Data for Policy 2024 – Decoding the Future: Trustworthy Governance with AI?
Data for Policy CIC is delighted to work in collaboration with Imperial Policy Forum and Cambridge University Press for the eighth edition of our premier conference series, to be held at Imperial College London from July 9th to 11th, 2024.
In an era marked by the pervasive influence of data-driven AI tools, the conference will bring together global experts from academia, industry and policy to explore how AI can foster trustworthy decision-making and governance.
We are thrilled by the overwhelming response to our Call for Contributions, with a plethora of high-quality submissions pouring in from around the world. Following a rigorous review process, we have curated an engaging programme comprising approximately 150 presentations over three days for this year’s conference.
The final programme will feature a dynamic blend of peer-reviewed expert contributions and thought-provoking debates, offering insights into the operational and technical paradigms of human-machine collaboration in decision-making and governance. Our discussions will traverse the realms of ‘tool AI,’ ‘agent AI,’ and the ‘regulation of AI,’ fostering a comprehensive outlook on the future of critical decision-making, while addressing the myriad opportunities and challenges posed by AI-driven transformations.
Featured participants of this year’s conference include:
- Professor Dame Angela McLean DBE FRS (tbc), UK Government Chief Scientific Adviser
- Jennifer Prendki, Google DeepMind
- Russell Wald, Stanford Human-Centred Artificial Intelligence (HAI)
- Lord Holmes of Richmond, House of Lords, UK
- Aldo Faisal, Imperial College and The Alan Turing Institute
- Joel Martin, National Research Council Canada
- Masaru Yarime, Hong Kong University of Science and Technology (HKUST)
- Stefaan Verhulst, GovLab, New York University (NYU)
- Gianluca Misuraca, AI4Gov, Universidad Politécnica de Madrid, Spain
- Jon Crowcroft, University of Cambridge and The Alan Turing Institute
- Barbara Ubaldi, OECD – Organisation for Economic Co-operation and Development
- Tyrone Grandison, Microsoft
- Ian Hogarth (tbc), Chair of the UK Government’s AI Foundation Model Taskforce
- Merve Hickok, Centre for AI and Digital Policy (CAIDP)
- Andrea Renda, Centre for European Policy Studies (CEPS)
- Friederike Schüür, UNICEF – United Nations Children’s Fund
- Maria Perez Ortiz, University College London (UCL)
- Rossella Arcucci, Imperial College London
- Roberta Boscolo, World Meteorological Organization (WMO)
- Massimo Bonavita, ECMWF – European Centre for Medium-Range Weather Forecasts
- Sonia Cooper, Open Innovation Team at Microsoft
- Gina Neff, Minderoo Centre for Technology & Democracy, University of Cambridge
- Elena Simperl, Open Data Institute
- Torbjörn Fredriksson, UN Trade & Development
- Dorothea Kleine, University of Sheffield
- David Hand, Imperial College London
- Rachel Adams , Research ICT Africa
- Jane Mariara, Partnership for Economic Policy (PEP-NET)
- Samia Melhem, The World Bank
- Peter Quartey, University of Ghana
- Joshua Ariga, Bill & Melinda Gates Foundation
- Roger Scott-Douglas, National Research Council of Canada
- Mark Kennedy, Imperial College London
- Innar Liiv, Tallinn University of Technology, Estonia
- Francesco Mureddu, The Lisbon Council
- Yves-Alexandre de Montjoye, Imperial College London
More details of the conference programme will be announced on this space – please also consider subscribing to our mailing list if you’d like to receive regular updates from us.
To register, please visit this page.
We look forward to seeing you in London at Data for Policy 2024!