[
    {
        "id": "authors:j8cnw-s7v86",
        "collection": "authors",
        "collection_id": "j8cnw-s7v86",
        "cite_using_url": "https://authors.library.caltech.edu/records/j8cnw-s7v86",
        "type": "article",
        "title": "Using markets to adapt to climate change",
        "author": [
            {
                "family_name": "Greenhill",
                "given_name": "Simon"
            },
            {
                "family_name": "Hsiang",
                "given_name": "Solomon"
            },
            {
                "family_name": "Balboni",
                "given_name": "Clare"
            },
            {
                "family_name": "Barrage",
                "given_name": "Lint"
            },
            {
                "family_name": "Bolliger",
                "given_name": "Ian W."
            },
            {
                "family_name": "Boomhower",
                "given_name": "Judson"
            },
            {
                "family_name": "Diaz",
                "given_name": "Delavane"
            },
            {
                "family_name": "Druckenmiller",
                "given_name": "Hannah",
                "orcid": "0000-0003-4605-1172",
                "clpid": "Druckenmiller-Hannah"
            },
            {
                "family_name": "Garg",
                "given_name": "Teevrat"
            },
            {
                "family_name": "Hino",
                "given_name": "Miyuki"
            },
            {
                "family_name": "Hong",
                "given_name": "Harrison"
            },
            {
                "family_name": "Kousky",
                "given_name": "Carolyn"
            },
            {
                "family_name": "Martinich",
                "given_name": "Jeremy"
            },
            {
                "family_name": "Nath",
                "given_name": "Ishan"
            },
            {
                "family_name": "Oremus",
                "given_name": "Kimberly L."
            },
            {
                "family_name": "Park",
                "given_name": "R. Jisung"
            },
            {
                "family_name": "Phan",
                "given_name": "Toan"
            },
            {
                "family_name": "Proctor",
                "given_name": "Jonathan"
            },
            {
                "family_name": "Rafey",
                "given_name": "Will"
            },
            {
                "family_name": "Sarofim",
                "given_name": "Marcus C."
            },
            {
                "family_name": "Schlenker",
                "given_name": "Wolfram"
            },
            {
                "family_name": "Simon",
                "given_name": "Benjamin"
            }
        ],
        "abstract": "<div>Research shows if and when markets can help limit the harms from climate change. Even under the most ambitious greenhouse gas emissions mitigation scenarios, climate change will continue to affect human well-being for generations, with the severity of these impacts differing across mitigation pathways. Adapting to climate change is thus a necessary complement to mitigation. Because individuals, businesses, and communities benefit directly from their adaptation choices, the incentives they face as individuals to adapt are generally stronger than the incentives they face to mitigate emissions. Yet evidence to date suggests that communities are not systematically adapting to recent climate changes (<em><a href=\"https://www.science.org/doi/10.1126/science.aea7431#core-collateral-R1\">1</a></em>). What can policy-makers do to facilitate adaptation? Here, we draw on a burgeoning field of economic research on climate adaptation to identify when and how markets can be a promising tool for effective and efficient adaptation.</div>",
        "doi": "10.1126/science.aea7431",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2026-02-12",
        "series_number": "6786",
        "volume": "391",
        "issue": "6786",
        "pages": "662-664"
    },
    {
        "id": "authors:yfq65-j6c61",
        "collection": "authors",
        "collection_id": "yfq65-j6c61",
        "cite_using_url": "https://authors.library.caltech.edu/records/yfq65-j6c61",
        "type": "article",
        "title": "Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates",
        "author": [
            {
                "family_name": "Greenhill",
                "given_name": "Simon",
                "orcid": "0000-0001-9726-2477",
                "clpid": "Greenhill-Simon"
            },
            {
                "family_name": "Druckenmiller",
                "given_name": "Hannah",
                "orcid": "0000-0003-4605-1172",
                "clpid": "Druckenmiller-Hannah"
            },
            {
                "family_name": "Wang",
                "given_name": "Sherrie",
                "orcid": "0000-0002-4618-5675",
                "clpid": "Wang-Sherrie"
            },
            {
                "family_name": "Keiser",
                "given_name": "David A.",
                "orcid": "0000-0002-4687-5633",
                "clpid": "Keiser-David-A"
            },
            {
                "family_name": "Girotto",
                "given_name": "Manuela",
                "orcid": "0000-0003-2795-2063",
                "clpid": "Girotto-Manuela"
            },
            {
                "family_name": "Moore",
                "given_name": "Jason K.",
                "orcid": "0009-0000-3485-845X",
                "clpid": "Moore-Jason-K"
            },
            {
                "family_name": "Yamaguchi",
                "given_name": "Nobuhiro",
                "orcid": "0009-0007-2593-778X",
                "clpid": "Yamaguchi-Nobuhiro"
            },
            {
                "family_name": "Todeschini",
                "given_name": "Alberto",
                "orcid": "0009-0003-5595-1524",
                "clpid": "Todeschini-Alberto"
            },
            {
                "family_name": "Shapiro",
                "given_name": "Joseph S.",
                "orcid": "0009-0002-2410-6355",
                "clpid": "Shapiro-Joseph-S"
            }
        ],
        "abstract": "We assess which waters the Clean Water Act protects and how Supreme Court and White House rules change this regulation. We train a deep learning model using aerial imagery and geophysical data to predict 150,000 jurisdictional determinations from the Army Corps of Engineers, each deciding regulation for one water resource. Under a 2006 Supreme Court ruling, the Clean Water Act protects two-thirds of US streams and more than half of wetlands; under a 2020 White House rule, it protects less than half of streams and a fourth of wetlands, implying deregulation of 690,000 stream miles, 35 million wetland acres, and 30% of waters around drinking-water sources. Our framework can support permitting, policy design, and use of machine learning in regulatory implementation problems.",
        "doi": "10.1126/science.adi3794",
        "pmcid": "PMC11008676",
        "issn": "0036-8075",
        "publisher": "American Association for the Advancement of Science",
        "publication": "Science",
        "publication_date": "2024-01-26",
        "series_number": "6681",
        "volume": "383",
        "issue": "6681",
        "pages": "406-412"
    },
    {
        "id": "authors:xgyvs-pa065",
        "collection": "authors",
        "collection_id": "xgyvs-pa065",
        "cite_using_url": "https://authors.library.caltech.edu/records/xgyvs-pa065",
        "type": "article",
        "title": "Accounting for ecosystem service values in climate policy",
        "author": [
            {
                "family_name": "Druckenmiller",
                "given_name": "Hannah",
                "orcid": "0000-0003-4605-1172",
                "clpid": "Druckenmiller-Hannah"
            }
        ],
        "abstract": "<p>Ecosystem services are often omitted from climate policy owing to difficulties in estimating the economic value of climate-driven ecosystem changes. However, recent advances in data and methods can help us overcome these challenges and move towards a more comprehensive accounting of climate impacts.</p>",
        "doi": "10.1038/s41558-022-01362-0",
        "issn": "1758-678X",
        "publisher": "Nature Publishing Group",
        "publication": "Nature Climate Change",
        "publication_date": "2022-07",
        "series_number": "7",
        "volume": "12",
        "issue": "7",
        "pages": "596-598"
    },
    {
        "id": "authors:n0jgn-59v87",
        "collection": "authors",
        "collection_id": "n0jgn-59v87",
        "cite_using_url": "https://authors.library.caltech.edu/records/n0jgn-59v87",
        "type": "article",
        "title": "Wetlands, Flooding, and the Clean Water Act",
        "author": [
            {
                "family_name": "Taylor",
                "given_name": "Charles A.",
                "clpid": "Taylor-Charles-A"
            },
            {
                "family_name": "Druckenmiller",
                "given_name": "Hannah",
                "orcid": "0000-0003-4605-1172",
                "clpid": "Druckenmiller-Hannah"
            }
        ],
        "abstract": "In 2020 the Environmental Protection Agency narrowed the definition of \"waters of the United States,\" significantly limiting wetland protection under the Clean Water Act. Current policy debates center on the uncertainty around wetland benefits. We estimate the value of wet-lands for flood mitigation across the United States using detailed flood claims and land use data. We find the average hectare of wetland lost between 2001 and 2016 cost society $1,840 annually, and over $8,000 in developed areas. We document significant spatial heterogeneity in wetland benefits, with implications for flood insurance policy and the 50 percent of \"isolated \" wetlands at risk of losing federal protection. (JEL K32, Q24, Q25, Q53, Q58)",
        "doi": "10.1257/aer.20210497",
        "issn": "0002-8282",
        "publisher": "American Economic Association",
        "publication": "American Economic Review",
        "publication_date": "2022-04",
        "series_number": "4",
        "volume": "112",
        "issue": "4",
        "pages": "1334-1363"
    }
]