Project Atlas

Project Objectives

Increase the utility and interpretability of scientific research data and evaluate and implement LLM-based methods to extract research metadata, organize and describe the global scientific landscape, and identify emerging areas of activity.

Build useful open research infrastructure, including enhancing CSET’s Map of Science and developing new open datasets and tools to enable exploration and identification of emerging areas of science and technology, increase access to scientific data and insights, and foster knowledge sharing.

We will do this in work along 3 tracks:

01

Track 1

Enhancing bibliometric data extraction and analytic capabilities

02

Track 2

Developing use case prototypes

03

Track 3

Fostering information sharing, access, and awareness

Map of Science plot

Expected Outcomes

Publications & patent data Well-maintained corpora of publications and patents with high-quality, curated metadata
Map of Patents A new CSET Map of Patents tool
Map of Science Improved usability and functionality for CSET’s Map of Science
Research Almanac An updated and expanded CSET Research Almanac
New LLM-based methods New methods for research and patent summarization and growth prediction
New metrics New metrics for identifying and characterizing the application and impact of science
New tools New tools and integrations to identify and explore emerging areas of science
Engagement Workshops, roundtables, user interviews, events, publications, and conference presentations
Interoperability Integration with other open research data, tools, and infrastructure

Project Advisory Council

  • Melissa Flagg
  • Justin Kiggins
  • Malvika Sharan
  • Cassidy Sugimoto
  • Andrew Toole
  • Alex Wade
  • Allison Yezril
  • Chris Mentzel
  • Ronit Levavi Morad

The project will be carried out by CSET’s data science team , working with CSET fellows and analysts and external research collaborators. The project will be enhanced through partnerships with other organizations, including the Open Research Community Accelerator , and through guidance from a Project Advisory Council.

The project is supported by funding from Google.org.