1. *Data for Policy 2020:* Call for Papers and Session Proposals 2. *Data for Policy 2020:* Call for Pre-conference Workshops and Tutorials 3. *Vacancy (deadline: 28th February):* Research Assistant / Research Fellow in Data Science for Governance and Public Policy ------------------------------ 1)* Data for Policy 2020:* Call for Papers and Session Proposals 15-16 September 2020, UCL, London, UK dataforpolicy.org <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=9b6005269a&e=5b0bc1e683> | @dataforpolicy <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=f0a2b8835e&e=5b0bc1e683> | cambridge.org/dap <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=658a94211f&e=5b0bc1e683> | @data_and_policy <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=de20644d9e&e=5b0bc1e683> 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 <http://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 <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=cd08267e94&e=5b0bc1e683> that have been shortlisted for this year’s conference: - *Special Track 1: *Data, analytics and digital transformation in the private sector - *Special Track 2: *Data Quality and Development Policy - *Special Track 3: *Data Trusts: Democratising data governance - *Special Track 4: *Documenting Data and Data Science: Surfacing Data Processes and Practices - *Special Track 5: *Feminicide, Data and Policy: data activism, civic information ecosystems, and public policy oriented to ending lethal gender-related violence against women - *Special Track 6:* ‘For good measure’: The challenges of quantifying complex problems for policymaking - *Special Track 7: *Harnessing Data and Science to Achieve the Sustainable Development Goals - *Special Track 8: *Regulating algorithmic trading in financial markets - *Special Track 9: *Google Economics: Data – Complex Models – well-informed Policy Making - *Special Track 10: *Data technologies and governance frameworks used for gathering, storing, managing, processing, analyzing and sharing data in the public administrations - *Special Track 11: *Recent experiences using GovTech to address data sharing challenges and to implement modern data access paradigms - *Special Track 12:* Data Literacy for Policy - *Special Track 13: *Data Governance in the Public Interest - *Special Track 14:* Data Governance for Innovation for Sustainable Smart Cities: Opportunities and Challenges in Public Policy and Institutional Design - *Special Track 15: *Applying data for improved service design and delivery *Submission instructions * Contributors should follow the instructions on the conference website <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=61e229d671&e=5b0bc1e683> 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. Contributors will be notified on 18th May whether they have been accepted into the conference. *Dissemination options* Those accepted to present at the conference will be given two mutually compatible, open-access options for disseminating their full paper and/or any related materials. The Data for Policy community platform on Zenodo ( https://zenodo.org/communities/dfp17 <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=2750d2927c&e=5b0bc1e683>), an open-access repository, can be used to share the paper ahead of the conference, along with any related materials such as posters, slides, audio, video, protocol, data sets and code that you think others may wish to view or re-use. In addition, there is the option of submitting a full paper to *Data & Policy *(cambridge.org/dap), the open access journal launched in collaboration with Cambridge University Press (CUP). As outlined on the website the journal considers several article types <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=3b536500e8&e=5b0bc1e683>: research papers, commentaries, replication studies and* Data & Policy* reports. Authors will receive feedback from editors and reviewers with expertise in different domains, as a result of the peer-review process <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=9237e19a3b&e=5b0bc1e683> overseen by the Editorial Board <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=669d9e902d&e=5b0bc1e683>. If accepted, the paper will receive greater impact as a result of formal publication, curation and promotion from our partners at CUP. Neither of these dissemination options are required for presenting at the conference, but we encourage contributors to consider the advantages of using them to help build the community and knowledge base concerned with impact of data science on policy and governance. *Contacts: *For all questions related to conference submissions, please contact team@dataforpolicy.org; and for questions relating to publication in *Data & Policy*, please contact dataandpolicy@cambridge.org . ------------------------------ 2. *Data for Policy 2020:* Call for Pre-conference Workshops and Tutorials 14 September 2020, UCL, London, UK dataforpolicy.org <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=2b0f25fffd&e=5b0bc1e683> | @dataforpolicy <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=98d43fca3d&e=5b0bc1e683> | cambridge.org/dap <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=21ae434704&e=5b0bc1e683> | @data_and_policy <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=580d401837&e=5b0bc1e683> *Workshops and Tutorials Chair: *Professor C. Leigh *Anderson*, University of Washington Data for Policy is inviting proposals for 1.5-hour workshops for a pre-conference program on 14th September aimed at educating policy practitioners and researchers on current and emerging knowledge and debates on topics that intersect data and public policy. In exceptional cases, allocation of multiple 1.5-hour slots on the same theme will also be considered. We are seeking a selection of workshops that preview or complement the conference program. Proposals from the academic, government, and private sector of a non-commercial nature are welcome. Accepted workshop proposals will be published on the conference website <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=8a92c5feac&e=5b0bc1e683> and advertised for registration. *Workshop Goals* Valuable workshops are those that advance participant’s ability to be critical and informed consumers or producers of data based evidence, understand the differences between causal inference and prediction, and be cognizant of the potential and limitations of new data sources and computational methods for public policy and program delivery. Topics can fall into three areas and cover: - *Technical to policy translation* on data sources such as the internet, IoT, social media, administrative, satellite and other remotely-sensed, computation methods and technologies (e.g. AI, Blockchain), and popular/ open-access data and document sharing and management tools. - *Policy to technical translation* covering how the policy process works, points of decision-making and the use of data; current methods of program delivery including coverage, measurement and evaluation; legal and policy frameworks governing data production, acquisition, sharing and use. - *Sector applications* in particular policy fields such as health, education, climate, transportation, employment, finance and management, governance and democracy, and security. We have two target audiences in mind. These are: - *Executive, Policy and Practitioner:* These participants are key decision-makers and influencers primarily in the public sector, but also in private and not-for-profit organizations with social responsibility 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, using data and technology to improve program delivery, estimating the cost-effectiveness of different digital technologies, and anticipating the regulatory and ethical implications. Proposals that target this audience should think of relatively introductory level instruction pertaining to the language, landscape, value, uses and likely impacts of different technologies and data sources. - *Researchers and Data Scientists Specializing in Government and Public Applications:* These participants are researchers and analysts from the social or computing sciences or other fields, such as law and philosophy. Proposals that target this audience should be clear about any assumed background training for a workshop more focused on producers of knowledge using new technologies, data, and methods, and the policy implications of the research. General audience workshops that both groups can attend may also be proposed. Queries can be directed to team@dataforpolicy.org Submissions should be made via *EasyChair <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=900c95b466&e=5b0bc1e683>* (please see guidelines <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=cfd106730b&e=5b0bc1e683>for further instructions). ------------------------------ 3. *Vacancy (deadline: 28th February)*: Research Assistant / Research Fellow in Data Science for Governance and Public Policy We are interested in building a collaborative team to lead research in this emerging field whilst also supporting the coordination and management of our two main projects – *Data for Policy* <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=9da8b8982b&e=5b0bc1e683> conference series and the *Data & Policy* <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=b18a3576ac&e=5b0bc1e683> journal. The primary purpose of this post will be to research, monitor and report on the evolution of an emerging field using data science for policy and public good, with the aim of growing the conference and publications in the journal. The post holder will support the Data for Policy project activities based at UCL Computer Science. Depending on their experience and appointment level, they will be expected to conduct and/or contribute to group research efforts, help with the editorial responsibilities of the Data & Policy journal and the organisation of the annual Data for Policy conferences. The funding for this post is for 12 months in the first instance. For further information and to apply for the vacancy please click ‘Apply now’ in this link. <https://dataforpolicy.us9.list-manage.com/track/click?u=0e48a758fb1eccb009ec5c754&id=1179f99b9e&e=5b0bc1e683>