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Data Visualization

ETO Open-source software Research and Community Activity (ORCA)

Zachary Arnold

Jennifer Melot

July 11, 2023

ETO’s Open-source software Research and Community Activity (ORCA) tool compiles data on open-source software (OSS) used in science and technology research.

Visit ETO ORCA

CSET's Husanjot Chahal discusses India's economic role as an emerging AI superpower.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.

ETO’s Research Almanac provides high-level data on key trends in emerging technology research, including overall research output, growth, and trends among countries, research institutions, and companies active in R&D. This initial version of the Almanac focuses on topics and applications in artificial intelligence.

ETO's Supply Chain Explorer is designed to quickly orient non-experts to the essential inputs, players, and relationships involved in producing advanced computer chips. Use the Explorer to learn how these chips are made, who makes them, and the tools, materials, and processes involved in the supply chain.

Making sense of the often overwhelming world of emerging tech with data-driven tools and resources.

CSET’s CAT presents data related to countries' artificial intelligence ecosystems to give an overview of domestic capabilities, as well as insights on competitiveness and collaboration globally. It presents metrics on AI research, patents, and investment-related activities for AI overall and its various subfields.