جست‌وجوی استاد و پژوهشگر

Lily L. Tsaiمشاهده پروفایل

استاد

• Governance
• Accountability
• Political Participation
• +۱۰ مورد دیگر

Lily L. Tsai is the Ford Professor of Political Science at the Massachusetts Institute of Technology (MIT) and founder/director of the MIT Governance Lab (MIT GOV/LAB). She previously chaired the MIT Faculty and focuses her research on governance, accountability, and political participation in developing contexts, particularly Asia and Africa. Her research explores how decentralization, democratic reforms, informal institutions, and economic development influence public goods provision. She also investigates the dual impacts of social capital and civil society on political outcomes, and analyzes political behavior in authoritarian and transitional systems through surveys, interviews, and field experiments. Recent publications span topics including collective governance, vaccine compliance in Uganda, anticorruption strategies in China, and the role of informal institutions in rural China. Tsai’s work appears in journals like American Political Science Review and World Development . Dogan Award for best book in comparative research (2007-08) She leads interdisciplinary projects such as the Compass Initiative (SHASS Education Innovation Fund) and The Science of Respect with MIT’s Brain and Cognitive Sciences department. MIT GOV/LAB, which she founded in 2014, emphasizes real-time empirical collaboration between researchers and practitioners to address governance challenges.

Dean Ecklesمشاهده پروفایل

دانشیار

• Social Influence
• Network Analysis
• Causal Inference
• +۴ مورد دیگر

Dean Eckles is an Associate Professor of Marketing at MIT Sloan School of Management and serves as an Associate Director of the MIT Institute for Data, Systems, and Society (IDSS). He is also affiliated with the MIT Schwarzman College of Computing through the Institute for Data, Systems & Society and its Statistics and Data Science Center. Additionally, he leads the analytics research area at the Initiative on the Digital Economy and organizes the annual Conference on Digital Experimentation (CODE@MIT). His educational background includes a BA in philosophy, BS and MS in cognitive science, MS in statistics, and PhD in communication, all from Stanford University. Prior to joining MIT, Eckles worked as a scientist at Facebook, where he contributed to areas including News Feed, messaging, advertising, tools for randomized experiments, and survey methods. He previously held research positions at Nokia and Yahoo. Eckles's research primarily focuses on social influence mediated by interactive technologies, examining how communication technologies mediate, amplify, and direct social influence. His work spans multiple specific areas including social interactions, contagion, and interventions in networks; experimental design and inference in networks; and methods for causal inference. His research often combines social science with advanced statistical methods. His notable publications include research on long ties in social networks and their relationship to economic prosperity, how network structure affects social contagions, and algorithmic transparency in social media platforms. His work has appeared in prestigious journals including PNAS and Nature Human Behaviour, and he has provided expert testimony before the US Senate on algorithmic ranking. Long ties, disruptive life events and economic prosperity (PNAS) Long ties accelerate noisy threshold-based contagions (Nature Human Behaviour) Algorithmic transparency and assessing effects of algorithmic ranking (Senate testimony) Eckles actively shares his research through social media platforms including Bluesky, Twitter, and Mastodon, as well as through his blog and contributions to the Gelman et al. blog. His work bridges academic research with practical applications in technology and policy.

Alexandra Livadaمشاهده پروفایل

استاد

• Quantitative economics
• Applied econometrics
• Time series analysis
• +۶ مورد دیگر

Alexandra Livada is a Professor at the Department of Statistics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). She holds office at two locations: 12 Codringtonos Street, 2nd Floor and 76 Patision Street, Antoniadou Wing, 3rd Floor in Athens, Greece. Her contact information includes email livada@aueb.gr and phone number +30 210-8203521. Dr. Livada earned her BA and MA in Economics from Athens School of Economics and Business followed by a PhD in Economics from Essex University, UK in 1988. Her academic career has spanned several decades with extensive teaching experience at both undergraduate and postgraduate levels. Her research interests encompass a diverse range of quantitative fields: Quantitative economics and applied econometrics Time series analysis and forecasting techniques Income distribution and inequality measurement Applied financial econometrics Business cycles analysis Medical statistics Index numbers and official statistics Professor Livada's publication record demonstrates consistent scholarly productivity across multiple disciplines, with a noticeable trend toward interdisciplinary work connecting economics with healthcare and social policy. Her recent research shows increasing focus on income inequality across different geographic regions, economic sentiment during crises, and the intersection of medical conditions with statistical analysis. Her scholarly contributions have been recognized through numerous citations in leading journals and books. She has served as a referee for prestigious journals including the European Journal of Political Economy, Journal of Public Economics, and Journal of Insurance, Mathematics and Economics. Professional service highlights include: Member of multiple project teams Marie-Curie project supervisor External evaluator for the Greek State Scholarship Foundation (IKY) External evaluator for the Social Sciences and Humanities Research Council of Canada Co-author of the book "Index Numbers and Official Statistics" Professor Livada maintains an active research agenda with collaborations spanning economics, statistics, and medical fields, demonstrating the interdisciplinary nature of contemporary quantitative research.

Martin T. Wellsمشاهده پروفایل

استاد

• Applied Statistics
• Theoretical Statistics
• Bayesian Statistics
• +۷ مورد دیگر

Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.

• Political Science
• Election Studies
• Voting Behavior
• +۶ مورد دیگر

Airo Hino is a Professor at the Faculty of Political Science and Economics , Waseda University. He holds a Ph.D. in Government from the University of Essex and MA/BA in Political Science from Waseda University. His work spans Comparative Politics , Voting Behavior , and Political Communication , with a focus on populism , authoritarian values , and Twitter-based well-being indicators . Education: Ph.D. (University of Essex), MA/BA (Waseda University) His research explores electoral systems , party polarization , and social media's role in politics , including the development of the SWB-J index for measuring subjective well-being via Twitter. His 2021-2024 publications analyze populist attitudes, conspiracy theories, and electoral dynamics in Japan and global contexts. Scientific awards include: 2021 - Best Paper Award, International QCA Paper Development Workshop 2016 - Waseda Research Award (High-Impact Publication) 2015 - Okuma Memorial Academic Award 2015 - Best Article Award, Japanese Association of Electoral Studies He has received JSPS KAKENHI grants (2020-2025) for studies on political polarization and populism , and 2017-2022 grants for research on electoral system impacts .

Emilio A. Parradoمشاهده پروفایل

استاد

• International Migration
• Demographic Change in Latin America
• Hispanic Population Studies
• +۳ مورد دیگر

Emilio A. Parrado is the Dorothy Swaine Thomas Professor of Sociology at the University of Pennsylvania's School of Arts & Sciences and Director of the Population Studies Center. His research focuses on migration dynamics, particularly Hispanic populations in the U.S., international migration patterns, and social/demographic changes in Latin America. He combines quantitative and qualitative methods, including original survey and ethnographic data. Education: Ph.D. (Sociology, University of Chicago, 1997), M.A. (Sociology, University of Chicago, 1994), B.A. (Sociology, University of Buenos Aires, 1988). Key research areas include: Migrant health risks and transnational mobility (e.g., HIV/STI patterns at the U.S.-Mexico border) Gendered impacts of migration on labor markets and family structures Demographic transitions and social inequality in Latin America, including post-pandemic labor market shifts in Argentina Recent work emphasizes deportation effects on mental health, regional migration trends to Buenos Aires, and the intersection of immigration policy with fertility and urban development. His Migrante Project focuses on Mexico-U.S. border health observatories. Awards: None explicitly listed. Active in grants related to migrant health and labor studies. Labs/Teams: Leads the Population Studies Center and collaborates with the Latin American and Latino Studies Program at UPenn.

Adam Bonicaمشاهده پروفایل

دانشیار

• Data Science
• Money in Politics
• Campaigns and Elections
• +۵ مورد دیگر

Adam Bonica is an Associate Professor in the Department of Political Science at Stanford University . His research integrates data science and politics , focusing on money in politics , campaigns and elections , judicial politics , and political methodology . Research Interests : Data Science, Political Ideology, Campaign Finance, Judicial Polarization, Quantitative Modeling Contact : Encina Hall West, Room 307, Stanford, CA 94305-6044 | Email : bonica@stanford.edu | Phone : (650) 725-7987 His work has been published in leading journals such as the American Journal of Political Science , Political Analysis , Journal of Economic Perspectives , Journal of Law, Economics, and Organization , and JAMA Internal Medicine . Bonica co-authored The Judicial Tug of War , which explores the politicization of the American judiciary. He has developed comprehensive databases like DIME (Database on Ideology, Money in Politics, and Elections) to advance research on political ideology and campaign finance. Recent publications include analyses of ideological persuasion in U.S. elections, judicial reform dynamics, and supervised machine learning applications in political methodology. His research spans topics such as clerk hiring as ideological indicators , professional networks in fundraising , and polarization trends among physicians and legal professionals .

Aleksander Madsenمشاهده پروفایل

پژوهشگر

• Social stratification
• Segregation
• Intergenerational mobility
• +۵ مورد دیگر

Aleksander Madsen is a Researcher at the University of Oslo (UiO), affiliated with the Department of Sociology and Human Geography under the Faculty of Social Sciences. His primary research interests include social stratification, immigrant assimilation in labor markets, welfare state policies, and statistical methods. He holds a PhD from Oslo Metropolitan University and an MA from UiO. Education: PhD in Sociology, Centre for the Study of Professions, Oslo Metropolitan University (2014–2018) MA in Sociology, University of Oslo (2013) His research explores labor market integration of immigrants, gender disparities in male-dominated workplaces, and the impact of education-occupation mismatch on health outcomes. He has conducted longitudinal studies on long-term sickness absence and labor market trajectories using sequence analysis. Dr. Madsen has held postdoctoral and research positions at UiO and NIFU, and was a visiting scholar at Stanford University's SCANCOR (2024) funded by the Fulbright Foundation. His work spans interdisciplinary collaborations, including projects on workplace diversity, ethnic stratification, and policy evaluations. Awards: U.S. - Norway Fulbright Foundation Grant (2023–2024) His research group affiliations include the Social Inequalities and Population Dynamics team and the ORGMIGRANT project, investigating work organizations and immigrant assimilation. Recent publications address residential networks among immigrants, workplace ethnic diversity, and women’s attrition from male-dominated sectors.

Yuhua Wangمشاهده پروفایل

استاد

• Comparative Politics
• China Studies
• Asian Politics
• +۸ مورد دیگر

Yuhua Wang serves as the Ford Foundation Professor of Modern China Studies within Harvard University's Faculty of Arts and Sciences, Department of Government. His scholarly work establishes him as a leading authority on Chinese political development, state capacity, and historical institutional analysis across imperial and contemporary contexts. His academic foundation includes: B.A. from Peking University Ph.D. from the University of Michigan Professor Wang's research program integrates comparative politics with Chinese studies through core interests in bureaucracy , institutions , judiciary and public law , political economy & development , political geography , and state-society relations . He employs a methodological triad of historical , qualitative , and quantitative approaches to analyze China's political evolution. His work uniquely bridges macro-historical patterns with contemporary governance challenges, particularly examining how historical legacies shape modern state capacity and institutional resilience in authoritarian contexts. Analysis of his publication trajectory reveals consistent focus on state development mechanisms, with increasing sophistication in comparative historical methodology. Recent work demonstrates expanded geographic scope beyond China while maintaining analytical depth in imperial political economy. His research shows growing integration of cross-national datasets with deep historical case studies, reflecting broader trends in political science toward mixed-method designs for complex institutional analysis. His distinguished recognition includes: 2023 Lubbert Best Book Award in Comparative Politics from the American Political Science Association for The Rise and Fall of Imperial China Harvard College Professor appointment (2025) Professor Wang maintains active research leadership through extensive publication in premier journals including American Political Science Review and Comparative Political Studies , with significant contributions to theoretical frameworks like State-in-Society 2.0. His work generates substantial policy-relevant insights on corruption, judicial review, and urban governance in China. As a core faculty member in Harvard's Government Department, he contributes to the university's intellectual ecosystem through cross-disciplinary collaboration and participation in research initiatives focused on Asian political development, though specific lab affiliations are not documented in available sources.

Paola Madiniمشاهده پروفایل

مدرس ارشد

• Management Control Systems
• Budgeting
• Performance Measurement
• +۳ مورد دیگر

Dr. Paola Madini serves as Senior Lecturer in Accounting within the Department for Accounting and Finance at Kent Business School, University of Kent. Holding a PhD from Bocconi University and PGCHE from Kent, she specializes in management control systems with prior academic appointments at ESADE and SDA Bocconi School of Management. Education: PhD in Business Administration and Management (Accounting and Control specialization), Bocconi University PGCHE, University of Kent Fellow of the Higher Education Academy Her research examines management control systems (MCS) design and behavioral implications, focusing on budgeting processes, performance measurement, and inter-organizational relationships. Using field-based case studies and surveys with finance professionals, she bridges academic theory with practical applications in accounting management. Recent work investigates pandemic impacts on UK healthcare organizations' MCS and explores management accounting education through participative teaching methodologies and flipped learning approaches. Publication analysis reveals consistent contributions to management accounting literature, with recurring themes in MCS configurations (coercive, enabling, diagnostic, interactive), budgetary design, and industry-specific applications in fashion/retail sectors. Her work demonstrates evolving focus from traditional budgeting processes toward contemporary challenges like emerging market dividend policies and pandemic-driven organizational adaptations. Scientific Awards: Distinguished Reviewer Award 2017 (Journal of Management Control) Runner up reviewer 2015 (Journal of Management Control) She actively supervises postgraduate research including six Master's theses on managerial reporting systems in retail, fashion company accounting implementations, and neo-colonial accounting education frameworks. Industry collaborations include IBM Italy (integrative finance organizations), DocFlow (document management systems), and CIMA (fashion company accounting systems), with current projects examining pandemic impacts on UK healthcare management control systems. As member of the McGraw Hill Higher Education Advisory Board and conference committees (Socialising Business Research, AAA Annual Meeting), she contributes to academic community development while advising publishers on management accounting textbook development and portfolio strategies.

Ricardo Sabatesمشاهده پروفایل

استاد

• Educational Inequalities
• Quantitative Methods in Education
• Economics of Education
• +۲ مورد دیگر

Ricardo Sabates is a Professor of Education and International Development at the University of Cambridge, affiliated with the Faculty of Education and the Research for Equitable Access and Learning (REAL) Centre . He is a Fellow at Hughes Hall and serves as Deputy Director of Research at the Faculty of Education. His career spans institutions including the University of Sussex, Institute of Education London, and Hughes Hall, Cambridge. PhD in Development (University of Wisconsin-Madison, USA) MSc in Economics (University of Wisconsin-Madison, USA) BA Honours (ITAM, Mexico) Ricardo is a development economist with expertise in educational inequalities , particularly in low-income countries. His work focuses on quantitative methods , maternal education impacts , and equity in educational access and learning . He collaborates with international agencies such as the OECD , UNICEF , UNESCO UIS , DFID , and the World Bank . His recent research trends include large-scale educational reform in Ethiopia , community-school participation in India , disability and learning outcomes , and teacher effectiveness in Africa . Projects often involve experimental/quasi-experimental designs and policy evaluation in Ethiopia, Ghana, India, Pakistan, Rwanda, and Tanzania. Ricardo also supervises postgraduate doctoral and masters students and contributes to core research training courses at Cambridge. He is actively involved in multiproject collaborations funded by the DFID-ESRC , MasterCard Foundation , and CAMFED , addressing topics like girls' secondary education , teacher effectiveness , and equity in educational interventions .

Auzeen Shariatiمشاهده پروفایل

دانشیار

• Environmental Criminology
• Crime Prevention
• Victimization Studies
• +۶ مورد دیگر

Dr. Auzeen Shariati is an Associate Professor and Director of Undergraduate Programs in the Department of Criminology, Law and Society at George Mason University. She holds a Ph.D. in Public Affairs and Criminal Justice from Florida International University (2017), an M.A. in Criminal Law and Criminology from Allameh Tabataba’I University (2010), and a B.A. in Judicial Law from the University of Tehran (2006). Prior to academia, she practiced as a defense attorney at the Iranian Bar Association. Her research focuses on environmental criminology, crime prevention, victimization, policing strategies, and comparative criminal justice systems. Key areas include pandemic impacts on domestic violence, school safety through Crime Prevention Through Environmental Design (CPTED), and policy evaluation in criminal justice. She has published extensively in journals like American Journal of Criminal Justice , Journal of Family Violence , and Security Journal . Recent work examines how the Covid-19 pandemic and social upheavals like the murder of George Floyd influenced domestic violence reporting and victim experiences. Her studies combine quantitative and qualitative methods, emphasizing real-world policy implications. Dr. Shariati teaches courses such as Introduction to Criminology , Law and Justice Around the World , and Evaluation of Crime and Justice Policies . She actively presents at conferences like the American Society of Criminology and has contributed to public discourse on campus safety and criminal justice reform through media engagements.

Eli Ben-Michaelمشاهده پروفایل

استادیار

• Causal Inference
• Policy Analysis
• Machine Learning Applications
• +۳ مورد دیگر

Eli Ben-Michael is an Assistant Professor jointly appointed in the Heinz College of Information Systems and Public Policy and the Department of Statistics & Data Science at Carnegie Mellon University. He is affiliated with the CMU-NIST AI Measurement Science & Engineering Cooperative Research Center (AIMSEC), contributing to cutting-edge research at the intersection of statistics, policy analysis, and artificial intelligence. His educational background includes a PhD in Statistics from U.C. Berkeley and undergraduate studies at Columbia University where he earned a dual degree in Computer Science and Statistics. Prior to his current position, he completed a postdoctoral fellowship at Harvard University's Institute for Quantitative Social Science and Department of Statistics. Ben-Michael's research focuses on developing innovative statistical and computational methods for causal inference and policy evaluation, with particular emphasis on integrating machine learning techniques to address complex problems in public policy and social science. His work bridges theoretical statistics with practical applications in healthcare, criminal justice, education, and social policy. Current research directions include safe policy learning, sensitivity analysis for clustered data, and methodological innovations for the synthetic control method. His publication record shows a strong trajectory in top-tier journals including Journal of the American Statistical Association, Journal of the Royal Statistical Society, and Proceedings of ICML. Recent work demonstrates increasing focus on policy-relevant applications including abortion legislation impacts, pre-trial risk assessment, and healthcare disparities, while maintaining methodological rigor in causal inference frameworks. Ben-Michael has developed open-source software tools including augsynth and multical R packages, which implement his methodological contributions for synthetic controls and multilevel calibration weighting. These packages have been adopted by researchers in multiple disciplines for causal inference applications.

Andrew Guessمشاهده پروفایل

دانشیار

• Digital Media and Politics
• Political Communication
• Misinformation and Fact-Checking
• +۳ مورد دیگر

Andrew Guess is an Associate Professor of Politics and Public Affairs at Princeton University's Woodrow Wilson School of Public and International Affairs. He employs quantitative and computational methods to study digital media's impact on political dynamics, including polarization, misinformation, and algorithmic effects. Research Interests: Digital media and politics, computational social science, misinformation, political polarization, survey methodology Key Collaborations: Co-editor of the Journal of Quantitative Description: Digital Media , with Kevin Munger and Eszter Hargittai Publication Trends: His work analyzes social media algorithms (e.g., Facebook/Instagram feed effects), misinformation prevalence and correction (including election-related content), and methodological innovations using digital trace data. Articles demonstrate cross-platform analysis, behavioral tracking, and experimental approaches to media literacy interventions. Academic Contributions: Guess has developed frameworks for measuring online media diets, tested algorithmic impacts on political exposure, and investigated structural factors in digital misinformation spread. His research frequently involves large-scale behavioral experiments and partnerships with institutions like the Harvard Kennedy School and NYU Center for Data Science.

Qimin Liuمشاهده پروفایل

استادیار

• Psychological Sciences
• Quantitative Methods
• Clinical Science
• +۴ مورد دیگر

Qimin Liu is an Assistant Professor at Boston University, serving as Lab Director of the Quantitative Psychopathology Laboratory. He holds a PhD in Psychological Sciences from Vanderbilt University with specializations in Clinical Science and Quantitative Methods. His research focuses on emotional disturbances across development, statistical methodology development, and health equity with an emphasis on intersectional marginalization. He has expertise in analyzing intensive longitudinal data and has published extensively on topics like irritability, suicidality, and mental health disparities among sexual and gender minority populations. Dr. Liu’s work frequently integrates advanced statistical techniques such as latent variable modeling, network analysis, and machine learning. His recent studies explore the temporal dynamics of affect, the impact of stigma on mental health, and the role of childhood adversity in psychiatric outcomes. Notable contributions include developing methods for analyzing zero-inflated longitudinal data and creating algorithms for digital phenotyping of mood disorders through mobile device usage patterns. His scholarship emphasizes bridging clinical phenomena with rigorous quantitative approaches, addressing gaps in understanding how social determinants and individual differences shape mental health trajectories. He has collaborated on large-scale datasets like the Collaborative Psychiatric Epidemiological Surveys and contributed to interdisciplinary research on public health outcomes among aging sexual minority men. Dr. Liu’s methodological innovations include the DACF framework for ceiling/floor effect data and the lamme package for log-analytic multiplicative effects modeling. He actively publishes in high-impact journals such as Psychological Methods and Journal of Abnormal Psychology , focusing on both empirical findings and statistical best practices.