Registrations Open for Data for Policy 2019

Public registration deadline – 31st May
(Presenters should register by 8th April)

Spaces are limited – register early to secure a place!

Data for Policy is a premier global forum for interdisciplinary and cross-sector discussions around the impact and potential of the digital revolution in the government sector. It is supported by a large number of key stakeholders, including prestigious academic institutions, government departments, international agencies, non-profit institutions, and businesses.

The 2019 conference will be held at UCL, which is located in the heart of London.

This year we have been overwhelmed by a large volume of quality submissions, representing a diverse range of international organisations and subject matter. We are expecting to host over a hundred presentations over two days of this year’s conference.

Keynote and plenary speakers confirmed to date include:

Rt Hon Margot James MP, UK State Minister for Digital
David Price, Vice-Provost (Research), UCL
Paula Forteza, Member of Parliament, France
Lord Holmes of Richmond, UK
Aaron Maniam, Government of Singapore
Laura Rodríguez Mendaro, Government of Uruguay
Junseok Hwang, Seoul National University, Korea
Stefaan Verhulst, The GovLab, New York University
Christoph Luetge, Technical University of Munich, Germany
Jon Crowcroft, University of Cambridge & Alan Turing Institute
Innar Liiv, Tallinn University of Technology, Estonia
Diego Kuonen, Universite de Geneve, Switzerland
Julia Stoyanovich,  New York University
Nicolas Wright, UCL and Georgetown University
Barbara Ubaldi, OECD, Paris
Tom Smith, Office for National Statistics, UK

We are also running a series of Pre-Conference Workshops and Tutorials on June 10th, including:

  • “Introduction to Artificial Intelligence in Government” – Instructor(s): Jasmine Grimsley and Isabela Breton, Data Science Campus, Office for National Statistics
  • “Data Sharing and Data Trusts” – Instructor(s): Gefion Thuermer, Johanna Walker, Peter Wells, and Kieron O’Hara; University of Southampton
  • “Big-Data for Policy Making and Digital Transformation” – Instructor(s): Francesco Mureddu, Lisbon Council, Italy
  • “Collaborating with Universities: marriage made in heaven?” – Instructor(s): Beate Knight, Vania Sena and Gina Yannitell Reinhardt; University of Essex
  • “Understanding the data & curation choices behind the Indicator: SDGs and LSMS-ISA measures of progress – Instructor(s): Ayala Wineman and Leigh Anderson; University of Washington
  • “Digital Ethics and Algorithm Assessment” – Instructor(s): Zeynep Engin and Adriano S. Koshiyama; University College London
  • “Data Stewardship in Action: Workshop on Making Data Collaboratives Systematic, Sustainable and Responsible” – Instructor(s): Stefaan Verhulst, The GovLab, New York University

Please watch this space for further updates on the conference programme and presentations.

Important note for presenters: Presenters should register by April 8 latest to secure a time slot in the conference proceedings.

Queries can be directed to

Important Dates:

Submission Deadline for Extended Abstracts28 January 2019
Submission Deadline for Pre-Conf. Workshops*22 February 2019
Notification of Acceptance4 March 2019
Registration Deadline for Presenters8 April 2019
Deadline for Discussion Paper submissions13 May 2019
Deadline for Public Registration31 May 2019 (may close earlier if all places are taken)
Pre-Conference Workshops & Tutorials10 June 2019
Conference in London11-12 June 2019

Partner Organisations:

Call for Pre-Conference Workshops and Tutorials (10th June)

Chair: Prof. C. Leigh Anderson

Submissions are closed and notifications sent.

Data for Policy will hold a one day Specialist/Executive workshops and tutorials pre-conference program. We are therefore inviting proposals for 3-hour workshops on 10th June that preview and complement the conference program. In exceptional cases, allocation of two 3-hour slots (full-day) will also be considered on the same theme.

We are hoping for a selection of workshops that will be open to policy practitioners and to researchers, including those with or without programming skills.  Proposals from academic, government, and private sectors are welcome. Accepted workshop proposals will be published on the conference websiteand advertised for registration.

We have two target audiences in mind. These are:

  • Executive, Policy and Practitioner:

These participants are key policy makers, public sector, not-for-profit and opinion formers in health, education, transportation or any field where knowledge and expertise will be complemented by a greater understanding of the technical domain, including  what is meant by privacy, how to work and communicate with data scientists, use data to improve program delivery, estimate the cost-effectiveness of different digital technologies, and anticipate the regulatory and ethical implications of new technologies. Proposals that target this audience should think of introductory level instruction pertaining to the language,  landscape, value, uses and likely impacts of AI, Blockchain, IoT, and Big Data.  

  • Researchers and Data Scientists Specializing in Government and Public Applications:

These participants, from the social or computing sciences or other fields (e.g. law and philosophy), will have some background knowledge and/or training. Proposals that target this audience can make use of this background and present more focused and directed training content on new technologies or data, methods, debates, policy implications, etc.

Note that general audience workshops, that both groups can attend, may also be proposed.

Workshop/Tutorial instructors will receive an honorarium proportional to the number of attendees to their respective session.

Please also note that if instructors are interested in submitting for the full conference program (11-12th June), they will be granted an extension to the submission abstract deadline.

Queries can be directed to

Submissions should be made via EasyChair (please see guidelines for further instructions).