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Peer-reviewedCC BY 4.0Proceedings of the National Academy of Sciences of the United States of America

Exploring data science as a tool to advance linked socioecological systems in the context of climate change

  • Kathryn Grace1,2
  • Peter B. Reich3,4
  • Arun Agrawal5
  • Molly E. Brown6
6 affiliations
  1. 1Department of Statistics and Applied Probability, University of California, Santa Barbara, CA 93106
  2. 2Department of Geography, University of California, Santa Barbara, CA 93106
  3. 3Institute for Global Change Biology and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109
  4. 4Department of Forest Resources, University of Minnesota, St. Paul, MN 55108
  5. 5Keough School of Global Affairs, University of Notre Dame, South Bend, IN 46556
  6. 6Department of Geographical Sciences, University of Maryland, College Park, MD 20742
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Cite

BibTeXRIS
BibTeX
@article{grace2026exploring,
  title = {{Exploring data science as a tool to advance linked socioecological systems in the context of climate change}},
  author = {Kathryn Grace and Peter B. Reich and Arun Agrawal and Molly E. Brown},
  journal = {Proceedings of the National Academy of Sciences of the United States of America},
  year = {2026},
  month = oct,
  doi = {10.1073/pnas.2321149123},
  url = {https://doi.org/10.1073/pnas.2321149123},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Exploring data science as a tool to advance linked socioecological systems in the context of climate change
AU  - Kathryn Grace
AU  - Peter B. Reich
AU  - Arun Agrawal
AU  - Molly E. Brown
PY  - 2026
DA  - 2026/10/26
JO  - Proceedings of the National Academy of Sciences of the United States of America
DO  - 10.1073/pnas.2321149123
UR  - https://doi.org/10.1073/pnas.2321149123
SN  - 0027-8424
SN  - 1091-6490
ER  -