Evidence map›Paper›PMID 39833328›Full record

ArticleJournal of exposure science & environmental epidemiology2025

MyEcoReporter: a prototype for artificial intelligence-facilitated pollution reporting.

Weihsueh A Chiu, Galen Newman, Garett Sansom, Xinyue Ye, Andriy Rusyn, Haotian Wu, Tom Winckelman, Ivan Rusyn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Weihsueh A ChiuDepartment of Veterinary Physiology & Pharmacology, Texas A&M University, College Station, TX, USA. wchiu@tamu.edu.ORCID http://orcid.org/0000-0002-7575-2368
Galen NewmanDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA.
Garett SansomDepartment of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA.
Xinyue YeDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA.
Andriy RusynIndependent Consultant, Denver, CO, USA.
Haotian WuDepartment of Veterinary Physiology & Pharmacology, Texas A&M University, College Station, TX, USA.
Tom WinckelmanDepartment of Veterinary Physiology & Pharmacology, Texas A&M University, College Station, TX, USA.
Ivan RusynDepartment of Veterinary Physiology & Pharmacology, Texas A&M University, College Station, TX, USA.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Galen Newman · 2019 to 2026
$13.0M
NIEHS NIH HHS P30 ES029067NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

backgroundMany chemical releases are first noticed by community members, but reporting these concerns often involves considerable hurdles. Artificial Intelligence (AI)-enabled technologies, especially large language models (LLMs), can potentially reduce these barriers.

objectiveWe hypothesized that AI-powered chatbots can facilitate reporting of pollution incidents through text messaging.

methodsWe created an AI-powered chatbot, "MyEcoReporter," that enables communities to report environmental incidents to government authorities. Eschewing traditional web-based forms, users text concerns via SMS to the LLM-powered application, engaging in a natural conversation through which required information is collected. The application was built using Python, AWS Lambda, DynamoDB, and Twilio, and deployed via Serverless.

resultsThis architecture allowed rapid customization for various use cases, which successfully facilitated conversations and stored structured data for formal submission. IMPACT STATEMENT: MyEcoReporter showcases the potential of Artificial Intelligence/Large Language Models to create user-friendly tools that translate community environmental concerns into actionable information for reporting to government authorities.

Indexed as

Artificial IntelligenceEnvironmental PollutionHumansArtificial intelligenceChatGPTCommunity healthEnvironmental justiceLarge language modelsPollution

Identifiers

PMID39833328
PMCPMC12315757

What OpenQuestion holds

Textmetadata
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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.