The Alan Turing Institute's Data Challenge: Policy Priorities & AI for SDGs

More information: https://www.eventsforce.net/turingevents/297/home

This event will gather up to 12 teams from around the world to engage in a challenge using open spending data, development indicators, and the recently released web-based modelling app from the Policy Priority Inference research programme. The organisers would like to invite anyone interested in the intersection of sustainable development, artificial intelligence, open government, and computational social science to attend this one-of-a-kind event. The opening and closing sessions will be open to the public (no need to have team), while the challenger teams will work on a case study for a week with mentorship facilitated by the organisers.

If you are interested in this event but cannot or do not want to take on the challenge, you can register as an attendee to participate in the opening and closing sessions. During these sessions, our expert panellists will engage in insightful discussions on the role of artificial intelligence to advance open government and sustainable development.

PPI aims at modelling the causal link between government expenditure and policy outcomes while accounting for the multidimensionality and complexity of development. It employs computational methods to overcome the limitations of coarse-grained data on development indicators and public spending. One of PPI’s main outputs is an analytic tool that helps governments measure the impact of public expenditure on development outcomes. It supports evidence-based decision-making in an environment characterised by budget constraints, concurrent and competing targets, multidimensional development, imperfect governance, and context-specific interdependencies between policy issues. This tool uses a specific type of artificial intelligence called agent computing (or agent-based modelling), which allows modelling socioeconomic agents and their decision- making processes, providing a transparent alternative to black-box approaches. 

Register Here

There are two ways of registering:

• As an attendee: For those who want to attend the opening and closing sessions of the event, but who DO NOT want to take part of the challenge.

• As part of a challenger team: For those who want to take part of the challenge (and attend the opening and closing events). When you register as part of a team, make sure that your teammates also do. Each team must have a minimum of 3 and a maximum of 4 members. Teams that do not meet these criteria will not be considered for the challenge. Even if your team is not selected for the challenge, all its members will remain registered for the opening and closing sessions of the event. Make sure that each member registers individually and declares the name of the team.