We are open to papers that contribute to, but need not be limited by the above questions.
Abstracts of 250 words should be submitted to email@example.com and firstname.lastname@example.org for consideration by October 17th, 2018. Participants will be notified by October 19th if their paper has been accepted. They will then need to register for the AAG conference and provide their PIN to the organisers by October 25th in order to be included in the panel.;
This session is interested in knowledge politics at the intersection of algorithms and climate change governance. While algorithms have been central to climate modelling - as well to how mitigation and adaptation strategies are evaluated - relatively little attention to date has been directed towards the political implications of knowing, acting on and governing climate change through an algorithmic register (cf. Hulme 2011). Popular and scientific attention has instead tended to focus on practical questions around improving model design, applying geospatial technologies and developing robotic and remote sensing. As part of an increasing attention to the digital within human geography (Ash, Kitchin, and Leszczynski 2018), scholars have highlighted the political work of interfaces (Ash et al 2018), platforms (Srnicek 2017), sensors (Gabrys 2015, 2016), urban operating systems (Marvin and Luque-Ayala 2017), biometrics (Amoore 2006, 2009, 2011), data visualisations (Boehnert 2016) and code (Nost 2015). Contributing to this critical engagement with digital forms, this session turns attention to algorithmic knowledge politics within climate governance. To this end, we encourage empirical, theoretical and critical papers that engage with one or more of the following questions:
- What does it mean to know climate change through an algorithmic register? What kinds of knowledge are afforded?
- In what ways do algorithms extend, short-circuit and otherwise modify existing knowledge chains? Who authors, maintains, and evaluates algorithms and their outputs? What implications arise through translating knowledge in-and-out of digital language and/or binary decision structures?
- What kinds of decisions, actions or interventions are made possible or occluded through algorithmic means?
- What are the limits to calculating climate and situating predicted changes within concrete political, economic, and social contexts? With what implications for climate governance and justice?
- What similarities and differences in algorithmic climate knowledge politics are there across cases?
|Presenter||Dylan M Harris*, Clark University, The Trouble with Modeling the Human into the Future Climate||20|
|Presenter||Jude Ntabathia*, , Invisible Labor in Weather and Climate Infrastructures by Citizen Weather Observers||20|
|Presenter||J. Michael Athay*, Clark University, Conceptions of Climate Change: Conversations with U.S. Conservatives||20|
|Presenter||Kristy Myles*, University of Calgary, Gwendolyn Blue, University of Calgary, Developing biotechnologies as an anticipatory response to challenges posed by climate change: Whose knowledge counts?||20|
|Discussant||James Ash Newcastle University||10|
|Discussant||Karen Bakker University of British Columbia||10|
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