Find Academic Supervisors

• Political economy of communication
• Media and communication theory
• Digital media
• +7 more

Jo PIERSON serves as a Full Professor at Hasselt University's School of Social Sciences, where they lead the Research for Digitalisation, Diversity and Democracy group and serve as President of the OMT bachelor sociale wetenschappen. Their work bridges theoretical communication studies with practical applications in digital governance, with particular focus on how social norms interact with platform architectures. Dr. PIERSON's research interests center on the political economy of communication, media sociology, and the social implications of digital technologies. They investigate how platform affordances shape normative processes, particularly regarding data protection, user empowerment, and public values in digital environments. Their work spans theoretical frameworks like algorithmic governmentality while addressing practical challenges in AI governance and digital citizenship. Analysis of their recent publications reveals a clear trajectory examining the intersection of platform design, user agency, and regulatory frameworks. Their work moves from foundational studies on social media affordances toward increasingly sophisticated examinations of AI systems, data governance, and digital sovereignty. A consistent thread throughout is the emphasis on practical implementation of ethical frameworks in real-world technological contexts. As an academic supervisor, Dr. PIERSON has guided six PhD candidates through completion or toward completion, with research spanning smart city data governance, social media norm dynamics, and digital platform design. Their current research portfolio includes seven active projects, most notably R-EduAI (developing frameworks for responsible AI in education) and C-EMPOWER (analyzing citizen empowerment in health data governance). Within the university, Dr. PIERSON coordinates multiple courses including 'Data, technology and innovation,' 'Public values and digital platforms,' and 'Political economy of media and technology.' They have developed innovative case-based teaching approaches through the CASUS project, aiming to create consistent frameworks for case-oriented social science education. Their teaching responsibilities span both bachelor's thesis supervision and specialized courses addressing contemporary digital challenges.

• Environmental Policy
• Public Administration
• Machine Learning
• +3 more

J.A. de Bruijn is a Professor at the School of Technology, Policy and Management at Delft University of Technology. His work spans interdisciplinary research in environmental policy, public administration, and technological governance. Key affiliations include editorial roles at Springer and participation in committees focused on policy development. Research interests emphasize CO2 electrolysis for carbon neutrality Machine learning in public decision-making Urban water management Geothermal energy policy Organizational ambidexterity . His recent articles highlight trends in sustainable technology, policy framing, and data-driven governance. Scientific contributions include Leadership in analyzing emerging technologies Public engagement through media analysis Frameworks for organizational resilience . No explicit awards or student supervision details are provided.

• Digital media systems
• Political communication
• Populist rhetoric
• +5 more

Sina Julia Blassnig is a Full Professor at the Institute of Digital Communication and Media Innovation (IDCMI), University of Fribourg. Her research focuses on digital journalism , populist communication , and news recommender systems . She explores intersections between media systems , AI ethics , and user behavior in digital environments. Research Interests: Digital media systems Political communication Populist rhetoric Algorithmic journalism AI in news production Media effects Projects: Generative Visual AI in Swiss Journalism (FNS-funded, 2026–2030): Examines AI-generated visuals in journalism. Gratis-Abos für Jugendliche (2024–2026): Evaluates free subscription models in Swiss media. Crowding Out (completed 2025): Analyzed SRF News' impact on private media. Labs/Teams: Affiliated with the Medialab and IDCMI , focusing on digital communication innovation.

• Data Analysis
• Multivariate Statistics
• Categorical Data Analysis
• +5 more

Teresa Calapez serves as Associate Professor and Director of the Department of Quantitative Methods for Management and Economics at ISCTE Business School, ISCTE - University Institute of Lisbon. She concurrently holds an Associate Researcher position at BRU-Iscte's Business Research Unit within the Data Analytics Group. Her academic qualifications include: Bachelor's degree in Mathematics (Statistics, Operational Research, Computing), Faculty of Sciences, University of Lisbon (1986) Master's degree in Statistics and Operational Research, Faculty of Sciences, University of Lisbon (1991) PhD in Quantitative Methods, ISCTE (2004) Her research centers on multivariate statistical methods for categorical data applied across labor economics and renewable energy sectors. She investigates work autonomy dynamics , job satisfaction determinants , and renewable energy partnership strategies using advanced data analysis techniques. Her methodological expertise in Likert-scale optimization and categorical variable analysis underpins empirical studies on Portuguese banking satisfaction and UFC fan engagement. Recent publications reveal growing specialization in renewable energy business models and workplace polarization effects , with significant contributions to European labor studies. Her statistical methodology work consistently informs applied research in socioeconomic contexts. She actively collaborates with GIESTA (Statistical Research Group), DINÂMIA (Center for Socioeconomic Change Studies), and the Portuguese Statistical Society, bridging theoretical statistics with real-world business and policy applications.

• Teacher Education
• Professional Development in Higher Education
• Research-Teaching Nexus
• +4 more

Rita Tavares de Sousa is a Portuguese educational researcher with dual appointments as a Contracted Researcher at Universidade Católica Portuguesa's School of Education and Psychology (2024–current) and Invited Assistant Professor at Universidade do Porto. Holding a European PhD in Educational Sciences (2021) focused on research-teaching integration in teacher education, she has participated in international mobilities at the University of Cumbria and Universidade Rio de Janeiro. Her research community IDEAFor (which she coordinates) and affiliation with OBVIE highlight her engagement with teacher identity, intergenerational dialogue, and educational innovation. PhD in Educational Sciences (2021), Universidade do Porto Mestrado Integrado (2009), Universidade do Porto Licenciatura (2008), Universidade do Porto Her research focuses on teacher professional development , intergenerational education , and ICT applications for vulnerable populations, particularly aging societies. Current projects include BRIDGE (intergenerational teacher development) and MIIT (teacher education internationalization). She also contributes to ambient assisted living research through the ActiveAdvice platform. Recent publications reveal trends in teacher education reform , digital education , and support systems for caregivers . These works employ biographical-narrative methodologies and cross-national comparisons across Portugal, England, and Brazil. 2023 Prémio Práticas Pedagógicas Inovadoras, Universidade do Porto 2014 FCT PhD Scholarship recipient Active in academic leadership, she coordinates IDEAFor, participates in the European Education Policy Network , and serves on scientific committees for conferences like ECER and ATEE. Her teaching portfolio includes courses on intergenerational education , teacher supervision , and research methodologies at master's and bachelor's levels.

Corbinian RuckerbauerView profile

Researcher

• Digital Rights
• Surveillance
• Democracy
• +3 more

Corbinian Ruckerbauer is a Senior Policy Researcher at Interface (formerly Stiftung Neue Verantwortung), focusing on the intersection of Digital Rights, Surveillance, and Democracy . His work examines the legal and ethical implications of intelligence activities, particularly those involving military and cybersecurity sectors. Institution: Interface Programme: Digital Rights, Surveillance and Democracy Education: Master's in European Studies, Europa-Universität Viadrina Sciences Po Paris Galatasaray Üniversitesi Istanbul Research Interests center on the collaboration between public and private actors in the security sector, with a focus on safeguarding democratic principles and individual rights. His work addresses issues like automated data analysis , intelligence oversight , and commercial data procurement . Recent Publications highlight trends in surveillance practices, including the use of geolocation data and automated tools by intelligence agencies. These works advocate for stricter legal frameworks and oversight mechanisms.

Uwe RemerView profile

Research Fellow

• Political participation
• Dialogue-oriented citizen participation
• Political attitudes
• +7 more

Uwe Remer is a Research Fellow at the Institute of Social Sciences, Department of Computational Social Science at the University of Stuttgart. His work focuses on the intersection of political science and computational methods, with particular emphasis on citizen participation mechanisms across various political levels. Remer has established himself as a leading researcher in dialogue-oriented forms of citizen participation in Baden-Württemberg, contributing significantly to understanding how these processes function within democratic systems. Remer's research interests center on political participation, particularly examining dialogue-oriented citizen engagement, political attitudes, and voting behavior through advanced quantitative methods. He specializes in applying computational social science techniques including automated data generation from online sources, georeferenced data analysis, Text-as-Data approaches, machine learning, and time series analysis. His methodological expertise spans both R and Python programming environments, which he integrates into his teaching and research workflows to analyze complex political phenomena. Analysis of Remer's recent publications reveals a consistent focus on participatory democracy at the municipal level, particularly in Baden-Württemberg. His work demonstrates sophisticated methodological approaches combining traditional political science frameworks with computational techniques. The research shows particular interest in how different forms of participation (electoral, direct democratic, and dialogic) interact and influence each other within local governance structures. His scholarship increasingly incorporates machine learning and natural language processing methods to analyze citizen participation data at scale.

Merlin SchaefferView profile

Professor

• Immigration
• Ethnic stratification
• Political sociology
• +4 more

Merlin Schaeffer is a Professor in the Department of Sociology at the University of Copenhagen's Faculty of Social Sciences. His research focuses on how international immigration transforms societies, particularly examining how democracies navigate ethno-racial diversity and foster social cohesion across ethnic boundaries. Currently, he investigates citizens' clashing views on ethno-racial discrimination using field experiments, surveys, and game-behavioral methods. Education: Dr. in Social and Behavioral Sciences, University of Amsterdam (2009-2012) MA in Social Sciences, Humboldt University of Berlin (2006-2008) BA in Social Sciences, Humboldt University of Berlin (2003-2006) Schaeffer's research interests center on immigration, ethnic stratification, political sociology, quantitative methods, and discrimination. His work employs diverse social theories and research methodologies to understand challenges to equality in increasingly diverse societies. He examines how cultural distance affects immigrant integration, the relationship between ethnic diversity and social trust, and the cognitive processes behind perceptions of discrimination. His recent publications reveal a strong focus on methodological rigor in studying social phenomena, with particular attention to experimental approaches for measuring discrimination and understanding integration processes. His work spans multiple disciplines including sociology, political science, and social psychology, often employing quantitative methods to address complex social questions about diversity and cohesion. Scientific Awards: ASA Outstanding Article Publication in Mathematical Sociology Award (2018) ASA Distinguished Contribution to Scholarship in Population Award (2017) DGS Anatol Rapoport Prize (2016) Runner-up to the ESR Prize for the Best Article of the Year (2020) Schaeffer serves as Editor of the European Sociological Review (since 2024) and previously edited the Journal of Ethnic and Migration Studies (2018-2023). His research has received significant attention, with multiple publications picked up by news outlets, blogged about, and referenced in policy sources and Wikipedia pages. At KU, he teaches statistical methods, courses on race/ethnicity/discrimination, and theory-oriented sociology courses including Multiple Regression and Fundamentals of Causal Inference, and Sociology of Discrimination. He maintains an active external position as Research Fellow at the WZB Berlin Social Science Center since March 2019.

Luis Navarro ArdoyView profile

Adjunct Professor

• Political Sociology
• National Identity
• Social Media Analysis
• +6 more

Luis Navarro Ardoy is an Adjunct Professor at the Universidad Pablo de Olavide within the Department of Sociology under the College of Social Sciences . He actively contributes to research on national identity, penal punitiveness, and family sociology through publications and methodological innovations.

• Affect and social cognition
• Interpersonal behaviour
• Social perception
• +6 more

Scientia Professor Joe Forgas is a distinguished academic at the School of Psychology, University of New South Wales (UNSW), Sydney. With a career spanning several decades, he has established himself as a leading researcher in social psychology, particularly in the domain of affect and social cognition. His work has been recognized with prestigious awards including the Alexander von Humboldt Research Prize (1994), Australian Research Council Special Investigator Award (1996), and the Australian Psychological Society Distinguished Scientific Contribution Award (2004). Professor Forgas completed his BA (Hons.) at Macquarie University in 1974, followed by a D.Phil. from the University of Oxford in 1977, and a D.Sc. from the same institution in 1990. His academic journey has been marked by extensive scholarly contributions, with numerous books, edited volumes, book chapters, and journal articles published throughout his career. His primary research interests focus on affect and social cognition, interpersonal behavior, social perception, person memory and attributions, cognitive and interactional theories of personality, political perception and voting behavior, verbal and nonverbal communication, group behavior and group judgements, and multidimensional scaling methods in psychology. Professor Forgas is particularly renowned for developing the Affect Infusion Model (AIM), which explains how mood states influence cognitive processing and social judgments. His recent work has explored the relationship between mood states and various cognitive and social processes, including humor production, gullibility, ingratiation strategies, language processing, and economic decision-making. Professor Forgas has demonstrated that negative mood states often enhance certain cognitive processes, challenging the common assumption that positive mood is universally beneficial. Alexander von Humboldt Research Prize, Germany, 1994 Australian Research Council Special Investigator Award, 1996 Australian Psychological Society Distinguished Scientific Contribution Award, 2004 Australian Psychological Society Early Career Award, 1982 Professor Forgas has supervised numerous students throughout his career and has been involved in significant research grants that have advanced our understanding of how affective states influence social cognition and behavior. His work has important implications for various applied domains including legal settings, political decision-making, and interpersonal communication. He has established a productive research laboratory at UNSW that has produced groundbreaking work on the interplay between emotion and cognition. His research team has conducted numerous experimental studies examining how transient mood states influence memory, judgment, and social behavior across diverse contexts.

• Criminal Law
• Criminal Procedure
• Cyber Law
• +5 more

Gregory Brazeal is an Associate Professor at the University of South Dakota School of Law. He specializes in Criminal Law, Criminal Procedure, Cyber Law, and Law & Humanities, with a focus on rural mass incarceration and digital privacy. His scholarship integrates legal theory with interdisciplinary insights from philosophy, literature, and political economy. Education: PhD in English (Cornell, 2020), JD (Harvard, 2010), BA in English (Stanford, 2001) His research spans legal institutionalism, constitutional faith, and the narrative construction of criminality in war literature. Recent articles examine machine subjectivity through Heidegger, discriminatory mass surveillance, and rural criminal justice politics. His book The Hero and the Victim analyzes Iraq War narratives and international humanitarian law. Brazeal has presented at the Central States Law Schools Association Conference (2025), Law and Rurality Workshop (2024), and AALS Convention (2024). He previously served as a public defender, Forrester Fellow, and U.S. Army Reserve Judge Advocate (Major, 2010-2018).

Dieter StiersView profile

Researcher

• Electoral Behavior
• Comparative Politics
• Quantitative Research Methods
• +1 more

Dieter Stiers is a postdoctoral researcher at KU Leuven, Belgium, affiliated with the Voting and Democracy unit and supported by the Research Foundation Flanders (FWO). His work focuses on electoral behavior, comparative politics, and quantitative research methods, with a regional emphasis on Belgium's political dynamics. Education: Not explicitly detailed in the provided texts. His research spans critical themes such as the impact of compulsory voting abolition, economic indicators on voting behavior, and regional cleavages in divided societies. Recent projects include studies on electoral accountability in extreme conditions and the pacification of regional fault lines through mainstream party-voter interactions. His publications reveal trends in voter congruence, anti-immigrant sentiment measurement, and the role of education in political information processing. Collaborative efforts include technical reports for CSES Belgium 2024 and analyses of ticket-splitting in federal elections. As an educator, he teaches Quantitative Research Methods and Political Sociology , though no specific teaching awards or student lists are mentioned.

Taegyoon KimView profile

Assistant Professor

• Digital Politics
• Political Communication
• Science and Technology Policy
• +3 more

Taegyoon Kim is an Assistant Professor at the School of Digital Humanities and Computational Social Sciences and holds a joint appointment at the Graduate School of Data Science at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. Previously, he was a postdoctoral fellow at the Center for Science of Science and Innovation within the Kellogg School of Management at Northwestern University. He earned his Ph.D. in Political Science and Social Data Analytics from Pennsylvania State University. Education: Ph.D. in Political Science and Social Data Analytics, Pennsylvania State University Research Interests: His work integrates computational statistics, experimental methods, and large-scale data analysis to investigate digital politics, political communication dynamics, and science-policy interfaces. Key focus areas include violent political rhetoric on social media platforms, natural language processing applications in political contexts, and the interplay between technology, American politics, and science governance. His methodological approach emphasizes combining theoretical frameworks with advanced data science techniques. Advising: Actively recruiting motivated students for M.S. and Ph.D. programs in Computational Social Science and Data Science through dual channels at KAIST's School of Digital Humanities and Computational Social Sciences and Graduate School of Data Science. Seeks candidates passionate about merging political theory with computational methodologies for large-scale data analysis. Research Group: Leads a computational social science laboratory evidenced by active GitHub repositories including NLP coursework (nlp_24spring, nlp_25spring), political rhetoric analysis (violent_political_rhetoric_on_twitter), and digital democracy projects (dem_digital_23fw). Maintains significant research presence through 152 annual GitHub contributions and public code sharing.

• Social Rights
• Labor Law
• Social Security Law
• +5 more

Prof. Dr. Zeynep Şişli is a faculty member at the Faculty of Law , Izmir University of Economics , holding the academic rank of Professor since 2021. She previously served as an Assistant Professor (2009-2015) and Associate Professor (2015-2021) in the Department of Business Administration before transitioning to her current role in the Law Faculty. Education: Ph.D. in Labor Economics and Industrial Relations (2007), Dokuz Eylül University M.Sc. in Labor Economics and Industrial Relations (2002), Dokuz Eylül University J.D. (1985), Dokuz Eylül University Faculty of Law Her research focuses on Social Rights, Labor Law, Social Security Law, and Occupational Health and Safety Law , with a comparative analysis of legal frameworks between Turkey and the U.S. Her work often intersects with Human Rights Law , Gerontology , and International Labor Standards . Key trends in her 15 most recent publications (2000-2024) include: Comparative legal analysis of occupational health and safety systems Workplace protections for elderly and vulnerable workers Impacts of labor subcontracting and worker identity Healthcare labor rights and physician work conditions Legal frameworks for child labor and marriage State responsibilities in worker health under ILO conventions She has received the TUBİTAK 2219 grant for her research on occupational health and safety enforcement. Her international experience includes a Visiting Researcher role at the UCLA Institute for Research on Labor and Employment (2016-2017).

Peter Nicolai AashamarView profile

Researcher

• Social Studies Didactics
• Democratic Citizenship
• Curriculum Studies
• +3 more

Peter Nicolai Aashamar is a researcher at the Department of Teacher Education and School Research , University of Oslo. His work focuses on social studies didactics and democratic citizenship education in Nordic educational contexts. Current research examines classroom dynamics around democratic values and curriculum implementation. Active in projects like EDUCATE (Subject Renewal Evaluation) and LISE (Linking Instruction and Student Experiences). Combines fieldwork with analysis of educational frameworks and digital competencies. Research Interests center on: Development of democratic citizenship through social studies Implementation of "powerful knowledge" in curricula Reduction of textbook dependency in secondary education Integration of digital competencies in cross-subject contexts Publication Trends show emphasis on: Democracy-focused pedagogy in Nordic classrooms Algorithmic thinking across educational levels Exploratory teaching methods in secondary education Textbook-free instructional strategies Projects include comprehensive evaluations of Norwegian educational reforms and classroom practice innovations.