WEBVTT

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Welcome to this.

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Within the activities developed by the
Doctoral School

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and within the European Doctoral Day.

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I would like to welcome you to this 6th
Congress

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of the International Doctoral School.

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First of all, I wanted to thank you.

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I wanted to thank all of you for being
here,

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both doctoral students and researchers.

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The coordinators, the doctoral programs,
all of you

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involved in this, and particularly, of
course, the

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doctoral school headed by its director.

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And of course, to José María Martel, who
is vice president

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of the Council, particularly for
Scientific and Technical Research.

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Thank you so much for being here with us
and dedicating your time

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to us and being willing to give us the
plenary session.

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And first of all, I'm going to give the
floor to the person responsible

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for and the author of this entire
meeting, who is the one who has truly

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brought it to fruition and who is so
successfully leading our International

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Doctoral School forward.

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Mariluz, please.

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Thank you very much, Vice-Rector.

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Well, the Vice-Rector has already given
the welcome, but please allow me, on

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behalf of the International Doctoral
School of the Rey Juan Carlos University,

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to formally welcome you to this 6th
Congress of the School.

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We also celebrate today the European
Doctoral Day, May 13th.

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We have also joined a European network in
which many

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institutions across Europe are
celebrating this day,

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and on the European PhD website you can
also find this

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Congress as the activity with which the
Rey

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Juan Carlos University is celebrating it
today.

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Well, you know very well because you are
now in the middle of

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developing a doctoral thesis, that
research is fundamental

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and that especially today, the generation
of knowledge,

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and not only the generation, but the
transfer of it, becomes

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the fundamental axis of all economic
progress, social progress in general.

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In this sense, doctoral studies are not
only the

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culmination of the highest level of
training that

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can be acquired, but through research,
the aim is

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precisely to transfer to society all of

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the ideas you present in your doctoral
theses.

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That's why we think meetings like this
are very positive, because

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they undoubtedly help you to spread the
word and also to make contact

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with other people who are in the same
situation as you.

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The specific case of the International
Doctoral Congress of the Rey Juan

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Carlos University brings together all
branches of knowledge.

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As you will have seen in the program,
which is a broad program, it is a

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complete

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program where all branches of knowledge
are present.

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Please allow me to give you some data
because we are very satisfied.

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We have achieved a fairly interesting
success rate.

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We have received a total of 165 proposals
for participation that will be

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developed; not all of them, because some
were not selected, but they will

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be developed in poster format and in
communication format.

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We have 250 registered participants, and
there is a significant representation

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here now, but more will be arriving
throughout the day, and it's all very

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interesting.

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82% of these proposals are from doctoral
students and doctoral

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students from outside the Rey Juan Carlos
University.

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In other words, we have opened a space,
in this case to all of Spain,

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because we have doctoral students from
all over Spain.

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Throughout the day we have prepared an
intense academic program.

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First, there will be a plenary
presentation by the Vice President of

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Scientific and Technical Research of the
Higher Council for Scientific

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Research, Dr. Martel, where he will
provide us with his strategic vision

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on the development of the impact of the
research career.

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Let's develop.

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After that, there will be a pause in the
available program.

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We will develop seminars, knowledge
programs taught

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by experts who will talk about
methodologies, research

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tools, and scientific foundations in each
of the disciplines.

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There will be a seminar.

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Then you will all have to divide up among
those seminars the one that interests you

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most.

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We have also prepared tables with
presentations and desserts,

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which is really where the doctoral
students make

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their contributions, the ones they have
sent us.

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And as I was saying, beyond the data,
this congress

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represents a space for meeting,
collective learning and network building.

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And I will conclude by thanking all the

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people who have made this day possible.

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We've been working on this event for
months.

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Firstly, to the doctoral students, both
to the management team represented

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by the different sectors in the different
areas and to the technical

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administrative staff in management and
services.

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I would like to make a special mention of
Gonzalo Viñuales and Alejandro,

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from the Administration and Services
staff, who have dedicated many hours.

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But I would also like to thank, of
course, the speakers, both in the plenary

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session and in the various seminars, the
evaluators of the proposals who

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have also done a great job, the
moderators of all the tables, and of

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course,

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also the doctoral students and PhD
candidates who are the true protagonists

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of this day.

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I encourage you then to make the most of
today, let it serve, as I say,

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as a meeting place and to continue
building together

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and promoting the advancement of
knowledge.

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Thank you so much.

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Thank you so much.

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Thank you very much, Mariluz.

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Well, she has reflected it well and I
wanted to highlight some

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element that is closely linked to how we
interpret the doctoral school at the

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university.

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The doctorate, as she so rightly said, is
not just the final stage of an

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educational career, it is really the
beginning of a professional

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activity that has an objective which is
to transform, to truly transform the

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world.

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Any social change we want to have, any
technological change,

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any element, is necessarily based on
research, right?

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100% of it is developed and takes place
from universities,

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but often that initial seed, that idea,
sometimes a little

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absurd, has often been born in a
university and often has been

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born from a young researcher in training,
who are the ones who

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sometimes assume more risks, with an idea
that they have.

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And we, as directors, sometimes take the
risk on

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their own hopes and their own energy,
because in the

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end, it is really the doctoral students
who drive

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research and who truly have a greater
impact.

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An important element of our university is
that it changes, and that

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drive is really very transversal to all
areas of knowledge.

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When one analyzes the Rey Juan Carlos
University, one realizes that we are

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practically present in all areas: the
humanities, the arts, legal sciences,

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economics—I could mention all the
doctoral programs we have that cover

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everything from these aspects to the most
technological and health sciences,

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and I am also grateful that they have
given us the opportunity to have this

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magnificent setting.

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And that's because the King Juan Carlos
University is truly very cross-cutting

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with society.

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When one analyzes what the Rey Juan
Carlos I University is like

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in the doctoral program, it is also a
reflection of this.

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It is truly perhaps the university most
for the people of Madrid

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and truly also open to the entire
community, to everyone, to the entire

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country and beyond.

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We are opening our borders to incorporate
more researchers in

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training from abroad and also established
researchers.

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Within this effort there is one element
that we are working on very

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intensely at the International Doctoral
School, and that is

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adapting it to the circumstances we have
right now.

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And one of the biggest circumstances is
that we have a huge demand

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from doctoral students, and one of the
first efforts we are making

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is to increase the number of students we
admit into our programs.

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It is essential that all students who
want to participate

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and all professors who want to lead can
find in the doctoral

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school a forum to coincide with these
interests of

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development, training and professional
development.

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And that's what we want to do, provide
this and gradually

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adapt our structures to the circumstances

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and to our capacity to keep developing.

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The students.

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You know that a doctoral thesis is a
complex step; it's a marathon, not a

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sprint.

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One either finishes or doesn't have a
degree, doesn't have a master's degree.

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And now suddenly you say now comes a very
long period

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too, like all the stages that require a
lot of effort.

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In the end, I believe it produces great
satisfaction, and

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our goal within the doctoral school and
within the university

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itself is that the challenge and the
struggle are

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found above all in the scientific
aspects.

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We will try to roll out the red carpet
for everything else so that you

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can do it with as much ease as possible
within this very complex

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environment in which we have to operate,
and which, well, sometimes limits

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everything we would like to do.

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But well, what I also want is for it to
have a favorable environment,

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and I think these days are this
particular day.

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I think it's an excellent place for you
to do that, so you can see, compare,

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and receive information from people who
have already done that work.

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We were all there not too long ago, or
maybe a little

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longer, but it's etched in our memories.

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Those stages in life, in life that truly
leave their mark on you.

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You don't mention when I was in high
school, when I was in

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college, when I did my thesis, enjoying
it and finding in us

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companions for everything you want to
develop

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and to help and accompany you in this
development.

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So none of that, just that this Congress,
this day,

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be productive and enriching for everyone.

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And that's all, thank you and welcome to
this day.

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Let's begin then with the plenary
presentation.

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I am going to give a brief introduction
of the

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speaker, José María Martel Berrocal.

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He is a prominent researcher in the field
of mathematics.

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He currently holds senior management
responsibilities in the Spanish

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scientific system.

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As Vice President of Scientific and
Technical Research at the

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Spanish National Research Council, I
assumed strategic

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responsibilities related to the planning,
coordination and

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development of science policy, as well as
promoting research careers in Spain.

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With a PhD in Mathematical Sciences from
the Autonomous University of Madrid,

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he has developed a solid and recognized
scientific career in the field of

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harmonic

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analysis, equations, partial differential
equations and the geometric theory of

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measure.

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In 2005 he joined the CSIC as a Ramón y
Cajal researcher, becoming part of

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its staff as permanent personnel in 2008
and in 2013 he was distinguished

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with a piano publishing console and is a
research professor at the Institute

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of Mathematical Sciences, where he has
held the positions of vice-rector

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and director and has also been director
of the Center for

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Theoretical and Mathematical Physics of
the CSIC.

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His profile combines extensive experience
in cutting-edge research

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with deep knowledge of the scientific
system and career paths in the

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field of and more, making him a
particularly authoritative voice to

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address the challenges and opportunities
of the research career in the current

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context.

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Chema, we want to expressly thank you for
agreeing to

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participate in giving this plenary
presentation.

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First of all, let me begin by thanking
you for the

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invitation and thanking the Vice-Rector,
Director

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Mariluz, and Joaquín for the opportunity
and their kind words.

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It is certainly a pleasure to be able to

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participate here today with you all in
this.

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In this opening conference of this

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International Doctoral School in.

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As I said in the presentation, I am a
researcher, I am a mathematician who has

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spent many years studying mathematics.

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But it is true that in recent years I
started a bit with the management aspect

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by directing

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the Institute of Mathematical Sciences on
the campus of the Autonomous University

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and

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lately I dedicate myself more to
management from the vice-presidency of

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the CSIC and I have very little time left
to do mathematics.

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Virtually none, but I'll do math again.

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I think she was saying it.

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Joaquín said.

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It is true that we researchers have this
internal thing

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that drives us, we are driven by science,
we are driven

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by curiosity, we are driven by knowledge
and we all enjoy what we do.

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I'm going to.

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When I was thinking a bit about how to
approach

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this conference, I wanted two things.

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One is, firstly, that it might serve a
little as motivation for those of

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you in the front rows, who already come
from the world of research.

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Nothing I'm about to say will surprise
us.

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But of course, there are many young
people here, some of whom have been

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working on their theses for a short time,
others for a longer time.

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And well, it's true that it's always
good, or I've always

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liked, to learn from others or to look at
the science career from another point of

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view.

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So my idea is, in the first half, to talk
a little about the

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research career, and when we talk about
the research career, we'll see.

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We need to think about the research
career, a bit about the big picture and

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not so

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much about the academic career, which is
only one of the options.

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Partly because of how we do science?

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He does a little more thinking. And then
1/2.

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Since I come from the CSIC and I have to
talk a little about my book, I will

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talk a little about the CSIC and the
opportunities that the Higher Council

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for Scientific Research presents in order
to be able to pursue research careers.

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I think we all have them today.

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Of course science exists, science is
transforming the world, artificial

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intelligence is transforming everything,
but especially science.

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For example, you can have a mammogram and
artificial intelligence

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is being used to detect micro tumors that
a human eye could no longer see.

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Or one can think of the COVID vaccine,
which was a

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significant scientific breakthrough based
on

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accumulated knowledge, as we will see
below.

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One can think of the beloved or desired
quantum computing,

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which is being worked on, quantum
communications, nuclear

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fusion as an unlimited source, and see
having genetic editing

00:14:50.560 --> 00:14:54.560
that allows us to have a genetically
modified organism that

00:14:54.560 --> 00:14:58.560
has to do with the development of
vaccines, even with making

00:14:58.560 --> 00:15:04.040
agricultural products much more
sustainable, much more resilient.

00:15:04.480 --> 00:15:08.480
The energy transition, all the research
being done on new sustainable

00:15:08.480 --> 00:15:12.480
energy developments, the developments,
the robots that are here in Spain,

00:15:12.480 --> 00:15:15.960
you don't see many robots, but if you go
to countries like China

00:15:15.960 --> 00:15:18.960
and Japan, they are already interacting
in many places.

00:15:19.000 --> 00:15:21.720
Climate change or the climate emergency.

00:15:21.720 --> 00:15:25.720
I really like to call it a long-term
investigation by people who have

00:15:25.720 --> 00:15:29.720
been researching and warning that this is
coming, and materials

00:15:29.720 --> 00:15:32.800
development, global health, space
exploration.

00:15:32.840 --> 00:15:36.840
In other words, I believe that science
has always played a very important

00:15:36.840 --> 00:15:39.840
role in history, changing the course of
human history.

00:15:39.840 --> 00:15:43.640
But in recent years we can see how
science is transforming the world in a

00:15:43.640 --> 00:15:45.560
radical way.

00:15:45.600 --> 00:15:47.920
But there is not only a transformation
from a technological point of view, in

00:15:47.920 --> 00:15:49.080
terms

00:15:49.080 --> 00:15:52.080
of the developments it makes, but it also
transforms us as a society.

00:15:52.080 --> 00:15:56.080
For example, we can now state that life

00:15:56.080 --> 00:16:01.760
expectancy has increased by six years
since 2000.

00:16:01.800 --> 00:16:05.800
This is because there is science behind
it, because we have increasingly better

00:16:05.800 --> 00:16:08.920
hospitals, better medicines, better care
that makes us better.

00:16:08.960 --> 00:16:12.480
Vaccines prevent 5 million deaths a year.

00:16:12.520 --> 00:16:15.160
Behind the development of vaccines and
many years of research, from the first

00:16:15.160 --> 00:16:16.520
vaccines

00:16:16.520 --> 00:16:19.160
to those we have recently had, such as
the COVID vaccine, we can talk about how

00:16:19.160 --> 00:16:20.520
an

00:16:20.520 --> 00:16:23.520
improvement in the quality of people's
lives has been achieved.

00:16:23.560 --> 00:16:26.320
We can also talk about communications.

00:16:26.320 --> 00:16:29.560
Communications are moving at an
astonishing speed.

00:16:29.680 --> 00:16:32.480
Nowadays we all carry a mobile phone.

00:16:32.480 --> 00:16:34.720
Sure, what are you guys doing now?

00:16:34.720 --> 00:16:35.600
Writing my thesis.

00:16:35.600 --> 00:16:37.640
When I started my thesis there was no
telephone.

00:16:37.640 --> 00:16:40.000
Well, I don't know if there were mobile
phones back then, I didn't have a mobile

00:16:40.000 --> 00:16:42.360
phone, I was already a bit older when
that happened.

00:16:42.360 --> 00:16:46.360
Nowadays we all carry a mobile phone, we
communicate

00:16:46.360 --> 00:16:51.200
instantly, we search instantly and we
have information in real time.

00:16:51.200 --> 00:16:56.920
Robots and drones are being developed
that can assess from space by color.

00:16:56.960 --> 00:17:00.960
Whether there are pests where fertilizers
should be applied or not, we are talking

00:17:00.960 --> 00:17:04.160
about precision agriculture, autonomous
vehicles, and smart mobility that reduces

00:17:04.160 --> 00:17:05.760
emissions.

00:17:05.840 --> 00:17:09.840
Everything that is observed from space,
that is, projects

00:17:09.840 --> 00:17:13.840
like Copernicus that allow us to act,
allow us to prevent crises

00:17:13.840 --> 00:17:17.760
and allow us to see what is happening
when there is, when there is a fire,

00:17:17.760 --> 00:17:19.760
robotic surgery.

00:17:19.760 --> 00:17:23.200
In other words, it's not just
technological development,

00:17:23.200 --> 00:17:26.200
but also how science changes us as a
society.

00:17:26.240 --> 00:17:29.880
But there is also another aspect that
changes us as a person.

00:17:30.440 --> 00:17:34.440
When a society is scientifically
cultured, scientifically trained,

00:17:34.440 --> 00:17:37.720
there is one very important thing which
is critical thinking.

00:17:37.720 --> 00:17:41.720
When you receive or read a news story or
watch a TikTok video,

00:17:41.720 --> 00:17:45.720
which is probably what you do, you have
to use critical

00:17:45.720 --> 00:17:49.720
thinking to see if what you're seeing
reflects reality or

00:17:49.720 --> 00:17:54.880
not, and this has a lot to do with the
scientific knowledge behind societies.

00:17:54.880 --> 00:17:58.880
To be more democratic, to be more
egalitarian, we need

00:17:58.880 --> 00:18:02.280
societies, we need societies that are
formed.

00:18:02.280 --> 00:18:06.280
Scientific culture helps us understand
how science exists within

00:18:06.280 --> 00:18:09.280
society, the association, the one we live
in.

00:18:09.280 --> 00:18:13.280
Problems are becoming increasingly
complex, and only

00:18:13.280 --> 00:18:17.280
through science can we solve them. This
includes the problem

00:18:17.280 --> 00:18:21.280
of misinformation—that is, behind TikTok
and Instagram,

00:18:21.280 --> 00:18:25.280
these videos that entertain us so much
when we're

00:18:25.280 --> 00:18:29.280
scrolling—there's a lot of contamination,
a lot of

00:18:29.280 --> 00:18:33.280
misinformation, deliberately created to
change people's

00:18:33.280 --> 00:18:37.280
behavior and create a scientifically
educated, scientifically

00:18:37.280 --> 00:18:41.280
literate society. This literacy, in the
scientific sense,

00:18:41.280 --> 00:18:45.400
fosters critical thinking, which makes us
better people.

00:18:45.400 --> 00:18:49.400
And a very important thing is that
decisions must be made based on evidence,

00:18:49.400 --> 00:18:53.600
and there is almost always scientific
evidence to support decision-making.

00:18:53.600 --> 00:18:57.600
When our politicians make a decision and
a society has to be

00:18:57.600 --> 00:19:01.360
confined because of the coronavirus or in
the case of hantavirus, what should be

00:19:01.360 --> 00:19:03.240
done?

00:19:03.240 --> 00:19:04.560
And what is the protocol?

00:19:04.560 --> 00:19:08.480
How long does a person have to incubate a
disease?

00:19:08.520 --> 00:19:12.520
It's because there is scientific evidence
behind the

00:19:12.520 --> 00:19:17.960
decisions, and scientists often work on
recommendations for decision-making.

00:19:17.960 --> 00:19:21.960
Politicians make the decisions, but it's
very good to think about

00:19:21.960 --> 00:19:25.520
and make science a part of those
scientific decisions,

00:19:25.520 --> 00:19:28.520
because that will make us better as a
society.

00:19:29.080 --> 00:19:33.080
And of course, if one wants to understand
all this impact that science

00:19:33.080 --> 00:19:37.080
has on people, on society, on
technological developments, then it is

00:19:37.080 --> 00:19:40.880
important to talk about what the cycle
is, the cycle of science.

00:19:40.920 --> 00:19:44.000
Science is born from curiosity, and
curiosity has always

00:19:44.000 --> 00:19:47.000
been born from it and will always advance
from curiosity.

00:19:47.000 --> 00:19:49.640
Of course, one cannot think of the mRNA
vaccine as if someone came one morning

00:19:49.640 --> 00:19:51.000
and said,

00:19:51.000 --> 00:19:54.440
"I'm going to make a learn vaccine," or
not; this comes from much earlier.

00:19:54.440 --> 00:19:57.440
It doesn't come, for example, from
thinking about what the...

00:19:57.480 --> 00:20:00.920
In other words, thinking about the
fundamental

00:20:00.920 --> 00:20:03.920
elements we have in our lives, how a cell
works?

00:20:03.920 --> 00:20:06.760
What is the simplest element that
describes how a cell works?

00:20:06.760 --> 00:20:09.080
Genetic predisposition, DNA studies, RNA?

00:20:09.080 --> 00:20:12.800
And one might think that's simply a
curiosity about how it works?

00:20:12.840 --> 00:20:15.600
In the case of quantum physics, one can
think about how atoms work, how the

00:20:15.600 --> 00:20:17.000
universe works.

00:20:17.000 --> 00:20:20.600
These are questions of scientific
curiosity, and fundamental

00:20:20.600 --> 00:20:23.600
research comes from that scientific
curiosity.

00:20:24.920 --> 00:20:26.880
Sometimes it's called basic science.

00:20:26.880 --> 00:20:29.840
There's no need to make a distinction.
That is, science is science, and there is

00:20:29.840 --> 00:20:31.360
good science and bad science.

00:20:31.400 --> 00:20:35.400
But there is a fundamental research that
seeks not so much the

00:20:35.400 --> 00:20:38.840
solution, but to understand things, and
that is fundamental.

00:20:38.840 --> 00:20:42.280
In other words, if you're researching,
you can't think about developing

00:20:42.280 --> 00:20:45.280
a vaccine if you don't know what you're
working with.

00:20:45.280 --> 00:20:48.560
One cannot understand how an ecosystem
system works if one does not know how it

00:20:48.560 --> 00:20:50.240
is working.

00:20:50.240 --> 00:20:51.280
No, he can't.

00:20:51.280 --> 00:20:55.280
You can't think you have fiber optic
communication and infrastructure

00:20:55.280 --> 00:20:59.000
if you don't know what communications are
and how light propagates;

00:20:59.000 --> 00:21:02.000
that fundamental information is very
important.

00:21:02.400 --> 00:21:06.080
We live in a world, an increasingly
practical world, in which we all seek

00:21:06.080 --> 00:21:07.960
immediacy and often we don't.

00:21:08.080 --> 00:21:12.080
We don't stop to think that behind that
immediacy there has to

00:21:12.080 --> 00:21:15.760
be an accumulated knowledge of history,
which is what makes us, what makes us

00:21:15.760 --> 00:21:17.640
advance.

00:21:17.640 --> 00:21:21.160
Sure, these days we just tap our phones,
open GPT Gemini for whatever,

00:21:21.160 --> 00:21:24.160
and it automatically tells you what's
available.

00:21:24.160 --> 00:21:26.800
But of course, how much accumulated
knowledge is behind it, and when that

00:21:26.800 --> 00:21:28.160
fundamental

00:21:28.160 --> 00:21:32.160
research is mature, when you start to see
technological developments, there is

00:21:32.160 --> 00:21:35.960
not a technological development, but
fundamental research behind it.

00:21:36.000 --> 00:21:40.000
And this is an important thing to keep in
mind, because many times in the

00:21:40.000 --> 00:21:44.000
world we live in we find ourselves in
this predicament of whether one does

00:21:44.000 --> 00:21:47.400
basic science or applied science; science
is science, but it

00:21:47.400 --> 00:21:50.400
does not always have to be based on
previous knowledge.

00:21:50.440 --> 00:21:54.440
There are technological developments,
there are prototypes, there

00:21:54.440 --> 00:21:57.600
are demonstrators; that is, science
evolves and there

00:21:57.600 --> 00:22:00.600
comes a point when science ends up
impacting society.

00:22:00.800 --> 00:22:05.120
Doesn't all science that begins with
curiosity impact society?

00:22:05.120 --> 00:22:08.400
For me, the best example is the photo of
the black hole.

00:22:08.400 --> 00:22:10.920
I don't know if you've seen it in
newspapers.

00:22:10.920 --> 00:22:13.680
At one point, a photo of a black hole was
taken.

00:22:13.680 --> 00:22:15.080
Several teams participated.

00:22:15.080 --> 00:22:17.800
What's the point of this? None.

00:22:17.800 --> 00:22:19.600
What is the purpose of a photo of a black
hole?

00:22:19.600 --> 00:22:22.400
Deep down it's useless, but it's very
useful.

00:22:22.400 --> 00:22:22.720
Because?

00:22:22.720 --> 00:22:26.720
Because it helps us understand the
universe, because it allows

00:22:26.720 --> 00:22:30.720
us to advance as humans in knowledge, and
because, believe it or

00:22:30.720 --> 00:22:34.720
not, behind the picture of the black hole
there is a lot of technology

00:22:34.720 --> 00:22:38.840
that has been developed that is useful to
us in our daily lives.

00:22:38.840 --> 00:22:42.040
In other words, many of the advances, for
example, GPS, first

00:22:42.040 --> 00:22:45.040
come from developments related to space
exploration.

00:22:45.040 --> 00:22:49.040
So one might think that one should only
do science, the kind that is useful and

00:22:49.040 --> 00:22:53.040
has an impact; one shouldn't do science
on everything, and there are things

00:22:53.040 --> 00:22:56.800
that, even if they are useless, end up
being useful, or there are things that

00:22:56.800 --> 00:22:58.720
never leave fundamental research.

00:22:58.720 --> 00:23:02.720
But as civilized people, as thinking
beings, we have the

00:23:02.720 --> 00:23:06.720
obligation to advance on the frontier of
knowledge and it

00:23:06.720 --> 00:23:12.560
always comes from a seed, it always comes
from a curious question, from a question.

00:23:12.560 --> 00:23:16.560
There may be times when it's serendipity,
but all scientific and technological

00:23:16.560 --> 00:23:19.840
advances always stem from the curiosity
of a researcher.

00:23:20.360 --> 00:23:24.360
Science is changing and today, as I was
saying, the problems we have are

00:23:24.360 --> 00:23:28.160
complex and when they are complex we have
to give complex answers.

00:23:28.320 --> 00:23:32.000
What we have, and what is clearly visible
today, is that science has to be

00:23:32.000 --> 00:23:33.880
multidisciplinary.

00:23:34.880 --> 00:23:38.880
Challenges such as global health, because
global health

00:23:38.880 --> 00:23:42.880
requires everyone to work together, from
chemists who design

00:23:42.880 --> 00:23:46.880
or work on drug design, to people who do
biomedicine, who see

00:23:46.880 --> 00:23:50.880
how those drugs will act on people, to
people in social sciences

00:23:50.880 --> 00:23:54.880
who study the impact of a disease on our
residence, or people

00:23:54.880 --> 00:23:58.880
who study the spread of viruses or people
who study how COVID

00:23:58.880 --> 00:24:02.000
was transmitted through surfaces.

00:24:02.000 --> 00:24:05.920
In other words, all of this involves
putting different branches of science

00:24:05.920 --> 00:24:07.880
together to work towards the same goal.

00:24:07.920 --> 00:24:11.320
And if one talks about climate change,
energy, food,

00:24:11.320 --> 00:24:14.320
technology, science is multidisciplinary.

00:24:14.360 --> 00:24:18.640
But that doesn't mean we all have to be
multidisciplinary.

00:24:18.680 --> 00:24:21.960
Some are lucky enough to be so; there
aren't many highly capable people who

00:24:21.960 --> 00:24:23.640
know everything and can do everything.

00:24:23.640 --> 00:24:27.280
But generally, science today is highly
specialized. It's not about knowing

00:24:27.280 --> 00:24:30.280
chemistry, physics, mathematics, or some
other artificial license.

00:24:30.400 --> 00:24:33.280
What I need to do is specialize and
surround myself with multidisciplinary

00:24:33.280 --> 00:24:34.760
teams.

00:24:34.800 --> 00:24:36.560
And this is how science works.

00:24:36.560 --> 00:24:37.200
Science.

00:24:37.200 --> 00:24:40.120
Today there are very important examples.

00:24:40.120 --> 00:24:40.600
All.

00:24:40.600 --> 00:24:43.920
For example, medical imaging devices.

00:24:44.000 --> 00:24:48.000
Behind medical imaging there are
mathematical problems, there are

00:24:48.000 --> 00:24:52.000
physical problems with applications to
the health field, and behind the

00:24:52.000 --> 00:24:55.640
development of biology is an example of
multidisciplinary science.

00:24:56.000 --> 00:25:00.000
All biophysical microscopy processes.

00:25:00.000 --> 00:25:01.240
How does that work?

00:25:01.240 --> 00:25:05.240
Someone was telling me at a biology
institute that when you get a cut,

00:25:05.240 --> 00:25:09.240
because the cut closes and your ear
doesn't grow back, well, this is a

00:25:09.240 --> 00:25:13.240
study that requires knowing biology, but
it also requires knowing

00:25:13.240 --> 00:25:17.240
physics, data science and materials
science; that is, all the developments

00:25:17.240 --> 00:25:21.480
you can see there today require things
that approach multidisciplinary.

00:25:21.480 --> 00:25:25.480
But as I say, it must be emphasized that
this does not mean that we have to be

00:25:25.480 --> 00:25:29.480
multidisciplinary, but rather that we
should surround ourselves with

00:25:29.480 --> 00:25:32.040
multidisciplinary environments and that
great challenges require great

00:25:32.040 --> 00:25:33.320
collaborations.

00:25:33.360 --> 00:25:36.600
And that is also the title of that
conference.

00:25:36.600 --> 00:25:40.120
Is it science or an international school?

00:25:40.160 --> 00:25:43.600
Science today, we can also say, is a
global science.

00:25:43.720 --> 00:25:47.720
Of course, you guys now, going back a bit
to those of us who are a few years

00:25:47.720 --> 00:25:51.720
old, when I started my thesis there was
hardly anything to search for

00:25:51.720 --> 00:25:55.280
articles, they would send you the
articles by email, you didn't

00:25:55.280 --> 00:25:58.280
ask for an email address, a library or
they would send it to you.

00:25:58.320 --> 00:26:00.640
Today you want to find an item that is
currently available.

00:26:00.640 --> 00:26:01.640
It's much easier.

00:26:01.640 --> 00:26:05.080
When I arrived there was already email,
but I almost got the feeling.

00:26:05.080 --> 00:26:10.000
But some of you may not have even had
email and work was done many years ago.

00:26:10.000 --> 00:26:11.960
Science was done by letter.

00:26:11.960 --> 00:26:16.360
Look at how communications, immediacy,
and what it does to us today...

00:26:16.360 --> 00:26:20.240
So, even if you don't have to go that
far, right?

00:26:20.280 --> 00:26:23.360
But before and after the pandemic, there
was a change

00:26:23.360 --> 00:26:26.360
in the way we do science using
videoconferencing.

00:26:26.400 --> 00:26:30.400
Well, before, nobody even considered
going to an online conference, and

00:26:30.400 --> 00:26:34.040
nowadays we're surrounded by things you
can connect to, what they're doing at

00:26:34.040 --> 00:26:35.880
Harvard, MIT, or wherever.

00:26:35.880 --> 00:26:40.840
So, nowadays science is global and also
requires globality.

00:26:40.840 --> 00:26:41.200
Because?

00:26:41.200 --> 00:26:43.320
Because science is a collaboration of.

00:26:43.320 --> 00:26:44.600
We're not going back to the same thing.

00:26:44.600 --> 00:26:48.600
If one wants to move forward, one needs
to have the best

00:26:48.600 --> 00:26:52.600
experts, and perhaps the best expert in
computational

00:26:52.600 --> 00:26:57.360
biology is not here; he is in Valencia,
or in Germany, or in China.

00:26:57.440 --> 00:27:00.240
So I think that nowadays it is very
important to think that science,

00:27:00.240 --> 00:27:03.080
moreover, does not understand the
boundaries of borders.

00:27:03.080 --> 00:27:06.680
These are restrictions that we, as
democratic societies, impose on them.

00:27:06.680 --> 00:27:10.000
But science doesn't understand those
boundaries.

00:27:10.600 --> 00:27:12.760
And it is also very important to remember
that science is not done in just one

00:27:12.760 --> 00:27:13.880
house.

00:27:13.880 --> 00:27:17.840
There are many environments in which one
can do science; we have the

00:27:17.840 --> 00:27:20.840
more academic environments, such as a
university.

00:27:20.880 --> 00:27:24.880
I come from the same research background,
but science is also

00:27:24.880 --> 00:27:28.880
done in hospitals and in public
administration itself, which

00:27:28.880 --> 00:27:32.880
uses science to make decisions, and
science is done in startups.

00:27:32.880 --> 00:27:35.880
In these companies that emerge from an
innovative idea, science

00:27:35.880 --> 00:27:38.880
is done in companies or also in
international organizations.

00:27:38.920 --> 00:27:41.800
The ecosystem is very varied, it is very
diverse, and when we talk about

00:27:41.800 --> 00:27:44.720
scientific careers we have to keep in
mind that the ecosystem is very varied.

00:27:44.720 --> 00:27:48.720
Now I'm going to talk a little bit about
that, but no, one doesn't have to think

00:27:48.720 --> 00:27:52.160
that the only scientific career is the
traditional career, and it's very

00:27:52.160 --> 00:27:53.880
important, a little bit.

00:27:53.880 --> 00:27:57.880
Returning to the topic of making it
visible, if we are thinking about

00:27:57.880 --> 00:28:01.520
the impact that science often has on the
lives of citizens,

00:28:01.520 --> 00:28:04.520
then today research and innovation go
hand in hand.

00:28:04.720 --> 00:28:08.720
Many years ago, or not so many years ago,
it seemed that the one who did

00:28:08.720 --> 00:28:12.720
research and innovation was the only one
who stood out. But nowadays,

00:28:12.720 --> 00:28:16.720
everything is much more interconnected,
and now research is not just

00:28:16.720 --> 00:28:20.720
about publishing papers, which is
important, but also about patenting,

00:28:20.720 --> 00:28:24.720
protecting results, collaborating with
companies, and providing advice.

00:28:24.760 --> 00:28:27.400
There are many ways: spin-offs are
created, patents are obtained,

00:28:27.400 --> 00:28:28.760
applications

00:28:28.760 --> 00:28:32.760
are made, and technology is transferred.
It is very important to remember that

00:28:32.760 --> 00:28:36.120
research and innovation is not just about
investing, especially if it

00:28:36.120 --> 00:28:39.120
is a small amount, but rather that it is
all part of the same process.

00:28:39.120 --> 00:28:42.520
Are there no lines where what is research
up to this point becomes innovation?

00:28:42.560 --> 00:28:46.560
Things have to go hand in hand to truly
advance, and

00:28:46.560 --> 00:28:49.600
scientific entrepreneurship is

00:28:49.600 --> 00:28:52.600
fundamental in the advanced society we
have.

00:28:52.600 --> 00:28:56.600
Scientific entrepreneurship ranges from
the discovery of

00:28:56.600 --> 00:29:00.680
ideas to their transfer, protection of
results, and creation.

00:29:00.720 --> 00:29:05.720
Not all researchers have to end up
creating a spin-off.

00:29:05.720 --> 00:29:09.720
Again, we can't think that we're all
going to be experts in five things: write

00:29:09.720 --> 00:29:13.120
many very good papers, and create many
very good companies.

00:29:13.120 --> 00:29:17.120
Everyone has to find their own space and
it ends up having a bit of an impact.

00:29:17.120 --> 00:29:21.120
Today, and in many technologies such as
technological advancement,

00:29:21.120 --> 00:29:24.320
public-private collaboration is very
important.

00:29:24.320 --> 00:29:26.960
I believe that here, both from the
university community and the research

00:29:26.960 --> 00:29:28.320
organizations,

00:29:28.320 --> 00:29:31.920
we are placing great importance on this
public-private collaboration that also

00:29:31.920 --> 00:29:33.760
helps us move forward.

00:29:34.440 --> 00:29:38.080
One of the simplest examples is the topic
of clinical trials.

00:29:38.080 --> 00:29:41.080
A clinical trial is impossible for one
person to undertake

00:29:41.080 --> 00:29:44.080
alone; it is something that depends on
public money.

00:29:44.200 --> 00:29:47.760
Because a clinical trial of any medicine
costs so much

00:29:47.760 --> 00:29:50.760
money that a public system would be
unable to do it.

00:29:51.120 --> 00:29:55.120
It's an example of collaboration where
you leave the lab,

00:29:55.120 --> 00:30:01.040
end up working with mice, create models,
and eventually conduct a clinical trial.

00:30:01.040 --> 00:30:03.440
There is a lot of public-private
collaboration and many of the

00:30:03.440 --> 00:30:04.640
technological

00:30:04.640 --> 00:30:07.640
developments we see come from
collaboration with business.

00:30:07.680 --> 00:30:08.160
Because?

00:30:08.160 --> 00:30:12.400
Because the company is a consumer of
innovation and science, right?

00:30:12.400 --> 00:30:16.080
In other words, companies need to have
good communications, companies need to

00:30:16.080 --> 00:30:17.960
have secure communications.

00:30:17.960 --> 00:30:21.960
For example, they used to bring up the
topic of quantum computing,

00:30:21.960 --> 00:30:25.960
when quantum computing is actually all
the algorithms used to

00:30:25.960 --> 00:30:29.960
encrypt our WhatsApp conversations, or
when we pay with a credit

00:30:29.960 --> 00:30:33.960
card. These computers could corrupt them
because they could make

00:30:33.960 --> 00:30:37.960
a comparison so fast that there's an
algorithm that deals with

00:30:37.960 --> 00:30:41.880
breaking down a very large number into
the product of two primes,

00:30:41.880 --> 00:30:44.880
which is impossible to do in real time
today.

00:30:44.880 --> 00:30:47.600
Well, this can be done.

00:30:47.600 --> 00:30:50.000
Sure, you can say, well, they're going to
steal my money.

00:30:50.000 --> 00:30:54.000
But of course, if we think about a large
company like Telefónica,

00:30:54.000 --> 00:30:58.000
like Boeing, like Airbus or any of the
large companies, if they

00:30:58.000 --> 00:31:01.640
suddenly get into your system and obtain
all the information you have, you have a

00:31:01.640 --> 00:31:03.480
problem.

00:31:03.480 --> 00:31:07.480
In fact, right now, as it is already
known that this is a reality,

00:31:07.480 --> 00:31:10.480
many, many times these hackers that you
hear

00:31:10.480 --> 00:31:13.480
about are dedicated to what are called
Arabs.

00:31:13.480 --> 00:31:17.480
In other words, you take all the
encrypted information that you can

00:31:17.480 --> 00:31:21.120
decrypt in the future, and I take your
phone and make a copy of it.

00:31:21.120 --> 00:31:23.880
It's useless to me now because you can't
find it, but when tomorrow I haven't

00:31:23.880 --> 00:31:26.640
given you the quantum encryption, I'll
have your entire past.

00:31:26.960 --> 00:31:30.960
This is a demand that companies and banks
have; if they don't update their

00:31:30.960 --> 00:31:34.080
cybersecurity systems, they're going to
have a problem,

00:31:34.080 --> 00:31:37.080
and so will we as a university and as a
public body.

00:31:37.080 --> 00:31:39.840
In other words, we protect our knowledge.

00:31:39.840 --> 00:31:43.760
If we expose all our knowledge, what will
happen to our patents?

00:31:43.760 --> 00:31:46.120
Therefore, we must also consider that the
company is a...

00:31:46.120 --> 00:31:50.080
The company is a demanding technology
company and also asks us

00:31:50.080 --> 00:31:53.080
scientific questions that we have to
answer.

00:31:53.600 --> 00:31:56.120
But of course, science is all about this.

00:31:56.120 --> 00:32:00.120
Very nice, but science is done by people,
it's done by those of

00:32:00.120 --> 00:32:04.640
us who are here now, some less, some
more, you who are in your studies.

00:32:04.640 --> 00:32:05.200
Doctorate.

00:32:05.200 --> 00:32:08.680
Science is done by people, and in fact,
the driving force of science is talent,

00:32:08.680 --> 00:32:10.440
and this is undeniable.

00:32:10.560 --> 00:32:14.560
And of course, that means we need curious
people,

00:32:14.560 --> 00:32:18.080
creative people, people with a passion

00:32:18.080 --> 00:32:21.080
for discovery, a passion for work.

00:32:21.080 --> 00:32:22.960
Science requires a lot of work.

00:32:22.960 --> 00:32:25.920
We also need people who are in continuous
training.

00:32:25.920 --> 00:32:29.920
In other words, science moves so fast
that after a while you

00:32:29.920 --> 00:32:34.120
become outdated, so it has to be people
who are constantly learning.

00:32:34.200 --> 00:32:38.640
We also need solid and sustainable
scientific careers.

00:32:39.240 --> 00:32:43.240
Spain and Europe are currently
experiencing, or have experienced, a

00:32:43.240 --> 00:32:47.360
golden age in science, with very stable
careers and public investment.

00:32:47.360 --> 00:32:51.760
But those of us who are a bit older have
seen critical moments for society.

00:32:51.760 --> 00:32:55.120
With the 2008 crisis, many of our
scientists left for other countries

00:32:55.120 --> 00:32:56.840
because there were no opportunities here.

00:32:56.840 --> 00:32:59.880
Sure, that's a loss of talent that makes
you stagnate, that is, lose your driving

00:32:59.880 --> 00:33:01.400
force.

00:33:01.400 --> 00:33:05.640
If you don't have someone to turn the
ignition key, you can't drive the car.

00:33:05.640 --> 00:33:09.640
That's why it's so important to have
stability in a scientific

00:33:09.640 --> 00:33:13.080
career, and a scientific career needs to
be somewhat

00:33:13.080 --> 00:33:16.080
stable, as we need it to be part of the
ecosystem.

00:33:16.200 --> 00:33:19.680
As we said before, science is done in
many places; it is done

00:33:19.680 --> 00:33:22.680
here in universities, in research, in
hospitals.

00:33:22.680 --> 00:33:26.680
We need an ecosystem that also allows the
flow of people, because

00:33:26.680 --> 00:33:30.680
what is certain, and this is very clear
in many places, is that it

00:33:30.680 --> 00:33:33.680
is not the best thing in the world to
think that one

00:33:33.720 --> 00:33:37.120
I'm going to do my thesis here, King Juan
Carlos, I'm going to do my postdoc, King

00:33:37.120 --> 00:33:38.840
Juan Carlos has become King Juan Carlos.

00:33:38.840 --> 00:33:42.680
Science works best when there is exchange
and when there is a flow of people.

00:33:42.680 --> 00:33:45.320
That's why we need an ecosystem, as the
phrase below says; without talent and

00:33:45.320 --> 00:33:46.680
without

00:33:46.680 --> 00:33:50.440
a commitment to sustainable scientists,
nothing. Transformative science.

00:33:50.440 --> 00:33:51.560
And that's something we need to be clear
about.

00:33:51.560 --> 00:33:54.760
And you are the driving force behind the
transformation of science, of the years,

00:33:54.760 --> 00:33:56.360
of the years to come.

00:33:58.080 --> 00:33:59.360
And that's what I was saying earlier.

00:33:59.360 --> 00:34:02.440
The scientific career has changed a lot
and is changing a lot.

00:34:02.520 --> 00:34:05.160
I think that if you look at the classic
model, already a bit black and white and

00:34:05.160 --> 00:34:06.520
perhaps

00:34:06.520 --> 00:34:10.480
a bit old-fashioned, the classic model
was one, he was finishing his career.

00:34:10.520 --> 00:34:12.000
I'm going to get good grades.

00:34:12.000 --> 00:34:15.560
You did your thesis, you went on a
postdoc.

00:34:15.880 --> 00:34:18.520
It is true that at that time it was
almost mandatory to leave Spain because

00:34:18.520 --> 00:34:19.880
otherwise they

00:34:19.880 --> 00:34:23.000
were not going to let you return and you
would end up as a teacher, or at a

00:34:23.000 --> 00:34:24.600
university, or at a research center.

00:34:24.600 --> 00:34:28.600
And this was practically the career path
for 90% of the people who

00:34:28.600 --> 00:34:32.600
fell by the wayside, which is a business
and many times it was seen

00:34:32.600 --> 00:34:36.240
almost as a failure and I had to leave
research to go work in a bank.

00:34:36.320 --> 00:34:40.080
Today this is completely different,
because a scientific career is much more

00:34:40.080 --> 00:34:41.960
than an academic career.

00:34:41.960 --> 00:34:45.720
There are careers in the academy and you
have to pursue careers in the academy.

00:34:45.760 --> 00:34:46.760
This is fundamental.

00:34:46.760 --> 00:34:49.760
In other words, the professors who teach
at

00:34:49.760 --> 00:34:52.760
universities are scientists and have to
be scientists.

00:34:52.760 --> 00:34:56.240
Well, to give good classes, there have to
be people who...

00:34:56.280 --> 00:34:58.920
In other words, we cannot think that if
there is no basic research being done in

00:34:58.920 --> 00:35:00.280
research

00:35:00.280 --> 00:35:03.280
centers, the university will be nothing,
because a company is not

00:35:03.280 --> 00:35:06.280
going to invest in basic research because
it is not profitable.

00:35:06.280 --> 00:35:09.960
So there has to be an academic career,
but there are also careers of

00:35:09.960 --> 00:35:12.960
researchers who finish their thesis and
go to a great company.

00:35:13.000 --> 00:35:15.280
We need to work to create researchers.

00:35:15.280 --> 00:35:17.000
They end up in companies. Why?

00:35:17.000 --> 00:35:20.360
Because that will make companies develop
and innovate more because now we will

00:35:20.360 --> 00:35:22.080
talk more.

00:35:22.080 --> 00:35:25.000
Do you want to develop this capacity for
innovation during your doctoral studies?

00:35:25.000 --> 00:35:26.880
There are also careers dedicated to
management.

00:35:26.880 --> 00:35:29.720
I myself am now an example that I will
leave management and return to doing

00:35:29.720 --> 00:35:31.160
science.

00:35:31.160 --> 00:35:33.800
But there are people who leave the
scientific career and dedicate themselves

00:35:33.800 --> 00:35:35.160
to

00:35:35.160 --> 00:35:38.960
management, One of the leading funding
agencies in Spain and the State Research

00:35:38.960 --> 00:35:41.960
Agency, which is the one that finances
our future research.

00:35:41.960 --> 00:35:44.560
The agency's current director was a
theoretical physicist.

00:35:44.560 --> 00:35:46.400
I think he was saying things, I don't
know if about strings or something like

00:35:46.400 --> 00:35:47.360
that.

00:35:47.360 --> 00:35:50.080
At one point in his life he left medical
research for management and he tells me

00:35:50.080 --> 00:35:51.440
so.

00:35:51.440 --> 00:35:55.080
That was a decision in my life to
dedicate myself to management, wasn't it?

00:35:55.240 --> 00:35:58.840
In other words, there are alternative
careers, there are careers

00:35:58.840 --> 00:36:01.840
that are not essentially academic, that
are necessary.

00:36:01.840 --> 00:36:04.640
Some careers end up involving making
political decisions.

00:36:04.640 --> 00:36:08.160
In fact, more scientists or political
decisions are needed because of how we

00:36:08.160 --> 00:36:09.920
have our minds furnished.

00:36:10.280 --> 00:36:14.000
Scientific consulting is a career in
itself, outreach.

00:36:14.200 --> 00:36:18.200
There are wonderful science communicators
who come from science and whom you

00:36:18.200 --> 00:36:21.400
will see many times on your social
networks, careers that are geared towards

00:36:21.400 --> 00:36:23.000
knowledge transfer.

00:36:23.240 --> 00:36:26.800
The ecosystem is very diverse, and the
research career is not its only one.

00:36:26.800 --> 00:36:30.000
There are many paths, and we must
remember that each person has to find

00:36:30.000 --> 00:36:31.640
their own way.

00:36:32.200 --> 00:36:33.960
This is already the case.

00:36:33.960 --> 00:36:36.840
I'm going to talk a little more about the
more scientific career, not the more

00:36:36.840 --> 00:36:38.320
academic one.

00:36:39.160 --> 00:36:43.160
In Europe, they have been reflecting for
some time on how to

00:36:43.160 --> 00:36:47.320
standardize and how to have a scientific
career in Europe.

00:36:47.320 --> 00:36:49.400
So that one can know where one is.

00:36:49.400 --> 00:36:53.200
Because, of course, as we said before,
science is global, so maybe someone is

00:36:53.200 --> 00:36:55.120
doing their thesis here.

00:36:55.120 --> 00:36:57.960
Then he goes on to do a postdoc in
Germany and ends up with a permanent

00:36:57.960 --> 00:36:59.400
position in Switzerland.

00:36:59.400 --> 00:37:03.400
So it was often not easy to understand
the different systems

00:37:03.400 --> 00:37:06.760
of the more academic career, how they
worked.

00:37:06.920 --> 00:37:10.000
And there is a document that I invite you
to look at that is in the faith.

00:37:10.120 --> 00:37:14.120
The Spanish Foundation for Science and
Technology, which

00:37:14.120 --> 00:37:17.880
is called El País, where using the
European model of.

00:37:18.680 --> 00:37:23.960
It defines the research career in four
main blocks: blocks R1, R2, R3, and R4.

00:37:24.120 --> 00:37:29.840
From the early stages of research to
leadership, research leadership.

00:37:29.840 --> 00:37:33.160
And those are the phrases, that is, R1
six.

00:37:33.160 --> 00:37:33.880
Most of those.

00:37:33.880 --> 00:37:37.880
This is the predoctoral phase, the phase
where you are doing

00:37:37.880 --> 00:37:41.880
research training, learning to
investigate, to develop, to

00:37:41.880 --> 00:37:47.040
think critically, to acquire scientific
skills, and this phase is fundamental.

00:37:47.040 --> 00:37:48.800
In other words, there are no shortcuts
here.

00:37:50.840 --> 00:37:54.840
A few months ago, with one of the people,
the CSIC has a

00:37:54.840 --> 00:37:58.840
scientific advisory committee made up of
researchers from

00:37:58.840 --> 00:38:02.840
Spain and abroad and who are super smart
people who don't

00:38:02.840 --> 00:38:06.400
always give us much inspiration and talk
to a person who.

00:38:06.440 --> 00:38:11.760
Isabel Fariñas, a person who works in
Valencia, is a wonderful neuroscientist.

00:38:11.760 --> 00:38:16.120
He has won a National Prize and he told
us how the brain works, he says.

00:38:16.440 --> 00:38:19.760
When one thinks about the brain, I think
it's a very important thing for science.

00:38:19.760 --> 00:38:23.760
The brain works because of the stimuli
you see and because of its

00:38:23.760 --> 00:38:27.600
capacity for anticipation, like you have
a... I'm not a neuroscientist,

00:38:27.600 --> 00:38:30.600
but this is what I was told and it
convinced me.

00:38:30.680 --> 00:38:34.160
So, since one already has past
experience, one knows that if one

00:38:34.160 --> 00:38:37.160
presses the light button, the light turns
on, right?

00:38:37.280 --> 00:38:40.800
You know that if you turn the clock, it
lights up and you can see the time.

00:38:40.800 --> 00:38:44.800
You know, for example, when you turn on
the car keys in the car, or when you turn

00:38:44.800 --> 00:38:47.560
on the television, or when you play
music, your ear expects to hear

00:38:47.560 --> 00:38:48.960
something.

00:38:48.960 --> 00:38:52.320
So it's another part of the stimuli,
let's

00:38:52.320 --> 00:38:55.320
say, and a kind of anticipation.

00:38:55.320 --> 00:38:59.320
This happens to us many times when
someone is speaking; we anticipate

00:38:59.320 --> 00:39:03.320
what they are going to say, and that is
what magicians use when they do

00:39:03.320 --> 00:39:07.320
their tricks, because what they generate
is distress or a zone where

00:39:07.320 --> 00:39:10.320
you don't feel comfortable, because what
you see with

00:39:10.320 --> 00:39:13.320
your stimuli is not what your brain
expects to see.

00:39:13.360 --> 00:39:15.960
And that's why we're suddenly surprised.

00:39:15.960 --> 00:39:19.960
What's wrong with us scientists?
Scientists have taught us that the

00:39:19.960 --> 00:39:23.920
brain has to work here because we've been
taught that we work based

00:39:23.920 --> 00:39:26.920
on evidence, and that takes a long time
to acquire.

00:39:26.920 --> 00:39:28.480
That's why it takes so long to write a
thesis.

00:39:28.480 --> 00:39:32.480
During the thesis and during scientific
training, one is continually

00:39:32.480 --> 00:39:35.680
learning that what one has to base
oneself on is scientific evidence, on

00:39:35.680 --> 00:39:37.280
data, on things.

00:39:37.280 --> 00:39:41.280
In other words, in an experiment, you
have to see what you're testing,

00:39:41.280 --> 00:39:44.760
and that takes a lot of time. That's why
it's often difficult

00:39:44.760 --> 00:39:47.760
to fool scientists about certain things.
Why?

00:39:47.760 --> 00:39:51.760
Why is our brain so much more accustomed
to looking

00:39:51.760 --> 00:39:55.760
for these things that suddenly make us
wonder, how

00:39:55.760 --> 00:39:58.960
can what I'm seeing in a graph be saying?

00:39:59.080 --> 00:40:03.080
Sometimes in political debates we see
someone suddenly pull out

00:40:03.080 --> 00:40:07.080
a graph with distorted scales, and anyone
who has ever seen a graph

00:40:07.080 --> 00:40:10.240
will say, "You say that on that graph
it's growing,"

00:40:10.240 --> 00:40:13.240
and then look at the graph and it's
decreasing.

00:40:13.240 --> 00:40:17.240
So we scientists are very used to working
on scientific

00:40:17.240 --> 00:40:21.480
principles, and I don't know if we are
often aware of them.

00:40:21.520 --> 00:40:25.520
And of course, as is often the case, it's
also true that, like everything else,

00:40:25.520 --> 00:40:29.200
maybe you have people at home who also
work in science, but the way we

00:40:29.200 --> 00:40:31.040
scientists work and think is different.

00:40:31.040 --> 00:40:33.400
That's why he speaks a little before the
one about the head.

00:40:33.400 --> 00:40:37.400
That's phase one, although this doesn't
end here, but the first

00:40:37.400 --> 00:40:41.400
phase includes getting your brain used to
working on evidence,

00:40:41.400 --> 00:40:44.440
because science always has to look at the
evidence.

00:40:45.600 --> 00:40:48.040
All series work more or less the same.

00:40:48.040 --> 00:40:50.200
Then there may be more things that are
more or less applied, because in the

00:40:50.200 --> 00:40:51.320
laboratory

00:40:51.320 --> 00:40:54.320
it can be more theoretical thinking and
that is the first phase one.

00:40:54.320 --> 00:40:58.320
The second phase is when you have already
done your thesis and you start a little

00:40:58.320 --> 00:41:02.040
in the first predoctoral phase, you are
emerging a little, you start to have your

00:41:02.040 --> 00:41:03.920
own line, but you don't have it.

00:41:03.920 --> 00:41:07.440
The third phase, the network, is when you
are already established as a researcher.

00:41:07.440 --> 00:41:09.800
I am a researcher, I have my own line of
research, but maybe you don't have that

00:41:09.800 --> 00:41:11.000
leadership.

00:41:11.000 --> 00:41:14.400
You still depend on a group where you
have a boss who is already starting to

00:41:14.400 --> 00:41:16.120
become completely independent.

00:41:16.120 --> 00:41:19.240
And the 4th phase is when it's scientific
leadership.

00:41:19.280 --> 00:41:23.280
And this, this is a bit of a review that
has been done of how to

00:41:23.280 --> 00:41:27.280
classify, and if we take it to the
Spanish system, so that we

00:41:27.280 --> 00:41:31.280
know what opportunities there are, or the
figures that we know

00:41:31.280 --> 00:41:35.280
in the more academic career, which
correspond to R1, R2, RT,

00:41:35.280 --> 00:41:39.280
R4, or it invites other forms that the
document deserves, which

00:41:39.280 --> 00:41:43.280
is much more complete about this. Well,
we can think of R1 in

00:41:43.280 --> 00:41:47.280
predoctoral training, from the FPU
grants, from the FPI grants,

00:41:47.280 --> 00:41:51.280
or now they are called PIB from the
ministry, we have things

00:41:51.280 --> 00:41:55.280
that are research introduction programs
or doctoral programs,

00:41:55.280 --> 00:41:59.280
regional contracts, industrial
doctorates, training, the

00:41:59.280 --> 00:42:03.280
path to the doctorate. R2, which are the
first, let's say, 1/1

00:42:03.280 --> 00:42:07.280
of the postdoctoral stage, not
postdoctoral, junior

00:42:07.280 --> 00:42:12.160
postdoctoralists, such as the Juan de la
Cierva Program, the Marie Curie.

00:42:12.320 --> 00:42:15.280
There are predoctoral contracts, that is,
there we have 1/1.

00:42:15.280 --> 00:42:18.200
Then he evolves into an established
researcher.

00:42:18.200 --> 00:42:22.120
In Spain we have the Ramón y Cajal
program, which is an example of R3 or of

00:42:22.120 --> 00:42:25.120
getting involved in many times getting
involved in one.

00:42:25.440 --> 00:42:28.960
It's not R2 and the beginning of R3.
There are regional

00:42:28.960 --> 00:42:31.960
talents in the Community of Madrid, for
example.

00:42:31.960 --> 00:42:34.840
There are talent programs in almost every
community.

00:42:34.840 --> 00:42:38.840
And then the more established part and
leadership comes

00:42:38.840 --> 00:42:42.640
when one is already permanent in
universities, units.

00:42:42.640 --> 00:42:45.840
In research centers where there is
something missing.

00:42:45.840 --> 00:42:48.640
For example, in universities there are
contracted doctoral staff, university

00:42:48.640 --> 00:42:50.040
degree holders, and professors.

00:42:50.040 --> 00:42:52.600
At CSIC we have scientist, tenured
professor, researcher, research

00:42:52.600 --> 00:42:53.880
scientist.

00:42:53.920 --> 00:42:56.920
Those are once you already have your
permanent position; it's independent.

00:42:57.880 --> 00:43:01.280
There are different stages, that is, not
everyone has to be a professor.

00:43:01.280 --> 00:43:05.280
There are people who stay, but let's say
one is scientifically

00:43:05.280 --> 00:43:08.280
independent and that's a bit like how the
one who

00:43:08.280 --> 00:43:11.280
appears in Europe with the Spanish system
is transferred.

00:43:11.280 --> 00:43:13.360
But as I said, that's the more academic
part.

00:43:13.360 --> 00:43:17.360
But we also have to consider that there
are other careers that are also

00:43:17.360 --> 00:43:21.360
fundamental to fixing science from a
scientific management perspective,

00:43:21.360 --> 00:43:24.720
since nowadays all universities have
managers of people who are dedicated to

00:43:24.720 --> 00:43:26.400
project management.

00:43:26.400 --> 00:43:29.040
Project management is not just the
administrative part of the justification

00:43:29.040 --> 00:43:30.400
box, but

00:43:30.400 --> 00:43:34.080
also people who are dedicated to finding
projects, working on project evaluation,

00:43:34.080 --> 00:43:37.080
accompanying them, and the mysteries of
project management.

00:43:37.240 --> 00:43:39.000
There are many.

00:43:39.000 --> 00:43:43.000
In my team I have people who have chosen
that path, that is, people who

00:43:43.000 --> 00:43:47.000
have done their theses and after the
thesis have decided I want to

00:43:47.000 --> 00:43:50.440
dedicate myself to scientific management
and it is a job, I assure you, very, very

00:43:50.440 --> 00:43:52.200
rewarding.

00:43:54.080 --> 00:43:56.720
My life is quite complicated and I don't
have time to prepare such beautiful

00:43:56.720 --> 00:43:58.080
talks,

00:43:58.080 --> 00:44:00.720
so the person who helped me prepare this
talk is someone who comes along, who has

00:44:00.720 --> 00:44:02.080
that

00:44:02.080 --> 00:44:05.280
path, that is, who helps me, who helps us
prepare projects and who,

00:44:05.280 --> 00:44:08.280
thinking together, helps us to decide
what we can talk about?

00:44:08.280 --> 00:44:12.280
At a conference in the Carlos region, we
were thinking together, if it helps,

00:44:12.280 --> 00:44:16.280
well, with those ideas, and there is a
scientific management aspect that is

00:44:16.280 --> 00:44:20.280
very important, all the technical work,
that is, there are people who from the

00:44:20.280 --> 00:44:24.280
beginning want to be a technician and
dedicate their work to being a laboratory

00:44:24.280 --> 00:44:28.280
technician, but there are other careers
of personnel who say, look, I have

00:44:28.280 --> 00:44:32.280
done my thesis, I have done my doctorate,
but that thing of being all day asking

00:44:32.280 --> 00:44:35.520
for projects and competing and doing
papers is not for me.

00:44:35.520 --> 00:44:37.280
I prefer to get my hands dirty in the
lab.

00:44:38.240 --> 00:44:40.120
Well, some people choose a technical
career.

00:44:40.120 --> 00:44:42.240
It's also a very interesting career.

00:44:42.240 --> 00:44:45.600
Scientific advice, scientific advice is
essential.

00:44:45.600 --> 00:44:46.480
That's what I was saying.

00:44:46.480 --> 00:44:50.320
The decisions these politicians make must
be backed by scientific evidence, advice,

00:44:50.320 --> 00:44:52.280
and support.

00:44:52.520 --> 00:44:53.640
I'm telling you from experience.

00:44:53.640 --> 00:44:57.640
At the CSIC, decisions such as whether
cod, sardines or halibut

00:44:57.640 --> 00:45:01.440
can be fished depend on scientific work
behind them that tells you what the

00:45:01.440 --> 00:45:03.360
stocks are.

00:45:03.640 --> 00:45:07.640
This is fundamental and it not only has
an impact on what we put in, but also

00:45:07.640 --> 00:45:11.640
an impact on the territory, an impact on
the sector, an impact on what many

00:45:11.640 --> 00:45:15.640
families eat. Good advice can make the
Spanish production system grow or

00:45:15.640 --> 00:45:19.640
it can cause a certain area of ​​Spain to
run out of resources because there

00:45:19.640 --> 00:45:23.560
are no resources, it hasn't been done,
the right decision isn't made.

00:45:25.120 --> 00:45:27.960
There are also many people who go to work
in large infrastructure projects.

00:45:27.960 --> 00:45:31.240
In other words, I don't know if you know
much about CERN, the place where they

00:45:31.240 --> 00:45:32.920
found the Higgs boson.

00:45:32.920 --> 00:45:36.680
In Europe there is a whole type of
professional with amazing technological

00:45:36.680 --> 00:45:39.680
developments, dissemination and
scientific communication.

00:45:39.680 --> 00:45:43.680
It is also an emerging career, which is
already very advanced, and there are

00:45:43.680 --> 00:45:47.840
people who are professionals, they are
popularizers and they do a great job.

00:45:47.840 --> 00:45:48.400
Because?

00:45:48.400 --> 00:45:52.400
As I said before, it is essential that
science permeates society and the whole

00:45:52.400 --> 00:45:55.600
issue of scientific data management,
because science produces millions of data

00:45:55.600 --> 00:45:57.240
points.

00:45:57.240 --> 00:46:00.600
And now this is also a professional
opportunity.

00:46:00.680 --> 00:46:04.680
And then it is also essential to consider
that careers are no longer linear,

00:46:04.680 --> 00:46:08.120
as we said before, only the academic one,
that there is a lot of mobility between

00:46:08.120 --> 00:46:09.840
sectors.

00:46:09.880 --> 00:46:10.560
Mobility.

00:46:10.560 --> 00:46:12.760
Sometimes it's a path with several paths.

00:46:12.760 --> 00:46:16.760
There needs to be mobility of people
going from academia, companies

00:46:16.760 --> 00:46:20.400
going from academia, the administration
going to that sector, and people going

00:46:20.400 --> 00:46:22.240
back and forth.

00:46:22.240 --> 00:46:24.560
And I think that's what makes us better.
Why?

00:46:24.560 --> 00:46:27.640
Because, once again, it's about creating
an ecosystem.

00:46:27.880 --> 00:46:31.880
In other words, we have to get used to
the fact that, very importantly,

00:46:31.880 --> 00:46:35.880
we're used to researchers, professors,
and university staff who might

00:46:35.880 --> 00:46:39.600
leave for a ministry for a few years,
then come back, or go to a company,

00:46:39.600 --> 00:46:42.600
or stay, or go somewhere else. NG, for
example.

00:46:42.600 --> 00:46:46.600
I believe it is fundamental because in
the end the ecosystem is very varied

00:46:46.600 --> 00:46:49.520
and in ecosystems, as you well know,
there will be biologists here who know

00:46:49.520 --> 00:46:51.000
much more.

00:46:51.080 --> 00:46:52.240
More than I know about this.

00:46:52.240 --> 00:46:53.520
I will keep the biology.

00:46:53.520 --> 00:46:57.520
The ecosystem is not just what happens to
an individual

00:46:57.520 --> 00:47:00.680
species, but how species interact with
each other.

00:47:00.800 --> 00:47:02.760
And this is a fundamental part.

00:47:03.840 --> 00:47:07.600
The doctorate has a certain value, as I
mentioned before with the example of

00:47:07.600 --> 00:47:09.480
neuroscience.

00:47:09.480 --> 00:47:14.520
A doctorate has value in itself, in how
our mind works.

00:47:14.680 --> 00:47:18.680
When we do science, our mind works. We
are taught to work in a way

00:47:18.680 --> 00:47:22.720
that is possibly not the same as how it
works in other fields.

00:47:22.720 --> 00:47:26.440
In a doctoral program, it's encouraged;
you have to solve problems.

00:47:26.440 --> 00:47:29.160
A doctorate that doesn't solve the
problem isn't a doctorate.

00:47:29.160 --> 00:47:33.160
Critical thinking is fundamental because
every scientist

00:47:33.160 --> 00:47:36.360
starts with hypotheses and ends up with a
thesis.

00:47:36.360 --> 00:47:37.520
This is critical thinking.

00:47:37.520 --> 00:47:39.480
You need to find the procedure.

00:47:39.480 --> 00:47:43.080
There needs to be creativity, depth,
innovation, and management of

00:47:43.080 --> 00:47:44.880
uncertainty.

00:47:44.880 --> 00:47:47.520
That is to say, of course, perhaps you,
those who have been working on your

00:47:47.520 --> 00:47:48.880
thesis for a while,

00:47:48.880 --> 00:47:51.600
have encountered difficult moments where
suddenly, something attacks you and you

00:47:51.600 --> 00:47:52.960
get stuck.

00:47:52.960 --> 00:47:57.000
And this is so, but it's part of it, it's
part of what makes us good scientists.

00:47:57.000 --> 00:48:01.000
If we all had the answers to the question
of what the

00:48:01.000 --> 00:48:05.960
purpose of science was, we would learn a
lot, not just from success.

00:48:06.000 --> 00:48:06.680
That's very nice.

00:48:06.680 --> 00:48:09.640
Many times when we think about science we
know and have found the COVID vaccine,

00:48:09.640 --> 00:48:11.160
right?

00:48:11.320 --> 00:48:13.400
But how many failures were known before?

00:48:13.400 --> 00:48:16.680
Those failures have helped us achieve
ultimate success.

00:48:16.680 --> 00:48:20.680
Science also learns a lot from the
failure aspect,

00:48:20.680 --> 00:48:24.680
and the doctorate is not just about
training

00:48:24.680 --> 00:48:28.400
researchers who are people we ultimately
transform.

00:48:28.400 --> 00:48:32.240
Transforming the world, as we have said
before, because science serves to impact

00:48:32.240 --> 00:48:34.200
people.

00:48:34.200 --> 00:48:36.920
In the end, our way of being, as people.

00:48:36.920 --> 00:48:39.400
That was already said in the
presentation.

00:48:39.400 --> 00:48:42.640
A scientific career is a marathon, not a
sprint.

00:48:43.560 --> 00:48:47.040
Anyone who thinks this is a race, a
sprint, I'll come in here for two years

00:48:47.040 --> 00:48:48.800
and achieve something.

00:48:49.000 --> 00:48:51.200
He has chosen, he has chosen the wrong
path. Why?

00:48:51.200 --> 00:48:53.400
Because it's a long race.

00:48:53.400 --> 00:48:54.840
A scientific career is very long. Why?

00:48:54.840 --> 00:48:58.080
Because deep down, one never stops being
a scientist.

00:48:58.080 --> 00:49:01.280
And no, it never stops constantly
learning, constantly asking questions,

00:49:01.280 --> 00:49:02.920
constantly solving problems.

00:49:02.920 --> 00:49:06.200
It's a very long career, a very demanding
career personally.

00:49:06.200 --> 00:49:06.960
That is to say, the.

00:49:06.960 --> 00:49:10.960
A scientific career requires many
personal sacrifices, that is,

00:49:10.960 --> 00:49:14.840
many hours of work, many hours of
individual work, many hours in

00:49:14.840 --> 00:49:17.840
the laboratory, and where there are no
set workdays.

00:49:18.080 --> 00:49:22.080
I believe that all of us who like the
science of consciousness know that

00:49:22.080 --> 00:49:25.080
science could occupy our 24 hours and we
would be happy.

00:49:25.440 --> 00:49:29.440
One also has to find time for other
things, but it is a very demanding

00:49:29.440 --> 00:49:33.440
job that involves mobility, as I said
before, which nowadays,

00:49:33.440 --> 00:49:37.840
one cannot conceive of being in one
place, of being in one place.

00:49:37.920 --> 00:49:41.720
One has mobility and maybe you have to go
abroad for a year, or two

00:49:41.720 --> 00:49:44.720
or three or nine years, or stay abroad
and that's it.

00:49:44.760 --> 00:49:47.480
Not all jobs require that mobility.

00:49:47.480 --> 00:49:50.160
There are people who find work, although
job mobility is much more common today,

00:49:50.160 --> 00:49:52.840
but perhaps they find their job in
Madrid.

00:49:52.840 --> 00:49:54.800
You're going to Madrid for science.

00:49:54.800 --> 00:49:57.440
Many of you here have probably been
abroad because there weren't any

00:49:57.440 --> 00:49:58.800
opportunities,

00:49:58.800 --> 00:50:02.400
because it's part of a scientific career.
There isn't much uncertainty;

00:50:02.400 --> 00:50:05.400
there are different stages, there are
tough times.

00:50:05.400 --> 00:50:08.800
Science isn't all sunshine and rainbows;
it has its tough moments, and there's

00:50:08.800 --> 00:50:10.520
also continuous evaluation in science.

00:50:11.240 --> 00:50:13.640
Now we're going to talk a little bit
about science.

00:50:13.640 --> 00:50:18.000
Because what we are doing is advancing
the knowledge we are making, impacting.

00:50:18.000 --> 00:50:20.640
Society has to value it, but also, of
course, that's a bit like saying the

00:50:20.640 --> 00:50:22.000
career isn't

00:50:22.000 --> 00:50:24.480
getting bad, sure, but the scientific
career, if I'm here it's because I like

00:50:24.480 --> 00:50:25.760
it

00:50:25.760 --> 00:50:28.760
and I think those of us who are here are
here because we like it.

00:50:28.760 --> 00:50:30.760
She's super creative.

00:50:30.760 --> 00:50:33.400
A scientific career is an opportunity to
grow personally and to grow

00:50:33.400 --> 00:50:34.760
scientifically,

00:50:34.760 --> 00:50:38.760
because even though we say that when you
are doing your thesis, your supervisor

00:50:38.760 --> 00:50:42.720
tells you or can guide you by the hand,
telling you what you have to do.

00:50:42.720 --> 00:50:45.280
But as you move forward in that one
around, three or four, you are the one

00:50:45.280 --> 00:50:47.840
who leads by the hand or the one you
create.

00:50:47.840 --> 00:50:51.120
A super creative career is very
stimulating, very science, and also very

00:50:51.120 --> 00:50:52.800
frustrating.

00:50:52.880 --> 00:50:56.880
When things fail, it drives you crazy,
but when you suddenly have a

00:50:56.880 --> 00:51:00.880
breakthrough, or when you have your first
paper, or when one day in your

00:51:00.880 --> 00:51:04.800
lab, or in your theoretical self in my
head, I suddenly saw the first thing I

00:51:04.800 --> 00:51:06.760
solved, it's a whole new world.

00:51:06.760 --> 00:51:10.400
This is also somewhat of a disadvantage,
and it is very transformative.

00:51:10.400 --> 00:51:14.240
We don't always see it, but scientists
have a

00:51:14.240 --> 00:51:17.240
very transformative way of thinking.

00:51:17.240 --> 00:51:20.680
ES is not a sprint, it's a marathon and
you have to keep that in mind.

00:51:20.680 --> 00:51:24.280
That has to be taken into account, of
course.

00:51:24.280 --> 00:51:26.920
He mentioned very little, not the
scientific career.

00:51:26.920 --> 00:51:30.920
We are transforming, we are transforming

00:51:30.920 --> 00:51:34.560
society, we are advancing in knowledge.

00:51:34.560 --> 00:51:38.680
It requires the evaluation of this
scientific excellence.

00:51:39.120 --> 00:51:42.000
Today, the way we evaluate is changing a
lot.

00:51:42.000 --> 00:51:46.000
The pressure on the coalition is less,
and if the San Francisco

00:51:46.000 --> 00:51:50.000
Declaration is heard, we are leaving
behind these

00:51:50.000 --> 00:51:53.240
hyper-quantitative evaluations, where
only

00:51:53.240 --> 00:51:56.240
the H-index and cubes and so on were
looked at.

00:51:56.280 --> 00:51:59.960
To think that it's not just about saying,
now it's not going to remove the lapse

00:51:59.960 --> 00:52:01.800
and the Q1.

00:52:01.840 --> 00:52:05.840
But we shouldn't just look at index one;
we have to look at other things, we

00:52:05.840 --> 00:52:09.840
have to look, we have to do peer reviews,
we have to evaluate qualitatively,

00:52:09.840 --> 00:52:13.840
we have to assess the transfer, we have
to assess the leadership, we have to

00:52:13.840 --> 00:52:17.560
assess the communication skills, the
impact that what I mentioned

00:52:17.560 --> 00:52:20.560
earlier about the advice has on these
fishing vessels.

00:52:20.560 --> 00:52:23.800
That doesn't get you a paper, but your
advice has a

00:52:23.800 --> 00:52:26.800
much greater impact on society than any
fact.

00:52:27.360 --> 00:52:30.440
Therefore, this also has to be taken into
account in the scientific evaluation.

00:52:30.480 --> 00:52:33.680
And of course, since the race is not
easy, it is essential that we take care

00:52:33.680 --> 00:52:35.320
of ourselves.

00:52:35.960 --> 00:52:40.840
Since we all have the H for R seal, we
know it.

00:52:40.880 --> 00:52:44.880
In other words, we can't afford to fall
by the wayside

00:52:44.880 --> 00:52:48.640
because we haven't taken care of
ourselves.

00:52:48.640 --> 00:52:49.960
It is very important.

00:52:49.960 --> 00:52:53.800
There is a lot of pressure, the science
of expression, competitiveness, but you

00:52:53.800 --> 00:52:55.760
have to find personal balance.

00:52:55.760 --> 00:52:59.440
That's what I'm saying, the hours are
endless, but you have to do it with

00:52:59.440 --> 00:53:01.320
sanity and because you like it.

00:53:01.360 --> 00:53:02.480
But we mustn't give up.

00:53:02.480 --> 00:53:06.120
In other words, you shouldn't neglect
your mental health because it's very

00:53:06.120 --> 00:53:09.120
easy, it's very easy for someone to end
up in a bad situation.

00:53:09.120 --> 00:53:10.160
So it's very important.

00:53:10.160 --> 00:53:13.360
We need brilliant people, but people who
take care of us.

00:53:13.920 --> 00:53:16.800
And then one thing that happens to us
scientists too is that we have to adapt

00:53:16.800 --> 00:53:18.280
to the world.

00:53:18.280 --> 00:53:21.040
An example is artificial intelligence.

00:53:21.040 --> 00:53:25.040
Some of us were caught older, and are
still caught older and off guard,

00:53:25.040 --> 00:53:28.520
because suddenly they will do everything
we used to do.

00:53:28.520 --> 00:53:31.080
Our lives can suddenly become intertwined
with artificial intelligence, and

00:53:31.080 --> 00:53:32.360
suddenly change shape.

00:53:32.360 --> 00:53:36.040
Well, this is also a part of our brain's
adaptation that we have to make, but it

00:53:36.040 --> 00:53:37.880
opens up many challenges.

00:53:38.080 --> 00:53:40.720
Artificial intelligence is not meant to
eliminate creativity; it simply means

00:53:40.720 --> 00:53:42.080
that

00:53:42.080 --> 00:53:45.200
there are things we can accelerate, and
we need to use artificial intelligence as

00:53:45.200 --> 00:53:46.800
an accelerator.

00:53:46.800 --> 00:53:50.000
There are no answers in the creation of
knowledge.

00:53:50.040 --> 00:53:52.920
For example, in Europe they have the RACE
program, which is a kind of virtual

00:53:52.920 --> 00:53:54.360
institute.

00:53:55.160 --> 00:53:59.160
For example, we have our own Artificial
Intelligence strategy, where

00:53:59.160 --> 00:54:03.440
what we want to do is use artificial
intelligence to accelerate knowledge.

00:54:03.440 --> 00:54:06.440
In other words, there are many
opportunities and new profiles

00:54:06.440 --> 00:54:09.440
and new skills are being generated that
we must not forget.

00:54:09.480 --> 00:54:13.480
And you who are young and prone to
youthful attacks, don't miss the train

00:54:13.480 --> 00:54:16.240
because it goes so fast that you've
missed four stops and you don't even

00:54:16.240 --> 00:54:17.640
realize it.

00:54:17.640 --> 00:54:21.640
So it's important that we all want
digital skills, artificial

00:54:21.640 --> 00:54:25.360
intelligence, because it's part of
knowledge creation.

00:54:25.600 --> 00:54:27.640
That was a bit motivational.

00:54:27.640 --> 00:54:30.280
I'm doing a bit badly because I like to
ramble, of course, but this is all very

00:54:30.280 --> 00:54:31.640
nice, all

00:54:31.640 --> 00:54:34.280
very theoretical and now I want to bring
it down to earth, I want to bring it down

00:54:34.280 --> 00:54:35.640
to earth,

00:54:35.640 --> 00:54:38.680
bring it a little closer to my own
ground, talk a little about my book.

00:54:39.120 --> 00:54:42.200
What do we at the CSIC do to contribute
to these scientific careers?

00:54:42.240 --> 00:54:43.120
What is the CSIC?

00:54:43.120 --> 00:54:46.960
Let's briefly explain what the CSIC is
and how we contribute to scientific

00:54:46.960 --> 00:54:48.880
careers.

00:54:49.600 --> 00:54:53.600
Yes, well, the CSIC is something that the
Ministry talks about, which

00:54:53.600 --> 00:54:57.600
is the sector, the Spanish system of
science, technology and innovation,

00:54:57.600 --> 00:55:01.240
and the CSIC is the fundamental pillar of
the Spanish system.

00:55:01.280 --> 00:55:01.840
What do we do?

00:55:01.840 --> 00:55:05.840
We do a bit of what we've said before:
research, innovation, transfer,

00:55:05.840 --> 00:55:10.000
advice, we look for talent, we do
outreach, we seek internationalization.

00:55:10.000 --> 00:55:12.720
In other words, like any institution
where we do science, the CSIC has to be

00:55:12.720 --> 00:55:14.120
this.

00:55:14.120 --> 00:55:17.720
That is indeed the largest research
organization in Spain, the third largest

00:55:17.720 --> 00:55:19.560
in Europe and in the sector worldwide.

00:55:19.560 --> 00:55:21.360
That's why I say it's the fundamental
pillar.

00:55:22.400 --> 00:55:25.880
We have a whole ecosystem of science that
makes us very powerful.

00:55:25.920 --> 00:55:29.720
We are, for example, members of the
European Scientific G6 group.

00:55:29.720 --> 00:55:30.480
These are them.

00:55:30.480 --> 00:55:33.480
Do you know that in the economic context
they talk about the G7, the G8?

00:55:33.520 --> 00:55:37.520
There is a G6 of science in Europe that
is made up of these centers which

00:55:37.520 --> 00:55:40.600
are our equivalents in the International
Congress.

00:55:40.640 --> 00:55:44.360
Three Germans, the law and the most
Planck is in

00:55:44.360 --> 00:55:47.360
France, the CNI in Italy and the CSIC in
us.

00:55:47.400 --> 00:55:51.400
In other words, this is a group like the
G7 and G8 groups, a

00:55:51.400 --> 00:55:55.240
pressure group where European science is
the DA

00:55:55.240 --> 00:55:58.240
(Democratic Action) for these
organizations.

00:55:58.240 --> 00:56:00.840
The CSIC has a very large territorial
impact.

00:56:00.840 --> 00:56:01.080
Because?

00:56:01.080 --> 00:56:03.640
Because we have research centers
throughout the territory.

00:56:03.640 --> 00:56:07.240
We have centers in all autonomous
communities, 121 research centers and

00:56:07.240 --> 00:56:09.080
three national centers.

00:56:09.080 --> 00:56:11.720
And as you can see there on the map, it
is true that in Madrid we have the

00:56:11.720 --> 00:56:13.080
majority,

00:56:13.080 --> 00:56:16.000
then Catalonia or Andalusia, but we have
a center in all the autonomous

00:56:16.000 --> 00:56:17.480
communities.

00:56:17.480 --> 00:56:21.480
We have a studio, an institute in Rome
specializing in delicate

00:56:21.480 --> 00:56:25.080
archaeology, a headquarters in Brussels,
and a base in Antarctica.

00:56:25.120 --> 00:56:27.920
So when I say we're all over the world,
it's because...

00:56:27.920 --> 00:56:29.240
Because we are.

00:56:30.400 --> 00:56:34.720
Those are the numbers for 2024, which is
the latest report we have published.

00:56:34.960 --> 00:56:38.640
We are already 17,400 people and I think
that by the end of the year we will be

00:56:38.640 --> 00:56:40.520
able to talk about around 20,000.

00:56:40.920 --> 00:56:44.920
Yes, it is in full growth and we
currently have almost

00:56:44.920 --> 00:56:48.080
7000 researchers, plus the technicians

00:56:48.080 --> 00:56:51.080
and the larger technical support staff.

00:56:51.080 --> 00:56:56.160
And then notice that since you have about
1800, now there will be 2100.

00:56:56.200 --> 00:56:58.960
You will investigate training and
management personnel.

00:56:58.960 --> 00:57:04.280
There you can see some of our figures
showing what the CSIC budget funding is.

00:57:04.280 --> 00:57:07.280
It's 1,200,000,000.

00:57:07.320 --> 00:57:10.320
Right now I think it will be around 1400.

00:57:10.320 --> 00:57:14.640
We have a good number of international
projects; we do about 15 per year.

00:57:14.640 --> 00:57:18.640
We are such a large institution that we
produce, we produce a

00:57:18.640 --> 00:57:22.640
lot, and one thing that makes us unique
is that we have large

00:57:22.640 --> 00:57:26.000
scientific infrastructures, from a base
in Antarctica

00:57:26.000 --> 00:57:29.000
that we manage, but which is open to
science.

00:57:29.000 --> 00:57:32.760
In other words, there is a polar program
through research projects where one can

00:57:32.760 --> 00:57:34.640
find time for Antarctica.

00:57:34.640 --> 00:57:38.640
We have scenic ships, a 1500 square meter
clean

00:57:38.640 --> 00:57:43.160
room in Barcelona, ​​and ocean
observation telescopes.

00:57:43.440 --> 00:57:46.320
We have a series of high-altitude
climbers, for example in Almería.

00:57:46.320 --> 00:57:50.320
In other words, we have a series of large
infrastructures that are not just for

00:57:50.320 --> 00:57:53.600
ourselves; these infrastructures are open
to the scientific community.

00:57:53.640 --> 00:57:56.640
We have a structural role there.

00:57:56.800 --> 00:58:00.800
At CSIC we are organized scientifically,
we have practically all

00:58:00.800 --> 00:58:04.800
scientific disciplines, we classify
ourselves into three areas that

00:58:04.800 --> 00:58:08.800
we call global, the area of ​​matter,
which is the area that includes

00:58:08.800 --> 00:58:13.160
chemistry, materials and then physics,
mathematics, robotics and computing.

00:58:13.200 --> 00:58:15.760
The society area, which as you can see is
the smallest area.

00:58:15.760 --> 00:58:19.760
Humanities and social sciences and our
largest area is the area

00:58:19.760 --> 00:58:23.760
of ​​life sciences and life sciences,
from biology and biomedicine,

00:58:23.760 --> 00:58:27.760
earth, environment, food science and all
the agricultural part,

00:58:27.760 --> 00:58:32.080
which is a bit what the CSIC came from, a
lot of the agri-food part.

00:58:32.080 --> 00:58:33.760
Here you can see the number of
institutes.

00:58:33.760 --> 00:58:37.760
The Life area is the largest, we have 64
and of life 42 in matter

00:58:37.760 --> 00:58:41.160
and 15 in society, which is the smallest
area.

00:58:41.440 --> 00:58:45.440
And at the CSIC we have been looking at
this aspect of multidisciplinarity,

00:58:45.440 --> 00:58:48.560
which I mentioned earlier as
interdisciplinarity, for some time now,

00:58:48.560 --> 00:58:50.160
and it is so important.

00:58:50.160 --> 00:58:53.560
How can we make our science more
holistic?

00:58:53.720 --> 00:58:56.920
I have said before that today science
requires synergistic teams of teams from

00:58:56.920 --> 00:58:58.560
different areas.

00:58:59.040 --> 00:59:00.080
What's happening to the CSIC?

00:59:00.080 --> 00:59:03.920
Perhaps we have institutes dedicated to
materials science.

00:59:03.960 --> 00:59:07.560
Three in Madrid, one in Seville, one in
Catalonia, and one in the Basque Country?

00:59:07.560 --> 00:59:10.280
Of course, that's why silos are often
created.

00:59:10.280 --> 00:59:14.280
One is doing his experiment, the other is
doing the same, but in the past

00:59:14.280 --> 00:59:18.000
that often didn't generate enough
interaction between them.

00:59:18.000 --> 00:59:18.800
So, what did we do?

00:59:18.800 --> 00:59:22.800
We create interdisciplinary thematic
platforms that aim to put

00:59:22.800 --> 00:59:26.800
multidisciplinary teams together to solve
common challenges, big

00:59:26.800 --> 00:59:30.720
challenges, with a large scientific,
social, and economic impact.

00:59:30.720 --> 00:59:32.200
For example, with global health.

00:59:32.200 --> 00:59:34.840
Health is a huge challenge. What? What?

00:59:34.840 --> 00:59:37.440
CSIC researchers work on global health.

00:59:37.440 --> 00:59:40.560
We put them to work together to generate
projects, to generate ideas.

00:59:40.680 --> 00:59:44.680
We have things like transformation,
energy transition, food

00:59:44.680 --> 00:59:48.680
allergies, quantum technologies, heritage
sciences, and what

00:59:48.680 --> 00:59:52.680
I always think we have to remember is
that here we have people who do

00:59:52.680 --> 00:59:56.640
research from their institutes, but who
collectively tackle these problems, which

00:59:56.640 --> 00:59:58.640
are complex.

00:59:58.680 --> 01:00:01.640
We also have our own internal networks,
what we call connections, the others on

01:00:01.640 --> 01:00:03.160
the platforms.

01:00:03.160 --> 01:00:07.160
These are connections, internal research
networks, not so much about

01:00:07.160 --> 01:00:11.160
thinking about solving a problem, but
about generating within the

01:00:11.160 --> 01:00:14.720
institution itself dynamics of
collaboration in archaeology, in cancer,

01:00:14.720 --> 01:00:16.520
in genomics, in nanomedicine.

01:00:16.560 --> 01:00:20.560
In other words, all of this is to try to
overcome that thing we have

01:00:20.560 --> 01:00:24.560
going for us, which is that we are in the
territory, but that often

01:00:24.560 --> 01:00:28.280
leads to a lack of collaboration, and we
also do a lot of consulting.

01:00:28.280 --> 01:00:32.160
For example, a unit was launched some
time ago that supports the National

01:00:32.160 --> 01:00:34.120
Office of Scientific Advice at UNAM.

01:00:34.120 --> 01:00:37.920
We have our own series called Science for
Public Policy.

01:00:38.680 --> 01:00:41.320
It's all open, that is, you can take the
one about plastics, because what we see

01:00:41.320 --> 01:00:42.680
is that research is

01:00:42.680 --> 01:00:45.560
being done on plastics and pollution,
which is being done by the CSIC (Spanish

01:00:45.560 --> 01:00:47.040
National Research Council).

01:00:47.040 --> 01:00:47.600
And?

01:00:47.600 --> 01:00:51.600
And what recommendations are there for
those who make

01:00:51.600 --> 01:00:55.920
political decisions so they can use
science again as evidence?

01:00:55.960 --> 01:00:59.960
We have things related to light pollution
that one might say is good, but it's a

01:00:59.960 --> 01:01:03.280
problem, because, for example, the
observation of space depends

01:01:03.280 --> 01:01:06.280
on light pollution, and that's where we
have our policy series.

01:01:06.440 --> 01:01:09.000
We also have a significant social impact;
we do a lot of transfer.

01:01:09.000 --> 01:01:13.000
Here are some figures showing how many
assets

01:01:13.000 --> 01:01:17.000
are protected, 40 and 41 million. In
terms of

01:01:17.000 --> 01:01:21.840
contracted financing, we create about ten
companies a year.

01:01:22.040 --> 01:01:27.000
We have good numbers and we have our own
startups, our own companies.

01:01:27.000 --> 01:01:31.720
Well, since March, for example, it's been
a skeleton.

01:01:31.760 --> 01:01:35.600
I think I missed it on El Hormiguero and
I don't want to skip

01:01:35.600 --> 01:01:38.600
the advice we're giving on emergencies.

01:01:38.800 --> 01:01:40.640
That's a new approach.

01:01:40.640 --> 01:01:43.280
We've been through the DANA storm, we've
been through the Grazalema floods, now

01:01:43.280 --> 01:01:44.640
we're dealing

01:01:44.640 --> 01:01:47.120
with the hantavirus, since the CSIC
always tries to collaborate with the

01:01:47.120 --> 01:01:48.360
administrations.

01:01:48.480 --> 01:01:52.480
Well, from a COVID test and vaccine that
we gave to the World

01:01:52.480 --> 01:01:56.480
Health Organization, the framework, the
masks, we created

01:01:56.480 --> 01:02:00.120
some masks in an institute in Valencia
that were used.

01:02:00.160 --> 01:02:03.920
We have our own entrepreneurship transfer
ecosystem that also

01:02:03.920 --> 01:02:06.920
makes us powerful, and this would be
almost the same.

01:02:06.920 --> 01:02:12.040
Finally, how can one join the CSIC at the
different stages?

01:02:12.400 --> 01:02:13.520
What are the programs?

01:02:13.520 --> 01:02:17.520
There are those I mentioned before, as I
said before, because

01:02:17.520 --> 01:02:21.520
from the external opportunities to join
CSIC, CSIC has, has,

01:02:21.520 --> 01:02:25.720
has FPU from the Ministry, it also has
FPI or PIB projects.

01:02:25.760 --> 01:02:30.360
For example, in the Ramón y Cajal
contract we are welcoming some.

01:02:30.400 --> 01:02:34.400
We arrived a few years ago, we reached
130, 140, we are welcoming 100

01:02:34.400 --> 01:02:38.120
Ramón y Cajal researchers a year at the
CSIC and we also welcome

01:02:38.120 --> 01:02:41.120
them with an extra funding package to
come with us.

01:02:41.280 --> 01:02:45.280
We have the JAE, which is the Board of
Studies, which is the origin of the

01:02:45.280 --> 01:02:49.280
CSIC, programs to attract people who are
doing a master's degree or who are

01:02:49.280 --> 01:02:52.400
in the final years of their undergraduate
studies so that they come to start

01:02:52.400 --> 01:02:53.960
research.

01:02:54.000 --> 01:02:56.440
Also everything related to RCS.

01:02:58.440 --> 01:03:02.880
We have a job bank system that allows us
to hire people under CSIC projects.

01:03:02.880 --> 01:03:06.760
We are constantly launching contracts and
continuously

01:03:06.760 --> 01:03:09.760
collaborating with this generation of
talent.

01:03:11.000 --> 01:03:13.960
The seal I mentioned earlier is that any
scientific organization today has to have

01:03:13.960 --> 01:03:15.440
that.

01:03:15.440 --> 01:03:17.320
This is something that is not mandatory.

01:03:17.320 --> 01:03:21.320
We have mobility programs for our
students, for example, you already

01:03:21.320 --> 01:03:25.160
know that some of your scholarships or
contracts have mobility incorporated when

01:03:25.160 --> 01:03:27.080
they do not have it.

01:03:27.080 --> 01:03:30.240
We give money so they can have a stay
abroad.

01:03:30.320 --> 01:03:34.200
We have Max's packages for talent
attraction.

01:03:34.200 --> 01:03:38.200
At Ramón y Cajal, we have a Momentum
program that has

01:03:38.200 --> 01:03:42.200
attracted 187 researchers, from pre-docs
to

01:03:42.200 --> 01:03:46.200
postdocs, who acquire advanced digital
skills,

01:03:46.200 --> 01:03:50.040
mentoring programs, and professional
development.

01:03:50.080 --> 01:03:52.800
Our Alumni Network, our program is about
our Camino Decir program. We do

01:03:52.800 --> 01:03:54.200
everything.

01:03:54.240 --> 01:03:57.040
Many of the things you'll see at this
university, we do here.

01:03:57.040 --> 01:04:01.440
At CSIC we are placing great importance
on the learning aspect.

01:04:01.440 --> 01:04:05.280
We are not a center, we are a research
implementing agency, but we are not a

01:04:05.280 --> 01:04:07.200
university center.

01:04:07.200 --> 01:04:09.840
However, we collaborate with the Menéndez
Pelayo International University, we have

01:04:09.840 --> 01:04:11.200
our

01:04:11.200 --> 01:04:14.160
own master's degrees, for example, the
Master in Quantum Technologies, a

01:04:14.160 --> 01:04:17.160
university master's degree with seven
other universities.

01:04:17.320 --> 01:04:20.880
We have a learning portal with a lot of
open content.

01:04:20.920 --> 01:04:22.520
You learn.

01:04:22.520 --> 01:04:23.600
Period. I'm inviting you.

01:04:23.600 --> 01:04:27.600
We have placed a great deal of emphasis
on training in artificial

01:04:27.600 --> 01:04:30.680
intelligence, and much of the content is
open source, which we simply compile from

01:04:30.680 --> 01:04:32.240
others.

01:04:32.240 --> 01:04:34.880
We have podcasts, we have a
micro-credentials program that we've

01:04:34.880 --> 01:04:36.240
launched,

01:04:36.240 --> 01:04:40.080
we have partnerships with everyone, with
Google, with Spanish Radio

01:04:40.080 --> 01:04:43.080
and Television, with Web services for
everything.

01:04:43.080 --> 01:04:46.560
And here we've included a lot of training
in artificial intelligence for our

01:04:46.560 --> 01:04:48.320
researchers and for everyone.

01:04:48.320 --> 01:04:50.480
For all staff.

01:04:50.480 --> 01:04:54.480
And to finish, in two minutes we'll be
back to the same thing:

01:04:54.480 --> 01:04:58.480
a scientific career is a journey, a long
journey, a varied

01:04:58.480 --> 01:05:02.400
journey, and a journey where the
ecosystem and where there are many paths,

01:05:02.400 --> 01:05:04.400
many options.

01:05:04.640 --> 01:05:08.640
It goes without saying that the
scientific career changes over time; it's

01:05:08.640 --> 01:05:12.480
not good to think that everyone has to
start in academia, ending up in academia

01:05:12.480 --> 01:05:14.400
is not that, it's not the end.

01:05:14.400 --> 01:05:17.640
What we need to do here is to produce the
best professionals,

01:05:17.640 --> 01:05:20.640
and this is the mission of all doctoral
schools.

01:05:20.640 --> 01:05:24.640
We have, we do, we defend about 900
theses a year and

01:05:24.640 --> 01:05:28.480
what we want is to train talent and what
is talent.

01:05:29.360 --> 01:05:33.360
We export and import, and the ecosystem
has to be so complex and so

01:05:33.360 --> 01:05:37.360
rich that it generates students who go to
universities, who go to

01:05:37.360 --> 01:05:41.360
other research centers, who go abroad,
some of whom can return to

01:05:41.360 --> 01:05:45.360
the system, others who stay, because the
idea is that there is an

01:05:45.360 --> 01:05:49.920
ecosystem where not everyone has to stay
in the place where they started.

01:05:49.920 --> 01:05:51.480
For science to be good.

01:05:52.760 --> 01:05:56.760
There are paths in academia, there are
paths in business, paths

01:05:56.760 --> 01:06:01.080
in management, knowledge transfer,
innovation and social impact.

01:06:01.080 --> 01:06:02.360
Science is done.

01:06:02.360 --> 01:06:06.360
As a highly theoretical scientist, I'm a
scientist of what I call "useless"

01:06:06.360 --> 01:06:10.360
science, but we must always remember that
science should be about improving

01:06:10.360 --> 01:06:14.360
people's lives, and the impact that
science ultimately achieves is very

01:06:14.360 --> 01:06:17.720
important, always respecting what I said
before: that there are

01:06:17.720 --> 01:06:20.720
people who do fundamental research and
people who make an impact.

01:06:20.720 --> 01:06:22.480
I think that's what's important.

01:06:22.480 --> 01:06:27.800
Each scientific path is different, but
all contribute to collective progress.

01:06:27.800 --> 01:06:30.440
Let me finish by saying that for those of
us who are a bit older, this is something

01:06:30.440 --> 01:06:31.800
we

01:06:31.800 --> 01:06:34.840
really like, at least I like it a lot,
which was Forges' cartoons.

01:06:35.000 --> 01:06:37.160
A little like what? How?

01:06:37.160 --> 01:06:40.160
The scientific career has to be diverse
for everyone.

01:06:40.160 --> 01:06:42.200
We belong to our fathers, to our mothers.

01:06:42.200 --> 01:06:44.080
We all have our past.

01:06:44.080 --> 01:06:48.080
Some of us come from Spain, others from
abroad, some from big

01:06:48.080 --> 01:06:51.880
cities, some from small towns, and we are
all diverse.

01:06:51.880 --> 01:06:55.880
And scientific quality is as varied as
each

01:06:55.880 --> 01:06:59.880
and every one of us. And each individual
step

01:06:59.880 --> 01:07:03.880
contributes to something much larger,

01:07:03.880 --> 01:07:08.560
which is how society advances by using
science.

01:07:08.560 --> 01:07:12.560
We need everything, we need diverse
talent

01:07:12.560 --> 01:07:16.560
for our future, because we have a lot of
very

01:07:16.560 --> 01:07:20.160
complex challenges that we face.

01:07:20.160 --> 01:07:24.160
From the moment you turn on the radio in
the morning, you can see that the

01:07:24.160 --> 01:07:28.000
challenges are extremely complex, and it
is through science that we, as a

01:07:28.000 --> 01:07:31.000
society and as humanity as a whole, will
be able to move forward.

01:07:31.040 --> 01:07:34.040
Thank you so much.

01:07:41.600 --> 01:07:44.800
To do well, there are many options.

01:07:44.840 --> 01:07:47.840
I mean, I think that when you're halfway
through finishing your thesis, you have

01:07:47.840 --> 01:07:49.360
to start thinking.

01:07:49.400 --> 01:07:52.560
You already know that in the postdoctoral
market one can directly search for

01:07:52.560 --> 01:07:54.160
postdocs.

01:07:54.160 --> 01:07:58.160
There are many abroad, I don't know which
one it is, what

01:07:58.160 --> 01:08:02.160
your area of ​​work is so you won't have
a problem there.

01:08:02.160 --> 01:08:05.440
There's a big market, but look, there are
many opportunities that you have to

01:08:05.440 --> 01:08:07.080
actively seek out.

01:08:07.080 --> 01:08:10.400
There are many universities, many centers
abroad

01:08:10.400 --> 01:08:13.400
that directly offer postdoctoral
positions.

01:08:13.400 --> 01:08:16.840
There are even projects that have an ERC
at

01:08:16.840 --> 01:08:19.840
any foreign center that will offer it.

01:08:19.920 --> 01:08:21.400
Are there also opportunities in Spain?

01:08:21.400 --> 01:08:25.400
It's a bit like what I was saying when
you don't finish your thesis, the

01:08:25.400 --> 01:08:29.320
Juan de la Cierva program is the same for
when you finish your thesis.

01:08:29.440 --> 01:08:33.440
Furthermore, they involve a certain
degree of mobility, from seeking

01:08:33.440 --> 01:08:36.680
financing in Spain to moving around
within Spain or seeking

01:08:36.680 --> 01:08:39.680
financing abroad and then returning in
the end.

01:08:39.960 --> 01:08:43.760
There is one, which we see a lot, because
we will ultimately be a movement of

01:08:43.760 --> 01:08:45.680
people.

01:08:45.680 --> 01:08:48.800
There are many, many options, but what
one has to

01:08:48.800 --> 01:08:51.800
do is become scientifically very
competitive.

01:08:51.800 --> 01:08:52.960
So we have to try to go.

01:08:52.960 --> 01:08:55.600
Perhaps the key is to do the best
research, because if you want to return

01:08:55.600 --> 01:08:56.960
or if you're left

01:08:56.960 --> 01:09:00.160
out, the better the scientific research,
the more options you'll have.

01:09:00.160 --> 01:09:01.720
Then the flows.

01:09:01.720 --> 01:09:04.360
And I, for example, at one time I was
there, I did my whole career at the

01:09:04.360 --> 01:09:05.720
Autonomous

01:09:05.720 --> 01:09:08.360
University of Madrid, I went to the
United States, I returned to the

01:09:08.360 --> 01:09:09.720
Autonomous

01:09:09.720 --> 01:09:12.960
University, then I got a Ramón y Cajal
award after returning to, for example.

01:09:12.960 --> 01:09:14.200
This is a very natural path, isn't it?

01:09:14.200 --> 01:09:16.640
People who go abroad become super
powerful.

01:09:16.640 --> 01:09:19.840
Then he gets a Ramón y Cajal, the Ramón y
Cajal is the contract for joining the

01:09:19.840 --> 01:09:21.440
sector.

01:09:21.440 --> 01:09:25.440
It is a five-year contract in which there
is a commitment from the

01:09:25.440 --> 01:09:29.440
institutions to create a permanent
position for that person, and we,

01:09:29.440 --> 01:09:33.440
for example, right now have selection
processes for the incorporation

01:09:33.440 --> 01:09:36.800
of scientists, there should be about 400
tenured scientists, which is like a

01:09:36.800 --> 01:09:38.480
university fact.

01:09:38.520 --> 01:09:42.840
Next year we expect to have 200 of us; we
are constantly advertising positions.

01:09:43.360 --> 01:09:47.280
Many of these positions are intended to
stabilize those.

01:09:47.280 --> 01:09:48.200
Ramón y Cajal.

01:09:48.200 --> 01:09:51.160
We, our commitment to the Ramón y Cajal
program, Vamos, are the first to have

01:09:51.160 --> 01:09:52.640
priority.

01:09:52.640 --> 01:09:53.640
We make a commitment.

01:09:53.640 --> 01:09:56.280
Then we are a public body, so we can't
just say you stay, there has to be a

01:09:56.280 --> 01:09:57.640
competition,

01:09:57.640 --> 01:10:00.280
but like in the competition, and we put
forward profiles to keep our Ramón y

01:10:00.280 --> 01:10:01.640
Cajal,

01:10:01.640 --> 01:10:05.240
so the good thing is to go abroad and
there are many dreams of going abroad, to

01:10:05.240 --> 01:10:07.040
make a very solid career.

01:10:07.040 --> 01:10:11.040
And then there are reintegration programs
ranging from postdoctoral contract

01:10:11.040 --> 01:10:14.760
offers to regional programs like having
to go to the Community of Madrid.

01:10:14.760 --> 01:10:17.640
In almost every community there are even
Ramón y Cajal programs.

01:10:17.640 --> 01:10:21.640
And once you're back in the system, you
end up either employed here

01:10:21.640 --> 01:10:25.000
or as a university professor or tenured
scientist.

01:10:25.480 --> 01:10:26.720
But there are plenty of opportunities.

01:10:26.720 --> 01:10:30.720
What you need to do is, above all, focus
on getting the best possible

01:10:30.720 --> 01:10:34.720
training and always try to aim for the
best possible place, because

01:10:34.720 --> 01:10:38.440
the contacts you make during your postdoc
will be the contacts

01:10:38.440 --> 01:10:41.440
and networks you have for the future.

01:10:41.440 --> 01:10:45.440
I, for example, started doing mathematics
here in Spain, in one area

01:10:45.440 --> 01:10:49.440
of ​​knowledge. I went on a postdoc,
where I learned other things,

01:10:49.440 --> 01:10:53.440
and I'm practically doing the things I
learned on the job. A lot of

01:10:53.440 --> 01:10:57.440
evolution has to do with where you are,
and maybe I'm here because of

01:10:57.440 --> 01:11:00.680
everything, not just what I did at the
Autonomous

01:11:00.680 --> 01:11:03.680
University, but also what I did abroad.
My joining the CSIC.

01:11:13.440 --> 01:11:16.680
Hello, good morning, thank you for the
presentation, very interesting.

01:11:16.720 --> 01:11:20.400
I wanted to ask a question regarding, for
example, the very well structured process

01:11:20.400 --> 01:11:22.240
of gathering R2 from R3.

01:11:22.240 --> 01:11:25.840
R4 I wanted to ask when that process
might not be

01:11:25.840 --> 01:11:28.840
in that order, and that's the case I'm
in.

01:11:28.840 --> 01:11:32.840
When you sometimes go on a PhD, you do
the PhD a little later because you have

01:11:32.840 --> 01:11:36.840
already started in previous research in
some way, because of your research

01:11:36.840 --> 01:11:40.600
master's degree, because you work on
interesting projects and you come from

01:11:40.600 --> 01:11:42.480
the private sector and you get into it.

01:11:42.480 --> 01:11:46.160
How is this reflected in university
research?

01:11:46.200 --> 01:11:48.440
When it is done and when it is finally
finished.

01:11:48.440 --> 01:11:52.080
And then what future does it have in
terms of opportunities, scholarships, and

01:11:52.080 --> 01:11:53.920
collaborations?

01:11:53.920 --> 01:11:57.920
For example, when you want to apply for
an FPI or an FPU grant, you

01:11:57.920 --> 01:12:01.920
can't because of your academic record;
you can't because you've

01:12:01.920 --> 01:12:05.360
been out of university for many years and
it's done differently, which has been my

01:12:05.360 --> 01:12:07.120
case.

01:12:07.280 --> 01:12:11.400
But there is an academic or research
record.

01:12:11.680 --> 01:12:15.840
What would you recommend as a process to
follow when starting a PhD?

01:12:15.920 --> 01:12:19.600
Well, no, maybe in that direct way, with
a degree, master's, doctorate, the

01:12:19.600 --> 01:12:21.480
trajectory changes a bit.

01:12:21.480 --> 01:12:24.840
What I was saying is that careers are so
varied and so rich that I'm not clear on

01:12:24.840 --> 01:12:26.560
many paths.

01:12:26.800 --> 01:12:30.520
One can be FPI, one can have been in the
company again, but the FPI does

01:12:30.520 --> 01:12:33.520
not require you to have had another
predoctoral program.

01:12:33.520 --> 01:12:35.400
So there are opportunities.

01:12:35.400 --> 01:12:39.400
Is it true that in the end this is all a
competitive process and maybe in

01:12:39.400 --> 01:12:43.400
terms of evaluations it's not always the
same, and I think that's what's

01:12:43.400 --> 01:12:47.400
changing a lot, because there are those
of us who have been around for a

01:12:47.400 --> 01:12:51.400
few years, we're more used to the
processes, academic standards, degree,

01:12:51.400 --> 01:12:55.400
master's or are there no longer degrees,
bachelor's, master's, doctorate

01:12:55.400 --> 01:12:59.000
and often these profiles of people who
come and go, right?

01:12:59.280 --> 01:13:03.280
Sometimes, with our own biases, when we
evaluate, we don't see them as

01:13:03.280 --> 01:13:06.600
such; we say that maybe they've been out
for a reason, but I think that's changing

01:13:06.600 --> 01:13:08.280
a lot.

01:13:08.280 --> 01:13:10.920
I think that right now it is highly
valued and there are many people who have

01:13:10.920 --> 01:13:12.280
left, companies have

01:13:12.280 --> 01:13:15.360
returned, and people who have done their
thesis, gone to companies and then

01:13:15.360 --> 01:13:18.360
talked about the world of research and
the opportunities are the same.

01:13:18.360 --> 01:13:21.200
All you need is a solid track record.

01:13:21.200 --> 01:13:24.080
What's important is a solid track record
and what you can offer.

01:13:24.080 --> 01:13:25.360
But it is happening.

01:13:25.360 --> 01:13:28.800
I do see people who come and go both
years, they come back and I don't see a

01:13:28.800 --> 01:13:30.520
problem.

01:13:30.520 --> 01:13:34.520
Perhaps it's not true that it's so
simple, because when you step outside the

01:13:34.520 --> 01:13:38.520
usual circuit, you don't always have this
kind of varied career. Also, but

01:13:38.520 --> 01:13:41.960
part of my presentation was about that,
that the system is changing

01:13:41.960 --> 01:13:44.960
in such a way that this is becoming more
and more natural.

01:13:44.960 --> 01:13:46.560
A few years ago it was unthinkable.

01:13:46.560 --> 01:13:49.200
I think that practically everyone who did
a thesis had finished their degree the

01:13:49.200 --> 01:13:50.560
previous

01:13:50.560 --> 01:13:53.200
year and now doesn't; now there are many,
many people who are going to do it,

01:13:53.200 --> 01:13:54.560
people, for

01:13:54.560 --> 01:13:56.880
example, who do their thesis, go to a
high school and then return to a

01:13:56.880 --> 01:13:58.040
university.

01:13:58.040 --> 01:14:00.640
These things are already happening and
are becoming more and more normal.

01:14:00.640 --> 01:14:02.280
Now

01:14:02.280 --> 01:14:04.680
He also spoke about the public system.

01:14:04.680 --> 01:14:07.680
We also have some private universities
quite close by.

01:14:08.000 --> 01:14:12.000
Right now, by the law itself they are
going to need doctors, they are going

01:14:12.000 --> 01:14:15.080
to remove doctors, which means he has an
added doctorate.

01:14:15.080 --> 01:14:16.040
And this is a reality.

01:14:16.040 --> 01:14:16.360
Because?

01:14:16.360 --> 01:14:19.080
Because the law requires it, and he also
had a doctorate number.

01:14:19.080 --> 01:14:22.200
Why is it not true that in Spain we are
not yet

01:14:22.200 --> 01:14:25.200
so used to having public universities?

01:14:25.200 --> 01:14:27.840
There are universities that do very good
research, for example in Navarra, but in

01:14:27.840 --> 01:14:29.200
the

01:14:29.200 --> 01:14:31.840
United States, where there are many
public and private universities and many

01:14:31.840 --> 01:14:33.200
of the

01:14:33.200 --> 01:14:36.280
best private universities, that's where
very good research is done.

01:14:36.280 --> 01:14:37.000
That too.

01:14:37.000 --> 01:14:39.880
And then there is also the exclusively
teaching path.

01:14:39.880 --> 01:14:42.200
I believe it is true that if you are not
a researcher you always have to be

01:14:42.200 --> 01:14:43.400
researched, but there are

01:14:43.400 --> 01:14:45.400
people who dedicate themselves to
teaching and I think that is also a

01:14:45.400 --> 01:14:46.400
possibility.

01:14:46.400 --> 01:14:50.400
I mean, I don't think things are changing
and maybe we're not

01:14:50.400 --> 01:14:54.640
seeing that change yet, but the whole
evaluation process is changing.

01:14:54.680 --> 01:14:57.920
They are giving more value to many of
those things than in the past.

01:14:57.960 --> 01:15:00.600
It is true that the grade in the file
still matters and will continue to

01:15:00.600 --> 01:15:01.960
matter, because

01:15:01.960 --> 01:15:05.240
it is also a filter and because you have
many applications that you have to

01:15:05.240 --> 01:15:06.880
evaluate in a very short time.

01:15:06.920 --> 01:15:10.920
So there are things like this, but I
think that profiles are becoming more

01:15:10.920 --> 01:15:14.400
and more enriched and these kinds of
things are being valued more

01:15:14.400 --> 01:15:17.400
and more, because the company is also
opening its mind.

01:15:17.440 --> 01:15:17.920
There's a lot.

