Data and Policy - Seminar - 20th January

Seminar and workshops on DATA AND POLICY, January 20th,

11:00- 12:00 CET Seminar Data and Policy

Speakers:

  • Eva Kaili MEP Group of the Progressive Alliance of Socialists and Democrats in the European Parliame @EvaKaili
  • Anja Bechmann Professor & Director @AUDATALAB
    @anjabechmann
  • Jaya Klara Brekke founding member of the Magma Collective, a planetary think-and-do tank, currently developing peer-to-peer cloud system, CoBox
    @jayapapaya
  • Irene Hernández, Founder & CEO at GATACA | Digital Identities | Blockchain researcher, Interop WG ESSIF @irenehdezg
  • First respondent: Primavera De Filippi
    Primavera De Filippi is a permanent researcher at the National Center of Scientific Research (CNRS) in Paris, a faculty associate at the Berkman Klein Center for Internet & Society at Harvard University, and a Visiting Fellow at the Robert Schuman Centre for Advanced Studies at the European University Institute. @yaoeo
  • Moderators: Mantalena Kaili (ELONTECH) and Gaëlle Le Gars (NGI Forward WP4)

14:00- 15:30 CET: Workshops (online):

Data and Methods. Kick off Alberto Cottica, edgeryders.eu.
Data and Policy. Kick off by Theo Veltman, City of Amsterdam.
Data portability. Kick off by Trace Labs (DAPSI ecosystem)

Details:

13:00 14:00 CET Workshop DATA/POLICY Data and Methods.
Kick off Alberto Cottica, edgeryders.eu.

15:00 16:00 CET Workshop DATA/POLICY Data and Policy
Kick off Rob van Kranenburg, moderation Gaëlle Le Gars

17:00 18:00 CET Workshop DATA/POLICY Data portability
Kick off by Trace Labs, moderation. Erik Mannens (IMEC)

Do register early as we have a limited seating in the (online) workshops.

https://app.livestorm.co/made-group/dialogues-on-data-and-policy-the-40-the-identity-and-the-privacy-issue

Executive Vice-President for A Europe Fit for the Digital Age, Margrethe Vestager, said: “You don’t have to share all data. But if you do and data is sensitive you should be able to do in a manner where data can be trusted and protected. We want to give business and citizens the tools to stay in control of data. And to build trust that data is handled in line with European values and fundamental rights.”

It is clear that there is an urgency for an alternative European model to data handling practice of major tech platforms, and pave the way for sectoral European data spaces to benefit society, citizens and companies.

We invite experts to give their recommendations for NGI. Two EU funded H2020 projects in this domain join this event NGI FORWARD and DAPSI. The expected outcome is to contribute to the next generation EU research funding, a better understanding and cohesive EU efforts to submit innovative ideas for open calls.

We need your input! And we will take it very seriously. Go here to contribute your ideas and questions: https://tell.edgeryders.eu/15164

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Putting them here for now.

The NGI Forward SSN has five ethnographic codes that contain the word “data”. They are:

Code number of occurrences
personal data 43
location data 8
open data 6
data protection 10
data storage 3

They all co-occur with personal data, which acts as the hub of the subgraph. Below we show the ego network of personal data, with the codes above shown in yellow.

An edge in this graph means that the two codes at the extreme of the edge occur together in the posts of at least two participants in the NGI Exchange forum. Edge color maps to the number of co-occurrences: redder color means higher number of co-occurrences. We call the number of co-occurrences k and interpret it as an indicator of the strength with which the two codes connected by the edge are associated. A higher k, represented by a redder edge, means that the association is stronger. The strongest connection of personal data is with contact tracing (k = 46), reflecting the intense debate on the COVID-19 contact tracing apps. Other high-k connections are with privacy, app, agency, user control and business model.

The other four codes, albeit much less connected in this graph, tend to connect to some of the codes also connected to personal data, for example location data to privacy and app and open data to user control.

But where are these codes in the structures of the conversation? The following image selects, for legibility, only the strongest associations (k >= 10). At this level of zoom out, only two codes, personal data and location data are still visible. personal data is itself one of the keystone codes of the entire NGI Exchange corpus. It sits close to the part of the network which is about change: technologies (artificial intelligence), legal and technical standards (open source), values (privacy, very central, but also agency and user control) and actions (imagining alternatives and imagining the future).

location data, via its strong connection with contact tracing, ends up in a part of the network centered on the Internet’s role in societal response to COVID-19. Codes like working remotely and uncertaintyshow up here.

The analysis of this corpus seems to suggest that data are central in the project of re-imagining the Internet, as well as the society it serves. They are also the focal point of societal tensions: the re-affirmation of values around personal data indicates that these values need to be re-affirmed, because they are under threat.

On the other hand, location data sits in a “cluster of despair”: it is not clear that data have enabled a surgical response to the main challenge of 2020, the COVID-19 pandemic. After all, the response of major governments has mostly been based on almost medieval remedies, like quarantines and curfews.

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What would you like to ask the speakers of this event?
If data is this all-powerful asset (“the new oil” and so on), why is it that, when we really needed data to inform the response to the COVID crisis, suddenly there was nothing there? One would think that, in the age of the big data, you could deploy a targeted response: people with different risk profiles would follow different recommendations. Instead, we are fighting COVID
with medieval tools like curfews and quarantines. Models that inform policy are super-crude, looking only at aggregates and averages. If they cannot help us in a situation like this, what are data really good for?

Tell us what you think is most important for data policy:
That strategic data pools are firmly kept as a common resource.

What would you like to ask the speakers of this event?
Data spaces governance and the related infrastructures for energy sector within smart sector integration context

Tell us what you think is most important for data policy:
Sovereignty; green enablement; access; valorization

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In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?
In my experience, especially with the ‘redtagging’ happening in my country (the Philippines), I think the most pressing issue in the current data ecosystem is how so much of our personal information falls into the wrong hands. One con of it is that dissidents to an oppressive administration are often doxxed and harrassed in person, often state-sanctioned.

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In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?
I think, one of the biggest problems is that websites still allow third party services to track their visitors across multiple websites. Many websites do display a consent request dialog on their first visit. However, in most cases these dialogs are designed such that it takes more clicks (and sometimes the websites even reload slowly) to disallow third party services than to agree to all services. Furthermore, the “agree to all” option is often highlighted visually, suggesting to be the default, while finding the other option is much less intuitive. Additionally, it seems many websites already load and execute some third party trackers without consent while the consent dialog is being shown.

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In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?
Data harmonization is a great challenge. Build a consensual standard is essential to achieve a data portability environment decentralized where all size companies have the opportunities to provide services.

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In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?
Imho: the lack of awareness about personal data solutions that would benefit people, solving one’s urgent needs & isues in a SEAMLESS way. We need secure ACCESS as-a-Habit

Like MyData.org’s, secure benefits for a user, from personal data profile leveraging: only 27 Operators there, most of their solutions / apps are not in ubiquitous use.

My (future) story.
See https://devpost.com/software/individualbooks for NGI Ledger dissemination.
We’re developing ‘Spotify for books’, IndiviDUAL Accessible HYBRID book-as-a-Service. HYBRID book: instant, affordable paper book with digital twins, FAIR data royalties.

PROBLEM: 50+% of books that we need are Long Tail: not available via libraries/shops.
SOLUTION: personal data to be leveraged via Personal Data Store, like at PODS of Solid

  • PODS would work SEAMLESSLY, in2taps of a library book’s ACCESS Button/cover image AR
  • then a person may access the needed book, adjusted to own issue, via MyData profile
  • i.e. solving the issues of a unique person / non-asked questions would be answered via ubiquity of books, delivered to the unique person in the unique format & content.

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Welcome, @chaymon, and thanks for this great point. I am Alberto, and also will be at the Data seminar next week.

I dream of a browser extension that I could tell “automatically deny all services on all pages”. I would even pay for it, though it feels like “protection money”. Are you aware that any exists?

Hi @alberto! I only know https://www.i-dont-care-about-cookies.eu/ but as the authors say, it does not always choose the most privacy-friendly options or simply hides the pop-ups visually. Actually, I think, establishing a standardized or programmatic interface to choose the desired settings would be a more robust and less cumbersome approach. There are some efforts in law science which go in that direction (I only know of the talks at https://www.forum-privatheit.de/programm-zur-jahreskonferenz-2020/, “Vortragsblock” 2, room A). And maybe at some point ePrivacy Regulation will improve the situation.

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In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?


In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?
The idea of ‘small pieces loosely joined’ hasn’t worked out. We can’t connect up our own ecosystems of distributed information, and even less to others’ ecosystems. The best we have done is the Twitter hashtag ‘folksonomy‘. Thus we are not able to leverage the knowledge of our colleagues, and the crowd.

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In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?
Lack of federation.
And the challenge of Data Discovery.

details on
www.farm2fork.market

In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?
People do not want to share. Ignoring the fact that if you cannot share (Divide) you cannot multiply as well.

example… windparks on sea… multiple vendors for the turbines. When trying to get a clear picture of possibility of cyber attacks on the installations we didn’t get the necessary info.

Reason: could contain competitive info on maintenance, stability etc.

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In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?


In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?


You may want to add the time of the workshop Data and Methods:

13:00 14:00 CET Workshop DATA/POLICY Data and Methods.
Kick off Alberto Cottica, edgeryders.eu.
https://bbb.tbm.tudelft.nl/b/rob-jvf-ik7-xvx

and

15:00 16:00 CET Workshop DATA/POLICY Data and Policy
Kick off Rob van Kranenburg, moderation Gaëlle Le Gars

17:00 18:00 CET Workshop DATA/POLICY Data portability
Kick off by Trace Labs, moderation. Erik Mannens (IMEC)

1 Like

done

In your experience, what’s the most important issue with the current data ecosystem? Do you have a story/example to illustrate your point?