Evidence map›Paper›PMID 40438663›Full record

ArticleSoftwareX2025

India Policy Insights: A geospatial and temporal data science and visualization platform and architecture.

Devika Jain, Joaquin Kachinovsky, Gonzalo Rodriguez, Junyi Chen, Rockli Kim, S V Subramanian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SoftwareX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Expanding Public Access to Understanding Data: A Case Study of Leveraging Generative AI for India Policy Insights Dashboard.The Professional geographer : the journal of the Association of American Geographers · 2026
    Article
  2. Article
  3. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Devika JainCenter for Geographic Analysis, Harvard University, 1737 Cambridge Street, Cambridge, MA 02138, USA.
Joaquin KachinovskyOnetree, 425 Urban Street, Kirkland, WA 98033, USA.
Gonzalo RodriguezOnetree, 425 Urban Street, Kirkland, WA 98033, USA.
Junyi ChenMcCormick School of Engineering, Northwestern University, Evanston, IL, USA.
Rockli KimDivision of Health Policy and Management, College of Health Science, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, South Korea.
S V SubramanianHarvard Center for Population and Development Studies, 9 Bow Street, Cambridge, MA 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Geographic Insights Lab at Harvard University developed India Policy Insights (IPI), a spatio-temporal visualization platform for policymakers. IPI provides insights from 122 indicators across population, health, and socioeconomic metrics spanning 720 districts, 543 parliamentary constituencies, and 600,000 villages in India. Its applications include breastfeeding campaigns,policy development, and government reporting. It is fully deployed on Microsoft Azure using Docker, which ensures scalability and reproducibility. Built on an open-source stack with React,.NET, and PostGIS, it processes, stores, visualizes, and queries geospatial big data. This paper highlights IPI's architecture and methodologies for tackling public policy challenges.

Indexed as

AzureDatabasesData insightsDockerETL.NET/React

Identifiers

PMID40438663
PMCPMC12106092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.