The centre includes the four domains of the Faculty of Social and Behavioural Sciences of the University of Amsterdam: Social Sciences, Psychology, Child Development and Education, and Communication Science.
The SoBe DSC covers all activities at the intersection of
- Computer science
- Mathematics and statistics
- At least one of the substantive disciplines of the social and behavioural sciences
The mission of the SoBe DSC is to have a substantial impact, both scientifically and societally, in fostering innovative applications of data science techniques.
The centre further aims to conduct collaborative research, to provide consultancy and support, to educate students and colleagues, to develop tools, software, and services, and to promote valorisation.
The centre is managed by its director, prof. dr. Denny Borsboom, and four coordinators from each of the faculty’s domains: dr. Anne Kroon (Communication Science), dr. Julia Haaf (Psychology), dr. Suzanne Jak (Child Development and Education), and dr. Diliara Valeeva (Social Sciences)
Prof. dr. Denny Borsboom (PhD, University of Amsterdam, 2003) is Director of the SoBeDSC.
His research combines conceptual analysis, often based on insights taken from the philosophy of science, with the development of statistical techniques and practical methodologies that are designed to improve and expand the methodological framework in psychology. For example, in the past decade, Borsboom has focused on the development of techniques represent psychometric constructs as networks of interacting variables, which has led to the development of network psychometrics.
His current research program is devoted to the development of techniques and methodologies that can aid psychologists in theory development.
Dr. Anne Kroon (PhD, University of Amsterdam, 2017) represents Communication Science. She is an assistant professor of Corporate Communication at the Amsterdam School of Communication Research (ASCoR) at the University van Amsterdam. Computational social science techniques are at the forefront of Anne’s research and teaching. In her research, she focuses on (1) the role of algorithms in recruitment and hiring in shaping (unintended) biased recommendations, and (2) the content and consequences of (biased) representations of minorities in media content. In addition, Anne coordinates the development of two digital data infrastructure projects for the social sciences: Twi-XL and the Media Content Analysis Lab.
Dr. Julia Haaf (PhD, University of Missouri, 2018) represents Psychology.
She is an assistant professor in the Psychological Methods group, Department of Psychology at the UvA. Her research focuses on the development of Bayesian hierarchical modeling approaches to assess individual differences in cognitive phenomena. Examples of such phenomena are interference effects, recognition memory, and subliminal priming.
Key to understanding individual differences in cognitive tasks is to disentangle stable, qualitative individual differences from sample noise. A central aim of Julia’s work is to develop statistical modeling solutions that are tailored to capture key theoretical constraints.
As an open science enthusiast Julia tries to make her work as accessible as possible to other researchers and the public.
Child Development and Education
Dr. Suzanne Jak (PhD, University of Amsterdam, 2013) represents the department of Child Development and Education.
She is assistant professor in the Methods and Statistics group of the Research Institute of Child Development and Education. Her research focuses on structural equation modelling in general, and specifically in combination with measurement invariance, multilevel data, or meta-analysis.
The goal of Suzanne’s research is to make these technique better known and more user friendly for researchers who’s research might benefit from using these techniques, and to develop new methods where needed.
She is currently working on developing meta-analytical structural equation models that optimally use all available relevant information, such as dependent effect sizes, mean structures, and raw data.
Dr Diliara Valeeva (PhD, University of Amsterdam, 2021) represents the Social Sciences. She is an Assistant Professor in Computational Social Science at the Political Science department of the UvA. Her research focusses on the role of business, finance, and elites in modern societies. Diliara uses social network analysis as her main methodological tool and relies on large and complex datasets. To understand social and economical systems, she also applies a range of computational methods such as text analysis, machine learning, regression analysis, event models, and simulations.
Post doctoral researchers
Supported by the UvA DSC, several postdoctoral researchers from each department work on data science research in the the SoBe DSC.