An IAM Module for a Future Syllabus

This is simply for my own future use, perhaps in a future graduate seminar. Feel free to suggest additions in the comments, which I will use to update. These are intended to be key articles about the history, roles and impacts of integrated assessment models in energy and climate science and policy. The point is not to be comprehensive, but to curate a manageable set of articles that well describe current debates on the use/misuse of IAMs, and the background necessary to place those debates into historical, intellectual and political context.

Updated 1 June 2021

Haikola, S., Anshelm, J., & Hansson, A. (2021). Limits to climate action-Narratives of bioenergy with carbon capture and storagePolitical Geography88, 102416.

Pielke Jr, R., & Ritchie, J. (2021). Distorting the view of our climate future: The misuse and abuse of climate pathways and scenariosEnergy Research & Social Science72, 101890.

van Beek, L., Hajer, M., Pelzer, P., van Vuuren, D., & Cassen, C. (2020). Anticipating futures through models: the rise of Integrated Assessment Modelling in the climate science-policy interface since 1970Global Environmental Change65, 102191.

Cointe, B., Cassen, C., & Nadai, A. (2019). Organising policy-relevant knowledge for climate action: Integrated assessment modelling, the IPCC, and the emergence of a collective expertise on socioeconomic emission scenariosScience & Technology Studies.

Gambhir, A., Butnar, I., Li, P. H., Smith, P., & Strachan, N. (2019). A review of criticisms of integrated assessment models and proposed approaches to address these, through the lens of BECCSEnergies12(9), 1747.

Beck, M. (2018). Telling stories with models and making policy with stories: an explorationClimate Policy18(7), 928-941.

Ritchie, J., & Dowlatabadi, H. (2018). Defining climate change scenario characteristics with a phase space of cumulative primary energy and carbon intensityEnvironmental Research Letters13(2), 024012.

Pielke, Jr., R. (2018). Opening up the climate policy envelopeIssues in Science and Technology34(4), 30-36.

Randalls, S. (2010). History of the 2 C climate targetWiley Interdisciplinary Reviews: Climate Change1(4), 598-605.

Vieille Blanchard, E. (2010). Modelling the future: an overview of the ‘Limits to growth’debateCentaurus52(2), 91-116.

Girod, B., Wiek, A., Mieg, H., & Hulme, M. (2009). The evolution of the IPCC’s emissions scenariosEnvironmental science & policy12(2), 103-118.

Pulver, S., & VanDeveer, S. D. (2009). “Thinking about tomorrows”: scenarios, global environmental politics, and social science scholarshipGlobal Environmental Politics9(2), 1-13.

Morgan, M. G., & Keith, D. W. (2008). Improving the way we think about projecting future energy use and emissions of carbon dioxideClimatic Change90(3), 189-215.

Robinson, J. B. (1990). Futures under glass: a recipe for people who hate to predictFutures22(8), 820-842.

This UKAD storm could put Great Britain alongside Russia in the rogues gallery of rule breakers

Elite sport can sound like an alphabet soup of organisations – WADA, NADO, UKAD, NGB, and on – but what these bodies do, and how they conduct themselves, is vital to the integrity of sport.

That the World Anti-Doping Agency are now investigating a NADO (a national anti-doping organisation, in this case, UK Anti-Doping Agency) for letting a National Governing Body (British Cycling) do their own anti-doping probes and tests before London 2012 is a big deal. . .

Read it all here

Disaster Normalization Literature Review: Continued

Earlier this year a paper of mine was published that review more than 50 studies that employ “normalization” methodologies to assess disaster losses over time.

Pielke, R. (2020). Economic ‘normalisation’ of disaster losses 1998–2020: a literature review and assessmentEnvironmental Hazards, 1-19.

Here I will continue to track literature that has been published since my review was completed.

Sajjad, M., & Chan, J. C. (2020). Tropical Cyclone Impacts on Cities: A Case of Hong KongFrontiers in Built Environment6, 172.

“It is important to note that through there is a significant increase in the TC-related non-normalized damages (95% confidence), this trend becomes insignificant after normalizing the damages with the corresponding years GDP. This finding is in line with the existing literature . . .”