Computing and Climate
Abstract
This guest editors' introduction to the special issue on computing and climate can be viewed as a call to action for the broader computer science community to get involved in this very exciting area of societal importance. Although the issue focuses primarily on data-driven opportunities for computer science contributions, the guest editors hope that future research will broaden this scope.
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Claims the paper makes
Cites
Climate Change 2014 Impacts, Adaptation, and Vulnerability
(IPCC), I. P. O. C. C. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415379 · Cited by 14,874 · see citing works
The Community Earth System Model: A Framework for Collaborative Research
Hurrell, J. W., Holland, M. M., Gent, P. R., Ghan, S. J., Kay, J. E., Kushner, P. J., Lamarque, J., Large, W. G., Lawrence, D. M., Lindsay, K., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-12-00121.1 · Cited by 2,696 · see citing works
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science
Faghmous, J. H., & Kumar, V. (2014) · Big Data · doi:10.1089/big.2014.0026 · Cited by 223 · see citing works
Self-citation
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Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
Karpatne, A., Atluri, G., Faghmous, J. H., Steinbach, M., Banerjee, A., Ganguly, A., Shekhar, S., Samatova, N., & Kumar, V. (2017) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2017.2720168 · Cited by 1,752 · see citing works
Self-citationMachine Learning for the Geosciences: Challenges and Opportunities
Karpatne, A., Ebert‐Uphoff, I., Ravela, S., Babaie, H. A., & Kumar, V. (2019) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2018.2861006 · Cited by 685 · see citing works
Self-citationClimate Smart Computing: A Perspective
Yang, M., Jayaprakash, B., Ghosh, S., Jung, H. T., Eagon, M., Northrop, W. F., & Shekhar, S. (2024) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2025.102019 · Cited by 3 · see citing works
Self-citation
- Authors
- Faghmous, J. H., Kumar, V., & Shekhar, S.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- University of Minnesota (US)
- Venue
- Computing in Science & Engineering
- Published
- 2015-11
- Volume
- 17
- Issue
- 6
- Pages
- 6-8
- ISSN
- 1521-9615 (ISSN-L)
- OpenAlex
- W2124098688
- Cited by
- 4
- References
- 3
- Citations by year
- 2024: 1 · 2019: 1 · 2018: 1 · 2017: 1
- FWCI
- 1.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computing in Science & Engineering (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- climate change, data-driven research, societal impact of computing
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