
- CFP Topics
- Committee Members
- Summary
CFP Topics
Topics invited include but are not limited to the following:
Data, Government and Policy: Digital era governance and democracy, data and politics, asymmetry of power, data- and evidence-driven public service delivery, algorithmic government and regulation, open-source and open-data movements, multinational companies and privatization of public services, sharing economy and peer-to-peer services, online communities, crowdsourcing, citizen science, public opinion, data literacy, policy laboratories, case studies and best practices.
Technologies: Artificial Intelligence, Big Data, blockchain distributed ledger and smart contract technologies, behavioural and predictive analytics, the Internet of Things, platforms, Global Positioning Systems (GPS), biometric identifiers, augmented and virtual reality, robotics, and other relevant technologies.
Systems & Infrastructure: Data collection, capture, storage, processing and visualisation technologies; platforms and web services, mobile applications, meta-data, standards and interoperability, databases and data warehousing, high performance computing, algorithms, programming, decision support systems, user-interaction technologies, and other relevant topics.
Data Processing & Knowledge Generation:Data representation and pre-processing, integration, real-time and historical data analysis, mathematical and statistical models, ‘data-driven’ analysis, human-in-the-loop (HITL); mixed methodologies, secondary data analysis, web mining; Randomised Controlled Trials (RCTs), gaps in theory and practice, other relevant topics.
Policy for Data & Management: Data governance and regulatory frameworks; General Data Protection Regulation (GDPR); data collection, storage, curation and access; data security, ownership, linkage; data provenance and expiration; private/public sector/non-profit collaboration and partnership; capacity-building and knowledge sharing within government; institutional forms and regulatory tools for data governance.
Privacy, Security, Ethics & Law: Ethical concerns around data, algorithms, and interactions (both human-machine and machine-machine interactions) and associated technology responses; legal status of digital systems; bias, transparency and accountability of digital systems; public rights, free speech, dialogue and trust.
Committee Members
International Organisation Committee:
Emanuele Baldacci – European Commission
Jon Crowcroft – University of Cambridge, Alan Turing Institute
Zeynep Engin – University College London
Innar Liiv – Tallinn University of Technology, Estonia
Stefaan Verhulst – New York University
Barbara Ubaldi – OECD, Paris
Special Track Chairs:
Anil Bharath – Imperial College London
Bilal Gokpinar – University College London
Catherine Mulligan – World Economic Forum, UN Digital Cooperation
Tom Smith– ONS Data Science Campus
Advisory Committee:
Niall Adams– Imperial College London
Leigh Anderson – University of Washington
Jean Bacon – University of Cambridge
Kenneth Benoit – London School of Economics and Political Science
Gabrielle Demange – Paris School of Economics
Anthony Finkelstein – UK Government Office for Science
Rayid Ghani – University of Chicago
David Hand – Winton Capital Management; Imperial College
Helen Margetts – University of Oxford; The Alan Turing Institute
Beth Noveck – New York University
Alan Penn – University College London
Rob Procter – University of Warwick; The Alan Turing Institute
Peter Smith – University of Southampton
Tom Smith – Office for National Statistics, UK
John Shawe-Taylor – University College London
John Taysom – Privitar
Philip Treleaven– University College London
Sir David Wallace – University of Cambridge
Dame Alison Wolf – King’s College London
Derek Wyatt – Royal Trinity Hospice; All Party Parliamentary Group on Data Analytics
Milan Vojnovic– London School of Economics and Political Science
Programme Committee:
Thomas Baar – University of Leiden
David Bounie – Telecom ParisTech
Daniel Castro – Centre for Data Innovation
Suleyman Demirsoy – Intel
Yves-Alexandre de Montjoye – Imperial College London
Seth Flaxman – Imperial College London
Jasmine Grimsley – Office for National Statistics, UK
Jose Manuel Magallanes – University of Washington; Pontificia Universidad Catolica del Peru
Scott Matthews – Carnegie Mellon University
Eric T. Meyer – The University of Texas at Austin, University of Oxford
Slava Mikhaylov – University of Essex
Suzy Moat – University of Warwick; The Alan Turing Institute
Mirco Musolesi – University College London; The Alan Turing Institute
Martijn Poel – Ministry of Education, Culture and Science, the Netherlands
Tobias Preis – University of Warwick; The Alan Turing Institute
Ralph Schroder – University of Oxford
Jatinder Singh – University of Cambridge
Akin Unver – Kadir Has University
Michael Veale – University College London
Diana Vlad-Calcic – European Commission
Andrew Young – New York University
Louisa Zanoun – UK Science and Innovation Network
UCL Local Committee:
Lauro Bovo – Innovation & Enterprise
Graca Carvalho – Strategic Alliances
Sarah Chaytor – Office of the UCL Vice-Provost (Research)
Louise Chisholm – E-research Domain
George Dibb – Industrial Strategy & Policy Engagement
Siobhan Morris – Global Challenges for Justice and Equality
Olivia Stevenson – UCL Public Policy
Summaries from Report
11 – 12 June, London
The 2019 conference was held at UCL, highlighting “Digital Trust and Personal Data” as its central theme, capturing growing worldwide concerns and interest in the topic following the EU’s introduction of the General Data Protection Regulation – GDPR (Engin, 2018) (Page, et al., 2019) (Calzada, et al., 2019) (Jay, et al., 2019) (Jacobs, et al., 2019) (Giorgia, 2019) (Sander, 2019) (Lopez, et al., 2019) (Carr, et al., 2019) (Stalla-Bourdillon, et al., 2019) (Thornton, et al., 2019) (Janssen, et al., 2019) (Mureddu, 2019). It brought up issues emerging from the automation of decision-making processes with direct impact on human lives (for example, recruitment, criminal sentencing, loans and insurance), as well from the mass surveillance, and manipulation of voter behaviour. The hype around Bitcoin at the time was a harbinger of the potential environmental cost of such highly advanced computational processes (de Vries, 2018). There was also a proactive effort to balance these concerns with the potential cost of not using,or the slow uptake of,data science technologies in the public sector. The Data for Policy 2019 conference also hosted the launch of a new peer-reviewed open-access publication venue – the Data & Policy journal published in collaboration with Cambridge University Press (CUP). The journal became the second major activity stream for the Data for Policy community, providing a dedicated platform to collect and store cutting-edge research and cross-sector thinking shaping the field, as well as facilitating new forms of engagement with different stakeholders involved in this community. The 2019 edition of the conference hosted 231 registered delegates overall.
Keynote Speakers
Margot James MP UK State Minister for Digital & the Creative Industries
Christoph Luetge, Technical University of Munich
Jon Crowcroft, University of Cambridge; Alan Turing Institute
Plenary Speakers
Christopher Holmes, UK House of Lords
Aaron Maniam, Government of Singapore
Laura Rodríguez Mendaro, Government of Uruguay
Junseok Hwang, Seoul National University
Diego Kuonen, University of Geneva
Julia Stoyanovich, New York University
Nicholas Wright, UCL; Georgetown University
Natasha McCarthy, The Royal Society, UK
Lee Rowley MP, All Party Parliamentary Group on Data Analytics, UK
Partners
University College London & GovTech Lab
Cambridge University Press
Office for National Statistics
University of Cambridge
New York University –The Government Laboratory (GovLab)
UK Science and Innovation Network
The Alan Turing Institute
Imperial College London
University of Oxford -Oxford Internet Institute
The London School of Economics and Political Science
European Commission
All Party Parliamentary Group on Data Analytics, UK Parliament
The Royal Statistical Society