Fifth International Data for Policy Conference will take place virtually on September 15-17, 2020.

Fifth International Data for Policy Conference will take place virtually on September 15-17, 2020.
26/08/2020 – 08:44

The Data for Policy conference series is the premier global forum for multiple disciplinary and cross-sector discussions around the theories, applications and implications of data science innovation in governance and the public sector. In partnership with Cambridge University Press, the conference series has also entered into a new open-access peer-reviewed journal venture, Data & Policy, in order to capture and archive scholarly discussions in this fast-growing field.

All conference contributions will be considered for peer-reviewed publication in Data & Policy, a Data for Policy – Cambridge University Press collaboration supported by the Alan Turing Institute, Office for National Statistics and UCL. 

COVID-19 Update: 18 May 2020
Due to the coronavirus (COVID-19) pandemic, the International Conference Organisation Committee has decided to hold the Data for Policy 2020 meeting virtually 15-17 September replacing the physical meeting scheduled for 15-16 September 2020 in London. The committee has also decided to cancel pre-conference workshops for this year originally planned for 14 September 2020.  This decision was not taken lightly but we believe this is the correct decision

Sept 15 15:30

Special Track: Data technologies and governance frameworks used for gathering, storing, managing, processing, analyzing and sharing data in the public administrations
Chair: Francesco Mureddu, Lisbon Council
[50] “Establishing a data ecosystem to support the use of telecom data to inform COVID-19 response efforts”; Ayumi Arai, Apichon Witayangkurn, Hiroshi Kanasugi, Ryosuke Shibasaki and Satoshi Ueyama
[56] “How Data Governance Technologies Can Democratize Data Sharing for Community Well-being”; Daniel Wu, Stefaan Verhulst, Alex Pentland, Thiago Avila and Kelsey Finch
[115] “Disposable Yet Official Identities (DYOI) for Privacy-Preserving System Design – The case of COVID-19 digital document verification and credential-based access control in ad hoc outdoor and indoor settings (and beyond)”; Petros Kavassalis, Nikos Triantafyllou, Panagiotis Georgakopoulos, Antonis Stasis and Rob van Kranenburg
[126] “Data Exchange or Verifiable Claims? Different paradigms to address data sharing challenges and to implement modern data access”; Joao Rodrigues Frade

* This article was originally published here

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