
- CFP Topics
- Committee Members
- Summary
CFP Topics
The conference committee invited contributions covering the following topics:
- Information and evidence in digital age
- Policy-making mechanisms and modelling approaches
- Existing methodologies, case studies, best practices for use of Big Data in policy
- Data collection, storage, processing and access procedures
- Cumulative learning in digital environments, potentials in policy context, challenges and limitations
- Interaction of domain expertise with digital processing technologies; dealing with imperfect/uncertain data; psychology/behaviour of decision
- Security and privacy issues; ethics and law
Committee Members
Andrew Gamble, University of Cambridge
Anil Bharath, Imperial College
Anne Alexander, University of Cambridge
Antony Walker, University of Cambridge
Bilal Gokpinar, University College London
Clare Dyer-Smith, Cambridge Big Data Strategic Research Initiative
David J Hand, Imperial College; UK Administrative Data Research Network
David Reiner, University of Cambridge
Deeph Chana, Imperial College
Eiko Yoneki, University of Cambridge
Emre Simsekler, University College London; London Innovation Society
Eric T Meyer, Oxford Internet Institute, University of Oxford
Glenn Watson, UK Office for National Statistics
Hetan Shah, UK Royal Statistical Society
Ian Walden, Queen Mary, University of London; Solicitor of the Senior Courts of England and Wales
James Wilsdon, Sussex University
Jasdeep Sandhu, University of Cambridge
Jean Bacon, University of Cambridge
Jeff Patmore, University of Cambridge
John Naughton, University of Cambridge
Jon Crowcroft, University of Cambridge
Kenneth Benoit, London School of Economics and Political Science
Mesut Tastan, Fellow, LSE; London Innovation Society
Moira Faul, University ofCambridge
Neil Lindsay, UK Defence Science and Technology Laboratory
Rob Doubleday, EUniversity of Cambridge
Simon Burall, Involve; ScienceWise Expert Resource Centre
Stian Westlake, Nesta
Suleyman Sirri Demirsoy, London Innovation Society
Zeynep Engin, dataforpolicy.uk; London Centre for Social Studies; University of Cambridge
Summaries from Report
15-17 June 2015, Cambridge
The inaugural conference of the community was launched with the theme “Policy-making in the Big Data Era: Opportunities and Challenges”. An open call for contributions was circulated inviting all discussions around i) what information and evidence would/should look like in the digital age; ii) existing and new mechanisms and methodologies to transfer cutting edge scientific knowledge to the policy domains; iii) issues of data collection, storage, processing and access; iv) cumulative learning in digital environments along with their potentials and challenges in policy context; and v) the interaction of domain expertise with digital processing technologies, also dealing with imperfect/uncertain data and the psychology and behaviour of decision. The conference was at the forefront of discussion of security and privacy issues, as well as the ethical and legal concerns in this space. The conference attracted 177 delegates from top UK universities, government departments and private and non-profit institutions and also attracted an international audience. A collection of papers from the conference was later published in a special issue of Policy & Internet (see publications).
Keynote Speakers
Natasa Milic-Frayling, Microsoft Research
Ross Anderson, University of Cambridge
Kenneth Benoit, London School of Economics and Political Science
David Hand, Imperial College
James Wilsdon, Science Policy Research Unit
Partners
Computer Laboratory, University of Cambridge
Centre for Science and Policy (CSaP), University of Cambridge
Data Science Institute (DSI), Imperial College London
Department of Methodology, London School of Economics and Political Science (LSE)
The Royal Statistical Society (RSS)
Sciencewise Programme funded by the Department for Business, Innovation & Skills (BIS)
Office for National Statistics (ONS)
London Innovation Society (LIS)
Cambridge Big Data, University of Cambridge
Digital Humanities Network, University of Cambridge