At the intersection of physical sciences and policy, our researchers work to find solutions for hunger, environmental degradation, emerging energy markets and more.
Research Spotlight
Economic Policy Challenges Facing California's Next Governor: Electricity Policy Reform
Because Californians are likely to want to continue to lead the energy transition, the relevant policy design question is: How can the state achieve these low-carbon energy goals in a more cost- effective manner?
Climate Change is Increasing the Risk of Extreme Autumn Wildfire Conditions Across California
The climate model analyses presented here suggest that continued climate change will further amplify the number of days with extreme fire weather by the end of this century, though a pathway consistent with the UN Paris commitments would substantially curb that increase.
Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali
Leveraging a survey experiment in Mali, this study uses plot-level sorghum yield estimates, based on farmer reporting and crop cutting, to construct and evaluate estimates from three satellite-based sensors.
This volume, edited by Marietje Schaake and Francis Fukuyama provides perspectives on how digital technologies are used, perceived, and affect behavior in a range of countries outside of North America and Europe. This volume should be seen as a modest first effort to gather comparative data on digital technology issues affecting ECs that will inform government policy, the platforms, and civil society around the world.
As the Internet and digital information and communication technologies (ICTs) have spread globally, governments around the world have struggled to understand the transformative impacts of these technologies and determine how best to govern them.
Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work used multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma samples from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC = 0.70), time-to-delivery (r = 0.65), maternal age (r = 0.59), gravidity (r = 0.56), and BMI (r = 0.81). Time-to-delivery biological correlates included fetal-associated proteins (e.g., ALPP, AFP, and PGF) and immune proteins (e.g., PD-L1, CCL28, and LIFR). Maternal age negatively correlated with collagen COL9A1, gravidity with endothelial NOS and inflammatory chemokine CXCL13, and BMI with leptin and structural protein FABP4. These results provide an integrated view of epidemiological factors associated with PTB and identify biological signatures of clinical covariates affecting this disease.
ChatGPT has exploded into the national consciousness. The potential for large language models (LLMs) such as ChatGPT, Bard, and many others to support or replace humans in a range of areas is now clear—and medical decisions are no exception. This has sharpened a perennial medicolegal question: How can physicians incorporate promising new technologies into their practice without increasing liability risk?
This book explores the social and psychological factors behind how ISIS was able to rise in Iraq, control most of it, and why most of that population eventually turned on it.
Using open-source intelligence - including photographs from the regiment's New Year's party - Ukranian hacktivists were able to ascertain the identity of the Russian pilots.
Educational Research for Policy and Practice,
May 3, 2023
This study utilizes semi-structured interviews to explore the status quo of teacher training of rural and urban public primary school teachers in Henan Province China. Our findings showed that both rural and urban teachers had very limited training opportunities available to them. Most of the participants did not find the current training opportunities useful in improving their teaching practices. Both rural and urban teachers desired training in pedagogy, educational psychology, and curriculum. Rural teachers particularly expressed the need for training in ICT and classroom management skills. Observing education experts’ demonstration classes is the most preferred training format. Policy implications are discussed.
Unlike previous such strategies, the new National Cyber Strategy rebalances responsibility to generate a new social contract for a resilient national cybersecurity to counter threats from malicious nations and emerging technology.
