HeyJaredEmerging Technology Observatory
News, demos, and analysis from the Emerging Technology Observatory (https://eto.tech), CSET's public platform for data and insight on critical emerging tech issues.
- Indexed issues, last 90 days
- 8
- Latest publication
- Sep 22, 2026
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- Earliest in this view
- Jul 21, 2026
Latest issues
U.S. safety filters send Hugging Face to a Chinese model: new picks from Scout (opens the original)
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Scout is ETO’s discovery tool for Chinese-language news and commentary on technology issues. See the latest editors’ picks, browse the feed by topic, or sign up for customized e-mail alerts at https://scout.eto.tech. 🔭Launch ScoutEditors’ picks from ETO Scout, volume 30 (7/21/26-9/22/26)A policy document that urges Chinese governments to use AI models to speed up paperwork, enhance surveillance</stro
Latest Data Added to Chip Supply Chain Explorer (opens the original)
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Authors: Hanna Dohmen and Jacob FeldgoiseHanna Dohmen is a Senior Research Analyst at CSET.Jacob Feldgoise is a Senior Data Research Analyst at CSET.ETO’s updated Supply Chain Explorer now includes 2025 market share data, updated from 2024 data. This tool offers policymakers and researchers an open, interactive way to understand the essential inputs, countries, and companies involved in producing semiconductor devices (i.e. chips), including AI chips. Check out the latest data in the Explorer no
Predicting Areas of Extreme Growth with the Map of Science (opens the original)
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Author: Katherine QuinnKatherine Quinn is a Data Scientist at CSET.Historical trends in the Map of Science are useful for identifying research areas that are growing, such as filtering for clusters with high recent growth. But what about predicting future growth? With our improved extreme growth predictions, we are better able to identify clusters likely to experience extreme growth in the next
Announcing Updates to the Research Almanac (opens the original)
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Today we're updating the Research Almanac, our dashboard for exploring trends in English-language emerging technology research. These updates build on the Merged Academic Corpus (MAC) improvements we announced last year, including more accurate author-affiliation metadata and an expanded research fields classification. As always, you can read about how we classify articles and calculate our figures in the Almanac's documentation.<h2
Announcing Expanded AGORA Collaboration (opens the original)
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We are excited to announce an expanded, multi-university collaboration for AGORA. We will continue working with Purdue University’s Governance and Responsible AI Lab (GRAIL), who has been working with us on AGORA since the beginning. This collaboration will bring in teams from the Massachusetts Institute of Technology’s AI Risk Initiative and Carnegie Mellon University’s <
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