Data for Policy 2022 conference highlights “Ecosystems of innovation and virtual-physical interactions” as its theme. 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. Its associated journal, Data & Policy, published by Cambridge University Press has quickly established itself as a major venue for publishing research in the field of data-policy interactions.
Specifically, DECIDO will be presented within the scope of a panel entitled Data usage improving public policies and policymaking and convened by the Data Driven Policy Cluster comprising the pan-European projects AI4PublicPolicy, DECIDO, Intelcomp, DUET and Policy Cloud, dedicated to using cloud for data-driven policy and exploring major challenges, trends and opportunities to improve public sector decision making that will deliver healthier, happier places to live and work.
The panel stems from the following challenge: the convergence of Cloud, Big Data and AI has already resulted in major transformation across Government services, yet the process of policy making itself is often left behind. Digital technologies have changed the world. Today people expect faster, seamless, on-demand services from their providers, and government is no exception. For effective urban operations which make life easier for residents, workers and visitors, public sector decision making needs to become more agile. Breaking down data silos to combine day-to-day tactical decisions with longer term policies and strategies. Disruptive technologies such as Digital Twins, Artificial Intelligence (AI) and High Performance Computing (HPC) unlock new opportunities for sustainable decision making through visualisations, simulations and predictions that enhance transparency, increase public support and involvement, and optimise resources.
In that respect, the discussion will dive deep into data usage advancing policy making and the policymaking lifecycle across the cluster projects. This will be done by addressing pillar activities and mapping commonalities:
1.Cross-domain data usage
2.Policy prediction tools
3.Co-creation for evidence based policymaking
4.Incentives management and envisioned impact
The Data Driven Policy Cluster will illustrate the implementation and impact of their tools and methods in a number of pilots, and validate the presented solutions with the Data for Policy audience of researchers and policymakers.
The discussion will take stock of how each project in the Data Driven Policy Cluster boosts evidence based policymaking, lessons learned from implementation, feedback from the Data for Policy audience and finally work towards the definition of shared recommendations for potential cross project and cross-pilot data usage.