Paul N. Edwards, A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming

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Professional development design considerations in climate change education: teacher enactment and student learning (2018, background): “Climate change theory is a global scientific idea that is caused by and manifests in the daily actions of individuals working together as a collective (Edwards, 2010).”
Why Solar Radiation Management Geoengineering and Democracy Won't Mix (2013, background): “What Paul Edwards (2010) calls the ‘vast machine’ of computer models, meteorological monitoring instruments, and scientific protocols which constitute weather and climate as objects of knowledge would also be likely to become even more politicised than it is at present.”
The conundrum of sharing research data (2012, background): “Observations of the “real world” are data to experimentalists, while theoreticians often consider the simulated observations that are output from models to be their data (Edwards, 2010; Wynholds et al., 2011).”
Data and its (dis)contents: A survey of dataset development and use in machine learning research (2020, background): “Science and technology scholars have considered the potential incompatibilities and reconstructions needed in using data from one domain in another [Edwards, 2013].”