1st Hamburg Workshop on Agent-based Modeling of Environmental Challenges and Climate Policy

10-11 March 2017 in Hamburg, Germany

Nicolas  Stern  (Nature,  2016)  reviews  the  problems  of  using  integrated  assessment  models (IAMs)  in  climate  economics  and  calls  for  a  new  wave  of  models ,  building  on  the advancements  of  agent-based  models  (ABMs):  “ABMs,  by  contrast,  seek  to  provide  more realistic  representations  of  socio-economics  by  simulating  the  economy  through  the interactions  of  a  large  number  of  different  agents,  on  the  basis  of  specific  rules.  ABMs  are widely  used  in  finance,  but  have  yet  to  be  seriously  applied  to  climate  change.  These  are promising developments.” (Stern, Nature, 2016, [1]).

To address these and related issues the workshop aims to bring together PhD students and researchers  working  on  ABMs  of  environmental  challenges  and  climate  policy. Keynote speakers  address major issues of this relationship:  Kristian Lindgren  (Chalmers University of Technology, Gothenburg, Sweden)  provides insights on the complexity of energy systems by agent-based  modeling;  Andrea  Roventini  (Scuola  Superiore  Sant’Anna,  Pisa,  Italy)  shows recent results from an integrated-assessment ABM of climate policy;  and  Klaus G. Troitzsch (Prof. Emeritus) presents a model which tries to understand what happens when political leaders implement climate relevant strategies from different incomplete or counterfactual information. 

[1] Reprinted by permission from Macmillan Publishers Ltd: Stern, Nicholas: Economics: Current climate models are grossly misleading, Nature 530, 407-409 (2016); advance online publication, 25 February 2016 (doi: 10.1038/nature530407a).