Participatory Modelling and Simulation to Improve AI-based Public Social Services

Petra Ahrweiler (Prof, Dr) is Full Professor of Sociology of Technology and Innovation, Social Simulation, at Johannes Gutenberg University Mainz, Germany. She was on lien until 2017 to work as Director and CEO at the EA European Academy of Technology and Innovation Assessment in Bad Neuenahr-Ahrweiler, Germany. Previously, she was Full Professor of Technology and Innovation Management at Michael Smurfit School of Business, University College Dublin, Ireland, and Director of its Innovation Research Unit. She was also a research fellow of the Engineering Systems Division at the Massachusetts Institute of Technology. She started her professional career by studying social sciences at the University of Hamburg, Germany. At the Free University Berlin, Germany, she received her PhD for a study on artificial intelligence, and got her habilitation at the University of Bielefeld, Germany, for a study on simulation in Science and Technology Studies. Petra won various research prizes, has long experience in coordinating and completing international, mostly European research projects, publishes inter-disciplinarily in international journals, and has been awarded fellowships of various scientific societies such as the German Academy of Technical Sciences (acatech), and AcademiaNet, the network of excellent female scientists in Germany.Nigel Gilbert is Professor of Sociology at the University of Surrey UK. He is the Director of the ESRC-funded Centre for the Evaluation of Complexity Across the Nexus (CECAN), which develops and tests methods for the evaluation of complex public policies.  A common feature of almost all the projects in which he has been involved is that they are multi-disciplinary and collaborative, bringing together social scientists, public sector and civil society organisations. He is a recognised expert in computational social science with a background in engineering. He was one of the first to use agent-based models in the social sciences, in the early 1990s, and has since published widely on the methodology underlying computer modelling, and on the application of simulation, system dynamics and artificial intelligence for applied and policy related problems such as understanding commercial innovation, managing environmental resources such as energy and water, and supporting public policy decision-making. He was appointed Commander of the Order of the British Empire (CBE) in the Queen’s Birthday Honours of 2016 for services to engineering and the social sciences. He is a Fellow of the Royal Academy of Engineering, a Chartered Engineer, and a Fellow of the Academy of the Social Sciences, the British Computer Society and the Royal Society of Arts. Gilbert was a Pro Vice-Chancellor of the University of Surrey for eight years and now has a Distinguished Chair there.  He has been on the Board of Directors of three start-up companies and has founded two successful academic journals. He is also the founder and Director of CECAN Ltd, a spin-off from the research centre.

• Chapter 1. Participatory Artificial Intelligence in Public Social Services: Modelling for Policy and Practice.- Part I: Agent-based Models for Social Services Assessment.- Chapter 2. Agent-Based Modelling for Context-Aware AI Systems: Reflections from AI FORA.- Chapter 3. Modelling Together for AI-based Social Services.- Chapter 4. Using Agent-Based Modelling to explore possible implications of AI use in the asylum procedure in Germany.- Chapter 5. Gamifying Fairness: Exploring Algorithmic Decision-Making in Estonia’s Welfare System.- Chapter 6. Targeted Subsidies Plan: An Agent-Based Modeling Approach.-Chapter 7. Agent-Based Modelling of the Indian Public Distribution System in AI FORA.- Part I: Policy Modelling for Policy Practice.- Chapter 8. Policy Learnings and Policy Change for AI-based Social Services.- Chapter 9. Policy Perspectives on AI Use for Asylum-Related Assessment Processes in Germany.- Chapter 10. Bridging Data and Policy: Disseminating Scientific Insights in Estonia’s AI-Driven Welfare Governance.- Chapter 11. Translating Evidence to Practice - A Trojan Horse Approach.- Part III: Looking to the Future.- Chapter 12. Better AI for Public Good: Participatory Modelling and Simulation in Social Services.- Chapter 13. How Participatory Modeling Can Enable Collective Bias Mitigation when AI is Used Across Systems and Institutions.- Chapter 14. Transferring the AI FORA Approach to another Domain: Participatory AI for Climate.- Chapter 15. Collaborative Creativity in Extended Realities Findings from Co-Creative Design Sessions in Augmented and Virtual Reality.- Chapter 16. Participatory Modelling for ‘Better AI’.