InSIS Seminar Series HT 2019

InSIS Seminar Series HT 2019

Models and simulations have long been an indispensable instrument in science and policy. Without models we would be unable to imagine the impact of climate change, understand our financial systems, or design new physical infrastructures, to name some obvious examples. Today, experiments are often carried out in silico, and in many scientific disciplines muddy boots are being replaced by computational models. As models become a dominant form of knowledge, they shape policy-making across a multitude of domains: evidence-based decision-making increasingly means model-based decision-making.

This reliance on models and simulation brings forth new powers of anticipation, but also new vulnerabilities. What impact is the rise of modelling having on the very nature of research questions and projects being pursued in the sciences? How is simulation changing the nature of scientific evidence and claims to truth, and what does this mean for quality control and public policy? This seminar series will explore the role of modelling in contemporary science and policy, looking across domains and offering a comparative perspective on the power and limitations of modelling truths.

15 Jan Myles Allen (University of Oxford)
Lessons from the IPCC Special Report on 1.5 degrees: the science communication and policy challenges of hyper-ambitious mitigation

22 Jan Philip Inglesant (University of Oxford)
Quantum Computing and Simulation: A Responsible Innovation

29 Jan Monika Krause (London School of Economics)
Model Cases: Canonical Research Objects in the Social Sciences

5 Feb Oliver Geden (German Institute for International and Security Affairs
Why is time always (never) running out in climate policy?

12 Feb Wendy Parker (University of Durham)
Model Evaluation - An adequacy-for-purpose view

19 Feb Myanna Lahsen (University of Wageningen)
Science for Future Earth

26 Feb Taylor Spears (University of Edinburgh)
The LIBOR Market and its Models: The Emergence of the Interest Rate Derivatives ‘Quant’ Profession and its Modelling Practices

4 Mar Dan Sarewitz (Arizona State University)*
The Science of Modeling Through

18 Mar Jeroen van der Sluijs (University of Bergen)* Critical appraisal of assumptions in model-based scientific assessment

* this seminar will take place on Monday

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