People
Faculty
Oscar J. Maldonado C.
Oscar Javier Maldonado Castañeda is Associate Professor in the Department of Sociology at Universidad del Rosario (Bogotá, Colombia). He has a Ph.D. in Sociology from Lancaster University and has been postdoctoral researcher at the Institute for Technology and Social Change (TEMA) at Linköping University (Sweden), visiting researcher at the TANTLab (Digital Methods Laboratory) at Aalborg University in Copenhagen (Denmark), visiting professor in the Social and Human Sciences Graduate School at the National University of Colombia, Fellow of the Summer Program in Social Science at the Princeton Institute of Advanced Studies -IAS- (2020-2023) and Global South Visiting Fellow at the College of Arts and Social Sciences, Australia National University (2025).
Victor M. Hernandez L.
Sociologist from Universidad del Rosario, with a Master's degree in Applied Statistics and Data Science from Universidad El Bosque, and a Specialization in Artificial Intelligence from Universidad Javeriana. He is the Chair of the undergraduate degree in Sociology at the Fundación Universitaria del Área Andina. He has extensive experience as a lecturer at various universities in Bogotá, teaching subjects such as data visualization, data science, computational sociology, and research methodology. His research interests focus on the analysis of machine learning algorithms for classification automation, the use of programming in research, and education, among others. He has worked as a consultant on business innovation and as a methodological consultant for public opinion analysis projects.
Isabella Jaimes
Sociologist and Political Scientist from Universidad del Rosario. She is currently a PhD student in Information at the University of Toronto and holds a Master’s degree in Science and Technology Studies (STS) from York University, Toronto, Canada. She has worked as a lecturer at Pontificia Universidad Javeriana, where she taught courses on data narrative visualization and strategic information for organizations. Her research examines how digital platforms shape domestic work and care economies among Latina immigrant workers. Drawing on feminist STS and human–computer interaction, she studies platform-mediated labour, informal infrastructures of safety and accountability, and worker-centered technological design.
Alejandro Sarria
Psychologist from Universidad del Los Andes. PhD student in the department of sociology at Duke University, where He is member of the Worldview Lab and the Polarization Lab. Alejandro is interested in the use of statistical and computational methods to study politics and culture. Currently, his research focuses on modelling the behavior of political ideology and other cultural systems through natural language processing, statistical methods and cross-cultural analysis. Before Duke, he got a master of arts in Computational Social Science at the University of Chicago.
Sergio Sánchez
Sociologist from Universidad del Rosario. He holds a Master degree in Economics for public policy. Sergio is an expert consultant in Social Appropriation of Knowledge (SAK) and innovation in healthcare. He leads at IDCBIS (Instituto Distrital de Biotecnología e Innovación en Salud) BioSignal, a mHealth system designed to preventively mitigate the risk of suicide among young people in Bogotá, integrating digital phenotyping and machine learning.Speakers
Mathieu Jacomy
Mathieu Jacomy is a computational social scientist and assistant professor at Aalborg University, where he is affiliated with the Department of Culture and Communication, the Techno-Anthropology Lab, and MASSHINE. He is widely recognized for his contributions to digital methods, network visualization, and tool building for the social sciences and humanities. Before joining Aalborg, he worked as a research engineer at the médialab of Sciences Po, a major hub for digital social research and controversy mapping. Jacomy is best known internationally as one of the key developers associated with Gephi and as the lead author of the influential ForceAtlas2 article, which helped establish one of the most widely used layout algorithms in visual network analysis. His doctoral thesis, Situating Visual Network Analysis (Aalborg University, 2021), offers a major methodological reflection on how network images are interpreted, what they make visible, and how visual exploration can function as a form of inquiry. More recently, his work has extended to computational methods for studying AI and language models, including research on LLM self-consistency and the epistemic limits of machine-generated knowledge.