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Frontiers of Data Science for Government: Ideas, Practices, and Projections

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Frontiers of Data Science for Government: Ideas, Practices, and Projections Frontiers of Data Science for Government: Ideas, Practices, and Projections 15-16 September 2016 University of Cambridge dataforpolicy.org | @dataforpolicy | #DataFrontiers About Data for Policy Initiative Launched at the inaugural conference that was hosted by the University of Cambridge in 2015, Data for Policy has been established as an independent initiative to promote “Policy- making in the Big Data Era: Opportunities and Challenges” interdisciplinary and cross-sectorial discussion on the use of Data Science research to enhance government operations and policy-making. The inaugural conference hosted top-level presentations from UK and EU government bodies, prestigious national and international universities, non-profit institutions, and major industrial stakeholders. We are grateful to the following prestigious institutions • University of Cambridge for supporting this initiative: – Computer Laboratory, Centre for Science and Policy, • European CommissionCambridge Big Data Strategic Research Initiative, Digital Humanities Network, • Alan Turing InstituteCambridge Public Policy Initiative • Imperial College London • London School of Economics & Political Sciences – Data Science Institute • University College London – Department of Methodology • University of Oxford – Department of Computer Science, UCL Public • Office for National StatisticsPolicy, The Bartlett – UCL Faculty of the Built Environment • Royal Statistical Society– Oxford Internet Institute • New York University • Leiden University • Technopolis Group – The GovLab, Open Governance Research Exchange – Centre for Innovation 1 Data for Policy 2016 Conference sectors Data Science is emerging as a key interdisciplinary research field to address major contemporary challenges across . 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. Data for Policy 2016 invited individual and/or group submissions from all relevant disciplines and application domains. Topics covered included but were not limited to Government & Policy:the following: 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, Policy finformation and evidence in policy context, case studies and best practices.or 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 Data Analysis:sector/non-profit collaboration and partnership, etc. 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 Methodologies:results, visualisation, etc. 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 & Data Sources:causality based models, and other relevant methods. 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, Policy/Application Domains:and other relevant data sources. Security, health, cities, public administration, economy, science and innovation, finance, energy, environment, social policy areas (education, migration, etc.) and other relevant domains. 2 Organisers Advisory Committee: Bacon Benoit Prof. Jean , Computer Laboratory, University of Cambridge Prof. Kenneth Cleevely , Department of Methodology, London School of Economics and Political ScienceCrowcroft Dr. David Finkelstein, Centre for Science and Policy, University of Cambridge Prof. Jon Giovannini, Computer Laboratory, University of Cambridge Prof. Anthony , Chief Scientific Advisor, Government Office for Science, UK Prof. Enrico Hand , Co-Chair, UN Data Revolution Group & University of Rome “Tor Vergata”, Italy Haskel Prof. David Howarth, Winton Capital Management and Imperial College Prof. Jonathan , Data Science Institute, Imperial College London Prof. David Margetts, Department of Politics and International Studies, University of CambridgeNoveck Prof. Helen Oates , Oxford Internet Institute, University of Oxford Prof. Beth Procter , The GovLab, New York University & MIT Media Lab, US Mr. Bill Reid, Chief Data Scientist, Office for National Statistics, UK Prof. Rob Shawe-, Department of Computer Science, University of WarwickTaylor Prof. Graeme Smith , University College London Prof. John , Department of Computer Science, University College London Prof. Peter Taysom, ESRC Administrative Data Research Centre for England and University of Southampton Prof. John Treleaven, University College London, University of Cambridge, Harvard UniversityWolfe Prof. Philip Wallace, Department of Computer Science, University College London Prof. Patrick Watson , Deputy Director, The Alan Turing Institute, UK Prof. Sir David Williams , University of Cambridge Mr. Glen Wyatt, Director-General, Office for National Statistics, UK Prof. Robin , School of Social and Political Science, University of Edinburgh Prof. Derek , Chair, Royal Trinity Hospice; NHS Innovations South East, UK Executive Committee: Engin Dr. Zeynep Bharath , Chief Organiser, Data for Policy 2016; University College London; University of Cambridge Dr. Anil Gokpinar, Data Science Institute & Dept. of Bioengineering, Imperial College London Agarwal Dr. Bilal , School of Management, University College London Dr. Prabhat , European Commission Programme Committee: Alexander Castro Dr. Anne Demange, Digital Humanities Network, University of Cambridge, UK Mr. Daniel Demirsoy, Director, Centre for Data Innovation, US Prof. Gabrielle de Montjoye, Paris School of Economics, France Dr. Suleyman , Director, London Innovation Society, UK Dr. Yves-Alexandre , Harvard University, US 3 Dyer-Smith Ghani Dr. Clare McPherson , Cambridge Big Data SRI, University of Cambridge Dr. Rayid Meyer, Centre for Data Science and Public Policy, University of Chicago, US Dr. Ella Michaylov, Department of Sociology, University of Cambridge Prof. Eric , Oxford Internet Institute, University of OxfordMoat Dr. Slava Mortier, Department of Political Science, University College London Assoc. Prof. Suzy Moy , Warwick Business School, University of Warwick Dr. Richard Musolesi , Computer Laboratory, University of Cambridge Mr. Will , Director, Full Fact, UKPreis Dr. Mirco Poel , Department of Geography, University College London Assoc. Prof. Tobias Powell , Warwick Business School, University of Warwick Dr. Martijn , Technopolis Group Dr. Alison Sausman, Media and Communications, London School of Economics and Political ScienceSchroder Dr. Charlotte Shimshon, Cambridge Public Policy SRI, University of Cambridge Prof. Ralph Singh , Oxford Internet Institute, University of Oxford Drs. Gideon Stevenson , Director, Centre for Innovation, Leiden University, Netherlands Dr. Jatinder Tastan , Computer Laboratory, University of Cambridge Dr. Olivia , UCL Public Policy Dr. Mesut Ubaldi, Department of Finance, London School of Economics and Political Science Ms. Barbara Vlad-Calcic, The Organisation for Economic Co-operation and Development (OECD) Žliobaitė Ms. Diana , European Commission Dr. Indrė , Uni. of Helsinki, Aalto Uni., Helsinki Inst. for Information Technology (HIIT), Finland 4 Conference Programme Thursday, 15 September 2016 09:30 – 10:00 Arrivals & Registration 10:00 – 10:20 Welcome & Introductions (Room – LT1) Hopper, Andy Professor of Computer Technology and Head of Department, Computer Laboratory, University of CambridgeEngin, Zeynep Chief Organiser, Data for Policy 2016 ; Senior Research Associate, Urban Dynamics Lab, UCL; Policy Fellow, Centre for Science and Policy, University of Cambridge 10:20 – 11:20 Opening Plenary Session (Room – LT1) “Big Data Analytics and EU Policy-making – huge potential, significant challenges" Rute Maive , Deputy Director-General of Joint Research Centre, European “CPlatform Government and a Data Science for Policyommission -making?” Margetts “Helen Algorithmic Regulation:, Director of the Oxford Internet Institute, University of Oxford Using Blockchain smart contract technology to rev olutionise Financial Regulation” Treleaven Philip , Professor of Computing and Director of the Financial Chair: Computing CentreCrowcroft , University College London Jon , Marconi Professor of Communications Systems, Computer Laboratory, University of Cambridge; The Alan Turing Institute 11:20 – 11:40 Break 11:40 – 12:40 Parallel Session 1 Session
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