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Learning and Sharing under Privacy constraints (DataLEASH)

About the project
DataLEASH will develop and test methods for more open data. In practice, it will consist of risk analysis for privacy protection (key indicators, methodology, legal requirements) and privacy configured learning systems (mechanisms, considerations of integrity and user value). It will support public organizations who are required to have open data and therefore need managing methods that are fast, reliable and uncomplicated. Based on these methods they are able to make well-informed decisions on how and if data should be shared (limiting access and various security settings) and choose what form of data conversion that should be aligned with a certain level of privacy and use.


Background

Privacy and managing sensitive data is a major challenge and growing with the increasing collections of data and advanced systems based on machine learning for public services. Legal restrictions e.g GDPR has improved privacy for managing personal data but there are still no guidelines for how to restrict data leakage and this has implications for how data can be shared and used.

Cross-disciplinary collaboration
DataLEASH brings together researchers from the School of Electrical Engineering and Computer Science (EECS, KTH), from the Department of Law at Stockholm University and from the Decisions, Network, and Analytics lab at RISE.

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Contacts

Photo of Sonja Buchegger

Sonja Buchegger

Professor, Division of Theoretical and Computer Science at KTH, Strategic Research Committee, Chair Working group Trust at Digital Futures, PI of research project Learning and Sharing under Privacy constraints (DataLEASH) at Digital Futures

+46 8 790 62 89
buc@kth.se

Uno Fors

Professor, Department of Computer and Systems Science at Stockholm University, Associate Director, Diversity and Inclusion at Digital Futures, Member of the Executive Committee, Co-PI of research project Learning and Sharing under Privacy constraints (DataLEASH) at Digital Futures

+46 8 674 74 79
uno@dsv.su.se
Picture of Cecilia Magnusson Sjöberg

Cecilia Magnusson Sjöberg

Professor, LL.D., Department of Law at Stockholm University, Strategic Research Committee, Co-PI of research project Learning and Sharing under Privacy constraints (DataLEASH) at Digital Futures

+46 8 162 893
Cecilia.MagnussonSjoberg@juridicum.su.se

Tobias Oechtering

Professor, Division of Information Science and Engineering, Director Digitalisation Platform at KTH, Member of the Governing Board at Digital Futures, Working group Trust, Co-PI of research project Learning and Sharing under Privacy constraints (DataLEASH) at Digital Futures

+46 8 790 84 62
oech@kth.se

Douglas Wikström

Associate Professor, Division of Theoretical Computer Science at KTH, Co-PI of research project Learning and Sharing under Privacy constraints (DataLEASH) at Digital Futures

+46 8 790 81 38
dog@kth.se