Session on Behavioral Solutions for Evidence-based Decision-making
Maxime Stauffer, GSPI's science-policy officer, made a presentation on behavioral solutions for evidence-based decision-making.In the context of a crisis such as COVID-19, more than 100,000 scientific papers were published in ~12 months. Similarly in the context of the 2030 development agenda, decision-makers who need to make informed decisions on complex problems under time constraints face the problem of sorting through a vast range of information sources of varying quality.
This challenge, therefore, begs the following question: how can decision-makers deal with information overload in the face of uncertainty?This session segment built on behavioral science to equip participants with cognitive tools to effectively filter information, navigate interconnectedness and learn from their decisions.Maxime's presentation offered the opportunity to launch a brand new guide published by the GSPI and SI, entitled 'A Very Short Guide to Decision-Making on Wicked Problems'. A preliminary version of the guide can be found at this link.
Recording of the event
Introduction to overall concept + aims
Part I: Tools and Resources for Evidence Based Decision-Making (75 minutes in total)
Thinking Beyond GDP - IISD
From Fragilities to Resilience: Tools for Sustainable, Just, and Transformed Economies – WBA, UNRISD, GRI, UNCTAD, FEMNET
Leveraging the use of geospatial information technology and satellite data to strengthen evidence-based decision making for sustainable, climate-resilient and inclusive development - UNITAR-UNOSAT & UK Space Agency
Part II: Behavioral Solutions for Evidence-based Decision-making - Geneva Science-Policy Interface & Simon Institute for Longterm Governance
Overal session partners:
International Institute for Sustainable Development
World Benchmarking Alliance
UK Space Agency
Geneva Science-Policy Interface
Simon Institute for Longterm Governance
UN Global Compact
Danish Institute for Human Rights
Women’s Major Group
Global Reporting Initiative
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