In addition to the most pressing issues of the day, scholars at the Freeman Spogli Institute for International Studies focus their research on many regions of the world, from Beijing to Brazil.
Research Spotlight
The Ripple Effects of China’s College Expansion on American Universities
Researchers at SCCEI trace how China’s unprecedented expansion of higher education has impacted U.S. graduate education and local economies surrounding college towns.
While Nayib Bukele's style of authoritarianism may have some successes on paper, Beatriz Magaloni and Alberto Diaz-Cayeros argue that the regime is headed for a reckoning.
Time for Iran to Make a No-enrichment Nuclear Deal
The time has come for Iran’s leaders to reconsider their past intransigent, deceptive posture and instead pursue a nuclear power program that will benefit the Iranian people, write Abbas Milani and Siegfried Hecker.
Marcella Alsan, an SHP courtesy faculty members, writes in this STAT opinion piece that mental illness and addiction can be curbed with proper funding.
There is an urgent need for stronger congressional leadership in cyber policy, especially when it comes to countering China’s persistent, aggressive intrusions.
Private equity (PE) firms have increasingly influenced U.S. health care, posing risks to health equity—the idea that everyone should have a fair opportunity for optimal health. While PE investors claim to improve efficiency, raise capital, and leverage economies of scale, evidence indicates that their involvement often leads to reduced access to affordable high-quality care, particularly for rural populations, older adults, low-income communities, and marginalized racial and ethnic groups. Without strong regulation and enforcement, PE practices are likely to continue transforming health care in ways that could harm patients and burden clinicians.
A growing body of research on large language models (LLMs) has identified various biases, primarily in contexts where biases reflect societal patterns. This article focuses on a different source of bias in LLMs—government censorship. By comparing foundation models developed in China and those from outside China, we find substantially higher rates of refusal to respond, shorter responses, and inaccurate responses to a battery of 145 political questions in China-originating models. These disparities diminish for less-sensitive prompts, showing that technological and market differences cannot fully explain this divergence. While all models exhibit higher refusal to respond rates with Chinese-language prompts than English ones, language differences are less pronounced than disparities between China-originating and non-China-originating models. We caution that our study is observational and cross-sectional and does not establish a causal linkage between regulatory pressures and censorship behaviors of China-originating LLMs, but these results suggest that censorship through government regulation requiring companies to restrict political content may be an important factor contributing to political bias in LLMs.
Language development and the home language environment during early childhood are critical for long-term child outcomes. Caregiver mental health may influence early language outcomes directly, but it can also introduce perception bias, which refers to the discrepancies between caregiver self-assessments and the actual status of child language outcomes. This study examines the associations between caregiver mental health symptoms and (1) child language development and home language environment, and (2) caregiver perception bias in self-report assessments of child language development and home language environment. The study recruited 137 rural Chinese households with children aged 16–24 months. Objective measures of child language development and the home language environment were collected using Language Environment Analysis (LENA) technology. Caregiver perception biases were measured by the discrepancies between the objective and caregiver self-report measurements. Results show that caregiver anxiety and stress symptoms were linked to poor child language development, while symptoms of depression and anxiety were associated with less stimulating home language environment. Caregivers with depressive and anxiety symptoms tended to overestimate their children’s language development, and those with depressive symptoms also overestimated their own verbal inputs. These findings call for caution when implementing self-report assessments of early childhood development.
