CFP Topics

Standard Tracks

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.

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.

Special Tracks

‘For good measure’: The challenges of quantifying complex problems for policymaking

Data Governance for Innovation for Sustainable Smart Cities: Opportunities and Challenges

Data Governance in the Public Interest

Data Quality and Development Policy

Data technologies and governance frameworks used for gathering, storing, managing, processing, analyzing and sharing data in the public administrations

Documenting Data and Data Science: Surfacing Data Processes and Practices

Harnessing Data and Science to Achieve the Sustainable Development Goals

Re-using data to address COVID-19 and Pandemics

Committee Members

International Organisation Committee
Leigh Anderson – University of Washington
Emanuele Baldacci – European Commission
Jon Crowcroft – University of Cambridge, Alan Turing Institute
Zeynep Engin – University College London
Innar Liiv – Tallinn University of Technology, Estonia
Christoph Luetge – Institute of Ethics and AI, ITM, Munchen
H. Scott Matthews – Carnegie Mellon University
Barbara Ubaldi – OECD, Paris
StefaanVerhulst – New York University

Special Track Chairs:
Leigh Anderson – University of Washington
Jenny Bunn – UCL Information Studies
Sarah Giest – Leiden University
Bilal Gokpinar – UCL School of Management
Daniele Guariso – University of Sussex and The Alan Turing Institute
Omar Guerrero – The Alan Turing Institute and UCL
Elizabeth Lomas – UCL Information Studies
Francesco Mureddu – Lisbon Council
Alison Powell – LSE and the Ada Lovelace Institute
Lorena Rivero del Paso – Global Initiative for Fiscal Transparency
Barbara Ubaldi – OECD, Paris
Stefaan Verhulst – The GovLab, NYU
Benjamin Welby – OECD, France
Masaru Yarime – Hong Kong University of Science and Technology, Hong Kong; UCL STEaPP, UK; and The University of Tokyo, Japan
Steve Yoo – UCL School of Management

Advisory Committee:
Jean Bacon – University of Cambridge
Kenneth Benoit – London School of Economics and Political Science
Anil Bharath – Imperial College London
Gabrielle Demange – Paris School of Economics
Anthony Finkelstein – UK Government Office for Science
Rayid Ghani – Carnegie Mellon University
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
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:
David Bounie – Telecom ParisTech
Daniel Castro – Centre for Data Innovation
Suleyman Demirsoy – Intel
Jasmine Grimsley – Office for National Statistics, UK
Jose Manuel Magallanes – University of Washington; Pontificia Universidad Catolica del Peru
Eric T. Meyer – The University of Texas at Austin, University of Oxford
Slava Mikhaylov – Hertie School of Governance, Berlin
Suzy Moat – University of Warwick; The Alan Turing Institute
Mirco Musolesi – University College London; The Alan Turing Institute
Florian Ostmann – The Alan Turing Institute
Martijn Poel – Ministry of Education, Culture and Science, the Netherlands
Tobias Preis – University of Warwick; The Alan Turing Institute
Harald Stieber – European Commission
Jatinder Singh – University of Cambridge
Akin Unver – Kadir Has University
Michael Veale – University College London
Andrew Young – New York University
Louisa Zanoun – UK Science and Innovation Network

Summaries from Report

14 – 16 September, online

The fifth international conference was a virtual event, due to the global Covid-19 pandemic. Presenting authors pre-recorded their presentations to be shared in advance with all conference participants. This allowed for lively debate during the well-attended online sessions, with 230 registered attendees from 46 countries participating across three days. Standard tracks discussed recurring themes of data governance, technologies for governance, generating knowledge from data, as well as issues of trust, privacy, ethics and law. In addition, the conference featured a number of special tracks, convened and chaired by prominent academics and practitioners. These covered a range of topics considering issues relevant to both private and public sectors, and private citizens. Papers from two special tracks, on data governance frameworks in public administration, and innovation in smart cities, are being curated as special collections in Data & Policy. The use of data in relation to different aspects of the Covid-19 pandemic featured in a number of sessions, including a special session organised by Data for Policy sustainer partner the Alan Turing Institute (Opportunities and Challenges for Data-Driven Research in Response to the COVID-19 Crisis) and a special track organised by GovLab (Re-using data to address COVID-19 and Pandemics).

Keynote Speakers
David Hand, Imperial College
Alessandro Vespignani, Northeastern University
Yi Zeng, Beijing Academy

Plenary Speakers
Katie Atkinson, University of Liverpool
Kamau Bobb, Google
Himanshu Nagpal, Bill & Melinda Gates Foundation
Torbjörn Fredriksson, UN Conference on Trade and Development
Jean Claude Burgelman, Vrije University Brussels
Samia Melhem, World Bank
Martijn Poel, Dutch Ministry of Education, Culture and Science
Jeffrey Schlagenhauf, OECD
Sir Peter Gluckmann, New Zealand
Zuena Aziz, Prime Minister’s Office, Bangladesh
Jeanine Vos, GSMA

Sustainer Partners
The Alan Turing Institute
Cambridge University Press
The Office for National Statistics

Other Partners
GovTech Lab
University of Cambridge
Centre for Science and Policy
New York University –The Government Laboratory (GovLab)
UK Science and Innovation Network
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