Skip to main content
U.S. flag

An official website of the United States government

Here’s how you know

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

HTTPS

Secure .gov websites use HTTPS
A lock (LockA locked padlock) or https:// means you have safely connected to the .gov website. Share sensitive information only on official, secure websites.

  • Environmental Topics
  • Laws & Regulations
  • Report a Violation
  • About EPA
Contact Us

Grantee Research Project Results

Machine Learning Toolkit for Grey Literature Screening

EPA Contract Number: 68HERC23C0033
Title: Machine Learning Toolkit for Grey Literature Screening
Investigators: Mintas, Constantine
Small Business: VISIMO, LLC
EPA Contact: Richards, April
Phase: I
Project Period: December 1, 2022 through May 31, 2023
Project Amount: $99,804
RFA: Small Business Innovation Research (SBIR) Phase I (2023) RFA Text |  Recipients Lists
Research Category: SBIR - Water , SBIR - Homeland Security , SBIR - Sustainability , SBIR - Air and Climate

Description:

VISIMO’s ML Toolkit for Grey Literature Screening will reduce bias in, and improve accuracy of, systematic reviews (SRs) for chemical risk assessment. Grey literature is notoriously difficult to screen and tag, and despite its importance, researchers often exclude grey literature from their SRs due to necessity. VISIMO’s Toolkit will enable researchers to filter full documents of all types and formats, identify relationships between documents, determine source relevance, and perform improved meta-tagging. These capabilities will enable researchers to identify relevant grey sources and thus improve the quality of their SRs. While other software addresses literature screening in a generalized manner, to our knowledge, VISIMO’s solution is the only tool designed for literature screening with the challenges of grey literature in mind. While VISIMO’s solution is designed to meet EPA needs, our tool can be utilized by risk assessors and scientists, researchers, librarians, and industry leaders within a variety of disciplines, including environmental science and beyond. VISIMO’s Toolkit will increase the accuracy of SRs for chemical risk assessment, and thus result in significant positive environmental impact through supporting risk reduction of various chemicals.

Progress and Final Reports:

  • Final Report
  • SBIR Phase II:

    Machine Learning Toolkit for Academic and Grey Literature Screening

    Top of Page

    The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.

    Project Research Results

    • Final Report
    • SBIR Phase II

    Site Navigation

    • Grantee Research Project Results Home
    • Grantee Research Project Results Basic Search
    • Grantee Research Project Results Advanced Search
    • Grantee Research Project Results Fielded Search
    • Publication search
    • EPA Regional Search

    Related Information

    • Search Help
    • About our data collection
    • Research Grants
    • P3: Student Design Competition
    • Research Fellowships
    • Small Business Innovation Research (SBIR)
    Contact Us to ask a question, provide feedback, or report a problem.
    Last updated April 28, 2023
    United States Environmental Protection Agency

    Discover.

    • Accessibility
    • Budget & Performance
    • Contracting
    • EPA www Web Snapshot
    • Grants
    • No FEAR Act Data
    • Plain Writing
    • Privacy
    • Privacy and Security Notice

    Connect.

    • Data.gov
    • Inspector General
    • Jobs
    • Newsroom
    • Open Government
    • Regulations.gov
    • Subscribe
    • USA.gov
    • White House

    Ask.

    • Contact EPA
    • EPA Disclaimers
    • Hotlines
    • FOIA Requests
    • Frequent Questions

    Follow.