11 publications (9 peer-reviewed journal articles, 1 book chapter, and 1 peer-reviewed misc. publication.) The following list does not include 2 forthcoming publications.
202X
Background: Since 2011, Türkiye has become the primary destination for Syrian refugees. Although health care is a fundamental human right, public discourse surrounding refugee health services can influence policy and social cohesion.
Objective: The objective of our study was to examine 14 years of health-related discourse in Türkiye regarding Syrian refugees on platform X (formerly Twitter) to identify evolving patterns in sentiment, stance, and key grievances.
Methods: From a dataset of 4.5 million tweets (2009-2022), 116,172 health-related posts were identified. We used a finetuned Turkish Bidirectional Encoder Representations from Transformers (BERT)-based large language model to perform multitask classification for sentiment, stance, and health topics. Tweets were categorized into 5 domains: provision of health care services, financing and coverage, human resources, public health and disease prevention, and access to medications and pharmaceutical services. Lift scores and heatmaps were used to analyze the relationship between keywords and public attitudes.
Results: The fine-tuned Turkish BERT model achieved high classification performance, with a weighted F1-score of 0.814 for sentiment and 0.757 for stance detection. Public discourse shifted from neutral or positive tones in 2011 to increasingly negative tones over time. By 2021, negative sentiment reached 79.9% (n/N), and the antirefugee stance peaked at 78.3% (n/N). Prominent topics evolved from provision of health care services (n/N, 47.5% in 2011) to public health and disease prevention (n/N, 57.3% in 2021) and human resources (n/N, 34.6% in 2022). High lift scores revealed that an antirefugee stance was strongly associated with keywords such as “appointment,” “vaccine,” and “free.”
Conclusions: There is a marked and consistent rise in antirefugee sentiment within Turkish digital health discourse, often fueled by misinformation and perceived systemic strain. Public health authorities should prioritize evidence-based communication strategies to counter digital polarization and ensure the legibility of health policies to the host population

202X

Iceland, Verdery, Ataç, & Adeel (forthcoming). “From Fertility Rates to Social Inequalities: The Evolving Focus of Demographic Research.” Demography.
Since the founding of the Population Association of America in the early 1930s, demographic research has shifted away from a primary focus on fertility, mortality, and migration to examining a broader array of social demographic topics. Early demographic research frequently framed rapid population growth as a grave problem and promoted fertility control as a key solution. Using large language models and data from eight leading demographic journals published over the 1947 to 2025 period, we analyzed the changing topical focus of demographic research and then examined whether this shift has been accompanied by growing focus on social inequality across subfields. We also assessed whether funding patterns helped explain observed trends. Our findings confirmed that demographic research expanded its scope over the past century and that it was accompanied by a growing, cross-cutting concern with social inequality. We found little evidence that these changes are associated with funding patterns. While this intellectual shift towards inequality has clear value, it also shapes both the selection of research themes and the interpretation of findings, highlighting the importance of continued reflection and discussion within the discipline.
2026
Non-technical summary
Science diplomacy (SD) is increasingly used to encourage international collaboration and produce knowledge for global challenges. This study explores how a 12-year SD campaign helped shape a scientific community around the Water–Energy–Food (WEF) Nexus – a framework linking resource systems for sustainability. By analyzing events, recruitment efforts, and over 1,600 scientific publications, we trace how this community formed, evolved, and interacted with policy agendas. The results show both progress and challenges: growing collaboration and new research directions, but also delays between diplomatic goals and scientific output. The findings offer insights into how SD can support long-term sustainability through knowledge and institutional networks.
Technical summary
Global sustainability challenges have increased reliance on SD to mobilize research communities and align scientific production with policy goals. A central mechanism in these efforts is the formation of scientific epistemic communities (ECs), yet evidence on how SD contributes to durable communities and actionable knowledge remains limited. This study examines a 12-year SD campaign promoting the WEF Nexus, a framework encouraging integrated governance of interdependent resource systems. We combine qualitative coding of 143 SD events and 107 scientific recruitment activities with bibliometric analysis of 1,643 WEF publications (2011–2022). This mixed-methods approach traces the temporal and structural evolution of the WEF EC, focusing on recruitment patterns, thematic consolidation, and co-authorship network resilience. Findings show that SD efforts broadened participation, supported the emergence of a recurring group of authors, diversified journal outlets, and expanded global collaboration networks. Network simulations reveal that by 2022 the EC was moderately resilient but remained dependent on a small subset of strategically connected researchers. The analysis also identifies a temporal lag between SD agenda-setting and scientific response, raising considerations about the alignment of science and policy cycles. Overall, the results clarify conditions under which SD can catalyze scientific community formation and support sustainability-oriented knowledge infrastructures.
Social media summary
How does SD shape global research? Our new study on the WEF Nexus reveals key mechanisms and insights.

2026

Baker, Adeel, Moradel-Vásquez, et al. (2026). “Deepening and broadening knowledge after the PISA scientific event: bibliometric, semantic network, and expert analyses of scientization in education research.” Nature: Humanities and Social Sciences Communications.
The intensification of science as a social institution — known as scientization — is a hallmark of post-industrial society, characterized by deepening research within primary fields and expanding into new ones. While computational analyses of large bibliometric datasets reveal historical trends in the growth of science, their scale misses underlying dynamics. Conversely, qualitative accounts of specific discoveries provide context but fail to capture broader processes driving scientization. This paper introduces a middle-range approach to studying the expansion of science, focusing on scientific responses to significant scientific events (“S-events”) within specific fields over fixed periods. By combining bibliometric data with natural language processing analyses of semantic networks and expert assessments, this approach sheds light on the development of epistemic communities and their role in deepening, broadening, and interacting to foster scientific progress. The Programme for International Student Assessment (PISA) event generated discovery by facilitating a fluid epistemic community of interconnected scientific papers, journals, and scientists. The accumulation of PISA papers appeared not only in directly relevant journals, but also in those at cognitive distance from educational learning science. A dynamic of new ideas broadened the main conceptual core network, while other ideas formed short-lived distal conceptual cores. This case study highlights the strengths and limitations of this middle-range approach for investigating scientization processes.
2025
A cascade over a network refers to the diffusion process where behavior changes occurring in one part of an interconnected population lead to a series of sequential changes throughout the entire population. In recent years, there has been a surge in interest and efforts to understand and model cascade mechanisms since they motivate many significant research topics across different disciplines. The propagation structure of cascades is governed by underlying diffusion networks that are often hidden. Inferring diffusion networks thus enables interventions in cascading process to maximize information propagation and provides insights into the Granger causality of interaction mechanisms among individuals. In this project, we propose a novel double network mixture model for inferring latent diffusion network in presence of strong cascade heterogeneity. The new model represents cascade pathways as a distributional mixture over diffusion networks that capture different cascading patterns at the population level. We develop a data-driven optimization method to infer diffusion networks using only visible temporal cascade records, avoiding the need to model complex and heterogeneous individual states. Both statistical and computational guarantees are established for the proposed method. We apply the proposed model to analyze research topic cascades in social sciences across U.S. universities and uncover the latent research topic diffusion network among top U.S. social science programs.

2025

Sixty years ago, Derek de Solla Price’s influential Little Science, Big Science first documented that from 1900 scientific publications doubled every 10–15 years and then predicted that limited resources would end rapid progress leading to an imminent “scientific doomsday”—a strikingly false prediction given that contemporary global mega-science annually yields 3.5 million mainline STEMM journal research papers. Nevertheless, the idea of a coming crisis persists—supposedly current expansion is stagnating quality. Argued instead is that what was missed, then and now, is a worldwide deepening of scientization—the embedding of science as a core social institution, marked by expanded research capacity, diversification into new domains, and increasing specialization. Employing sociological insights about historical institutional development, Price’s empirics are extended to explain why STEMM productivity never plateaued. Fueled by a worldwide education revolution, universities enact three institutionalizing roles: institutional entrepreneurs; main corporate units of research; and a fiduciary of the generalized symbolic medium of papers. Illustrated by analyses from a recent bibliometric study of 3.3 million papers from 1900 to 2020, it is further suggested that instead of decline, through university-driven scientization the scale and capacity of science as a mature institution reshape the dynamics of discovery supporting sustained growth and quality.
2025
This essay examines the influence of the informal economy on the reach of government interventions in public health crises. It reports the results of an analysis of the self-reported suspension of business operations during the pandemic, as well as a district-level analysis of the changing patterns in community movement in response to the lockdown in India in March 2020. We find that informal establishments were less likely to suspend their operations and that the prevalence of the informal economy weakened the behavioral response of the communities to social distancing measures. In addition to bringing to light an understudied facet of the societal response to the COVID-19 pandemic, this result demonstrates the importance of economic institutions for understanding public governance.

2023

One of the core questions emerging from the COVID-19 pandemic is what it means for governments to be prepared for a major health crisis. Does the preparedness include only access to resources, or does it also include having appropriate formal political mechanisms and political traditions? India, Pakistan, and Bangladesh—three South Asian countries and once parts of British India—face similar healthcare and socioeconomic challenges, share histories of health crises, and rely on somewhat similar frameworks for responding to them. Anecdotally, all these countries rely—or until very recently have relied—on versions of the Epidemic Diseases Act of 1897 as a major public health response document. These similarities in the structural conditions present us with the opportunity to study the role of politics in crisis response. In this chapter, we set out to explore the differences in the policies adopted in response to the COVID-19 crisis and the politics that produced them. We trace the nonmedical interventions at the national and subnational levels in these three countries from the early signs of the pandemic to late 2020 and examine differences and similarities in the trajectories of policymaking and subsequent policy implementation. We scrutinize the role of institutional frameworks in the formulation of this response, identify the key actors in the pandemic response, and the differences in how they interacted. As we show in this chapter, despite the similarities in the structural characteristics and toolkits of the favored policy response instruments, the politics of response to the COVID-19 pandemic significantly diverged across the countries, with different, sometimes unexpected, actors and channels involved in the public health decision-making and with varying political outcomes. We believe that this was partly because they did not inherit a common democratic political tradition of epidemic response from the British Raj and partly due to the differences in the ways their quite similar epidemic response rules fit with their different political systems. In search for a confirmation of this belief, we examine the history of current public health frameworks in these countries and situate them in the context of their political development.
2022
Shvetsova, Zhirnov, Adeel ... et al. (2022) “Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies.” Nature: Scientific Data.
We have developed and made accessible for multidisciplinary audience a unique global dataset of the behavior of political actors during the COVID-19 pandemic as measured by their policy-making efforts to protect their publics. The dataset presents consistently coded cross-national data at subnational and national levels on the daily level of stringency of public health policies by level of government overall and within specific policy categories, and reports branches of government that adopted these policies. The data on these public mandates of protective behaviors is collected from media announcements and government publications. The dataset allows comparisons of governments’ policy efforts and timing across the world and can serve as a source of information on policy determinants of pandemic outcomes–both societal and possibly medical.

2021

Shvetsova, VanDusky-Allen, Zhirnov, Adeel ... et al. (2021) “Federal Institutions and Strategic Policy Responses to COVID-19 Pandemic.” Frontiers in Political Science.
This essay examines the policy response of the federal and regional governments in federations to the COVID-19 crisis. We theorize that the COVID-19 policy response in federations is an outcome of strategic interaction among the federal and regional incumbents in the shadow of their varying accountability for health and the repercussions from the disruptive consequences of public health measures. Using the data from the COVID-19 Public Health Protective Policy Index Project, we study how the variables suggested by our theory correlate with the overall stringency of public health measures in federations as well as the contribution of the federal government to the making of these policies. Our results suggest that the public health measures taken in federations are at least as stringent as those in non-federations, and there is a cluster of federations on which a bulk of crisis policy making is carried by subnational governments. We find that the contribution of the federal government is, on average, higher in parliamentary systems; it appears to decline with the proximity of the next election in presidential republics, and to increase with the fragmentation of the legislative party system in parliamentary systems. Our analysis also suggests that when the federal government carries a significant share of responsibility for healthcare provision, it also tends to play a higher role in taking non-medical steps in response to the pandemic.
2020
Shvetsova, Zhirnov, VanDusky-Allen, Adeel ... et al. (2020) “Institutional Origins of Protective COVID-19 Public Health Policy Responses: Informational and Authority Redundancies and Policy Stringency.” Journal of Political Institutions and Political Economy.
In this essay, we argue that institutional systems that allow redundancies in information channels and in policy-making are more likely to generate a rapid policy response to crises such as the onset of COVID-19 pandemic than more streamlined systems. Since democracies and decentralized polities feature higher informational and authority redundancies, we theorize improved crisis response in democracies, and in more decentralized democracies. To assess our theoretical expectations, we construct an original data set of stringency of policy measures that were adopted in response to COVID-19 by governments at different levels in 64~countries between January and May 2020. We find that democracies and liberal democracies responded to COVID-19 stronger and faster. Federalism and decentralization in addition to democratic institutions played a less uniform, but still a positive role. Beyond their other acknowledged merits, democratic institutions have superior capacity to mount a quick policy response to unqualified threats.

2020

We examine the roles of sub-national and national governments in Canada and the United States vis-à-vis the protective public health response in the onset phase of the global coronavirus disease 2019 (COVID-19) pandemic. This period was characterized in both countries by incomplete information as well as by uncertainty regarding which level of government should be responsible for which policies. The crisis represents an opportunity to study how national and sub-national governments respond to such policy challenges. In this article, we present a unique dataset that catalogues the policy responses of US states and Canadian provinces as well as those of the respective federal governments: the Protective Policy Index (PPI). We then compare the United States and Canada along several dimensions, including the absolute values of sub-national levels of the index relative to the total protections enjoyed by citizens, the relationship between early threat (as measured by the mortality rate near the start of the public health crisis) and the evolution of the PPI, and finally the institutional and legislative origins of the protective health policies. We find that the sub-national contribution to policy is more important for both the United States and Canada than are their national-level policies, and it is unrelated in scope to our early threat measure. We also show that the institutional origin of the policies as evidenced by the COVID-19 response differs greatly between the two countries and has implications for the evolution of federalism in each.