The Program on Geopolitics, Technology, and Governance (GTG) examines how emerging technologies—including artificial intelligence, quantum computing, and smart devices—are redefining power, economies, and policies worldwide. Our research addresses the complex challenges these advances pose for international security, and how governments, businesses, and individuals adapt to shifting landscapes of risk and opportunity.
Artificial intelligence is reshaping economies, security, and governance worldwide, raising urgent questions about how to distribute its benefits equitably while managing risks. GTG examines how democracies can leverage AI innovation to advance shared prosperity and security, with particular attention to infrastructure requirements, Global South perspectives, and mechanisms for international cooperation.
Related projects:
AI for Peace
This research initiative investigates how the United States and its allies and partners can leverage their comparative advantages in AI innovation to equitably distribute the benefits of AI while incentivizing trustworthy deployment. The research focuses on three key areas:
Infrastructural requirements for deploying AI at scale for countries at all levels of economic development and multilateral, multi-stakeholder mechanisms for meeting those requirements.
Global South perspectives on promising use cases for AI and governance approaches for facilitating AI deployment while managing risks.
Prospects and options for international collaborations to address cross-border security, environmental, and other externalities.
The Future of Decision-Making Project (FODM) is a multi-year, interdisciplinary research initiative examining how emerging technologies—particularly artificial intelligence and advanced decision-support systems—are reshaping human decision-making in high-stakes domains such as national security, defense, and crisis management. Rather than focusing solely on technological capability, the project centers on the human dimension: how judgment, responsibility, and accountability evolve as machines increasingly inform, shape, or constrain human choices. The project brings together scholars and practitioners from academia, government, and industry to develop empirically grounded, policy-relevant insights into the future of human-machine decision systems.
GEOPOLITICS OF TECHNOLOGY
Emerging technologies are becoming central to great power competition and regional security dynamics. GTG examines how technological advantages translate into geopolitical leverage, how U.S. strategy can balance competition with innovation and alliance partnerships, and how technology is reshaping power dynamics across critical regions like East Asia.
GTG's annual conference and ongoing research initiative brings together leading regional experts, policymakers, and industry leaders to examine how technological developments are reshaping geopolitical dynamics across East Asia. The research focuses on critical technology supply chains—particularly semiconductors—regional responses to U.S.-China competition, and opportunities for multilateral cooperation on technology governance.
CHINA & DIGITAL COMPETITION
China's rapid digital development and distinct governance approaches have profound implications for global markets, security, and technology standards. GTG analyzes Chinese technology policy and corporate strategies through original-language sources, providing insights into how China's digital trajectory shapes international competition and governance debates.
The DigiChina project, led by Graham Webster, enhances understanding of China's digital policy developments through translating and analyzing Chinese-language sources. Since 2017, DigiChina has published translations of primary sources, contextual explanation, and analysis on China’s technology policy landscape, covering topics including the Cybersecurity Law regime, data governance, artificial intelligence, and China’s official push for greater technological independence.
CYBERSECURITY & INTERNATIONAL COOPERATION
Effective governance of technology challenges requires sustained dialogue and cooperation across borders. GTG facilitates Track II exchanges with international partners, building relationships and shared understanding that can lay groundwork for broader policy cooperation on cybersecurity and technology governance issues.
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We study the effect of a victimization narrative on national identity and public opinion in China experimentally. Previous research has suggested that governments can shape public opinion by guiding citizens’ collective memories of historical events, but few studies have established a clear causal link. By conducting an online survey experiment among 1890 urban Chinese citizens, we examine the causal impact of historical narratives on political attitudes. We find that, compared to control conditions, a narrative focusing on China’s humiliating past in the late Qing significantly reinforces respondents’ attachment to the victim side of the Chinese national identity, raises suspicion of the intention of foreign governments in international disputes, stimulates preference for more hawkish foreign policies, and strengthens support for China’s current political system. These effects are particularly strong among respondents without a college degree.
This study investigated the association between household characteristics, perceived family support (PFS), and the developmental outcomes (resilience, academic performance, and prosociality) among at-risk students. Our large sample included 1564 primary and secondary school students from poor rural China (M = 11.55 years old). Having a caregiver whose resilience score was in the top 50% of the sample was associated with a 0.48-point increase (or 0.31 d effect size), while having a migrant mother was correlated with a 0.26-point decrease (or 0.17 d effect size). PFS was a significant (p < 0.0001) mediator between household characteristics and developmental outcomes. Our study highlights the link between caregiver resilience and PFS, and the healthy functioning of disadvantaged students in a developing context.
in Antje von Ungern-Sternberg (ed.), Content Regulation in the European Union – The Digital Services Act, TRIER STUDIES ON DIGITAL LAW, Volume 1, Verein für Recht und Digitalisierung e.V., Institute for Digital Law (IRDT), Trier April 2023
Review of Economics and Statistics ,
April 12, 2023
Using administrative data on the Chinese National College Entrance Examination, we study how left-digit bias affects college applications. We find strong discontinuities in students' admission outcomes at 10-point thresholds. Students with scores just below multiples of 10 make more conservative college application choices that place them into less selective colleges and majors. In contrast, students who score at or just above multiples of 10 aim and achieve higher but are at greater risk of overshooting. The discontinuity reveals that, despite the educational and labor market consequences, students' self-evaluation based on exam scores is subject to information-processing heuristics.
Parental investment in the home language environment during the earliest years is a critical predictor of early language development. Because most studies investigating the home language environment and child language development have been conducted in Western, high-income, and developed settings, less is known about such environments in low- or middle-income settings. This study was conducted in a peri-urban area in Southwestern China in a sample of 81 rural migrant and urbanized farmer families with children aged 18-24 months. The home language environment was measured using Language Environment Analysis (LENA) recorders and software, while early language development was measured using the MacArthur-Bates Communicative Developmental Inventories expressive vocabulary scale. Findings reveal large and substantial variation in the sample's home language environments and a strong association between the home language environment and child language development. Certain demographic characteristics, such as household resources, maternal employment, and gender, are associated with the home language environment. These findings highlight the needs for interventions specifically targeting the home language environment to improve early language development of young children and for more research on early childhood development in peri-urban China.
The decision by Russian President Vladimir Putin to suspend Russia’s participation in the 2010 New Strategic Arms Reduction Treaty (New START) puts at risk the sole remaining treaty limiting US and Russian nuclear forces.
Efforts by the United States and Russia to bilaterally reduce their weapons plutonium stockpiles are currently stalled following a U.S. decision to dilute and bury excess plutonium in a geologic repository.
Using premier Language Environment Analysis technology to measure and analyze the home language environment, this observational study aims to describe the home language environment and child language ability, drawing on empirical data from 77 households with children aged 18–24 months from rural China. The results show large variation in measures of the home language environment and early language ability, similar to other rural Chinese samples. Results also demonstrate significant correlations between child age and the home language environment, maternal employment and the home language environment, father’s educational attainment and the home language environment, adult–child conversations and early language ability, and child vocalizations and early language ability.
