@article{HoviSprinzSaelenetal.2019,
  author    = {Hovi, Jon and Sprinz, Detlef F. and Saelen, H{\aa}kon and Underdal, Arild},
  title     = {The Club Approach: A Gateway to Effective Climate Co-operation?},
  series = {British Journal of Political Science},
  volume    = {49},
  journal   = {British Journal of Political Science},
  number    = {3},
  publisher = {Cambridge University Press},
  address   = {New York},
  issn      = {0007-1234},
  doi       = {10.1017/S0007123416000788},
  pages     = {1071 -- 1096},
  year      = {2019},
  abstract  = {Although the Paris Agreement arguably made some progress, interest in supplementary approaches to climate change co-operation persist. This article examines the conditions under which a climate club might emerge and grow. Using agent-based simulations, it shows that even with less than a handful of major actors as initial members, a club can eventually reduce global emissions effectively. To succeed, a club must be initiated by the 'right' constellation of enthusiastic actors, offer sufficiently large incentives for reluctant countries and be reasonably unconstrained by conflicts between members over issues beyond climate change. A climate club is particularly likely to persist and grow if initiated by the United States and the European Union. The combination of club-good benefits and conditional commitments can produce broad participation under many conditions.},
  language  = {en}
}
@article{ToppingAlroeFarrelletal.2015,
  author    = {Topping, Christopher J. and Alroe, Hugo Fjelsted and Farrell, Katharine N. and Grimm, Volker},
  title     = {Per Aspera ad Astra: Through Complex Population Modeling to Predictive Theory},
  series = {The American naturalist : a bi-monthly journal devoted to the advancement and correlation of the biological sciences},
  volume    = {186},
  journal   = {The American naturalist : a bi-monthly journal devoted to the advancement and correlation of the biological sciences},
  number    = {5},
  publisher = {Univ. of Chicago Press},
  address   = {Chicago},
  issn      = {0003-0147},
  doi       = {10.1086/683181},
  pages     = {669 -- 674},
  year      = {2015},
  abstract  = {Population models in ecology are often not good at predictions, even if they are complex and seem to be realistic enough. The reason for this might be that Occam's razor, which is key for minimal models exploring ideas and concepts, has been too uncritically adopted for more realistic models of systems. This can tic models too closely to certain situations, thereby preventing them from predicting the response to new conditions. We therefore advocate a new kind of parsimony to improve the application of Occam's razor. This new parsimony balances two contrasting strategies for avoiding errors in modeling: avoiding inclusion of nonessential factors (false inclusions) and avoiding exclusion of sometimes-important factors (false exclusions). It involves a synthesis of traditional modeling and analysis, used to describe the essentials of mechanistic relationships, with elements that arc included in a model because they have been reported to be or can arguably be assumed to be important under certain conditions. The resulting models should be able to reflect how the internal organization of populations change and thereby generate representations of the novel behavior necessary for complex predictions, including regime shifts.},
  language  = {en}
}