“Good luck. The academy is the wild wild west” – A colleague, after we told him our ambition to map the landscape of institutes, grants, organisations, and events in our field.
Where or to whom do I turn if I need technical assistance, e.g. on databases or search engines? Which grants are available, specifically for computational social or behavioral research? What is the Institute for Advanced Study, and how can they help me?
Conducting successful research requires knowing where to turn for help and collaborations. Science doesn’t happen in silos, but builds on networks of individuals, organisations, funders, knowledge hubs and infrastructure. But as individual researchers, we do not have an overview of these networks and entities. In fact, no one has.
CSBS makes an attempt to provide such an overview (‘mapping the landscape’) for the computational social and behavioral science landscape in Amsterdam. It will not be exhaustive, especially not in these early days, and its success depends on your inputs. Please add to this page directly, or drop an email to Javier or Anna.
The Institute for Logic, Language and Computation (ILLC) is the leading research institute in the interdisciplinary area dealing with the investigation of information, information exchange, and cognition with formal and mathematical methods. It is deeply rooted in the Amsterdam logic research tradition dating back to the early twentieth century and covers the disciplines of mathematics, linguistics, computer science, philosophy and artificial intelligence with staff members from the Faculty of Science and the Faculty of Humanities of the University of Amsterdam.
ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations) is the sustainable research infrastructure for social sciences in the Netherlands. Through ODISSEI, researchers within the social sciences have access to large-scale, longitudinal data collections that can be connected to registerdata from Statistics Netherlands (CBS) in a secure environment. This virtual web enables researchers to answer new, cross-disciplinary research questions and to investigate existing questions in new ways.
The Research Priority Area Human(e) AI stimulates and connects research to the legal, ethical and social consequences of AI and automated decision-making (ADM). How can we stimulate the development of AI that pays attention to cultural and socio-economic equality and fundamental civil rights?
The ODISSEI Social Data Science (SoDa) team exists to support social scientists in their research projects. Researchers from ODISSEI member organisations can propose research projects for which our computational, statistical, and research engineering skills will help answer questions that would otherwise remain unanswered.
The GCSCS serves as a platform connecting researchers at or affiliated with the University of Groningen working in the field of social complexity. The aim of the GCSCS is to provide high quality research and education, interacting actively with business, government and the public, and in particular to address the goal of stimulating cross-border research and education.
The Institute for Interdisciplinary Studies (IIS) is the expertise centre of the UvA in the field of interdisciplinary learning and teaching. Together with faculties or external clients, the IIS develops and implements education. You can turn to the Institute for advice about learning, teaching and the development of new educational concepts in an interdisciplinary context with the accompanying organisational professionalisation and teacher professionalisation.
The SoBe DSC is the social and behavioural sciences hub of the university’s central Data Science Centre. 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 (1) computer science, (2) mathematics and statistics, and (3) at least one of the substantive disciplines of the social and behavioural sciences.
The Amsterdam Institute for Social Science Research (AISSR) unites all social science research of the UvA. The research programme focuses on the functioning of contemporary societies and their interrelationships from historical, comparative and empirical perspectives.
NIAS – one of the institutes of the Royal Netherlands Academy of Arts and Sciences (KNAW) – has made it its mission to provide a physical and intellectual space for advanced research in the humanities and social sciences that is driven by curiosity and cross-discipline collaboration. NIAS is committed to supporting independent research and knowledge exchange in a setting that is both collaborative and multi-disciplinary – breaking down cross-discipline barriers and facilitating innovative advances in the process.
CAT4SMR (Capture and Analysis Tools for Social Media Research) is a project funded by the Dutch PDI-SSH foundation that seeks to stabilize and further develop a set of existing and heavily used tools for the collection and analysis of social media data (Facebook, Twitter, YouTube, Reddit, 4chan). Developed within the framework of the UvA’s Digital Methods Initiative, our tools – Netvizz (currently not available), DMI-TCAT, YouTube Data Tools, 4CAT, and others – have been mainstays of the Dutch and international research landscape for years, allowing researchers to make sense of these increasingly dominant online platforms and the cultural practices they host.
The Centre for Complex Systems Studies (CCSS) brings together the complexity research of Utrecht University. The centre aims at scientific breakthroughs as well as novel solutions for societally relevant issues by approaching existing problems from the perspective of complex systems science. And in addition to the research, a Bachelor’s minor, a Master’s profile and a summer school programme are offered to educate students in complexity. The Centre for Complex Systems Studies harbours talented young researchers as well as renowned scientists and facilitates the collaboration on complexity science over the boundaries of disciplines.