Skip to content

Call for peers - Peer review - Province of West Flanders, Belgium

Rethinking public governance for the age of AI

Interreg Europe Policy Learning Platform
Date of peer review: Date: 21-22 April (tentative)
Onsite in West Flanders
Disclaimer on Personal Data Collection:
In order to comply with article 125 of regulation (EU) No 1303/2013 (Common Provisions Regulation), the Interreg Europe Policy Learning Platform is using the present survey to collect information for the purpose of preparing and implementing the expert support service of interregional onsite peer reviews. The data will be stored securely. The results of this survey will be accessed by the Policy Learning Platform team. For any further information or if you wish to exercise your right to access and / or correct your personal data, please contact us at policylearning@ext-interregeurope.eu
1.Email adress(Required.)
2.Your name(Required.)
3.Your organisation (Name, Region, Country)(Required.)
4.Your position(Required.)
5.Your Interreg Europe Project Acronym (if any)
6.Your LinkedIn profile
7.Your phone number(Required.)
8.Please describe your experience redesigning public policy-making or decision-making processes and organisational structures in response to AI-driven change. Give a concrete example.(Required.)
9.What experience do you have using strategic foresight to prepare public administrations for AI-related changes? Please also describe relevant work on the evolving roles and competences of public servants, managers or decision-makers.(Required.)
10.What experience can you share on adapting subsidy schemes, application procedures or evaluation systems to the growing use of AI? Please describe approaches to reducing administrative burden, assessing the substance and impact of proposals, and maintaining fair, transparent and accountable evaluation.(Required.)
11.Please rate your knowledge on the following dimensions: ( “none”, “low”, “fair”, “good” or “excellent”)(Required.)
None
Low
Fair
Good
Excellent
Redesigning policy-making and decision-making processes in response to AI
Organisational structures and governance for AI adoption in public administrations
Strategic foresight on the future of public administration
Workforce development and management of organisational change
Redesigning subsidy schemes and funding application processes
AI-supported evaluation and results-oriented funding mechanisms
Human oversight, accountability, transparency and public trust