Data for Policy 2020

The fifth International Data for Policy Conference will take place virtually on the 15th-17th September 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. 

The Programme for the conference is now available.

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.