Data for Policy 2020
Call for Papers
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:
- Data Quality and Development Policy
- ‘For good measure’: The challenges of quantifying complex problems for policymaking
- Data Governance for Innovation for Sustainable Smart Cities: Opportunities and Challenges
- Data Governance in the Public Interest
- Data Quality and Development Policy
- Data technologies and governance frameworks used for gathering, storing, managing, processing, analyzing and sharing data in the public administrations
- Documenting Data and Data Science: Surfacing Data Processes and Practices
- Harnessing Data and Science to Achieve the Sustainable Development Goals
- Re-using data to address COVID-19 and Pandemics
Dissemination options: Contributions 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, 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, the open access journal launched in collaboration with Cambridge University Press (CUP). As outlined on the website the journal considers several article types: 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 overseen by the Editorial Board. 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.