Travis Coan

Senior Lecturer, University of Exeter

Dr Coan is Senior Lecturer at Exeter’s Q-Step Centre for quantitative social sciences. His empirical work chiefly focuses on climate change communication and political extremism and has been published in journals such as Political Psychology, ISQ, or Global Environmental Change, and has been used by a range of prominent political actors from the UK and the US. His research develops advanced skills with data collection and organization, statistical analysis, and computational research methods.

Personal webpage

Recent publications

Constantine Boussalis and Travis G. Coan. 2016. \Text-mining the signals of climate change doubt.” Global Environmental Change 36(2016): 89-100.
Mark Abdollahian, Zining Yang, Travis G. Coan, and Birol Yesilada. 2014. \Human Development Dynamics: an Agent Based Simulation of Macro Social Systems and Individual Heterogeneous Evolutionary Games.” Forthcoming in Complex Adaptive Systems Modeling.
I. Glenn Cohen and Travis G. Coan. 2013 \Can You Buy Sperm Donor Identi_cation? An Experiment.” Journal of Empirical Legal Studies 10(4):716-741.
Mark Abdollahian, Travis G. Coan, Hana Oh, and Birol Yesilada. 2012. \Dynamics of Cultural Change: the Human Development Perspective.” International Studies Quarterly: 1-17.
Travis G. Coan and Tadeusz Kugler. 2012. \Foreign Direct Investment Is Local: Indian Provincial Politics and the Attraction of FDI.” South Asia Economic Journal, 13: 27-50.

More from Travis…

Computer-Assisted Analysis of Extremist Online Content

Computer-Assisted Analysis of Extremist Online Content by CREST researchers Stephane Baele, Dr Katharine Boyd, Dr Travis Coan. This poster presents the research from this CREST...Read More »

Text Mining Islamic State’s Online Propaganda

Text Mining Islamic State’s Online Propaganda by CREST Researchers Stephane Baele, Katharine Boyd and Travis Coan. The poster presents their research on how Islamic...Read More »

Extremist Prose as Networks

Stephane Baele, Katharine Boyd, and Travis Coan look at using Co-occurrence Networks to Monitor Extremist Communications A well-developed body of research demonstrates that network...Read More »

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