Understanding the uses of mathematical models in policy-making (MODEL-POL)

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MODEL-POL: Understanding the uses of mathematical models in policymaking

Modeling has become a dominant form of research in many scientific disciplines, and an indispensable tool across virtually all domains of policy-making. Models are critical to our ability to comprehend, anticipate, and intervene into complex phenomena, from climate dynamics to financial markets. At the same time, models introduce particular forms of uncertainty and risk into decision-making process, and redistribute the balance of power among relevant constituencies.

 

MODEL-POL brings together social scientists researching the development and use of models across a variety of scientific and policy domains. It seeks to advance social-scientific understandings of models in action, and to engage with modelers from a variety of disciplines and policy areas in the development of socially reflexive modeling practices.

 

The collaboration includes researchers at the University of Oxford (Javier Lezaun), Humboldt University of Berlin (Jörg Niewöhner), the Institute for Advanced Sustainability Studies (Stefan Schäfer), Technische Universität Berlin (Jan-Peter Voß), and the German Institute for International and Security Affairs (Oliver Geden).

 

MODEL-POL is funded by the Oxford-Berlin Research Partnership [http://www.ox.ac.uk/about/international-oxford/oxford-berlin-research-pa...

 

MODEL-POL Workshop - Berlin October 24-25 2019

The purpose of the meeting is to share case studies from a variety of political and epistemic contexts, and to develop a shared analytical framework for studying the role of scientific models in policy-making and political debate. The meeting is sponsored by the Oxford-Berlin Research Partnership.  Workshop Programme

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