This document summarizes a session discussing how to build the next privacy and security research agenda for big data. The session included an introduction, a discussion of the e-SIDES community position paper and process for providing input, a mentimeter voting activity, and a panel on ensuring responsible research and innovation responds to real needs. The panel featured representatives from universities and research organizations discussing issues like integrating privacy from the start, understanding cultural and regional differences, and ensuring research aligns with societal values and needs. The position paper and future research agenda aim to provide recommendations for an ethically sound approach to big data.

1. ICT 2018e-Sides Ethical and Societal Implications of Data Sciences
Building the Privacy and Security
Research Agenda for Big Data
ICT 2018 Networking Session
December 5 2018, 16.30-17.15
@eSIDES_EU
#privacyinbigdata

2. Session Agenda
16.30 – Welcome and Introduction
Richard Stevens IDC
16.35 – Building the next Privacy and Security Research Agenda: how to contribute to
the upcoming e-SIDES Community Paper
Daniel Bachlechner FRAUNHOFER, Alan Sears eLAW, Richard Stevens IDC
16.45 – Mentimeter voting
Stefania Aguzzi IDC
16.50 - Panel session: What’s important to make sure that RRI responds to real needs?
Natalie Bertels - Research Unit KU Leuven Centre for IT & IP Law KU Leuven
Tjerk Timan – Policy Analyst TNO
Anna Zsófia Horváth - Department of Corporate Law, Civil Law – Internet Law, Copyright
and Telecommuncation Law University of Goettingen
Dr Vlado Stankovski - Distributed and Cloud Computing University of Ljubljana
17.15 - End of session
Richard Stevens IDC

3. Project overview
3ICT 2018 – Vienna, 5 December 2018
1) Identify ethical and societal issues
2) Identify existing technologies
3) Assess existing technologies
4) Conduct gap analysis
5) Identify design requirements
6) Assess solutions under development
7) Identify implementation barriers
8) Make recommendations
What?
 Liaise with researchers, business
leaders, policy makers and civil
society through community events
 Provide an Internet-based meeting
place for discussion, learning and
networking
 Provide an agreed-upon and
collective community position paper
with recommendations
How?
Why?
 Reach a common vision for an ethically sound approach to big data and
facilitate responsible research and innovation in the field
 Improve the dialogue between stakeholders and the confidence of
citizens towards big data technologies and data markets

4. Community Position
Paper
• Objectives
• Topics addressed
• Timing
• Creation process
• Contribution of the community
ICT 2018 – Vienna, 5 December 2018

5. Major issues
5ICT 2018 – Vienna, 5 December 2018
 Review of articles (e.g.,
scientific and practitioner
literature)
 Expert knowledge was
incorporated from both
internal and external sources
 Two workshops were organized
to obtain additional info,
validate preliminary results
Overview of ethical, legal, societal, and
economic values implicated in the use of
big data
 Identification of issues across these domains
 Description of the issues and values
 Mapping of issues and values across domains

6. Major issues
6ICT 2018 – Vienna, 5 December 2018

7. Assessing existing technologies
7ICT 2018 – Vienna, 5 December 2018
 Review of more than 200
articles (e.g., academic
papers, white papers,
reports)
 Investigation of related
projects (mainly ICT-14, ICT-15
and ICT-18) through interviews
and website analyses
Overview of existing privacy-preserving
technologies that may be used in the big
data context
 Classification of the relevant technologies
 Description of the classes and technologies
 Insight into the relevance of the classes

8. Assessing existing technologies
8ICT 2018 – Vienna, 5 December 2018
Anonymisation
Encryption
Deletion
Sanitisation
Multi-party comput.
Access control
Policy enforcement
Accountability
Transparency
Data provenance
Access & portability
User control

9. Technology assessment
9ICT 2018 – Vienna, 5 December 2018
 Interviews (30-45 minutes)
with renowned experts from
research, industry and data
protection authorities
 Review of articles discussing
the relevance of the
technologies to address ethical
and societal issues
Understanding of the technologies in
terms of effectiveness, challenges,
perception and use
 Specific assessments of selected technologies
 Assessment of the technologies in general

10. Technology assessment
10ICT 2018 – Vienna, 5 December 2018
Specific assessments General assessment
 Technologies are integrated very little into
today’s big data solutions
 There is low demand from the customer
side for technologies to protect privacy
 Regional differences have to be considered
 The combination of technical and non-
technical measures is essential
 The question of responsibility is not
always easy to answer in practice
 The set of classes of technologies is
comprehensive
 The classes of technologies need to be
combined to be effective
 The technologies pursue different aims
 A multidimensional measure for privacy
preservation is needed
 There is a fundamental tension between
the objectives of big data and privacy
Technology
assessment

11. Gap analysis
11ICT 2018 – Vienna, 5 December 2018
 Review of articles (e.g.,
academic papers, white
papers, reports, news)
Analysis of gaps in the implementation of
existing privacy-preserving technologies
that may be used in the big data context
 Legal and ethical reasons
 Societal and economic reasons

12. Gap analysis
12European Big Data Value Forum – Vienna, 13 November 2018
 Privacy-by-design
 Sensitive data
 Inferred data
 Liability and ethical responsibility
o Data breaches
o Competition law
o Regional differences
Legal/ethical aspects
 Costs and benefits
 Business models
 Public attention
 Economic value
 Cultural fit
 Skill level
Societal/economic aspects
Aspects related to
hurdles and aids

13. What’s next?
13ICT 2018 – Vienna, 5 December 2018
1) Identify ethical and societal issues
2) Identify existing technologies
3) Assess existing technologies
4) Conduct gap analysis
5) Identify design requirements
6) Assess solutions under development
7) Identify implementation barriers
8) Make recommendations
What?
 Liaise with researchers, business
leaders, policy makers and civil
society through community events
 Provide an Internet-based meeting
place for discussion, learning and
networking
 Provide an agreed-upon and
collective community position paper
with recommendations
How?
Why?
 Reach a common vision for an ethically sound approach to big data and
facilitate responsible research and innovation in the field
 Improve the dialogue between stakeholders and the confidence of
citizens towards big data technologies and data markets

14. Research agenda
14ICT 2018 – Vienna, 5 December 2018
Relevance of the community position paper for the future research
agenda
Building the next Research Agenda
Connect to our
e-SIDES platform
Engage with the
Big Data and
Data Science
Community
Contribute to our
RRI
recommendations
Help influence
European
Commission
priorities
Guide the
development of
the next
Framework
Programme
Know the topics
of the Work
Programme in
advance

15. We want your input!

16. Panel Session
What’s important to make sure that RRI responds to real needs?
Natalie Bertels - Research Unit KU Leuven Centre for IT & IP Law KU Leuven
Tjerk Timan – Policy Analyst TNO
Anna Zsófia Horváth - Department of Corporate Law, Civil Law University of
Goettingen
Dr Vlado Stankovski - Distributed and Cloud Computing University of Ljubljana

17. Natalie Bertels - Research Unit KU Leuven
Centre for IT & IP Law KU Leuven
e-Sides Ethical and Societal Implications of Data Sciences 17

18. e-Sides Ethical and Societal Implications of Data Sciences 18
Tjerk Timan –TNO

19. e-Sides Ethical and Societal Implications of Data Sciences 19

20. e-Sides Ethical and Societal Implications of Data Sciences 20

21. e-Sides Ethical and Societal Implications of Data Sciences 21

22. e-Sides Ethical and Societal Implications of Data Sciences 22

23. e-Sides Ethical and Societal Implications of Data Sciences 23
Vlado Stankovski - University of Ljubljana

24. e-Sides Ethical and Societal Implications of Data Sciences 24

25. Thank you!
@eSIDES_EU
#privacyinbigdata
eSIDES_EU
info@esides.eu