{
  "abstract": null,
  "abstract_shown": false,
  "affiliations": [
    "Department of Statistics and Applied Probability, University of California, Santa Barbara, CA 93106",
    "Department of Geography, University of California, Santa Barbara, CA 93106",
    "Institute for Global Change Biology and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109",
    "Department of Forest Resources, University of Minnesota, St. Paul, MN 55108",
    "Keough School of Global Affairs, University of Notre Dame, South Bend, IN 46556",
    "Department of Geographical Sciences, University of Maryland, College Park, MD 20742"
  ],
  "article_type": "introduction",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Kathryn Grace",
      "orcid": "0000-0003-4822-6183"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "Peter B. Reich",
      "orcid": "0000-0003-4424-662X"
    },
    {
      "affs": [
        4
      ],
      "name": "Arun Agrawal",
      "orcid": "0000-0001-6796-2958"
    },
    {
      "affs": [
        5
      ],
      "name": "Molly E. Brown",
      "orcid": "0000-0001-7384-3314"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/cbvbaff9nddq8.bib",
  "cited_by": 0,
  "doi": "10.1073/pnas.2321149123",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13732250/",
  "id": "cbvbaff9nddq8",
  "issns": [
    "0027-8424",
    "1091-6490"
  ],
  "landing_url": "https://doi.org/10.1073/pnas.2321149123",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "444"
    ],
    [
      "heading",
      "572"
    ],
    [
      "heading",
      "9"
    ],
    [
      "heading",
      "Social Sciences"
    ],
    [
      "heading",
      "Sustainability Science"
    ],
    [
      "openalex",
      "2306|Land Use and Ecosystem Services"
    ]
  ],
  "openalex": "W7223661378",
  "pdf_url": null,
  "pmcid": "PMC13732250",
  "pmid": "42932660",
  "published": "2026-10-26",
  "publisher": "National Academy of Sciences",
  "ris": "https://research.draconitic.com/paper/cbvbaff9nddq8.ris",
  "sources": [
    {
      "first_seen": "2026-11-08T12:22:16Z",
      "native_id": "PMC13732250",
      "source": "pmc",
      "url": "https://doi.org/10.1073/pnas.2321149123"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:2306|Land Use and Ecosystem Services",
      "subfield": "climate"
    }
  ],
  "title": "Exploring data science as a tool to advance linked socioecological systems in the context of climate change",
  "title_text": "Exploring data science as a tool to advance linked socioecological systems in the context of climate change",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T12:22:16Z",
  "url": "https://research.draconitic.com/paper/cbvbaff9nddq8",
  "venue": "Proceedings of the National Academy of Sciences of the United States of America",
  "versions": []
}