CSET’s unique data-driven approach is enabled by our data team. The team includes data scientists, data research analysts, software engineers, survey and translation specialists, and more. We maintain CSET’s vast data holdings, which include over 60 analysis-ready datasets, offering unprecedented coverage of the emerging technology ecosystem. The team develops and deploys the latest methods in data science and machine learning to clean, link, classify, and otherwise enhance data for analytic use as well as support the curation and annotation of original datasets—from surveys to scraped online information. Resulting research and tools are presented in CSET Data Briefs and Data Snapshots, public repositories, as well as academic conferences and publications.
The team’s work also includes Project Atlas, an initiative to increase the utility and interpretability of scientific research data and better understand the global scientific landscape. Atlas uses LLM-based methods and open research infrastructure to extract research metadata, identify emerging areas of science and technology, and develop tools such as the Map of Science and Map of Patents.
You can also check out our work on CSET’s Emerging Technology Observatory (ETO). ETO provides free, high-quality data resources leveraging CSET’s data and analytic capabilities to transform data into actionable insights. Currently, ETO hosts 10 public tools and eight open datasets maintained by CSET’s data team. Subscribe to receive ETO analyses and updates.
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