Evidence-Based Solutions for Intensifying Global Challenges

24.06.2022 – 25.06.2022

The Geneva Science-Policy Interface is organising three sessions within the framework of the Academic Council of the United Nations System (ACUNS) Annual Meeting.

Lieu

Bâtiment: IHEID

Geneva Graduate Institute & online

Organisé par

Geneva Science Interface

entrée libre

Classement

Catégorie: Conférence

Sous-événements

Bridging the divide: Science-Policy collaboration to support the uptake of research by policymakers

24.06.2022 13:00 – 14:30

Rigorous research, data and analysis are key to enhancing policy officials’ understanding of migration as a complex phenomenon. This session will feature the launch of a new digital toolkit tailored for busy policy officers based upon the contents of the World Migration Report and developed through a new collaboration between the Geneva Science-Policy Interface (GSPI), the International Organization of Migration (IOM) and the Geneva Graduate Institute.

Connecting science to policy to tackle global challenges: the role of Boundary-Spanners in the UN system

24.06.2022 15:00 – 16:30

The contribution of science to global governance is critical and institutional arrangements to facilitate this relationship have increased over the past few years. As much as policy action needs evidence, science-policy engagement can be a complex and daunting process. This session will shed light on the specific practice of science-policy boundary-spanning by showcasing and discussing practical examples in this field, from both academia and policy, and all things related to the UN system.

TTX-P Simulation exercise

25.06.2022 14:30 – 14:50

Strengthening science-policy capacity to mitigate global risks is difficult, namely in aligning research directions and timelines with policy needs. TTX-P is a simulation exercise aimed at getting scientists and policy actors to think and act outside of their usual frames of reference. It focuses on the general science policy and decision-making problems that hinder global risk reduction.