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 (email@example.com) 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.
All general enquiries about the conference should be directed to the Data for Policy Team at firstname.lastname@example.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.
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