This hour event where we quickly to.
So we're going to take just a few minutes on maybe
if there are questions from the audience For now,
I don't see any hands up.
But maybe
some people would like to intervene
Let's wait a few seconds.
Yes, I see one person.
Alex,
please If you could try to be brief
and then we'll have time to react.
I'm sorry. I just.
That is right.
Thank you to all the speakers.
It's raised so many different
issues and questions, so I've only got time for comment.
Maybe one.
And I just wondered
whether one or
several of the speakers could comment on the challenge
of responses to two different mental health surveys.
Different surveys.
And how do we get over that?
Potentially the perceived perceived fears of of data misuse.
And and so in terms of
when people are answering surveys, you know,
the potential feeling of intrusion into private lives and so on.
So something about how the data is collected
Emily, you sort of hinted at that in terms of
the way to certainly the Office for National Statistics works.
But I wonder, given the of global context
of this conference, whether some of the
maybe some of the other speakers might like to say a little bit about that
Okay.
Maybe while we're waiting to see if there's other questions.
One of the ones I had was that
you drew a very complex picture of what is happening of the implications
of the data revolution and how all of this is affecting your work.
So my question is,
if we have to transmit some very clear messages to students.
So, for example, in the future for somebody going into the sector
or who wants to work?
What would be the one scale or the one most important point
that they would have to, I don't know, think about or training themselves?
Because we saw that you have to be a statistician,
somebody who specializes in, who knows,
like in social sciences, but also sometimes
a lot of
technical skills that you need to know about.
So, yeah, how what could we say to students today
how to deal with all these new changes?
Let's see if there's other questions
for now. No.
So, yeah, maybe if if there's no questions, maybe you could
each react in two in a couple of minutes and
yeah. Thank you.
We can go in the same order.
Or maybe we can start from the end with Emily and go up.
Emily, would you like to react to what was just said
Sure.
I mean, on the question of household survey responses,
I mean, this is a big challenge all over the world.
And I think the approach that has taken
is to kind of start from ensuring that frameworks are as solid
as they can be to prevent any misuse of data,
to ensure that data is used in an ethical way to ensure that people's
data is protected and really put that at the heart of everything that we do
and raise awareness of that fact.
But it's a very personal so to your question.
I mean,
I think in terms of in terms of skills
that the people working in development need to have,
I think recognizing the importance of using data and recognizing
when there are opportunities to use innovation to improve the data
that's available,
but continually having in mind the kind of need to do that in a
in a systematic and supportive
way that's going to build the data ecosystem in that country.
Rather than kind of silos of separate innovation
and blooming many flowers, separate innovations.
I think just having having those those things in mind as you
as you carry on in your work are both really important.
Thank you very much, Emily.
Dr. Sun, a really
I hat as a Christian.
I mean, we like especially.
When you completely continue the
The Sopranos pharmacy complex having blown back Java.
What I
keep wondering is the do they keep some pocket?
They are they do need to clearly competence on their vacation
technique.
Long term this job search yet Killian and me Khuzami or
Zeta Jones Zeta-Jones be key and hip providers to sector of U.S.
dollar future.
Did the FDA let
you see
that defy the FDA association
this year would be step
back to the CBA.
The bad news program
maybe symbolizes the recession.
Well members may be ready
to use this opportunity to get excited brands.
It looks like we're seeing
the silly piece of the lower
left handed SOCOG and the Olympic Games because
presumably they would like to see
them see the positive so that they see that.
Is that that's
negated the issues.
If it was the necessity to see elements of the present
system ask them to
be accessible to those, then
at the concept you'd
just have to see an elevated step to see
this sell on at least a few customers
to see that
it is a social issue.
Then that
if it is about
most.
People who want the opportunity for Lizzie to jump,
let's move on.
Inigo, would you like to react to what was just said?
Yeah, just just a quick reaction.
And on both of the issues.
The first one raised by Mr.
Machado, I mean, when it comes to Oxfam and given that
that the research that that we do
often takes place in the global south in settings characterized
by poverty, by shrinking space
or limited rights, infrastructure,
fragility, insecurity,
or even I mean, we do this kind of research under the watch of
of of repressive government I mean, that's why we have developed.
That's why
we have developed different research guidelines
in order to put ethical research to set up these ethical research
principles and how to put this these principles into practice.
And that that refers to the anonymity
and the way we collect the data, how we design
a research that is ethical, how we conduct inside of different risk
analysis, and this is something that that we take a lot of consideration
when it comes to our approach in different settings.
And also, I mean, on your question, Tatiana, I mean,
I would like to raise this this issue and how I see my position here.
I need to transform data into knowledge.
So when it comes to what are the kind of skills that
that organizations like like they cause we need?
I mean, it's a very varied and different
set of skills because I mean, but first of all, we need to know we,
we need
to have the skill to understand what we are measuring,
what is the data that we have in our hands?
What are the limitations and what they are so in.
And that for this to happen, I mean, we need a center certain
the specific skills we are talking about like economic data.
I mean, we need people that get to know
what are the foundations of those concepts.
So if we if we are talking about a sociological data
and then we need people that gets to know
or the specifics of the data, what are the limitations are.
But then beyond that, I mean,
I mean at transforming data into into knowledge and information,
I mean at least, for example, that Oxfam, we have very good
activity people that they are able to to to basically condense
very complex things into an amazing graphic.
I mean, we we are aware that people do understand
more than one minute over in front of the computer watching the video.
So we need to be like we need we work with people that
they are really, really good at coming up with
what are the clear messages and things they that so I mean that
the variety of skills are I mean, we need people with different skills,
but with this idea of making sure that the data is used for
something in our cases for influencing for campaigning and advocacy.
Thank you.
All right.
Great.
Thank you very much, Rafael.
Hey, very quickly, also on a positive note
to students, I would say that they are the more and more needed
in development processes because as we have said,
there is a
bigger proximity.
And between those who are able in some media with the
data collection and data analysis and those who program
and implement programs and that, as the colleagues have said as well,
we are the less and less kids and we feel that there is
a less prominent disconnect
or in any case to prevent this disconnect.
And we understand better what such is demographic
to see when when they talk to us
about the phenomenon we we have the ambition to act on.
What I would also add is that very quickly on the
on the impact assessment, we will not will not go into the details.
It is just that we have
an enormous pressure on our shoulder to prove
that what we are doing in terms of development has an impact
and that the territories where we do not intervene on
or the areas where we do not intervene on, they experience
bigger problems rather than those where we intervene.
So we are in the more and more push towards new methodologies
like such countries actual impact assessment, evaluation
with enormous amounts of data to be collected in areas where
development actors intervene, in areas where you intervene.
So there is really an important window of opportunity
for those who study statistics and demography
to to really contribute to better define
these assessment tools, the this results and impact assessment
tools and talking about training to help us to learn
how to how to better use them
Great.
Thank you very much Rafael it and our last speaker
is Bill.
Very quickly on household surveys,
I mean I think the one thing is that
the a work that's being done on privacy
and confidentiality now is I mean, there's a lot of work going on.
It's really important finding the balance
between getting out useful data and respecting people is important
in terms of what how that affects the data.
I mean, we've got very
good examples in the work I'm doing in Malaysia at the moment,
which we were trying to pull together data on.
It is to indicate a 4.2.1, which is about violence against women
the brand new household survey with the right question asked.
The statistics
people are already saying
we will are not going to trust this data
because of the sensitivity of the question.
And I think that as Emily was talking about,
about how you triangulate data across various issues.
So what they're looking at is we're looking at the data
from the police
on incidents of violence, looking at data
from the Ministry of Women and Women's Refuges
and trying to match that up against what's coming out of the survey.
That triangulation of data and checking proxies against real data
I think is really important an issue of skills.
For me, it is an understanding and respect
for public administration and the civil service, if people have
that is
development needs public good public administration and good services.
And that's where data needs to set
All right.
Well, thank you.
If there is nobody answering yes, no more questions.
I would like to say a huge thank you for all of the speakers
in this session for these very interesting insights on
how they see their work, on how they view the role of data
and all these changes under going in the sector and
for the students
who are listening to us or who will be maybe watching this video later.
I think one of
the most important messages is, yes, there's a lot of changes going on.
And sometimes it's quite complex with more
and more different types of data, private and public actors.
But I think there's some really interesting messages
and I just want to point out two or three.
Well, first of all, to work on these issues
and to work with data, we need people with very different skills
so some that are more technical, some that are more statistical, but also
who have yet
we're also looking for anthropologists geographers, social scientists.
So there's really room for everybody.
And I think another important message is that yet
even if in the past to work with data or statistics,
you needed to have a mathematical expertize
to date, there's really a lot of tools out there and a lot of trainings
and a lot of possibilities to
work with data without having, yeah, a PhD in mathematics.
So you really shouldn't be scared but
yeah, just dove on in because there's lots of opportunities
and people who understand the data are
of how it's produced
know about the context in which it produced.
They really have something to bring to to the debate.
So thank you very much again for all the speakers.
We're running a little bit of late, but we're still going to have
a two minute pause before we start
the very exciting session with the keynote by Sabina Gianelli.
So just a two minute pause and then we'll start with the next session.
Thank you very much.