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.
Proceedings of the National Academy of Sciences (PNAS),
June 12, 2023
Significance One fundamental issue in economic, psychological, and social sciences is whether and how much income truly brings happiness. This paper draws on twins data to examine whether income indeed affects happiness and estimates the size of such an effect. We control for unobserved genetic factors that may impact both income and happiness using identical twins, address measurement error bias, and conduct a series of robustness checks. Income has a much larger effect than previous estimates: doubling income boosts the four-scale happiness value by 0.26 scales or 0.37 SDs. Heterogeneity analyses suggest that income matters most for males and the middle-aged. Our findings emphasize the importance of income maintenance for individuals’ well-being.
Abstract We estimate the causal effect of income on happiness using a unique dataset of Chinese twins. This allows us to address omitted variable bias and measurement errors. Our findings show that individual income has a large positive effect on happiness, with a doubling of income resulting in an increase of 0.26 scales or 0.37 SDs in the four-scale happiness measure. We also find that income matters most for males and the middle-aged. Our results highlight the importance of accounting for various biases when studying the relationship between socioeconomic status and subjective well-being.
A new article in Social Media + Society uses three case studies to understand the participatory nature and dynamics of the online spread of misleading information.
On June 6th 2023, Steven C. Hazy lecturer Rose Gottemoeller spoke at a roundtable organized by the National Nuclear Security Administration and the National Defense University. Find her full speech below.
A Stanford Internet Observatory investigation identified large networks of accounts, purportedly operated by minors, selling self-generated illicit sexual content. Platforms have updated safety measures based on the findings, but more work is needed.
The Spring 2023 issue of Dædalus takes a transdisciplinary approach to understanding the dilemmas facing humanitarian health actors, and to finding room for innovation in humanitarian health delivery. Recognizing that shared compassion cannot be proscribed but must be felt, the issue also draws on the power of the arts, and features paintings, poetry, photography, fiction, and creative nonfiction by artists whose lives have been shaped by violent conflict and displacement.
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.
