Metraipolis › archive › dc_dc263ddd41ec

Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government — arXiv:2609.11674

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.11674
License (as archived): CC0-1.0
Archived: 2026-10-16T05:24:29.189Z
SHA-256 of the archived text: ce449f95ae6923f9dc236bf69c411ffe80346db12cc8955d14316c270f5299b3
Stable URL of this page: https://metraipolis.com/documento/dc_dc263ddd41ec

How to cite

Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government — arXiv:2609.11674 — arXiv (en), https://arxiv.org/abs/2609.11674 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_dc263ddd41ec (Metraipolis archive dc_dc263ddd41ec, sha256 ce449f95ae6923f9dc236bf69c411ffe80346db12cc8955d14316c270f5299b3)

BibTeX

@misc{dcdc263ddd41ec,
  title = {Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government — arXiv:2609.11674},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.11674},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_dc263ddd41ec; sha256 ce449f95ae6923f9dc236bf69c411ffe80346db12cc8955d14316c270f5299b3},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.11674. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Harvard Dataverse hosts over 150,000 research datasets, but the geographic information those datasets carry is entered as free text by depositors and has never been assembled into a searchable structure. We construct a knowledge graph from the repository's public data and metadata, organizing 102,650 datasets within a 215,985-node network of 528,003 edges linking datasets to keywords, publications, subjects, journals, and locations. Of those datasets, 43,991 (42.9 percent) carry at least one geospatial field, geographic coverage, geographic unit, or a bounding box and 96.9 percent of all nodes sit in a single connected component, so datasets remain reachable from one another even when their geospatial metadata share nothing in common. A conservative keyword search identifies 7,654 geospatially tagged datasets (17.4 percent) as directly policy-relevant, with elections and legislatures the largest cluster, followed by government administration, health policy, transportation, and education. Five datasets illustrate how this metadata behaves across policy domains and spatial scales, and an extended use case shows how community language models, stance detection with geographic aggregation, and partisan language bridging tools can attach discourse to place. The central obstacle is place resolution: the same location appears as many disconnected nodes. We argue that the graph provides a concrete setting for developing AI-driven metadata enrichment and entity resolution, and we document its coverage skew toward American, city-level data.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-11 in cs.AI).
Categorie arXiv: Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2609.11674 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T05:17:52.046Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-09-11?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).