KAIST study provides first large-scale empirical analysis of dual-use research and security oversight
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-Jun-2026 01:15 ET (5-Jun-2026 05:15 GMT/UTC)
A new analysis of approximately 600,000 research papers reveals structural limits to single-country security oversight of dual-use research and identifies trade-offs that policymakers face when strengthening such oversight.
KAIST (President Kwang Hyung Lee) announced today that Professor Seokbeom Kwon of the School of Business and Technology Management has published a large-scale empirical analysis examining the structural limitations of tightening security oversight on dual-use research and its potential cost to scientific progress. The study appears in Science on June 5, 2026.
A new study published in the Journal of Health and Social Behavior shows that when immigrants have adopted some cultural and behavioural elements of their home country but not others, they have worse health.
The rise in remote work caused by the COVID-19 pandemic has substantially increased time spent alone and worsened workers’ mental health, according to a new study based on survey data from more than 500,000 Americans. In evaluating remote employees’ mental health, the analysis moves beyond the main consequence of remote work more typically evaluated in studies to date: worker productivity. The study’s results suggest that “the shift in work location to the home carries measurable costs at the population level,” Emma Zhang and Rourke O’Brien write in a related Perspective. After the pandemic led to many people working from home, the results of studies evaluating the mental health impacts on employees were mixed. To understand remote work’s effect on human well-being better, Natalia Emanuel and colleagues analyzed data from five nationally representative US-based surveys that together spanned more than a decade and included 568,000 respondents. They compared workers’ experiences before the pandemic (2011 to 2019) with experiences from the post-peak period (2022 to 2024), excluding the acute pandemic years of 2020 to 2021. The authors found that workers in jobs amenable to remote work experienced substantially larger post-pandemic increases in time spent alone, worsened mental well-being across multiple measures, and increases in the use of mental health services and prescriptions. These effects were particularly pronounced among individuals living alone. Noting a limitation of their study, the authors said, “Given that our data end in 2024, we cannot fully capture long- term adaptations among remotable workers.” If workers made changes, such as cultivating social networks outside of work, they may not yet have reaped the full benefits by the time of the study, they added. “Across a range of remote work arrangements, both individuals and organizations may want to prioritize making remote work less isolating by, for example, coordinating in-office days for hybrid workers or encouraging informal interaction, even online,” Emanuel et al. conclude.
Data is available for the creation of data visualization images. For more information, please contact Natalia Emanuel at natalia@nataliaemanuel.com
Researchers used a novel data generation pipeline to build ChartNet, a large synthetic dataset of chart images paired with corresponding information. They used this training dataset to improve the performance of generative AI models at challenging tasks like data extraction and chart reconstruction.
A new Dartmouth study maps the interplay of personal choice and social networks that can lead to a phenomenon they call "overarming," where the collective cost of firearm ownership outweighs the individual benefits of possessing a gun. The team developed a model based in evolutionary game theory to characterize how social factors drive individuals' choices to buy a firearm, how these choices influence others' choices, and whether the choices made by all members of society leads to overarming.
A study of wetlands conservation policy in Florida and California suggests a way to reduce flood damage while retaining economic gains from development. The study recommends both an offset policy and a locally varying tax on development to compensate for increased flood risk.
Cambridge, Mass. — June 3, 2026 — Insilico Medicine ("Insilico", 3696.HK), a clinical-stage generative artificial intelligence (AI)-driven biotechnology company, appoints Jue Wang, PhD as Global Head of Business Development. The appointment is expected to further accelerate the commercialization of Insilico’s proprietary Pharma.AI platform and generative AI foundation ecosystem centered around MMAI Gym, as well as global out-licensing and R&D collaboration of Insilico's diverse portfolio of AI-driven therapeutic assets.