Dr. Claudia von Vacano is the Executive Director of the D-Lab and the Digital Humanities at the University of California, Berkeley, and is on the board of the Social Science Matrix. She received a Master’s degree from Stanford University in Learning, Design, and Technology. Her doctorate is in Policy, Organizations, Measurement, and Evaluation from UC Berkeley. The Phi Beta Kappa Society, the Andrew W. Mellon Foundation, the Rockefeller Brothers Foundation, and the Thomas J. Watson Foundation, among others, have recognized her scholarly work and service contributions.
Dr. Christopher Hench
Christopher is the Program Development Lead for the D-Lab and Digital Humanities at the University of California, Berkeley. He teaches Python, Bash, and Git workshops and consults on text analysis and web scraping. He is a PhD Candidate in German Literature and Medieval Studies at UC Berkeley and a Data Science Fellow at the Berkeley Institute for Data Science (BIDS). Christopher is interested in computational approaches to formal analyses of lyric and epic poetry. His research has been supported by the Fulbright Program and the DAAD.
Geoff Bacon is a PhD student in the Language and Cognition Lab and Graduate Student Researchers at D-Lab at UC Berkeley. His research focuses on two questions: why languages look the way they do and how people learn to express temporal semantics. To study these, Geoff uses probabilistic models of language, including Bayesian and neural network models, which he programs in Python. At undergrad Geoff studied linguistics, classics and Arabic.
Martin Hadley is currently a Research Technology Specialist at the University of Oxford specializing in data visualization. His background is in biophysics and statistical computing, completing his MPhys at University of Leeds. At University of Oxford, Martin is helping to launch a data visualization service for researchers and is experienced in teaching data science skills to social scientists.
Dr. Rob Mastrodomenico
Dr. Rob Mastrodomenico obtained a BSc in Mathematics and Statistics and PhD in Statistics at the University of Reading. He has spent his career working as a data scientist in the sports sector, building predictive models for sporting events. In 2011 he set up Global Sports Statistics which provides consultancy and modelling services to clients in the sports sector. Aside from statistics, Rob’s other interest is in programming. He has years of experience in many different languages but has become an advocate for Python and all that it can do to support all aspects of dealing with and modelling data.
Dr. Phillip Brooker
Dr Phillip Brooker is an interdisciplinary researcher in the field of social media analytics, with a background in sociology and sociological research methods (incorporating ethnomethodology, conversation analysis, science and technology studies, computer-supported cooperative work, and human-computer interaction). He has previously contributed to the development of Chorus (www.chorusanalytics.co.uk), a data collection and visual analysis package for social science research on Twitter. Phillip also co-convenes the Programming-as-Social-Science (PaSS) network (www.jiscmail.ac.uk/PaSS) which explores computer programming as a subject and methodological tool for social research and teaching. Phillip is currently employed as a Research Associate on CuRAtOR (Challenging Online Fear and Othering), which aims to investigate how online interactions result in 'cultures of fear'.
Professor David Harding
Professor David Harding is Interim Faculty Director of the D-Lab. He studies poverty and inequality, urban neighborhoods, education, incarceration, and prisoner reentry. He uses both qualitative and quantitative methods. He is the author of ''Living the Drama: Community, Conflict, and Culture Among Inner-City Boys'' (University of Chicago Press, 2005) and co-author of ''Rampage: The Social Roots of School Shootings'' (Basic Books, 2004).
Matt Denny is a PhD Candidate in Political Science and Social Data Analytics, and an NSF Big Data Social Science IGERT Fellow at Penn State University. Matt spends most of his time developing methods for analysing text and network data, which he applies to a wide range of projects related to: U.S. congressional and bureaucratic politics, organizational dynamics, international finance, and more recently, neuroscience. As part of his research, Matt works with a variety of large and complex datasets on a daily basis. Matt has also taught dozens of workshops on data management, high performance computing and “big data” analytics in R. To learn more about Matt Denny, check out his website: www.mjdenny.com
Professor Jonathan Slapin
Jonathan Slapin is Professor in the Department of Government at the University of Essex and Director of the Essex Summer School in Social Science Data Analysis.
He joined Essex in 2015, having previously held faculty positions at the University of Houston, Trinity College, Dublin and the University of Nevada, Las Vegas. He holds a PhD from the University of California, Los Angeles and a BA from Rutgers University.
His main research and teaching interests are in quantitative comparative politics, political institutions, and quantitative text analysis. His research frequently employs formal theory and quantitative methods to explore legislative behaviour, political parties, and democratic representation.
His most recent book, co-authored with Sven-Oliver Proksch, is entitled “The Politics of Parliamentary Debate: Parties, Rebels and Representation” and is published by Cambridge University Press.
Other research has appeared in leading political science journals such as the American Journal of Political Science, and the British Journal of Political Science.
Professor Richard Traunmüller
Richard Traunmülleris currently a visiting Professor of Quantitative Methods at the University of Mannheim and on leave from his Junior Professorship in Empirical Democracy Research at Goethe University Frankfurt. Prior to coming to Frankfurt, he has held positions at the Universities of Konstanz, Berne, Mannheim, and Essex. Richard has taught semester long courses on data visualization at these universities and has been invited to teach statistical visualization at the German Institute of Global and Area Studies (GIGA) and the European University Institute (EUI) in Florence. In addition, he is a regular instructor for data visualization at the Essex Summer School in Social Science Data Analysis. His work has appeared in major social science journals such as Comparative Political Studies, European Journal of Political Research, and Political Analysis, amongst others.
Andy Kirk is a UK-based data visualisation specialist: A design consultant, training provider, lecturer, author, speaker, researcher, and editor of an award-winning website. Since founding Visualising Data Ltd in 2011, he has delivered over 230 public and private training workshop events in 19 countries. Recent clients include Spotify, Telefónica, Tesco, Hershey, and CERN.
Andy is a visiting lecturer teaching data visualisation on a Master's degree programme at Imperial College London and is the author of two books, with the most recent work published in 2016 by SAGE and titled 'Visualising Data: A Handbook for Data Driven Design'. He also provides data visualisation services to the Arsenal F.C. performance team.
Dr Andreea Moldovan is a Research Fellow at Exeter University. She has a background in sociology, social research methods, and survey methodology. Her main interests are latent variable modelling, longitudinal data analysis, and machine learning techniques that overcome assumptions of traditional regression methods. Andreea has run R demonstrations for teams based in a large charity and is very passionate about encouraging other social scientists to discover the wonderful world of R.
Rada Mihalcea is a Professor in the Computer Science and Engineering department at the University of Michigan. Her research interests are in computational linguistics, with a focus on lexical semantics, multilingual natural language processing, and computational social sciences. She serves or has served on the editorial boards of the Journals of Computational Linguistics, Language Resources and Evaluations, Natural Language Engineering, Research in Language in Computation, IEEE Transactions on Affective Computing, and Transactions of the Association for Computational Linguistics.
Gabe Ignatow is a Professor in the Department of Sociology at the University of North Texas. His research interests are in sociological theory, digital research methods, cognitive social science and philosophy of social science. He currently serves on the editorial boards of Sociological Forum and the Journal for the Theory of Social Behavior. Along with the two recent books on text mining co-authored with Rada Mihalcea, Gabe has co-authored a forthcoming volume on digital social research methods and co-edited the Oxford Handbook of Cognitive Sociology. He is currently working on a book project on sociological theory in the digital age while serving as his department's graduate program director.