CSET experts Anna Puglisi and Ryan Fedasiuk sat down with China Talk podcast to discuss their contributions on the recent book "China's Quest for Foreign Technology: Beyond Espionage."
To understand China's technology transfer efforts, CSET Research Analyst Emily Weinstein suggests using China's open-source documentation as a resource.
Remco Zwetsloot, Emily S. Weinstein, and Ryan Fedasiuk
| February 2021
In May 2020, the White House announced it would deny visas to Chinese graduate students and researchers who are affiliated with organizations that implement or support China’s military-civil fusion strategy. The authors discuss several ways this policy might be implemented. Based on Chinese and U.S. policy documents and data sources, they estimate that between three and five thousand Chinese students might be prevented from entering U.S. graduate programs each year.
Ryan Fedasiuk, Emily S. Weinstein, Ben Murphy, and Alan Omar Loera Martinez
| February 2021
It’s widely understood that Beijing invests significant resources in shoring up its science and technology prowess, but the extent and flows of the Chinese government’s public investments in S&T are not as well known. This project tracks publicly available information about the budgets of more than two-dozen high-level Chinese government entities, including those that support science, technology, and talent recruitment.
Zachary Arnold, Joanne Boisson, Lorenzo Bongiovanni, Daniel Chou, Carrie Peelman, and Ilya Rahkovsky
| February 2021
In this proof-of-concept project, CSET and Amplyfi Ltd. used machine learning models and Chinese-language web data to identify Chinese companies active in artificial intelligence. Most of these companies were not labeled or described as AI-related in two high-quality commercial datasets. The authors' findings show that using structured data alone—even from the best providers—will yield an incomplete picture of the Chinese AI landscape.
Foreign investors comprise a significant portion of investors in top U.S. AI startups, with China as the leading location. The authors analyze investment data in the U.S. AI startup ecosystem both domestically and abroad, outlining the sources of global investment.
Open source intelligence (OSINT) and science and technology intelligence (STI) are realized differently in the United States and China, China putting greater value on both. In the United States’ understanding, OSINT “enables” classified reporting, while in China it is the intelligence of first resort. This contrast extends to STI which has a lower priority in the U.S. system, whereas China and its top leaders personally lavish great attention on STI and rely on it for national decisions. Establishing a “National S&T Analysis Center” within the U.S. government could help to address these challenges.
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