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Articles by Devika Jain
Toward Governance-Aware Autonomous GIS: A Narrative Review of Ethical and Privacy Risks in LLM-Enabled GeoAI
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement Data sharing not applicable to this article as no datasets were generated or analysed during the current study. References AI Principles Overview—OECD.AI. n.d. “OECD AI Principles.” https://oecd.ai/en/ai-principles. 2022. “Opinion of the Attorney General, No. 20-303.” California Department of Justice. , and . 2018.
Computer Science > Artificial Intelligence
[Submitted on 10 Sep 2026] Title:Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government View a PDF of the paper titled Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government, by Danny EBanks and Devika Jain View PDF Abstract: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.
The Human Flourishing Geographic Index: A County-Level Dataset for the United States, 2013–2023
Abstract Quantifying human flourishing—a multidimensional construct including happiness, health, purpose, virtue, relationships, and financial stability—is critical for understanding societal well-being beyond economic indicators. Existing measures often lack fine spatial and temporal resolution.
Large language models identify immigration attitudes in online discourse regardless of language
Abstract Large language models (LLMs) offer new opportunities for scalable analysis of online discourse. Yet their use in multilingual social science research remains constrained by model size, cost and linguistic bias. We develop a lightweight, open-source LLM framework using fine-tuned LLaMA 3.2–3B models to classify immigration-related tweets across 13 languages.
India Policy Insights: Estimates of Population Health and Social Determinants Indicators Across Policy Units - Scientific Data
Abstract Achieving global development targets will largely depend on improvements made by developing and populous countries like India. Given the huge population base and diversely wide landscape of India, stakeholders and policy-makers at smaller geographic levels must be equipped with data to understand their respective territories and the target sub-groups.
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