Conference Programme Now Available!

Data for Policy 2016 Conference Programme is now available here!

Registration is closing on 1st of September – places are offered on a first come, first served basis.

Featured talks include:

  • “Big Data Analytics and EU Policy-making – huge potential, significant challenges” – Maive Rute, Deputy Director-General of Joint Research Centre, European Commission
  • “Data for Policy: a Myth or a Must?” – Enrico Giovannini, Co-Chair, UN Data Revolution Group, University of Rome ‘Tor Vergata’
  • “Big Data and the Social Sciences: Can Accuracy and Privacy Co-Exist?” – Jim Waldo, Gordon McKay Professor of the Practice of Computer Science and the Chief Technology Officer, School of Engineering and Applied Sciences, Harvard University
  • “Platform Government and a Data Science for Policy-making?” – Helen Margetts, Director of the Oxford Internet Institute, University of Oxford
  • “Algorithmic Regulation: Using Blockchain smart contract technology to revolutionise Financial Regulation” – Philip Treleaven, Professor of Computing and Director of the Financial Computing Centre, University College London
  • “Translating Rigorous Evidence into Policies that Benefit the Poor” – Quentin Palfrey, Executive Director, J-PAL North America, Massachusetts Institute of Technology (MIT)
  • “A Data-driven Public Sector for Sustainable and Inclusive Governance” – Barbara Ubaldi, The Organisation for Economic Co-operation and Development (OECD)
  • “Doing practical data science for social good and public policy” – Rayid Ghani, Director of the Center for Data Science and Public Policy, University of Chicago

Other key participants include:

Andrew Blake, Executive Director, The Alan Turing Institute
Anthony Finklestein, Chief Scientific Adviser for National Security to HM Government; Professor of Software Systems Engineering, The Alan Turing Institute
Andy Hopper, Head of Department, Computer Laboratory, University of Cambridge
David Best, Director, Digital Services, Technology and Methodology, Office for National Statistics
Jon Crowcroft, Marconi Professor of Communications Systems, Computer Laboratory, University of Cambridge; The Alan Turing Institute
Sir David Wallace, University of Cambridge
Kenneth Benoit, Head of the Department of Methodology, London School of Economics and Political Sciences
Derek Wyatt, Chair, Royal Trinity Hospice; NHS Innovations South East, UK
Peter Smith, Professor of Social Statistics, ESRC Administrative Data Research Centre for England and University of Southampton
Gabrielle Demange, Directeur d’Etudes at EHESS; Associate Chair, Paris School of Economics, France
Beth Noveck, The Jerry Hultin Global Network Professor, Tandon School of Engineering; Co-Founder and Director of The GovLab, New York University
Michail Skaliotis, Head of Task Force – Big Data at EUROSTAT, European Commission
Daniel Castro, Director, Centre for Data Innovation, US
Jean Bacon, Professor Emerita of Distributed Systems, Computer Laboratory, University of Cambridge

… and many other prestigious participants.

Limited space left to register!

 

Registration open!

We are pleased to announce that the registration is now open for the Data for Policy 2016 conference. Following the success of our inaugural conference last year, we have received a large number very high quality submissions from academic, government, non-profit and private sector institutions across the globe for this year’s conference. We are also bringing together an exclusive list of expert presentations covering angles from a range of disciplines including Statistics, Computer Science, Economics, Political Science, Psychology, Philosophy, and Law. Data for Policy 2016 is a truly unique international event not to be missed!

Book early to secure a place at the conference!

Featured participants for this year’s conference include:

Professor Jim Waldo, Chief Technology Officer of Harvard University
Professor Enrico Giovannini, Co-Chair, United Nations Data Revolution Group & Uni. of Rome “Tor Vergata”
Ms Maive Rute, Deputy Director-General of European Commission Joint Research Centre
Professor Anthony Finkelstein, Chief Scientific Advisor, UK Government Office for Science
Professor Beth Noveck, Co-Founder and Director of The GovLab, New York University and MIT Media Lab
Professor Helen Margetts, Director of the Oxford Internet Institute, University of Oxford
Ms Barbara Ubaldi, Lead for the OECD Digital Government Project
Dr Rayid Ghani, Director of the Center for Data Science and Public Policy, Chief Data Scientist at the Urban Center on Computation and Data, University of Chicago
Mr David Best, Director, Digital Services, Technology and Methodology, Office for National Statistics
Professor Philip Treleaven, Director of the Financial Computing Centre, University College London
Professor Kenneth Benoit, Head of the Department of Methodology, London School of Economics
Professor Rob Procter, Deputy Head of the Department of Computer Science, University of Warwick
Professor John Shawe-Taylor, Head of the Department of Computer Science, University College London
Mr Dan Gaylin, President and Chief Executive Officer, NORC at the University of Chicago
Mr Daniel Castro, Director, Centre for Data Innovation, US
Professor Gabrielle Demange, Paris School of Economics, France
Dr Yves-Alexandre de Montjoye, Harvard University
Dr Martijn Poel, Technopolis Group
Drs Gideon Shimshon, Director, Centre for Innovation, Leiden University, Netherlands
Professor John Taysom, University College London, University of Cambridge, Harvard University
Professor Sir David Wallace, University of Cambridge
Professor Derek Wyatt, Chair, Royal Trinity Hospice; NHS Innovations South East, UK
Professor Ralph Schroder, Oxford Internet Institute, University of Oxford
Professor Jon Crowcroft, Computer Laboratory, University of Cambridge

and many other prestigious speakers & participants tbc…

This year’s conference is kindly supported by the following institutions:

  • University of Cambridge – Computer Laboratory & Centre for Science and Policy (CSaP)
  • European Commission
  • The Alan Turing Institute
  • Office for National Statistics
  • Imperial College London – Data Science Institute
  • London School of Economics – Department of Methodology
  • University of Oxford – Oxford Internet Institute
  • University College London – Department of Computer Science & UCL Public Policy
  • Royal Statistical Society
  • London Innovation Society
  • Technopolis Group
  • New York University (NYU) – The Government Lab (GovLab) & Open Governance Research Exchange (OGRX)
  • Leiden University – Centre for Innovation

Registration Deadlines: 

Presenters’ registration deadline: Monday, 1 August 2016
Public registration deadline: Thursday, 1 September 2016 *

* Please note that public registration may be closed earlier if all spaces are filled before the deadline.

Sponsorship and exhibition opportunities are available. If you are interested please get in touch via email – team@dataforpolicy.org

Please click here to complete your registration to secure a place at this prestigious conference. Please also note that access to the conference venues will not be permitted without advance registration.

We look forward to seeing you in Cambridge in September.

Kind regards,

Data for Policy Team

 

Call for Papers, Presentations, Workshops, and Sessions

Submission is now closed! Please watch this space for updates…

Data Science is emerging as a key interdisciplinary research field to address major contemporary challenges across sectors. Particular focus on the government sector offers huge potentials to advance citizen services and collective decision-making processes. To reflect the diversity of skills and knowledge required to tackle challenges in this domain, the conference offers an open discussion forum for all stakeholders. We invite individual and/or group submissions from all relevant disciplines and application domains. Topics covered include but are not limited to the following:

  • Government & Policy: Digital era governance and citizen services, public demand vs. government response, using data in the policy process, open source and open data movements, policy laboratories, citizen expertise for government, public opinion and participation in democratic processes, distributed data bases and data streams, information and evidence in policy context, case studies and best practices.
  • Policy for Data & Management: Data collection, storage, and access; psychology/behaviour of decision; privacy, trust, public rights, free speech, ethics and law; data security/ownership/linkage; provenance, curation, expiration; private/public sector/non-profit collaboration and partnership, etc.
  • Data Analysis: Computational procedures for data collection, storage, and access; large-scale data processing, dealing with biased/imperfect/uncertain data, human interaction with data, statistical/computational models, technical challenges, communicating results, visualisation, etc.
  • Methodologies: Qualitative/quantitative/mixed methods, gaps in theory and practice, secondary data analysis, web scraping, randomised controlled trials, sentiment analysis, Bayesian approaches and graphical models, biologically inspired models, real-time and historical data processing, simulation and modeling, small area estimation, correlation & causality based models, and other relevant methods.
  • Data Sources: Government administrative data, official statistics, commercial and non-profit data, user-generated web content (blogs, wikis, discussion forums, posts, chats, tweets, podcasting, pins, digital images, video, audio files, advertisements, etc.), search engine data, data gathered by connected people and devices (e.g. wearable technology, mobile devices, Internet of Things), tracking data (including GPS/geolocation data, traffic and other transport sensor data, CCTV images etc.,), satellite and aerial imagery, and other relevant data sources.
  • Policy/Application Domains: Security, health, cities, public administration, economy, science and innovation, finance, energy, environment, social policy areas (education, migration, etc.) and other relevant domains.

Extended abstracts for individual submissions should not exceed 1000 words and group/special session submissions are limited to 4500 words (including general session description and abstracts for each of the presentations in the session). Please note that this conference will also mark the launch of the new Data for Policy Discussion Paper Series. All submissions will also be considered for this series and those selected will be invited to submit full discussion papers prior to the conference. Consideration will also be given for other post-conference publications (e.g. special journal issues and policy reports).

Please note that special session proposals can be submitted for research panels, policy workshops, fringe meetings, tutorials, demonstrations, and other innovative formats as relevant to conference audience. Organisations can get in touch with Data for Policy Team (team@dataforpolicy.org) to discuss potential partnership opportunities and/or group discounts.

Please also note that special discounts with conference registration fees will be applied to students and early career researchers. Limited funding is also available to support travel expenses of exceptional candidates. For those wishing to be considered for travel support please send a CV and covering letter to the conference team after completing your submission and before the submission deadline.

PDF version of the Call for Contributions can be downloaded here

All general enquiries about the conference should be directed to the Data for Policy Team at team@dataforpolicy.org

Poster competition – Innovation Awards on Data Science with Policy Implications

London Innovation Society (LIS) in collaboration with Data for Policy 2016 conference will be running its second Innovation Awards event for research students and young researchers. All poster presentations at the conference will be considered for these awards. Shortlisted candidates for this unique competition will have the chance to showcase their research to a select delegation from top international universities, government bodies, non-profit organisations and private businesses. LIS also offers monetary awards to the first three places in the competition.

To enter this poster competition, we invite all researchers working on data science with policy implications to make standard submissions to the conference. Please note that the standard practice will be to consider all submissions for oral presentations first, but if you wish to be considered only for the poster sessions then please indicate this at the top of your submission.

Important Dates:

Abstract submission deadline: Monday, 16 May 2016
Notification of acceptance: Friday, 17 June 2016
Presenters’ registration deadline: Monday, 1 August 2016
Discussion Paper submission deadline: 15 August 2016
Public registration deadline: Thursday, 1 September 2016
Conference: Thursday-Friday, 15-16 September 2016

Data for Policy 2016 Partner Institutions: 

Computer Laboratory, University of Cambridge | European Commission | The Alan Turing Institute | Office for National Statistics | Data Science Institute, Imperial College London | Department of Computer Science, University College London | Oxford Internet Institute, University of Oxford | Department of Methodology, London School of Economics and Political Science | Royal Statistical Society | London Innovation Society | Centre for Science and Policy, University of Cambridge | UCL Public Policy | Technopolis Group