Census Data Linking Professors and Supervisors

Trevon D. Loganمشاهده پروفایل

استاد

Ohio State UniversityUnited States

Trevon D. Logan is the ENGIE-Axium Endowed Professor of Economics at The Ohio State University and an Associate Dean at the College of Arts and Sciences. He is a Research Associate at the National Bureau of Economic Research and affiliated with multiple OSU centers, including the Initiative in Population Research and the Criminal Justice Research Center. University of Wisconsin-Madison (B.S., Economics, 1999) University of California, Berkeley (M.A., Demography, 2003) University of California, Berkeley (Ph.D., Economics, 2004) His research spans Economic History , Health Economics , and Economic Demography , focusing on: Historical living standards and well-being Racial disparities in health and economics Societal impacts of Green Book establishments Behavioral economics in illegal markets Census data analysis and social change Recent work includes empirical studies on segregation patterns, health outcomes linked to historical discrimination, and quantifying biases in sports betting markets. His publications often employ econometric techniques to analyze historical and contemporary data. Scientific roles and affiliations include: Editorial board member, Explorations in Economic History and Demographic Research Director of the interdisciplinary Green Book Project at OSU Collaborator with international researchers on spatial inequality

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Elien Dalmanمشاهده پروفایل

پژوهشگر

Stockholm UniversitySweden

Elien Dalman is a postdoctoral researcher working at the intersection of sociology and demography at Stockholm University and Lund University. She is affiliated with the Stockholm University Demography Unit (SUDA) and the Center for Economic Demography (CED) at Lund University. Her research focuses on persistent and structural social inequalities, using linked Swedish census and register data from 1880 to the present. Dr. Dalman examines intergenerational, institutional, and structural drivers of inequality in educational and labor market outcomes as well as demographic trajectories. Her work investigates how socio-cultural groups (represented by name types including nobility, educated elites, and national minorities), gender, parenthood, and outsourcing of domestic work influence social mobility across generations. Currently, she is leading the research project 'Surnames and social mobility across three centuries,' which analyzes how name information contributes to understanding social mobility patterns over 250 years (1750-2020), exploring whether surnames capture aspects of social background beyond traditional class indicators. Dr. Dalman has supervised bachelor's and master's theses and taught courses in econometrics (using Stata), quantitative data analysis for social sciences (using R), and sociological theory. Her methodological expertise in quantitative analysis of historical and contemporary demographic data makes her a valuable resource for students interested in social inequality and demographic research.

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Barbara Ana Revuelta Eugerciosمشاهده پروفایل

پژوهشگر

University of CopenhagenDenmark

Barbara Ana Revuelta Eugercios is a Guest Researcher at the SAXO-Institute within the Faculty of Humanities at the University of Copenhagen. She is actively involved in the BioHistory Research Group led by Professor Anne Løkke and the Centre for Health Research in the Humanities (CoRE). Her work focuses on historical demographic analysis, particularly examining mortality patterns across different historical periods and geographical contexts. Dr. Revuelta Eugercios earned her Doctorate in History from Universidad Complutense de Madrid in 2011, where she received Summa Cum Laude distinction and the European Doctorate Mention. Her doctoral work examined the Foundling Hospital of Madrid during 1890-1935. She also holds advanced degrees in Contemporary History and Quantitative Research Methods from Spanish institutions. Her primary research interests center on historical demography, with particular expertise in infant mortality, socio-economic differences in mortality, and the history of infant abandonment. She has conducted comparative studies between Copenhagen and Madrid, examining how occupation and socioeconomic status influenced mortality risk in the late 19th and early 20th centuries. Her current work with the Link-Lives project involves transforming archival records into historical big data through advanced computational methods and AI-assisted techniques. Her recent publications demonstrate a clear progression from traditional historical demographic analysis toward digital humanities approaches, with increasing focus on computational methods for analyzing historical population data. The Link-Lives project represents a significant shift toward leveraging machine learning and AI to reconstruct life courses from historical records spanning 1787 to 1968. Extraordinary Doctoral Award from the Faculty of Geography and History, Universidad Complutense de Madrid (2012) Dr. Revuelta Eugercios teaches in the Master's program at the University of Copenhagen, specifically in the course 'Modul 1; Kroppenes politik, kroppenes historicitet.' She supervises Master's theses on social and economic history topics that intersect with population studies and individual life courses, employing both cultural and quantitative methodological approaches. Her current research is supported by a Mobilex Mobility Grant from the Danish Council for Independent Research and FP7 Marie Curie Actions-COFUND. As a key member of the Link-Lives project team, she collaborates on creating comprehensive historical population databases that connect individual records across census, birth, death, migration, and marriage documents. This work has generated significant media attention in Denmark, with numerous press features highlighting the project's value for genealogical research and historical understanding.

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Bogdan Stateمشاهده پروفایل

مدرس

Victoria University of WellingtonNew Zealand

Bogdan State is a Lecturer (Teaching) at the School of Information Management, Victoria University of Wellington. He specializes in computational social science with a focus on the intersection between computer science and social sciences. His academic journey includes MA and PhD degrees in Sociology and an MS in Computer Science from Stanford University, plus a BA in History and Sociology from Amherst College. After 12 years working as a data scientist in Silicon Valley companies, he returned to academia full-time in 2025. His research interests center on the complex interaction between computers and social systems. Key areas include using digital trace data to understand social phenomena like migration, examining the geography of social networks, analyzing social ties at micro-sociological levels, developing socio-technical perspectives on recommender systems, and investigating human-AI interaction differences. Recently, he has developed interest in information behavior and risk management in wilderness settings through his involvement in New Zealand's outdoor community. His publication record demonstrates a consistent focus on digital methods for understanding social phenomena. His work spans computational social science, network analysis, migration studies, and digital demography. His most recent research shows increasing application of advanced computational methods to ecological monitoring and forest canopy analysis, while maintaining his core focus on social network structures and digital communication patterns. At Victoria University of Wellington, Dr. State teaches in the Master of Professional Business Analytics (MBUA) programme, focusing on courses that build real-world analytical skills and introduce students to data science. His teaching portfolio includes courses such as Data, Analytics & Insights; Business Analysis Project; Digital Innovation and Strategy; and Communication and Critical Thinking in Information Management. He returned to academia full-time in 2025 after his industry experience, bringing practical data science expertise to his teaching. Dr. State maintains an active presence in computational social science research, with publications appearing in journals like Social Networks, Social Psychology Quarterly, and PLOS ONE, as well as major conference proceedings including WWW and ICWSM. His work bridges theoretical social science with practical computational methods, making significant contributions to understanding how digital technologies shape and reflect social structures.

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Stelios Michalopoulosمشاهده پروفایل

استاد

London Business SchoolUnited Kingdom

Stelios Michalopoulos serves as Professor of Economics at Brown University's Department of Economics within the School of Social Sciences, affiliated with the Population Studies and Training Center (PSTC) since 2012. His research sits at the intersection of growth, political economy, and development economics, specializing in historical origins of comparative development through unconventional empirical strategies. He leverages historical natural experiments, anthropological sources, and novel economic activity measures to analyze ethnic, linguistic, and religious group dynamics. Key methodologies include geospatial data analysis from anthropological maps and colonial archives. Notable research strands examine educational mobility across faiths in Africa, education's impact on democratic transitions in the DRC, occupational choice dynamics, Mediterranean refugee flows, and foreign fishing impacts on African coastal communities using remote sensing. European Economic Association's Award for Innovation in Teaching (2023) for co-leading the Wheeler Institute's 'African History through the Lens of Economics' lecture series As co-lead of the Wheeler Institute initiative alongside Elias Papaioannou, Nathan Nunn, and Leonard Wantchekon, he developed an open-access course attracting over 27,000 registrations in 2022. Supported by CEPR, STEG, and the European Research Council, this initiative produced 10 main lectures, 10 special lectures, and 3 plenary sessions exploring African development challenges through historical parallels.

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