Datafication of Climate Change: From Prediction to Participation

TY - GEN

T1 - Datafication of Climate Change

T2 - 6th Decennial Aarhus Conference on Computing X Crisis, AAR 2025

AU - Martin, Anya

AU - Liu, Jen

AU - Paudel, Shreyasha

AU - Jensen, Rikke Hagensby

AU - Smith, Rachel Charlotte

AU - Bardzell, Shaowen

AU - Soden, Robert

AU - Lin, Cindy Kaiying

PY - 2025/8/30

Y1 - 2025/8/30

N2 - How is the climate crisis mediated by data? In this one-day hybrid workshop, we will gather an interdisciplinary group of critical computing scholars and practitioners examining and practising the different ways that climate change is becoming datafied. The datafication of climate change refers to the collection, analysis, and representation of data to inform decision-making around strategies for the prevention, mitigation, or adaptation to the impacts of climate change. While increased use of data promises to keep powerful actors accountable for their actions and enable targeted decision making necessary for policy analysis, there are challenges regarding how and what kinds of data are being used and for whom. Furthermore, the increased data usage also entails environmental impacts, such as the rising energy consumption, which may contradict the intended goals behind datafication in the first place. In this workshop, we aim to map the climate data pipeline, based on presentations by participants on their current research in relation to the data lifecycle (e.g. cleaning, storing, analysis, scraping, etc.) with a tentative output of a written publication in ACM interactions magazine.

AB - How is the climate crisis mediated by data? In this one-day hybrid workshop, we will gather an interdisciplinary group of critical computing scholars and practitioners examining and practising the different ways that climate change is becoming datafied. The datafication of climate change refers to the collection, analysis, and representation of data to inform decision-making around strategies for the prevention, mitigation, or adaptation to the impacts of climate change. While increased use of data promises to keep powerful actors accountable for their actions and enable targeted decision making necessary for policy analysis, there are challenges regarding how and what kinds of data are being used and for whom. Furthermore, the increased data usage also entails environmental impacts, such as the rising energy consumption, which may contradict the intended goals behind datafication in the first place. In this workshop, we aim to map the climate data pipeline, based on presentations by participants on their current research in relation to the data lifecycle (e.g. cleaning, storing, analysis, scraping, etc.) with a tentative output of a written publication in ACM interactions magazine.

KW - participation

KW - prediction

KW - climate change

KW - datafication

UR - https://www.scopus.com/pages/publications/105016599281

U2 - 10.1145/3737609.3747099

DO - 10.1145/3737609.3747099

M3 - Article in proceedings

SP - 1

EP - 4

BT - Adjunct proceedings of the sixth decennial Aarhus conference: Computing X Crisis (AAR Adjunct 2025)

PB - Association for Computing Machinery

Y2 - 18 August 2025 through 22 August 2025

ER -