Fifth International Data for Policy Conference will take place virtually on September 15-17, 2020.
The Data for Policy conference series is the premier global forum for multiple disciplinary and cross-sector discussions around the theories, applications and implications of data science innovation in governance and the public sector. In partnership with Cambridge University Press, the conference series has also entered into a new open-access peer-reviewed journal venture, Data & Policy, in order to capture and archive scholarly discussions in this fast-growing field.
Conference submissions are now closed and we are working on the programme. All conference contributions will be considered for peer-reviewed publication in Data & Policy, a Data for Policy – Cambridge University Press collaboration supported by the Alan Turing Institute, Office for National Statistics and UCL.
COVID-19 Update: 18 May 2020
Due to the coronavirus (COVID-19) pandemic, the International Conference Organisation Committee has decided to hold the Data for Policy 2020 meeting virtually 15-17 September replacing the physical meeting scheduled for 15-16 September 2020 in London. The committee has also decided to cancel pre-conference workshops for this year originally planned for 14 September 2020. This decision was not taken lightly but we believe this is the correct decision since we are, first and foremost, committed to protecting our delegates’ health and safety while fulfilling our central purpose as a top international forum bringing together key stakeholders in this space.
Designing and delivering a virtual version of Data for Policy 2020 is clearly a new challenge for us and there are many questions to answer regarding the format of the virtual meeting, what it means for your participation, conference publications planned, registration fees, and more. Please be patient as we continue our work and plan next steps. As new information becomes available, we will share it on our website and social media accounts, and via email to our subscribers. For those already made travel arrangements for London in September please remember to cancel them.
Beyond practical considerations, we also believe the Data for Policy 2020 conference will be a great opportunity to also assess and review the data science responses to the current global pandemic. To this account we have recently added a further Special Track “Re-using data to address COVID-19 and Pandemics” to our conference call. This track will be chaired by Professor Stefaan Verhulst from GovLab at NYU.
We are committed to honouring the high-quality work of our authors and volunteers, and hence will now fully shift our efforts to the development and delivery of a successful virtual conference experience this year. Given the pioneering role of the Data for Policy community, we believe this experience will also enable us to experiment on more innovative and efficient ways to improve our future physical meetings as well.
Thank you for your contributions in making Data for Policy 2020 conferences a top global forum and we look forward to meeting again virtually in September.
Data for Policy Team
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
Masaru Yarime – Hong Kong University of Science and Technology
Special Track Chairs:
Leigh Anderson – University of Washington
Jenny Bunn – UCL Information Studies
Carla Coburger – Rebuilding Macroeconomics, National Institute of Economic and Social Research
Claire Connelly – Rebuilding Macroeconomics, National Institute of Economic and Social Research
Sylvie Delacroix – University of Birmingham
Gabrielle Demange – Paris School of Economics (PSE), France
Catherine D’Ignazio – MIT, US
Doyne Farmer – Institute for New Economic Thinking, University of Oxford
Silvana Fumega – ILDA, Argentina
Sarah Giest – Leiden University
Bilal Gokpinar – UCL School of Management
Jacopo Grazzini – EUROSTAT
Daniele Guariso – University of Sussex and The Alan Turing Institute
Omar Guerrero – The Alan Turing Institute and UCL
Neil Lawrence – University of Cambridge
Elizabeth Lomas – UCL Information Studies
Jessica Montgomery – University of Birmingham
Francesco Mureddu – Lisbon Council
David Osimo – Lisbon Council
Vassilios Peristeras – European Commission
Alison Powell – LSE and the Ada Lovelace Institute
Fabio Ricciato – EUROSTAT
Lorena Rivero del Paso – Global Initiative for Fiscal Transparency
Harald Stieber – European Commission
Helena Suárez Val – feminicidiouruguay.net and University of Warwick, UK
Barbara Ubaldi – OECD, Paris
Stefaan Verhulst – The GovLab, NYU
Benjamin Welby – OECD, France
Masaru Yarime – Hong Kong University of Science and Technology
Steve Yoo – UCL School of Management
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
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
Data & Policy Journal Manager:
Andrew Hyde – Cambridge University Press
|Deadline for Special Track proposals|
|Call for Papers & Workshops – announcement|
|Extended abstract deadline|
|Notification of acceptance|
|Registration deadline for presenters||17 July 2020|
|Discussion paper and video submissions||30 July 2020|
|Public registration deadline||20 August 2020|
|Conference||15-17 September 2020|
Call for Papers and Panel Session Proposals
Submission deadline extended to 20 May 2020 due to Covid-19 disruptions.
The Data for Policy conference series is the premier global forum for multiple disciplinary and cross-sector discussions around the theories, applications and implications of data science innovation in governance and the public sector. The conference series has also entered into a new open-access peer-reviewed journal venture, Data & Policy (cambridge.org/dap), published by Cambridge University Press and supported by the Alan Turing Institute, the Office for National Statistics and UCL, in order to capture, assess and disseminate scholarly discussions in this fast-growing field.
Convening for the fifth time in September 2020, the International Organisation Committee for the conference invites Paper and Panel Session proposals at the conference to be also considered for potential post-conference publications in Data & Policy (subject to peer-review).
Topics covered include but are not limited to the following:
- Data, Governance and Policy: Digital era citizenship, governance and democracy; data and sustainability, data and politics, evidence and information, data-algorithm-policy interactions, public-private sector collaborations, best practices;
- Governance Technologies (GovTech): Machine Learning (ML) / Artificial Intelligence (AI), Big Data, Blockchain Distributed Ledger and Smart Contract Technologies, Behavioural and Predictive Analytics, Internet of Things, Information Security, location-based technologies, user-interaction technologies (chatbots, platforms etc.), and other relevant technologies;
- Systems & Infrastructure: Data collection, capture, storage, sharing/transactions, processing and visualization systems, mobile applications and web services, high performance computing, distributed and decentralized systems, and other relevant topics;
- Data Processing & Knowledge Generation: Data representation and pre-processing, data integration, real-time and historical data analysis, mathematical and statistical models, ‘data-driven’ analysis, 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 ownership, curation, sharing and linkage; meta-data, standards and interoperability, responsible innovation in governance;
- Trust, Privacy, Ethics & Law: Personal data sharing, data integrity, algorithm agency and accountability, ‘trustworthiness’ of autonomous systems, algorithmic transparency and interpretability, citizen-government-private sector interactions, citizen/public rights and free speech, other social/ethical concerns and technology responses.
In addition to these Standard Tracks, submissions can also be made to the following Special Tracks that have been shortlisted for this year’s conference.
Contributors should follow the instructions on the conference website in order to submit an abstract for their paper or session proposal, or their poster presentation. Abstract submissions will be assessed according to the criteria outlined on the website.
Those accepted to present at the conference are requested to upload a discussion paper (see the guidelines page for templates and formatting instructions) to the Data for Policy community platform on Zenodo (https://zenodo.org/communities/dfp17), an open-access repository. Other materials that they wish to share can be included – such as their presentation slides, or any related data sets. Any material submitted to Zenodo is citable, so it can be referenced in any future publications.
In addition, authors are free to submit articles based on their Conference presentations to journals and other publishing venues of their choosing. Data & Policy is one option: an open access, peer reviewed journal dedicated to data science and governance, published by Cambridge University Press in association with Data for Policy.
Following the Conference, some Chairs and Special Track Chairs will be editing special collections of articles in the journal based upon their Track, and they will invite specific authors to contribute. Authors are also free to submit to the journal independently of this process, but note that you will need to consider the journal’s article types and provide some additional disclosure statements as detailed on the journal’s Instructions for Authors. If you are interested in submitting to Data & Policy, we recommend contacting our colleagues at Cambridge University Press via firstname.lastname@example.org as a first step.
Contacts: For all questions related to conference submissions, please contact email@example.com; and for questions relating to publication in Data & Policy, please contact firstname.lastname@example.org .
Call for Pre-Conference Workshops – CANCELLED
[Important Update]: As part of the changes due to COVID-19 disruptions, the Pre-Conference Workshops and Tutorials are cancelled for Data for Policy 2020 conference. Main conference will now be held virtually on 15-17 September dates.
POST-ACCEPTANCE OF CONTRIBUTION
Video presentation preparation and submission guidelines:
All presenters are also required to submit a video of their presentation to be shared on the Data for Policy YouTube channel.
The following is a guide to preparing the presentation video. Please note the absolute requirements which we ask you to adhere to:
- Use a neutral, natural background, with adequate lighting
- Videos must be made in landscape orientation
- Presenter must start the video by introducing themselves, and giving the submission number and title.
- Videos must be 15-25 minutes in length
- Videos must be at least 720p resolution. The optimum resolution for YouTube is 1080p. Videos do not need to be higher resolution than this.
- Videos must be in YouTube supported format (see YouTube page for details).
- Videos must be named in format [#submission number]_[initial.family name of presenter], e.g. #1_e.gardner
- Videos must be submitted by 30th July. Instructions on uploading videos will be sent to the submission’s first author by email.
Please notify us as soon as possible if you cannot meet any of these requirements.
To assist you in preparing your videos, we have compiled guidance for using the Zoom platform and guidance for using Microsoft Teams. This guidance on platforms may be updated from time to time. Absolute requirements for videos are highlighted in the text. The organisers regret that they are unable to offer support to individuals in recording their presentations.
These will be made available to all Conference registrants, but not publicly accessible before the Conference. Videos may also be uploaded to the Data for Policy community on Zenodo, in which case the owner will be able to control sharing.
Discussion paper submission guidelines:
All authors are requested to upload a discussion paper (see below for templates and formatting instructions) to the Data for Policy community page on the Zenodo platform (Data for Policy community profile). Other materials that they wish to share can be included – such as their presentation slides, or any related data sets. Any material submitted to Zenodo is citable, so it can be referenced in any future publications.
Click to download Word template: Data_for_Policy_Word_Template
Click to access LaTeX template via DropBox: Data for Policy LaTeX template
Click to view document formatting instructions in a new tab: Data for Policy Formatting Instructions
The deadline for all submissions is 30th July.
Instructions for uploading to Zenodo (https://zenodo.org/):
- After logging in to Zenodo click on the ‘Upload’ tab. Following this select the ‘New Upload’ option.
- After ‘Dragging/Choosing files’, search ‘Data for Policy’ under the ‘Communities’ section (users will need to scroll down the options and identify the Data for Policy logo).
- The next step is to select from the ‘Upload Type’. Here, those submitting Discussion/Forum Papers should select the ‘Publication’ option. Then, select ‘Conference Paper’ from the ‘Publication Type’ option. Those submitting Presentations should choose the ‘Presentation’ option.
- Zenodo will generate a DOI, as such under the ‘Basic Information’ section authors should fill only the ‘Tile’, ‘Authors’, ‘Description’ and ‘Key Words’.
- The default option under ‘Licencing’ is Open access. This option is encouraged, however, when appropriate authors can select the restricted options.
- At this point, authors will be able to ‘Publish’, all other information is optional.
Submissions should align with the instructions provided by the Data & Policy Journal.
Please name your file as:
- Submission Number_Last (family) name of the corresponding author for the paper
All submissions will be first used for conference discussions and then considered for conference proceedings and other post-conference publications (e.g. special journal issues and policy reports).
Conference Participant guidelines:
We are developing guidelines for all participants of the virtual conference in order to ensure it runs smoothly. These will be published on this website in advance of the conference, and all registered participants will be notified accordingly.
Please refer any questions to our team at email@example.com
(reduced from £850 for the physical conference)
Registration via Bank Transfer:
We accept registrations via bank transfer* to:
Data for Policy CIC
National Westminster Bank (NatWest)
Account Number: 33915806
Sort Code: 56-00-31
* [IMPORTANT NOTE]: If you are registering via bank transfer, please send full delegate information – full name including title, email address, institution, and submission number (presenting delegates only) – and the payment reference to firstname.lastname@example.org after completing the bank transfer.
Terms & Conditions
We take receipt of a completed registration form as acceptance of the following terms and conditions:
- Registration with full payment of the conference fees must be received before the registration deadlines:
- Presenting delegates must register by deadline specified, latest to secure their time slot in the main conference programme. Each delegate can register to present only one paper at the conference and if multiple papers are accepted from the same author, they should either invite co-authors to present additional papers or indicate their preferred paper for presentation at the conference.
- Public registration to the conference is limited and places will be offered on a first-come-first-served basis. If the spaces are filled earlier, the registration will be closed before the deadline. Please note that e-access to the conference will not be permitted without advance registration.
- Registration fees are non-transferable and cancellations of registration with full refund are allowed until the registration deadline that applies to the delegate. Registration fees are non-refundable after deadlines.
- Organisers cannot accept any liability for personal injuries or for loss or damage to property belonging to the delegates, either during, or as a result of the conference.
- Photography and video-recording will take place during the conference to be used for post-conference publications and other related online/printed material to be produced by Data for Policy. Any reservations about this condition should be sent to email@example.com prior to the conference to avoid any disappointment in the future.
- “I agree to Data for Policy processing personal data contained within the registration process, or other data which may be obtained from me or other people whilst I am applying for the conference. I agree to the processing of such data for any purpose connected with my attendance at the conference, or my health and safety whilst on event premises.”
- The organisers reserve the right to change conference programme, and to cancel the conference in case of any unpredictable event.
Programme Details will follow in the lead up to the conference.