Rolando Gonzales Martinez is a postdoctoral researcher at the Netherlands Interdisciplinary Demographic Institute (NIDI) and a Researcher at the Oxford Poverty & Human Development Initiative (OPHI) within Queen Elizabeth House at the University of Oxford. His work focuses on multidimensional poverty indices and data visualization. PhD from Universitetet i Agder (Norway) MSc in Applied Statistics from University of Alcalá (Spain) Rolando's research integrates socio-economic development, finance, and machine learning. His methodological expertise includes Bayesian approaches, agent-based modeling, and mathematical modeling applied to poverty analysis and financial systems. His recent publications explore applications of Bayesian machine learning in nanofinance, multidimensional poverty trends, and environmental factors in viral transmission. He has also contributed to understanding homophily in financial groups and inequality dynamics under inflation shocks. Rolando previously held postdoctoral positions at CASUS (Germany), University of Groningen, Universitat Autònoma de Barcelona, and collaborated with international organizations like UNFPA and the Italian Agency for Development Cooperation. At OPHI, he contributes to the Global Multidimensional Poverty Index (MPI) and longitudinal poverty analysis projects.
Rosetta Lombardo is a Researcher at the Department of Economics, Statistics and Finance 'Giovanni Anania' (DESF) at the University of Calabria. She holds a degree in Economic and Social Science (1992, cum laude), a Master of Arts in Economic and Social Studies (University of Manchester, 1995), and a Ph.D. in Political Economy (University of Naples 'Federico II', 2001). Ph.D., Political Economy, University of Naples 'Federico II' (2001) MA, Economic and Social Studies, University of Manchester (1995) B.S., Economic and Social Science, University of Calabria (1992) Research Interests : Human capital and intergenerational mobility, social norms and cooperation, economics of institutions, corporate social responsibility, and development economics. Her work spans regional sustainability, crime diffusion, and the role of social capital in economic performance. Recent Publications highlight environmental economics (tourism impacts, CO2 emissions), behavioral economics (gender and public speaking), and institutional analysis (trust, governance). She collaborates on projects involving Italian regional policy and EU structural funds. Labs & Research Groups : She contributes to the 'Divari di produttività, innovazione e politiche di sviluppo' group, focusing on productivity, innovation, and cohesion policies. Her lab activities include the Laboratorio di Analisi Economica and Laboratorio di Economia dello Sviluppo Regionale at DESF.
Camilla Brekke is a Professor at the Department of Physics and Technology , UiT The Arctic University of Norway, with a focus on satellite remote sensing and Earth observation using Synthetic Aperture Radar (SAR) and optical ocean color monitoring. Former Vice-Rector for Research and Development (2021-2023) and Deputy Rector at UiT, she previously served as Pro-Dean for Research at the Faculty of Science and Technology (2018-2021) and Deputy Director at CIRFA (2019-2021). Academic degrees from the University of Oslo (MSc in 2001, PhD in 2008) Former roles at the European Space Agency (ESA) and the Norwegian Defence Research Establishment (FFI) Her research spans algorithm development for multidimensional data analysis, integrated remote sensing and modeling for Arctic applications, and marine pollution/oil spill detection. Recent work includes machine learning for satellite data harmonization in the Barents Sea and SAR-based sea ice discrimination near oil platforms. Current affiliations include the LIE-STØRMER CENTER and the Norwegian Polar Institute (2023-), where she leads national Arctic Earth observation initiatives. She collaborates on projects involving ship/fly-based data collection, laboratory experiments, and oil drift simulations for environmental monitoring.
Scott Walfield is an Associate Professor in the Department of Criminal Justice and Criminology at East Carolina University's College of Arts and Sciences. His research focuses on criminal justice policy, sexual violence studies, law enforcement effectiveness, and crime data analysis. He maintains active membership in professional organizations including the American Society of Criminology and Academy of Criminal Justice Sciences. His research examines critical issues in criminal justice including: sexual violence victimization patterns, law enforcement response effectiveness, sex offender policy implementation, and racial/ethnic disparities in crime data. Walfield's work employs multidimensional analysis of justice system processes with particular focus on marginalized populations. Publications demonstrate consistent focus on criminal justice policy evaluation, victim advocacy, and law enforcement practices. Recent work examines male sexual victimization reporting patterns, SORNA implementation challenges, and methodological issues in race/ethnicity crime data collection. Honors & Awards: Chair's Faculty Excellence Award (2019) SAGE Junior Faculty Professional Development Teaching Award (2018) Research Leadership: Principal Investigator for NSF-funded projects examining exceptional clearance practices (2022-2023) and justice-involved reentry barriers (2020-2021). Co-PI for multi-level analysis of violence against women (2018). Served on Pitt County Reentry Council (2017-2022) and as peer reviewer for major criminal justice textbooks.
Michele Gallo is a Full Professor of Statistics at the Department of Human and Social Sciences , University of Naples L'Orientale, where he has taught statistical methods to master's students since 2020. His academic career includes roles as Associate Professor (2005-2011) and Researcher in Statistics. He currently serves on the Board of Directors at his university and the Steering Committee of the Italian Statistical Society. His research focuses on Multivariate Data Analysis , Tensor Analysis , Compositional Analysis , and Rasch Models , with applications in quality management and social sciences. Recent publications address robust multiway data analysis, sustainable sports metrics, and statistical software development in R. Key trends in his 15 most recent articles (2023-2025) include: Advancements in tensor decomposition methods for multidimensional data Applications of compositional data analysis in sustainability research Development of open-source statistical software packages Integration of machine learning with classical statistical techniques Evaluation frameworks for service quality and innovation
Prof. Dr. Minou Banafsche is Professor of Public Law, especially Social Law at the University of Kassel, where she maintains an active research and teaching profile. Her academic work focuses primarily on social law with special emphasis on disability rights, child and youth welfare, and the implementation of international human rights frameworks within German legal structures. She has established herself as a leading scholar through extensive publications and editorial work in her field. Her research interests center on the intersection of social security law, disability rights, and constitutional principles. Banafsche examines how German social law aligns with international standards, particularly the UN Convention on the Rights of Persons with Disabilities. She investigates critical areas including independent living frameworks, employment integration for disabled persons, administrative cooperation in social services, and the constitutional dimensions of social welfare guarantees. Her work often addresses the tension between theoretical legal frameworks and practical implementation in social administration. Banafsche's scholarly output demonstrates consistent engagement with contemporary legal challenges in social policy. Her publications reveal a clear progression toward examining the multidimensional aspects of disability rights, increasingly focusing on intersectional discrimination, community inclusion, and the constitutional foundations of social rights. She has developed particular expertise in analyzing how administrative structures can better facilitate social participation while respecting constitutional principles. She maintains active professional memberships in the German Social Law Association, German Social Court Day, German Lawyers' Association, and the Association for the Promotion of Research and Knowledge Transfer in Social Law and Social Policy. Her editorial work includes significant contributions to key publications in social law, demonstrating leadership in shaping academic discourse in her field. Her academic journey includes a dissertation on 'The Law of Service Provision in Child and Youth Welfare Between Corporatism and Competition' from the University of Regensburg, which established her research trajectory examining the relationship between social service provision models and constitutional principles. She has since developed a robust research program examining the evolving landscape of social law in Germany within international human rights frameworks.
Frank van Tubergen is Professor of Migration and Intergroup Relations at Utrecht University and Theme Leader of Migration and Migrants at the Netherlands Interdisciplinary Demographic Institute (NIDI). His research focuses on the integration of immigrants and their children, examining demographic patterns, religious dynamics, language acquisition, and social inequality. He co-coordinated the landmark Children of Immigrants Longitudinal Study in Four European Countries (CILS4EU) and leads projects including 'Developing a national migrant panel dataset' and 'Work and retirement of older migrants'. Van Tubergen's research examines multidimensional aspects of migration including: Intergroup relations and social cohesion dynamics Religious adaptation in migration contexts Language acquisition and cultural integration Labor market integration and socioeconomic inequality Refugee decision-making in conflict situations Cross-generational transmission of cultural values His publications demonstrate a consistent focus on quantitative analysis of migration patterns across European contexts, with recent work emphasizing discrimination mechanisms, refugee integration trajectories, social network analyses, and experimental studies of intergroup attitudes. The research consistently employs longitudinal and cross-national comparative designs. Van Tubergen has received significant recognition including: Veni (2005) and Vidi (2009) grants from the Dutch Research Council (NWO) Prestigious Ammodo KNAW Award (2015) Fellowship in the European Academy of Sociology Awards from the German Sociological Association and Dutch Sociological Association Honors from IPUMS and Royal Holland Society of Sciences His research has been supported by major grants from NWO, European Commission (Norface, Horizon2020), Utrecht University, and Dutch Ministry of Social Affairs. As theme leader at NIDI, he coordinates interdisciplinary teams investigating migration patterns using national registry data and longitudinal surveys.
Benjamin A. Saunders is an Associate Professor in the Department of Psychology at Long Island University, Brooklyn, within the College of Liberal Arts and Sciences. He founded and directs the Politics, Race, and Ideology Collaboratory (PRIDECo). Dr. Saunders' educational background includes: B.A. from the University of Michigan M.A. from the University of Illinois at Chicago Ph.D. from the University of Illinois at Chicago His research examines how people reason about inequality, focusing on (1) how prejudice and discrimination stem from personality, and (2) how dispositional variability in appraisals of the status quo predict sociopolitical attitudes. His work covers authoritarianism, political ideology, system justification, immigration, climate change, racial policy, and the psychology of MAGA, using social cognitive methods and projective techniques. Recent publications (2025-2004) span social and political psychology, with a focus on system justification, authoritarianism, and prejudice. Key themes include the psychological effects of racial system justification, critiques of left-wing authoritarianism, and the role of system-justifying beliefs in social issues like catcalling and stop-and-frisk policies, often bridging theory and real-world challenges. Dr. Saunders has secured several research grants: Modern Multidimensional Authoritarianism: $15,000 SEED Grant (Principal Investigator, 2019) Coping with catcalling: $1,248 Psi Chi Undergraduate Research Grant (Co-investigator, 2015) Stereotype threat and academic disengagement: $920 Intramural Research Support (Principal Investigator, 2009) He directs the Politics, Race, and Ideology Collaboratory (PRIDECo), which fosters interdisciplinary research on the intersections of politics, race, and ideology.
Carlos Arcila Calderón is a Professor in the Department of Sociology and Communication at the University of Salamanca, Spain. He is a member of the Audiovisual Content Observatory (OCA) and serves as Editor of the Electronic Yearbook of Studies in Social Communication "Dissertations." His academic career spans multiple institutions across Europe and Latin America, including previous teaching positions at the University of Rosario and University of the North in Colombia, University of Los Andes in Venezuela, and visiting professorships at institutions including Aristotle University of Thessaloniki, Northwestern University Qatar, Pompeu Fabra University, Tel Aviv University, and several others across Europe and Latin America. Dr. Arcila Calderón holds a European Doctorate in "Communication, Social Change and Development" from the Complutense University of Madrid, along with Master's degrees in Data Science and Journalism from the Rey Juan Carlos University (URJC). His educational background reflects his interdisciplinary approach that bridges communication studies with computational methods. His research focuses on cutting-edge areas at the intersection of digital communication and social issues. Arcila Calderón has established himself as a leading scholar in computational analysis of communication, particularly in the areas of hate speech detection, social media analysis, and the application of big data methodologies to communication research. His work often examines how digital platforms shape public discourse around sensitive topics like migration, gender identity, and social inclusion. Through innovative methodological approaches combining computational linguistics with traditional social science methods, he has contributed significantly to understanding how online communication reflects and influences societal attitudes. Analysis of his recent publications reveals a clear trajectory toward increasingly sophisticated computational methods for analyzing large-scale social media data. His research has evolved from basic content analysis to advanced machine learning applications for hate speech detection, sentiment analysis across multiple stigmatized groups, and predictive modeling of social phenomena. The interdisciplinary nature of his work bridges communication science, computer science, and social psychology, creating a unique methodological framework for studying digital communication phenomena. Evaluating Hate Campaigns (European project) Enhanced migration measures from a multidimensional perspective (HumMingBird) (Horizon 2020) The Future of Digital Citizenship in Qatar (Qatar National Research Fund) The Triangle of Polarization, Political Trust and Political Communication (TRI-POL) (MINCINN) What are Opinions? (OPINION) (COST) Professor Arcila Calderón currently leads several significant research projects, including the European project "Evaluating Hate Campaigns" and serving as local principal investigator for the Horizon 2020 project "Enhanced migration measures from a multidimensional perspective (HumMingBird)," funded by the European Commission. He is also part of research teams for projects including "The Future of Digital Citizenship in Qatar," "The Triangle of Polarization, Political Trust and Political Communication (TRI-POL)," and "What are Opinions? Integrating Theory and Methods for Automatically Analyzing Opinionated Communication (OPINION)." Additionally, he serves as principal investigator for Venezuela in the international projects "Worlds of Journalism Study" and "Journalistic Role Performance." He has established and leads research teams focused on computational communication analysis, with particular emphasis on monitoring and analyzing hate speech in digital environments. His laboratory work involves developing and applying machine learning algorithms for large-scale text analysis, sentiment detection, and topic modeling of social media content. These technical capabilities support his broader research agenda examining how digital communication shapes societal attitudes toward vulnerable populations.
Michael Proctor is an Associate Professor in the Department of Linguistics at Macquarie University, affiliated with the Centre for Language Sciences (CLaS) and multiple research centres including the Data Horizons Research Centre and Hearing Research Centre. His research focuses on speech production and perception, phonological organization, and language acquisition across diverse populations. Utilizing advanced technologies like MRI, electromagnetic articulography, and ultrasound, his work examines speech articulation dynamics in adults, children, L2 learners, and clinical populations. Key affiliations: CLaS, Data Horizons, Hearing Research Centre Research tools: MRI, EMA, ultrasound, eye-tracking Research interests include: Vowel and consonant articulation Language variation (Australian English, Indigenous languages) Clinical speech analysis (Parkinson’s disease, speech disorders) Recent projects investigate vocal tract configuration in real-time MRI, lateral consonant production, and cross-linguistic phonological structures. Collaborations span speech science, clinical research, and interdisciplinary data governance initiatives. His work bridges experimental and clinical applications to advance understanding of speech mechanisms and language evolution. Labs/teams: Leads research groups in phonetics/phonology within CLaS, contributes to VisVoiS (Visualising Voice and Speech) and Kaytetye language structure projects. Supervises postgraduate research through Macquarie University and IDEALAB platforms.
Professor Meera Tiwari specializes in poverty reduction, gender equity, and global development policy at the University of East London. Her research employs participatory methods like theatre-based data collection in menstrual health studies and analyzes women's economic empowerment in rural India. Key publications address SDG implementation challenges, reproductive rights, and community-led poverty alleviation strategies across India and East London.
Seger Breugelmans is an Associate Professor at Tilburg University's Department of Social Psychology (Tilburg School of Social and Behavioral Sciences). His research focuses on emotion measurement, cross-cultural comparisons, greed, and social dilemmas. He has contributed to over 100 publications since 1998, with recent work exploring the moral dimensions of regret and greed's ethical implications. His projects include the Compose 3.0 initiative (2023–2025), addressing smart freight and decision-making in logistics. Notable datasets include studies on envy-driven schadenfreude and cultural variations in pride expression. Breugelmans collaborates globally, with active research in the Netherlands, Russia, and Turkey. His research themes coalesce around understanding how emotions like guilt, regret, and greed shape social behavior across cultures. Recent articles highlight greed's role in economic outcomes and moral dilemmas, while earlier work addressed poverty's psychological impacts. He co-authored chapters in Handbook of Ethics and Social Psychology (2025), advancing theories on moral emotions. Despite prolific output, no explicit awards are cited, but his work is widely cited and accessed (e.g., 360+ downloads for 'Greed: What is it good for?'). His advising spans 11 supervised works, though specific student names are not listed. Active collaborations include projects on multiculturalism, retirement decision-making, and experimental asset markets. His lab's focus on emotion-driven behavior integrates experimental methods with cross-cultural frameworks, yielding insights into societal and individual dynamics.
Jacob Kohlhepp serves as Assistant Professor of Economics and John Stewart Fellow at the University of North Carolina at Chapel Hill's Department of Economics within the College of Arts and Sciences. His academic foundation includes a PhD (2023), MA (2020), and BA (2016) in Economics and Political Science from UCLA. PhD in Economics, 2023 - UCLA MA in Economics, 2020 - UCLA BA in Economics & Political Science, 2016 - UCLA His research program centers on labor economics and microeconomic theory , specifically examining how internal human resource decisions shape market dynamics. Kohlhepp's work bridges theoretical frameworks with empirical analysis, particularly in organizational contexts where he investigates task assignment systems, productivity dispersion, and incentive structures. His approach emphasizes identifying 'magic and truth' in economic phenomena through both theoretical modeling and data-driven investigation. Analysis of Kohlhepp's publication trajectory reveals consistent focus on organizational design and labor market interactions , with recent work expanding into public sector labor issues and consumer review systems. His methodological approach combines large-scale administrative data analysis with structural modeling, particularly evident in his salon industry research using millions of task assignments. John Stewart Fellow Kohlhepp teaches advanced courses including ECON 490: Compensation in Organizations at UNC and previously served as instructor and teaching assistant for multiple economics courses at UCLA. His professional experience includes roles as Economic Consultant at Boulevard and Associate Economist at Welch Consulting, where he conducted damage calculations and pay equity analyses. Kohlhepp also organizes the UNC Economics Department's applied micro seminar series and develops educational resources including microeconomic theory notes on monotone comparative statics and moral hazard. His current research leverages novel datasets from salon management systems, government payroll records, and consumer review platforms to investigate organizational behavior within firms and their market implications.
Prof. Jean-Paul Carvalho is an Associate Professor of Economics at the University of Oxford’s New College and Director of the Oxford University Business Ethics Programme (OUBEP). His research focuses on Political Economy and Social Dynamics, combining game-theoretic models with historical analysis. Key areas include the economics of identity, culture, religion, and social norms. He examines how culturally transmitted preferences and belief systems influence structural inequality, political economy under diversity, and extremism. Research Interests: Prof. Carvalho’s work bridges microeconomic theory and historical case studies to explore themes like religious belief dynamics, education/labor market outcomes, and the economic determinants of social institutions. His models analyze how identity-based organizations and networks shape group behavior, with applications to conflicts and policy. Advising & Grants: While specific student/advisor details are not listed, his role at New College and OUBEP suggests active research supervision. Grants and funding sources are unmentioned in the provided data. Labs/Teams: Leads the OUBEP research group focusing on business ethics and economic dynamics.
Arthur Butz is an Associate Professor in the Department of Electrical and Computer Engineering at Northwestern University's McCormick School of Engineering. His research focuses on digital signal processing with a current emphasis on space-filling curves and their diverse applications. He holds a Ph.D. in Control Sciences from the University of Minnesota, and B.S., M.S., and E.E. degrees in Electrical Engineering from MIT. His research interests span digital signal processing, space-filling curves, control sciences, mathematical programming, and algorithm design. Notable contributions include work on rank order processors, systolic computation, and the theoretical foundations of space-filling curves for optimization and signal analysis. His publications reflect a blend of mathematical rigor and engineering applications, particularly in nonlinear systems and filter design. While no formal awards or grants are listed, his work demonstrates sustained innovation in signal processing and mathematical methods. Advising details are unavailable in the provided texts. His academic homepage and CV are accessible via institutional links.
