Experts in health, education, governance, energy and social justice collaborate to learn how different levers of action can impact communities.
Research Spotlight
Causes of Indonesia’s Forest Fires
New research features a 30,000-village case study of the 2015 fire season on Sumatra and Kalimantan and asks which villages, for a given level of spatial fire risk, are more likely to have fire.
Do Immigrants Assimilate More Slowly Today Than in the Past?
Using millions of historical census records and modern birth certificates, new research documents that immigrants assimilated into U.S. society at similar rates in the past and present.
Generative artificial intelligence (AI) tools have made it easy to create realistic disinformation that is hard to detect by humans and may undermine public trust. Some approaches used for assessing the reliability of online information may no longer work in the AI age. We offer suggestions for how research can help to tackle the threats of AI-generated disinformation.
In low- and middle-income countries, urbanization has spurred the expansion of peri-urban communities, or urban communities of formerly rural residents with low socioeconomic status. The growth of these communities offers researchers an opportunity to measure the associations between the level of urbanization and the home language environment (HLE) among otherwise similar populations. Data were collected in 2019 using Language Environment Analysis observational assessment technology from 158 peri-urban and rural households with Han Chinese children (92 males, 66 females) aged 18–24 months in China. Peri-urban children scored lower than rural children in measures of the HLE and language development. In both samples, child age, gender, maternal employment, and sibling number were positively correlated with the HLE, which was in turn correlated with language development.
As the U.S., EU and China are taking divergent leads in new AI regulations, a new framework for AI diplomacy is emerging, all under the shadow of strategic technological competition.
Renée DiResta is the technical research manager at Stanford Internet Observatory. Dave Willner is a Non-Resident Fellow in the Program on Governance of Emerging Technologies at Stanford Cyber Policy Center.
The home language environment is a significant correlate of early childhood development outcomes; however, less is known about this mechanism in rural and peri-urban China where rates of developmental delay are as high as 52%. This study examines associations between the home language environment and child development in a sample of 158 children (58% boys) aged 18–24 months (Mage = 21.5) from rural and peri-urban households in Western China. Results show a significant association between adult-child conversation count and language development, suggesting the home language environment may be a mechanism for child development in rural and peri-urban China. 22.5% of the sample were at risk of language delay. Mother’s employment and child’s age were significant factors in the home language environment.
Many U.S. states have legislated to allow nurse practitioners (NPs) to independently prescribe drugs. Critics contend that these moves will adversely affect quality of care.
Compartmental infectious disease (ID) models are often used to evaluate non-pharmaceutical interventions (NPIs) and vaccines. Such models rarely separate within-household and community transmission, potentially introducing biases in situations where multiple transmission routes exist. We formulated an approach that incorporates household structure into ID models, extending the work of House and Keeling.
