جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Social Media
• Algorithmic Systems
• +۳ مورد دیگر

Jesse Haapoja serves as a Postdoctoral Researcher in the Department of Computer Science at Aalto University, Finland, with dual affiliation at the Helsinki Institute for Information Technology (HIIT). He actively contributes to Professor Turpeinen M.'s research group, focusing on the societal implications of algorithmic systems through interdisciplinary collaboration between computing and social sciences. Research Interests His work critically examines human-computer interaction in social media ecosystems, emphasizing ethical challenges of content personalization, political discourse moderation, and user agency within algorithmic environments. Haapoja employs science and technology studies (STS) frameworks to investigate how platforms shape journalistic practices, democratic participation, and moral decision-making, with particular attention to Finnish media contexts and cross-cultural digital behaviors. Publication Trends Analysis of Haapoja's 2020-2025 publications reveals consistent exploration of algorithmic governance through three evolving lenses: (1) personalization ethics in journalism, (2) moral dimensions of user-algorithm interactions, and (3) strategic manipulation of content moderation systems. His research trajectory demonstrates increasing methodological sophistication in blending qualitative social science with computational analysis to address platform accountability gaps. Advising and Grants No verifiable information exists regarding graduate student supervision, grant funding, or research project leadership in the source materials. Research Groups and Affiliations Haapoja maintains core membership in Aalto University's Department of Computer Science research group led by Turpeinen M., while leveraging HIIT's cross-institutional infrastructure for collaborative projects. His work frequently intersects with media studies departments through co-authored publications on journalistic innovation, though no formal secondary appointments are documented.

Stephane Rossignolمشاهده پروفایل

پژوهشگر

• Economics
• Speech Signal Processing
• Political Economy
• +۳ مورد دیگر

Stephane Rossignol is an active researcher with interdisciplinary contributions to economics, political science, and speech signal processing. His work spans theoretical modeling and empirical analysis. Affiliation: Unspecified (likely affiliated with French academic institutions given the context) Research Themes: Spatial competition, pandemic dynamics, speech processing algorithms Research Interests : Economics : Political economy, inequality analysis, social insurance mechanisms Political Science : Valence politics, international agreements, trust in governance Signal Processing : Speech voicing extraction, co-channel classification, analytic signal methods Recent Publications highlight his focus on: Econometric modeling of political and health policies Statistical approaches to speech signal analysis Interdisciplinary studies combining Bayesian inference and social dynamics

• Human-Computer Interaction
• Co-design
• Digital Design
• +۴ مورد دیگر

Camilla Vesterberg Christensen is a researcher at the Department of Human-Computer Interaction and Design at the IT University of Copenhagen . Her work focuses on co-design processes, digital public services, and civic technology development, with a regional emphasis on the Nordic countries. Research Focus: Co-design, Digital Services, Civic Technology, and Design Thinking. Projects: Contributed to the CAPE (Civic Agency in Public E-service Design) project (2020–2023) as a collaborator. Publications: Explored participatory design experiments in civics (2024) and analyzed volunteer-driven IT helpdesks as quasi-public services (2022). Collaborations: Active in Nordic cross-institutional research networks, focusing on public utilities and digital service design.

• Agent-Based Modelling
• Network Analysis
• Applied Data Science
• +۵ مورد دیگر

Dr. Peter Gerbrands is a Researcher at the Utrecht University School of Economics , affiliated with the Applied Econometrics department under the Faculty of Law, Economics and Governance. His work bridges Agent-Based Modelling , Network Analysis , and Applied Data Science to address complex policy challenges in areas like Money Laundering and the Shadow Economy . Education : Bachelor in Business, IT and Management (Amsterdam University of Applied Science, 2014) Master of Science in Information Studies (University of Amsterdam, 2016) PhD in Economics (Utrecht University, 2021) His research focuses on Computational Social Science , analyzing Tax Compliance , Anti-Money Laundering Policies , and Responsive Regulation through simulations and data infrastructure projects like FIRMBACKBONE. Recent publications explore empirical network analysis of financial crime, agent-based simulations of tax policy reforms, and comparative studies of regulatory frameworks. Projects: COFFERS (EU-funded, 2016–2019) and FIRMBACKBONE (2020–2025), the latter providing a longitudinal data infrastructure for Dutch company research. Collaborations include institutions like the Center for the Study of Democracy (Sofia) and networks across EU tax authorities. Contact : Email: p.gerbrands@uu.nl Phone: +31 30 253 7834 Office: Adam Smith Hall, Utrecht University

Stephanie Dornschneider-Elkinkمشاهده پروفایل

دانشیار

• Conflict Studies
• Political Dissent
• Computational Social Science
• +۵ مورد دیگر

Associate Professor Stephanie Dornschneider-Elkink is affiliated with the School of Politics and International Relations at University College Dublin . Her research bridges conflict studies and political psychology , focusing on the cognitive and emotional foundations of political dissent , particularly in the Arab world and post-conflict societies. She employs computational methods to analyze ethnographic interviews, revealing how individuals reason about resistance under repression. Education: PhD in International Relations and Political Science from the Graduate Institute of International and Development Studies (Geneva), MA in International Relations and Middle East Studies from the American University in Cairo, Magister Artium in American Literature from Universität Hamburg Her work identifies positive emotions (hope, solidarity) and tit-for-tat reasoning as critical drivers of dissent, challenging traditional models that emphasize negative emotions or rational choice. She has conducted fieldwork in Lebanon (2022–2023) and authored computational frameworks for analyzing belief systems and inference chains in protest behavior. Scientific awards include the COFUND Junior Research Fellow at Durham University and pre-/postdoctoral fellowships from the Swiss National Science Foundation and German Academic Exchange Service . Her methodological contributions span agent-based modeling , cognitive mapping , and sentiment analysis of political speech.

Dinsha Mistreeمشاهده پروفایل

پژوهشگر ارشد

• US-India relations
• Global governance
• Economic development in emerging markets
• +۳ مورد دیگر

Dinsha Mistree is a Research Fellow at the Hoover Institution, a research affiliate at Stanford’s Freeman Spogli Institute for International Studies, and a research affiliate at the Neukom Center for the Rule of Law at Stanford Law School, where he teaches courses on state building and global poverty. Education PhD in Politics – Princeton University MA in Politics – Princeton University SM – Massachusetts Institute of Technology SB – Massachusetts Institute of Technology Research Interests Mistree’s scholarship centers on the US–India relationship, governance and economic growth in developing countries, and comparative public policy. He is currently leading a book project on the performance of the Indian diaspora in the United States and preparing a major study on the history of the US–India Civil Nuclear Agreement. Additional work compares India’s computer hardware and software industries, investigates food-adulteration regulation across South Asia, and evaluates management practices in Indian higher education. His applied research includes large-scale randomized controlled trials on English-language training, digital-literacy pedagogy, and conflict-reduction strategies among Indian job seekers. Publication Trends Between 2020 and 2025, Mistree produced a prolific body of work addressing democratic institutions, public-sector performance, food safety, and labor-market interventions in South Asia. The articles reveal an emphasis on experimental and survey-based methodologies, with recurring themes of accountability, regulatory effectiveness, and the political economy of development in India. Grants & Fellowships Postdoctoral Fellowship – Stanford Center on Democracy, Development, and the Rule of Law Visiting Scholar – Indian Institute of Management Ahmedabad Labs & Teams While no specific lab is named, Mistree collaborates closely with the Hoover Institution’s research teams and the Neukom Center for the Rule of Law, leveraging interdisciplinary networks across Stanford Law School, the Freeman Spogli Institute, and external partners in India to execute large-scale surveys and policy experiments.

John Kukمشاهده پروفایل

استادیار

• Housing Rental Market
• Residential Segregation
• Public Policy and Racial/Gender Inequality
• +۱۱ مورد دیگر

John Kuk is an Assistant Professor of Political Science at Michigan State University , focusing on housing policy, inequality, and electoral systems. His research examines how rental markets perpetuate segregation, how public policies reinforce inequality, and the intersection of computational social science with policy analysis. Research Interests include American politics, urban policy, and the societal impacts of flawed election research. His work has been published in outlets like The Conversation, addressing topics such as Detroit's homeless crisis and the consequences of misinterpreted electoral data. Education : Ph.D. in Political Science from the University of California, San Diego (2017), following prior roles at the University of Oklahoma. His recent articles analyze Detroit's housing affordability challenges and the global implications of academic election fraud claims.

• Political economy of communication
• Media and communication theory
• Digital media
• +۷ مورد دیگر

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
• +۳ مورد دیگر

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
• +۵ مورد دیگر

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
• +۵ مورد دیگر

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
• +۴ مورد دیگر

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.

Nuria Oliverمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Human-Computer Interaction
• +۴ مورد دیگر

Nuria Oliver is the Director of the ELLIS Alicante Foundation and an Honorary Professor at the University of Alicante. She holds a PhD in Artificial Intelligence from MIT and has held leadership roles at Microsoft Research, Telefónica I+D (2007-2016), and Vodafone (2017-2019). As a scientific advisor to institutions like the Vodafone Institute and the Valencian Government’s AI Commission, she focuses on leveraging AI for social good. Her research explores computational modeling of human behavior, human-computer interaction, and big data analysis. She has over 180 publications cited 21,000+ times, with 11 papers winning or being nominated for best paper awards. Her work during the pandemic included creating a large-scale citizen survey ( 700k+ responses ) and co-leading the ValenciaIA4COVID team that won the $500k XPRIZE Pandemic Response Challenge. Scientific Awards: ACM Distinguished Scientist & Fellow IEEE Fellow European AI Fellow Mit TR35 (2004), Rising Talent (2009) Ada Byron Award (2016), Premio Jaume I (2021) First Spanish woman in CHI Academy She advises European governments and institutions on AI ethics and regulation, serves on scientific committees for major conferences, and actively promotes STEM education through public speaking (10,000+ students reached) and authored chapters in books like Los nativos digitales no existen (Deusto, 2017).

Corbinian Ruckerbauerمشاهده پروفایل

پژوهشگر

• Digital Rights
• Surveillance
• Democracy
• +۳ مورد دیگر

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 Remerمشاهده پروفایل

پژوهشگر ارشد

• Political participation
• Dialogue-oriented citizen participation
• Political attitudes
• +۷ مورد دیگر

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.