at the time of Big Data we not just need new rules we also need a new kind of
new rules we also need a new kind of
new rules we also need a new kind of social responsibility data
social responsibility data
social responsibility data responsibility so what do I mean by data
responsibility so what do I mean by data
responsibility so what do I mean by data responsibility well let’s consider what
responsibility well let’s consider what
responsibility well let’s consider what happened in Nepal last year April 25th
happened in Nepal last year April 25th
happened in Nepal last year April 25th 2015
2015
2015 the polical hit by a devastating
the polical hit by a devastating
the polical hit by a devastating earthquake hundreds of villagers turned
earthquake hundreds of villagers turned
earthquake hundreds of villagers turned into dust
into dust
into dust thousands of people were made homeless
thousands of people were made homeless
thousands of people were made homeless at the Mount Everest huge avalanches
at the Mount Everest huge avalanches
at the Mount Everest huge avalanches killed at least 22 people making it the
killed at least 22 people making it the
killed at least 22 people making it the worst day on the mountain century all
worst day on the mountain century all
worst day on the mountain century all buildings collapsed devastated forever
buildings collapsed devastated forever
buildings collapsed devastated forever and the ultimate toll of what is called
and the ultimate toll of what is called
and the ultimate toll of what is called the Gorka earthquake meant that more
the Gorka earthquake meant that more
the Gorka earthquake meant that more than 9,000 people were killed and 22,000
than 9,000 people were killed and 22,000
than 9,000 people were killed and 22,000 people were injured yet despite the
people were injured yet despite the
people were injured yet despite the devastation and despite the calamity of
devastation and despite the calamity of
devastation and despite the calamity of the earthquake more damage more people
the earthquake more damage more people
the earthquake more damage more people could have been killed this is what
could have been killed this is what
could have been killed this is what happened in cell which is the largest
happened in cell which is the largest
happened in cell which is the largest telecom operator in Nepal decided to
telecom operator in Nepal decided to
telecom operator in Nepal decided to share its data with a non-profit based
share its data with a non-profit based
share its data with a non-profit based in Sweden flow minder flow minder took
in Sweden flow minder flow minder took
in Sweden flow minder flow minder took the data and turned it into an real-time
the data and turned it into an real-time
the data and turned it into an real-time interactive map that showed the inflow
interactive map that showed the inflow
interactive map that showed the inflow and outflow of populations across Nepal
and outflow of populations across Nepal
and outflow of populations across Nepal enabling governments and emergency
enabling governments and emergency
enabling governments and emergency agencies to better target their aid and
agencies to better target their aid and
agencies to better target their aid and relief to those who are in need and
relief to those who are in need and
relief to those who are in need and those who ultimately could have suffered
those who ultimately could have suffered
those who ultimately could have suffered from the earthquake this is an example
from the earthquake this is an example
from the earthquake this is an example of data responsibility where a private
of data responsibility where a private
of data responsibility where a private corporation felt a duty to share its own
corporation felt a duty to share its own
corporation felt a duty to share its own data in order to serve the
data in order to serve the
data in order to serve the interest we have unfortunately not that
interest we have unfortunately not that
interest we have unfortunately not that many examples of data responsibility
many examples of data responsibility
many examples of data responsibility where corporations are sharing their own
where corporations are sharing their own
where corporations are sharing their own data yet there are a few examples that I
data yet there are a few examples that I
data yet there are a few examples that I want to share today that show the
want to share today that show the
want to share today that show the potential impact of data responsibility
potential impact of data responsibility
potential impact of data responsibility with regard to improving people’s lives
with regard to improving people’s lives
with regard to improving people’s lives in Jakarta Indonesia Twitter decided to
in Jakarta Indonesia Twitter decided to
in Jakarta Indonesia Twitter decided to share its own data in order to map
share its own data in order to map
share its own data in order to map massive flooding as a result of the
massive flooding as a result of the
massive flooding as a result of the annual monsoon and this enabled a better
annual monsoon and this enabled a better
annual monsoon and this enabled a better and a more agile warning and response
and a more agile warning and response
and a more agile warning and response system similarly in Senegal a wash which
system similarly in Senegal a wash which
system similarly in Senegal a wash which is the French telecom operator active in
is the French telecom operator active in
is the French telecom operator active in the region decided to launch an
the region decided to launch an
the region decided to launch an Innovation Challenge which is called
Innovation Challenge which is called
Innovation Challenge which is called data for development ad the challenge of
data for development ad the challenge of
data for development ad the challenge of our shared it’s data with teams of
our shared it’s data with teams of
our shared it’s data with teams of researchers that could identify patterns
researchers that could identify patterns
researchers that could identify patterns and solutions to a range of development
and solutions to a range of development
and solutions to a range of development objectives ranging from healthcare
objectives ranging from healthcare
objectives ranging from healthcare agriculture energy to even building
agriculture energy to even building
agriculture energy to even building national statistics the winning team of
national statistics the winning team of
national statistics the winning team of data for development managed to use
data for development managed to use
data for development managed to use mobile data in order to identify energy
mobile data in order to identify energy
mobile data in order to identify energy needs across senegal enabling the
needs across senegal enabling the
needs across senegal enabling the country of Senegal for the first time to
country of Senegal for the first time to
country of Senegal for the first time to become smarter about how to build an
become smarter about how to build an
become smarter about how to build an energy infrastructure for the future
energy infrastructure for the future
energy infrastructure for the future here in the US uber has decided to share
here in the US uber has decided to share
here in the US uber has decided to share and donate its own data with the city of
and donate its own data with the city of
and donate its own data with the city of Boston allowing the city to see the
Boston allowing the city to see the
Boston allowing the city to see the movement and patterns of the Bostonians
movement and patterns of the Bostonians
movement and patterns of the Bostonians throughout the day this allows the city
throughout the day this allows the city
throughout the day this allows the city of Boston to improve its own urban
of Boston to improve its own urban
of Boston to improve its own urban planning and even improve public
planning and even improve public
planning and even improve public transportation so these are examples
transportation so these are examples
transportation so these are examples where corporations have decided to act
where corporations have decided to act
where corporations have decided to act upon a duty to share in order to improve
upon a duty to share in order to improve
upon a duty to share in order to improve people’s lives but we have to be
people’s lives but we have to be
people’s lives but we have to be realistic and some of you might already
realistic and some of you might already
realistic and some of you might already feel quite uncomfortable about
feel quite uncomfortable about
feel quite uncomfortable about corporations starting to sharing data
corporations starting to sharing data
corporations starting to sharing data because sharing data also implies
because sharing data also implies
because sharing data also implies certain
certain
certain risks so the first pillar the duty to
risks so the first pillar the duty to
risks so the first pillar the duty to share with regard to daily
share with regard to daily
share with regard to daily responsibilities needs to be
responsibilities needs to be
responsibilities needs to be complemented with the second pillar
complemented with the second pillar
complemented with the second pillar which is the duty to protect because
which is the duty to protect because
which is the duty to protect because without protecting the data in a
without protecting the data in a
without protecting the data in a responsible manner data can be more
responsible manner data can be more
responsible manner data can be more harmful than beneficial let me explain
harmful than beneficial let me explain
harmful than beneficial let me explain with another example in New York the
with another example in New York the
with another example in New York the Taxi and Limousine Commission collects
Taxi and Limousine Commission collects
Taxi and Limousine Commission collects from all taxi companies including uber
from all taxi companies including uber
from all taxi companies including uber and lyft data with regard to pick-up and
and lyft data with regard to pick-up and
and lyft data with regard to pick-up and drop-off times with regard to the cost
drop-off times with regard to the cost
drop-off times with regard to the cost of the rights and with regard to also
of the rights and with regard to also
of the rights and with regard to also what was the tip that the driver got or
what was the tip that the driver got or
what was the tip that the driver got or got at the end of the of the write in
got at the end of the of the write in
got at the end of the of the write in 2013 TLC was requested to open up its
2013 TLC was requested to open up its
2013 TLC was requested to open up its data and TLC subsequently complied and
data and TLC subsequently complied and
data and TLC subsequently complied and started sharing the data in what data
started sharing the data in what data
started sharing the data in what data was a responsible manner yet within
was a responsible manner yet within
was a responsible manner yet within weeks Civic hackers managed to combine
weeks Civic hackers managed to combine
weeks Civic hackers managed to combine the data from TLC with other data sets
the data from TLC with other data sets
the data from TLC with other data sets suddenly unleashing new insights that
suddenly unleashing new insights that
suddenly unleashing new insights that worried privacy advocates for instance
worried privacy advocates for instance
worried privacy advocates for instance they managed to identify how much each
they managed to identify how much each
they managed to identify how much each taxi driver earned on an annual basis
taxi driver earned on an annual basis
taxi driver earned on an annual basis they also managed to identify how
they also managed to identify how
they also managed to identify how celebrities are moving around in the
celebrities are moving around in the
celebrities are moving around in the city and even worse they also started to
city and even worse they also started to
city and even worse they also started to identify which gentleman ultimately
identify which gentleman ultimately
identify which gentleman ultimately frequented on a regular basis
frequented on a regular basis
frequented on a regular basis gentlemen’s clubs more worrying even was
gentlemen’s clubs more worrying even was
gentlemen’s clubs more worrying even was that they also managed to identify which
that they also managed to identify which
that they also managed to identify which taxi drivers were ultimately Muslim and
taxi drivers were ultimately Muslim and
taxi drivers were ultimately Muslim and which of them were practicing more than
which of them were practicing more than
which of them were practicing more than the others while this might upset New
the others while this might upset New
the others while this might upset New Yorkers while this might even embarrass
Yorkers while this might even embarrass
Yorkers while this might even embarrass a few of them imagine that this data set
a few of them imagine that this data set
a few of them imagine that this data set or a kind of data set was released in a
or a kind of data set was released in a
or a kind of data set was released in a context and in a country where there is
context and in a country where there is
context and in a country where there is ethnic conflicts or where there is no
ethnic conflicts or where there is no
ethnic conflicts or where there is no tolerance with regard to this kind of
tolerance with regard to this kind of
tolerance with regard to this kind of behavior this would not have meant just
behavior this would not have meant just
behavior this would not have meant just a privacy concern this could have meant
a privacy concern this could have meant
a privacy concern this could have meant the difference between death or Allah
the difference between death or Allah
the difference between death or Allah so for that reason we need especially if
so for that reason we need especially if
so for that reason we need especially if we apply data in different kinds of
we apply data in different kinds of
we apply data in different kinds of contexts we need a duty to protect but
contexts we need a duty to protect but
contexts we need a duty to protect but this duty to protect is not just about
this duty to protect is not just about
this duty to protect is not just about privacy at the point of sharing this is
privacy at the point of sharing this is
privacy at the point of sharing this is about mitigating risks across the data
about mitigating risks across the data
about mitigating risks across the data lifecycle from the collection stage to
lifecycle from the collection stage to
lifecycle from the collection stage to the processing stage to the sharing
the processing stage to the sharing
the processing stage to the sharing stage the analyzing and the using stage
stage the analyzing and the using stage
stage the analyzing and the using stage because as each stage there are risks
because as each stage there are risks
because as each stage there are risks involved and if you don’t deal with the
involved and if you don’t deal with the
involved and if you don’t deal with the risk at the time of the stage it might
risk at the time of the stage it might
risk at the time of the stage it might have a cascading effect for instance if
have a cascading effect for instance if
have a cascading effect for instance if you collect inaccurate data at the
you collect inaccurate data at the
you collect inaccurate data at the collection stage then ultimately your
collection stage then ultimately your
collection stage then ultimately your analysis will be far limit more limited
analysis will be far limit more limited
analysis will be far limit more limited than then it could be and it might even
than then it could be and it might even
than then it could be and it might even lead to harmful decisions and ultimately
lead to harmful decisions and ultimately
lead to harmful decisions and ultimately the use of data that might not be
the use of data that might not be
the use of data that might not be appropriate so we need a new data
appropriate so we need a new data
appropriate so we need a new data responsible framework for duty to
responsible framework for duty to
responsible framework for duty to protect in order to make sure that
protect in order to make sure that
protect in order to make sure that ultimately data is being used in the
ultimately data is being used in the
ultimately data is being used in the public interest now we have seen that
public interest now we have seen that
public interest now we have seen that data responsibility comprises of the
data responsibility comprises of the
data responsibility comprises of the first pillar a duty to share the second
first pillar a duty to share the second
first pillar a duty to share the second pillar a duty to protect but that’s even
pillar a duty to protect but that’s even
pillar a duty to protect but that’s even not enough in order to assure that data
not enough in order to assure that data
not enough in order to assure that data can be used to solve public problems we
can be used to solve public problems we
can be used to solve public problems we also need a duty to act because too
also need a duty to act because too
also need a duty to act because too often we have a variety of data projects
often we have a variety of data projects
often we have a variety of data projects where they unleash new insights that
where they unleash new insights that
where they unleash new insights that could be beneficial for society but we
could be beneficial for society but we
could be beneficial for society but we see that no one acts upon it so we need
see that no one acts upon it so we need
see that no one acts upon it so we need a responsiveness which is part of the
a responsiveness which is part of the
a responsiveness which is part of the data responsibility paradigm a
data responsibility paradigm a
data responsibility paradigm a responsiveness to actually act upon the
responsiveness to actually act upon the
responsiveness to actually act upon the data and the insights that are being
data and the insights that are being
data and the insights that are being generated for instance there is no
generated for instance there is no
generated for instance there is no shortage these days of portals and
shortage these days of portals and
shortage these days of portals and websites where they try to document
websites where they try to document
websites where they try to document corruption in society in Brazil there is
corruption in society in Brazil there is
corruption in society in Brazil there is a portal called the transparency portal
a portal called the transparency portal
a portal called the transparency portal that is developed by the government of
that is developed by the government of
that is developed by the government of Brazil to show and present fiscal
Brazil to show and present fiscal
Brazil to show and present fiscal transparency of all the federal public
transparency of all the federal public
transparency of all the federal public server
server
server in Brazil the portal has become the main
in Brazil the portal has become the main
in Brazil the portal has become the main tool for investigating corruption in
tool for investigating corruption in
tool for investigating corruption in Brazil and has already been constantly
Brazil and has already been constantly
Brazil and has already been constantly in the headlines as you all might know
in the headlines as you all might know
in the headlines as you all might know similarly in Mexico there is a portal
similarly in Mexico there is a portal
similarly in Mexico there is a portal that tries to show the performance of
that tries to show the performance of
that tries to show the performance of all the schools across Mexico enabling
all the schools across Mexico enabling
all the schools across Mexico enabling parents to make better decisions about
parents to make better decisions about
parents to make better decisions about the schooling of their kids but more
the schooling of their kids but more
the schooling of their kids but more importantly the portal is also being
importantly the portal is also being
importantly the portal is also being used to identify corruption in Mexico in
used to identify corruption in Mexico in
used to identify corruption in Mexico in the education sector and for instance
the education sector and for instance
the education sector and for instance thanks to the data that was released at
thanks to the data that was released at
thanks to the data that was released at the portal one could identify that more
the portal one could identify that more
the portal one could identify that more than 500 online education initiatives
than 500 online education initiatives
than 500 online education initiatives took place in areas where there was no
took place in areas where there was no
took place in areas where there was no electricity let alone internet access
electricity let alone internet access
electricity let alone internet access that more than 70 teachers earned more
that more than 70 teachers earned more
that more than 70 teachers earned more than the President of Mexico and that
than the President of Mexico and that
than the President of Mexico and that almost thousand five hundred teachers
almost thousand five hundred teachers
almost thousand five hundred teachers that were still on the payroll
that were still on the payroll
that were still on the payroll happened to be older than hundred years
happened to be older than hundred years
happened to be older than hundred years and that they all were born on 12 12 19
and that they all were born on 12 12 19
and that they all were born on 12 12 19 12 now has this made any difference
12 now has this made any difference
12 now has this made any difference have we seen less corruption as a result
have we seen less corruption as a result
have we seen less corruption as a result of more data what happens unfortunately
of more data what happens unfortunately
of more data what happens unfortunately is that the latest transparency
is that the latest transparency
is that the latest transparency international report clearly states that
international report clearly states that
international report clearly states that corruption remains a big headache for
corruption remains a big headache for
corruption remains a big headache for our society and that even in the case of
our society and that even in the case of
our society and that even in the case of Brazil corruption has deteriorated
Brazil corruption has deteriorated
Brazil corruption has deteriorated similarly in Mexico there is a clear
similarly in Mexico there is a clear
similarly in Mexico there is a clear understanding that transparency does not
understanding that transparency does not
understanding that transparency does not automatically lead to accountability the
automatically lead to accountability the
automatically lead to accountability the Langtry might be the opposite and so for
Langtry might be the opposite and so for
Langtry might be the opposite and so for that reason data responsibility needs to
that reason data responsibility needs to
that reason data responsibility needs to be based upon three pillars a duty to
be based upon three pillars a duty to
be based upon three pillars a duty to share a duty to protect but also a duty
share a duty to protect but also a duty
share a duty to protect but also a duty to act because you have to implement
to act because you have to implement
to act because you have to implement them at the same time because otherwise
them at the same time because otherwise
them at the same time because otherwise data might be a lost asset for society
data might be a lost asset for society
data might be a lost asset for society especially if you want to use data for
especially if you want to use data for
especially if you want to use data for the public good so the question is then
the public good so the question is then
the public good so the question is then how do we achieve data responsibility
how do we achieve data responsibility
how do we achieve data responsibility the current age of data well clearly
the current age of data well clearly
the current age of data well clearly shifting from shielding data to sharing
shifting from shielding data to sharing
shifting from shielding data to sharing data or shifting from traditional
data or shifting from traditional
data or shifting from traditional policymaking to actually data-driven
policymaking to actually data-driven
policymaking to actually data-driven policymaking will require a paradigm
policymaking will require a paradigm
policymaking will require a paradigm shift it will require a cultural shift
shift it will require a cultural shift
shift it will require a cultural shift and a multi-pronged approach which I
and a multi-pronged approach which I
and a multi-pronged approach which I won’t elaborate because we don’t have
won’t elaborate because we don’t have
won’t elaborate because we don’t have the time but there are two important
the time but there are two important
the time but there are two important steps that we can do in the short term
steps that we can do in the short term
steps that we can do in the short term that would make a difference
that would make a difference
that would make a difference first of all organizations can appoint
first of all organizations can appoint
first of all organizations can appoint within their organization a data steward
within their organization a data steward
within their organization a data steward that is not a data scientist it is a
that is not a data scientist it is a
that is not a data scientist it is a data steward who ultimately can help
data steward who ultimately can help
data steward who ultimately can help organisations make the change to its
organisations make the change to its
organisations make the change to its data responsibilities help them think
data responsibilities help them think
data responsibilities help them think about when is it appropriate and when is
about when is it appropriate and when is
about when is it appropriate and when is it necessary to start sharing your data
it necessary to start sharing your data
it necessary to start sharing your data because it could improve people’s lives
because it could improve people’s lives
because it could improve people’s lives and how would you do it and ultimately
and how would you do it and ultimately
and how would you do it and ultimately how do you follow up once you have
how do you follow up once you have
how do you follow up once you have generated certain insights as a result
generated certain insights as a result
generated certain insights as a result and the second element we can do today
and the second element we can do today
and the second element we can do today is really create a movement around data
is really create a movement around data
is really create a movement around data responsibility by demanding the
responsibility by demanding the
responsibility by demanding the organizations that we interact with on a
organizations that we interact with on a
organizations that we interact with on a daily basis whether they are public or
daily basis whether they are public or
daily basis whether they are public or private demanding data responsibilities
private demanding data responsibilities
private demanding data responsibilities so that ultimately the data that we have
so that ultimately the data that we have
so that ultimately the data that we have and that is being collected by all kinds
and that is being collected by all kinds
and that is being collected by all kinds of organizations becomes a force for
of organizations becomes a force for
of organizations becomes a force for good without public pressure we won’t
good without public pressure we won’t
good without public pressure we won’t see this ultimately shift that we want
see this ultimately shift that we want
see this ultimately shift that we want to have and so for all of you in the
to have and so for all of you in the
to have and so for all of you in the audience that are passionate about
audience that are passionate about
audience that are passionate about changing the world or improving society
changing the world or improving society
changing the world or improving society I suggest that you all either develop or
I suggest that you all either develop or
I suggest that you all either develop or demand this new kind of social
demand this new kind of social
demand this new kind of social responsibility which is data
responsibility which is data
responsibility which is data responsibility thank you very much
”
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