Find Academic Supervisors

Alfred G. CuzánView profile

Professor

• Political Science
• American Politics
• Comparative Politics
• +6 more

Alfred G. Cuzán , a Professor at the Reubin O'D. Askew Department of Government within the University of West Florida 's College of Arts, Social Sciences and Humanities , has dedicated his 40-year career to American and comparative politics , with a focus on fiscal policy in elections and Latin American politics . Born in Havana, Cuba, his academic journey began after witnessing Fidel Castro's rise to power in 1959, leading him to immigrate to Miami in 1961. He earned a bachelor's degree from the University of Miami and master's and doctorate degrees from Indiana University . Research Interests : Election forecasting models (e.g., Fiscal Model, PollyVote), political theory, democratization in Latin America, and fiscal policy's impact on voter behavior. Scientific Awards : Two Fulbright Scholar Grants (2015, 1983) Five National Endowment for the Humanities Fellowships (2004, 1996, 1992, 1989, 1988) Reuben Askew Fellowship and Henry Salvatori Fellowship Advising & Grants : Co-developed the PollyVote with Armstrong, Graefe, and Jones. Chaired the Department of Government at UWF from 1992 to 2012.

Richard HallView profile

Academic

• School Counseling in International Contexts
• Student Performance Analysis
• Educational Policy Evaluation
• +3 more

Richard Hall, PhD, is an Adjunct Lecturer at SIT Graduate Institute and Senior Assessment Specialist, focusing on measurement and evaluation of educational programs. His work emphasizes program effectiveness and student development in undergraduate/graduate settings, informed by a background in K-12 education as an autism interventionist and school counselor. He holds a PhD in International Educational Leadership from Vanderbilt University, where his dissertation evaluated a USAID-funded school counseling program in North Macedonia. Education: PhD, International Education Leadership, Policy & Organizations, Vanderbilt University MA, School Counseling, Adams State University BA, Government & Legal Studies, Bowdoin College Research Interests include international school counseling, student performance metrics, and program sustainability. His work frequently intersects with policy analysis and mixed-methods research. Recent publications explore student mobility patterns, Missouri educational trends, and pandemic impacts on academic achievement. He collaborates with organizations like PRiME Center on policy briefs and reports. Key contributions include: Analyzing NAEP score declines Examining charter/magnet school transfers Parental polling on educational priorities

Vladik KreinovichView profile

Professor

• Uncertainty Management
• Interval Computations
• Fuzzy Logic
• +7 more

Professor Vladik Kreinovich is a renowned academic in the Department of Computer Science at the University of Texas at El Paso (UTEP), part of the College of Science. His primary research focuses on uncertainty management, interval computations, fuzzy logic, and decision-making under uncertainty. He holds a Doctor Honoris Causa from Ostrava University and is a Fellow of the International Fuzzy Systems Association (IFSA) and the Mexican Society for Artificial Intelligence (SMIA). His academic journey includes a B.S. and M.S. from St. Petersburg University and a Ph.D. from the Institute of Mathematics in Novosibirsk, Russia. Dr. Kreinovich has authored over 1,500 publications, with notable contributions to interval analysis, computational intelligence, and interdisciplinary applications in geoscience and environmental science. Awards include the K. S. Fu Award, Meritorious Service Award from IEEE, and the El Paso Energy Foundation Faculty Achievement Award. He serves on editorial boards for journals like Reliable Computing and International Journal of Approximate Reasoning . His teaching spans automata theory, formal languages, and advanced topics in computing paradigms. Grants include an AT&T Fellowship (2021–2028), and he actively contributes to conferences such as IFSA, EUSFLAT, and NAFIPS. His work bridges theoretical foundations with practical applications, emphasizing robust algorithms for uncertain data and interdisciplinary collaboration.

Patricia MoyView profile

Professor

• Political Communication
• Public Opinion
• Media Effects
• +3 more

Patricia Moy is a Professor and Christy Cressey Professor of Communication at the University of Washington, affiliated with the Department of Communication (College of Arts & Sciences) and serving as Adjunct Professor of Political Science. She holds a Ph.D. from the University of Wisconsin-Madison and M.S. and B.S. degrees from Cornell University. As Associate Vice Provost for Academic and Student Affairs, she oversees accreditation processes and tricampus collaborations. Her research focuses on political communication, public opinion, and media effects on citizenship. Key works include With Malice Toward All? (2000) and Communication and Community (2019), exploring media negativity and communication within diverse communities. She teaches courses in communication theory, political communication, and research methods. Education: Ph.D., University of Wisconsin-Madison M.S., Cornell University B.S., Cornell University Moy’s research spans media effects on trust, political behavior, and civic engagement. Her recent work examines corruption perception, peace journalism, and late-night comedy’s political impact. She has held visiting appointments at Hebrew University, the University of Milan, and the University of Mannheim. Professional Contributions: Editor-in-chief of Oxford Bibliographies in Communication , former editor of Public Opinion Quarterly , and president of multiple scholarly associations, including the International Communication Association. Her honors include the Warren J. Mitofsky Award (2019) and Fellowships from the ICA and Midwest APOR. Grants and Leadership: Coordinates UW’s accreditation efforts, leads academic program reviews, and supports interdisciplinary initiatives. Serves on editorial boards of top journals like Journal of Communication and Political Communication . Her work bridges theory and practice, emphasizing democratic participation and media’s role in shaping societal trust.

• Political Science
• Voting Behavior
• Political Parties
• +5 more

Ruth Dassonneville is a Professor at the Faculty of Social Sciences at KU Leuven , specializing in political science and electoral behavior. Her research focuses on party competition, voter decision-making, and policy responsiveness in democratic systems. Projects : Social groups, political thinking, and vote choices (2025-2030) Social groups and voting in transformed political spaces (2025-2026, 2025-2034) Her recent publications analyze party competence reputations, youth electoral impact, and gender differences in voting accuracy. She has contributed to journals such as European Journal of Political Research and Comparative Political Studies , often employing cross-national and longitudinal methodologies.

Thomas LoughranView profile

Lecturer

• Electoral Politics
• Young People's Politics
• Voting Age Reform
• +4 more

Dr Thomas Loughran is a Lecturer in Politics at Lancaster University’s Department of Politics, Philosophy and Religion. His research focuses on electoral politics in Europe and the UK, with primary interests in political values, youth politics (including the 'votes-at-16' debate), and UK devolution. Secondary interests include EU integration, trust in devolved institutions, and citizenship education. He supervises PhD projects on electoral politics, youth politics, voting age reform, and UK devolution. Notable projects include the Authoring Our Own Stories – Youth Voice at the Core of Recovery (2022–2027), emphasizing youth engagement in policy discourse. His work frequently employs quantitative methodologies and survey research. Key research themes include the intersection of public opinion and power-sharing in Northern Ireland, the implications of voting age reforms, and the role of European values in education. He collaborates internationally, including with the Jean Monnet Network Project on citizenship education. Publications span journals like Irish Political Studies and British Journal of Politics and International Relations , addressing topics such as border poll dynamics, youth political identities, and EU integration challenges. His research bridges theoretical frameworks with practical policy analysis, particularly in democratic governance and institutional reform.

• Science and Technology Studies
• Digital Anthropology
• Cultures of Artificial Intelligence
• +4 more

Lukas Griessl is a postdoctoral researcher at the Ludwig Uhland Institute of Historical and Cultural Anthropology at the University of Tübingen. He investigates how generative AI systems transform research practices in the social sciences and humanities, focusing on AI assemblages and epistemic cultures. His work bridges Science and Technology Studies (STS), digital anthropology, and new materialism. Education includes a PhD in Sociology from the University of Essex (2023), an MSc in Philosophy of the Social Sciences from the London School of Economics (2018), and an MA in Philosophy and Sociology of Science from the University of Exeter (2017). He also holds a Bachelor’s degree in Philosophy, Political Science, and Sociology from the Catholic University of Eichstätt-Ingolstadt (2016). Research interests span the sociology of public opinion polling, epistemic inequalities, and the cultural dimensions of AI. He has published on topics like predictive stability in election forecasting, secrecy in knowledge production, and urban politics. His work has appeared in journals such as Parallax and The American Sociologist . Awards include scholarships from the German Academic Scholarship Foundation, including a doctoral fellowship (2020–2023). He has organized academic events on ignorance studies, survey sampling history, and epistemic conflicts in democracy. Professional memberships include the European Association for the Study of Science and Technology (EASST), European Sociological Association (ESA), and European Survey Research Association (ESRA). He contributes to interdisciplinary debates at the intersection of technology, culture, and power.

Shelley BlozisView profile

Professor

• Statistical Methods
• Health Psychology
• Longitudinal Data Analysis
• +3 more

Shelley Blozis is a Professor at the University of California, Davis, with an academic appointment in the Department of Psychology. She is also an affiliated faculty member at the Center for Mind and Brain and serves as Chair of the UC Davis Olive Center. Her roles include Senior Statistical Editor and Senior Associate Editor of Health Psychology, and she has held editorial roles with Psychological Methods and the APA's Dictionary of Statistics and Research Methods in Psychology. Education: Shelley Blozis holds a Ph.D. in Psychology from the University of Minnesota, and both a Master's and Bachelor's degree in Psychology from California State University, Fullerton. Research: Her research focuses on extending and applying statistical methods for clustered, repeated measures, and longitudinal data. She collaborates with researchers in health and social psychology, addressing topics like adolescent health, chronic illness, health education, and preventative medicine, as well as animal behavior and nursing. Her work emphasizes methodologies such as latent variable models and mixed-effects models to analyze complex data patterns. Publications: Blozis's recent publications emphasize methodological advancements in statistical modeling, particularly in handling missing data, longitudinal analyses, and Bayesian approaches. Her work spans applications in health psychology, marketing, and animal behavior. Awards and Grants: 2004 Faculty Travel Awards from UC Davis and UNC Chapel Hill 1999 Faculty Research Award from UT Austin Grants from NSF, NICHD, and NIH Teaching and Administration: Blozis teaches courses in multilevel modeling and longitudinal data methods. Her administrative roles include leadership at the Olive Center and editorial responsibilities, reflecting her contributions to both research and academic administration. Labs/Teams: Her research lab, 'Longitudinal and Missing Data Methods,' focuses on statistical procedures for behavioral data, including factor analysis, SEM, and mixed-effects models.

Jiming JiangView profile

Professor

• Mixed Effects Models
• Generalized Linear Models
• Model Selection
• +7 more

Jiming Jiang is a Professor and Department Chair of Statistics at the University of California, Davis. He specializes in mixed effects models, generalized linear models, and small area estimation. His research bridges theoretical statistics with applications in precision medicine, pharmacokinetics, and big data analysis. He holds a Ph.D. from UC Berkeley (1995). Key research areas include asymptotic theory, spatial statistics, and longitudinal data analysis. Notable contributions include books on mixed models and large sample techniques. Awards include the 2023-24 SAE Award, Morris Hansen Lecture (2023), and AAAS Fellowship (2019). His work emphasizes robust statistical methods and model selection in complex data environments.

Cornelius ErfortView profile

Researcher

• Comparative Politics
• Quantitative Methods
• Voter Targeting
• +3 more

Cornelius Erfort is a Postdoctoral Researcher at Witten/Herdecke University, Department of Philosophy, Politics, and Economics. He specializes in comparative politics and quantitative methods, focusing on voter targeting, interest groups, and voting behavior. His work includes analyzing digital election advertising strategies and election forecasting models. He is affiliated with the Research Training Group DYNAMICS (Humboldt-Universität zu Berlin and Hertie School) and has collaborated with the LSE Department of Government. His research involves projects like zweitstimme.org for German federal election forecasts and the PARTYPRESS Database on political communication. Education: PhD: Humboldt-Universität zu Berlin & Hertie School (Research Training Group DYNAMICS) Visiting Researcher: London School of Economics (LSE), 2023 M.Sc. Mechanical Engineering: Humboldt-Universität zu Berlin Exchange: Centro de Investigación y Docencia Económicas (CIDE), Mexico City, 2017 Research Interests: Election campaigns and digital targeting strategies Political behavior and voter mobilization Comparative political communication and party agendas Electoral forecasting methodologies Key Contributions: PARTYPRESS Database: Analyzes over 250,000 party press releases across 9 European countries Election forecasting models for German federal and subnational elections Studies on gendered campaign communication and unpopular policy support Grants & Funding: Deutsche Forschungsgemeinschaft (DFG) Grant 390285477/GRK 2458

Mariana V. Ramirez BustamanteView profile

Researcher

• Comparative Politics
• Political Methodology
• Latin American Politics
• +3 more

Dr. Mariana V. Ramírez Bustamante is a Researcher at the Heidelberg Center for Ibero-American Studies (HCIAS) since 2024, contributing to the 'Justice in Transitions to Sustainability' project. She holds a PhD in Political Science from Vanderbilt University, specializing in Comparative Politics and Political Methodology. Her research focuses on organized crime's impact on political behavior in Latin America, electoral integrity, and Latin American governance dynamics. Prior roles include Graduate Research Affiliate at Vanderbilt's LAPOP Lab. Education: B.A. in Political Science and Public Administration, Pontifical Catholic University of Peru M.A. in Political Science, Vanderbilt University M.A. in Latin American Studies, University of Salamanca Her research employs mixed methods including experiments, surveys, and qualitative interviews. Key interests include electoral fraud mechanisms (electoral transhumance), drug policy implications, and the interplay between criminal organizations and democratic processes. Current projects analyze drug trafficking candidates' electoral support in Peru and poll worker attendance effects on election outcomes. Her publications explore electoral irregularities in Peru and Latin America's social media distrust phenomena. She collaborates with international academic networks and contributes to policy discussions on electoral integrity and criminal governance.

Amreeta DhanoaView profile

Associate Professor

• Dengue viral infection
• Antibiotic resistance
• Bone infections
• +2 more

Amreeta Dhanoa is an Associate Professor and Consultant Clinical Microbiologist at the Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia. She is a pioneer staff member who contributed significantly to developing the medical curriculum at Monash University Malaysia. As Discipline Coordinator for Microbiology, she leads curriculum design and teaching innovations, focusing on active learning modules, case-based learning, and interdisciplinary approaches. She employs student response systems like Kahoot! and Poll Everywhere to enhance classroom engagement. Her research focuses on dengue infection, antibiotic-resistant bacteria, bone infections, and medical education. She has authored numerous publications and presented globally. Education: MBBS, Medicine, Universiti Malaya (1994) Masters in Pathology (Clinical Microbiology), Universiti Malaya (2001) Graduate Certificate in Higher Education, Monash University (2014) Research Interests: Her work addresses dengue pathogenesis, antibiotic resistance mechanisms, bone infection management, and medical education innovations. She explores viral respiratory infections mimicking dengue and the impact of comorbidities on disease severity. Her recent projects include genomic studies of drug-resistant bacteria and host responses to dengue infections. Grants & Projects: Deployment of a Multiplexed Sequencing Panel for Pathogen Detection (2023–2024) Host Responses to Heterologous Dengue Infection (2022) Awards: Best Poster Award (2024) Best Poster Award, Monash Medicine Curriculum Conference (2018) Best Presentation Award, International Medical Education Conference (2018) International Invention, Innovation & Technology Exhibition Awards (2018) Advising & Teaching: She mentors medical students and contributes to external roles like the Masters of Pathology Programme and orthopaedic examinations. Her work aligns with UN SDG goals in education and health.

Alexander VolfovskyView profile

Associate Professor

• Network Analysis
• Causal Inference
• Statistical Methodology
• +4 more

Alexander Volfovsky is an Associate Professor of Statistical Science at Duke University, affiliated with the Trinity College of Arts & Sciences. He holds a Ph.D. in Statistics from the University of Washington (2013), and a B.Sc. (Hons) and M.S. in Mathematics from the University of Chicago (2009). His research focuses on network analysis, causal inference, and computational-statistical tradeoffs, with applications in social sciences, epidemiology, and public health. **Education:** Ph.D., University of Washington, 2013 B.Sc. (Hons) and M.S., University of Chicago, 2009 **Research Interests:** Volfovsky explores network dynamics, causal inference under complex dependencies, and statistical methods for large-scale data. Key areas include: - Political polarization and social media experiments - Epidemic modeling on dynamic networks - Interpretable machine learning for causal inference - Design of randomized experiments in networked systems - Applications in public health and policy evaluation **Grants & Funding:** Principal investigator for NIH-funded studies on anti-seizure treatment efficacy and NSF-funded projects on interpretable AI in healthcare. Collaborates with institutions like Massachusetts General Hospital and the John Templeton Foundation. **Awards:** Thomas Langford Award, 2023 **Labs & Initiatives:** Co-Director of the Polarization Lab (studying partisan dialogue) and Almost Matching Exactly Lab (interpretable causal inference tools). Past President of the New Researchers Group at the Institute of Mathematical Statistics.

• Public Opinion and Communication
• Survey Research Methods
• Political Communication
• +3 more

Gerald Kosicki is an Associate Professor Emeritus in the School of Communication at The Ohio State University. He has served as the undergraduate director of the Journalism Program Committee since 2015, overseeing the B.A.-Journalism degree program and The Lantern Media Group, which includes the student-run Lantern newspaper, TV station, and digital platforms. His research focuses on public opinion, political communication, survey methods, and media effects, with a recent emphasis on survey transparency and digital journalism practices. He has contributed to curriculum development, including proposals for interdisciplinary survey research minors, and has led efforts to modernize journalism education through multimedia newsroom facilities. Education: B.A. in Communication (John Carroll University), M.A. in Journalism (Ohio State), Ph.D. in Mass Communications (University of Wisconsin-Madison). Research emphasizes methodological rigor in public opinion studies and explores how digital media reshape political communication and news consumption. He advocates for transparent reporting practices and has analyzed media effects on voter behavior, presidential governance, and organizational communication in healthcare settings. His work bridges academic research with practical journalism education, emphasizing internships and interdisciplinary collaboration with departments like Theater, Film, and Media Arts. Leadership includes managing The Lantern Media Group’s 23-student editorial team and guiding the construction of a 21st-century newsroom featuring advanced multimedia production facilities. His contributions to journalism education have produced notable alumni in Pulitzer Prize-winning roles and major news organizations.

• Educational Technology
• Cognitive Psychology
• Student Engagement
• +3 more

Irene Karayianni is an Assistant Professor in the Psychology Department at The American College of Greece and affiliated with the Center of Excellence in Food, Tourism & Leisure (COEFTL). She holds a PhD in Experimental Cognitive Psychology from the University of Sussex and an AC in Strategic Pharmaceutical Marketing from EEFAM & the University of Piraeus. Her research focuses on AI tools' impact on learning, student engagement, and data-driven decision-making. Prior to academia, she worked in market research and corporate analytics. Dr. Karayianni’s work bridges cognitive psychology with educational technology. She explores how AI technologies influence teaching methodologies and student outcomes, emphasizing critical GenAI literacy and effective learning strategies. Recent studies include examining ChatGPT’s role in education, visual literacy’s connection to AI comprehension, and frameworks for curriculum redesign. She is a peer reviewer for multiple journals and conferences, and serves on academic networks like the International AI in Education Society. Her publications span topics from student engagement dynamics during the pandemic to the design of interactive classroom tools. She actively contributes to advancing pedagogical practices through interdisciplinary collaboration, particularly in virtual reality applications for cognitive assessments and stakeholder-driven curriculum reforms.