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CORDIS - Risultati della ricerca dell’UE
CORDIS

Ethical and Societal Implications of Data Sciences

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

First Period Report on Community Events (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Ethical, legal, societal and economic issues (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Community position paper (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Refined research framework (si apre in una nuova finestra)

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.

Pubblicazioni

Profiling As Inferred Data. Amplifier Effects and Positive Feedback Loops (si apre in una nuova finestra)

Autori: Bart Custers
Pubblicato in: SSRN Electronic Journal, 2018, Pagina/e 112-115, ISSN 1556-5068
Editore: Amsterdam University Press
DOI: 10.2139/ssrn.3466857

Methods of Data Research for Law (si apre in una nuova finestra)

Autori: Bart Custers
Pubblicato in: SSRN Electronic Journal, 2018, Pagina/e 355-377, ISSN 1556-5068
Editore: Research Handbook in Data Science and Law Cheltenham: Edward Elgar
DOI: 10.2139/ssrn.3411873

Reassessing values for emerging big data technologies: integrating design-based and application-based approaches (si apre in una nuova finestra)

Autori: Karolina La Fors, Bart Custers, Esther Keymolen
Pubblicato in: Ethics and Information Technology, Numero 21/3, 2019, Pagina/e 209-226, ISSN 1388-1957
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10676-019-09503-4

Nepnieuws, filterbubbels en echokamers (Fake News, Filter Bubbels and Echo Chambers) (si apre in una nuova finestra)

Autori: Bart Custers
Pubblicato in: SSRN Electronic Journal, 2019, ISSN 1556-5068
Editore: Meijers Instituut
DOI: 10.2139/ssrn.3338403

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

Autori: Custers, B.H.M.
Pubblicato in: Privacy & Informatie, Numero 4/22, 2019, Pagina/e 152, ISSN 1388-0241
Editore: Uitgeverij Paris

Data Mining and Profiling in Big Data

Autori: Custers, B.
Pubblicato in: The SAGE Encyclopedia of Surveillance, Security, and Privacy, 2018, Pagina/e 277-279
Editore: SAGE Publications, Inc.

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).

Autori: Timan, T. et al.
Pubblicato in: 2019
Editore: BDVA

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

Autori: Bachlechner, D., La Fors, K., Sears, A. M.
Pubblicato in: Proceedings of the 13th Pre-ICIS Workshop on Information Security and Privacy, WISP 2018 - December 13, 2018 - San Francisco, Numero 28, 2018
Editore: Association for Information Systems

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