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Ethical and Societal Implications of Data Sciences

Deliverables

First Period Report on Community Events

D1.2 will describe the community events performed in the first monitored period. The deliverable will provide detailed overview of the first three community events including planning, attendance, topics covered, and conclusions drawn. The deliverable will be submitted in M18.

Recommendations and conclusions

D5.1 will provide recommendations on how to overcome common implementation barriers. The specific requirements of researchers, business leaders, policy makers and citizens will be taken into account. Apart from the recommendations, the key conclusions drawn from the 36-month dialogue will be summarised. The deliverable will be submitted in M33.

Second Period Report on Community Events

D1.3 will describe the community events performed in the second monitored period. The deliverable will provide a detailed overview of the final four community events including planning, attendance, topics covered, and conclusions drawn. The deliverable will be submitted in M36.

Dissemination plan

D6.1 will provide an overview of planned dissemination activities. The deliverable will be submitted in M3.

Ethical, legal, societal and economic issues

D2.2 will outline ethical, legal, societal and economic issues relevant in the context of big data technologies. The deliverable will be submitted in M8.

Assessment of existing technologies under development

D5.1 will describe the results of an assessment of privacy-preserving big data technologies under development. The deliverable will be submitted in M29.

Assessment of existing technologies

D3.2 will describe the results of an assessment of existing privacy-preserving big data technologies. The deliverable will be submitted in M16.

Dissemination report – period 1

D6.2 will describe dissemination activities in period 1 and provide an update of dissemination activities planned for period 2. The deliverable will be submitted in M18.

Results of the gap analyses

D4.1 will describe the results of the gap analyses focusing on ethical, legal, societal and economic aspects. The deliverable will be submitted in M21

Dissemination report – period 2

D6.3 will describe dissemination activities in period 2. The deliverable will be submitted in M36.

Community position paper

D5.3 will provide a community position paper. The deliverable will describe the community’s opinion on how big data technologies can be developed in a responsible way addressing ethical and societal issues to the greatest possible extent. The deliverable will be submitted in M33.

Overview of existing technologies

D3.1 will provide an overview of existing privacy-preserving big data technologies and their features. The deliverable will be submitted in M12.

Conduct societal and economic gap analyses

D4.2 will provide an overview of design requirements of existing privacy-preserving big data technologies. The deliverable will be submitted in M25.

Online platform

D1.1 will be the online platform used for engaging the important group of citizens

Refined research framework

D2.1 will present a detailed research framework. The focus will be on the key questions faced and the terminology used. The deliverable will be submitted in M4.

Publications

Profiling As Inferred Data. Amplifier Effects and Positive Feedback Loops

Author(s): Bart Custers
Published in: SSRN Electronic Journal, 2018, Page(s) 112-115, ISSN 1556-5068
DOI: 10.2139/ssrn.3466857

Methods of Data Research for Law

Author(s): Bart Custers
Published in: SSRN Electronic Journal, 2018, Page(s) 355-377, ISSN 1556-5068
DOI: 10.2139/ssrn.3411873

Reassessing values for emerging big data technologies: integrating design-based and application-based approaches

Author(s): Karolina La Fors, Bart Custers, Esther Keymolen
Published in: Ethics and Information Technology, Issue 21/3, 2019, Page(s) 209-226, ISSN 1388-1957
DOI: 10.1007/s10676-019-09503-4

Nepnieuws, filterbubbels en echokamers (Fake News, Filter Bubbels and Echo Chambers)

Author(s): Bart Custers
Published in: SSRN Electronic Journal, 2019, ISSN 1556-5068
DOI: 10.2139/ssrn.3338403

Privacywaakhond krijgt geld, nu nog tanden (Privacy Watchdog gets money, now it needs teeth)


Published in: ISSN 1388-0241

Data Mining and Profiling in Big Data

Author(s): Custers, B.
Published in: The SAGE Encyclopedia of Surveillance, Security, and Privacy, 2018, Page(s) 277-279

Policy for Data Policy Brief: Big Data in Europe for 2020 and beyond: Policy insights and recommendations from current H2020 big data projects. European Common Dissemination Booster on Big Data Technologies (BDVA) Policy Brief (report).

Author(s): Timan, T. et al.
Published in: 2019

The Role of Privacy-Preserving Technologies in the Age of Big Data

Author(s): Bachlechner, D., La Fors, K., Sears, A. M.
Published in: Proceedings of the 13th Pre-ICIS Workshop on Information Security and Privacy, WISP 2018 - December 13, 2018 - San Francisco, Issue 28, 2018