The accelerating datafication of society constitutes challenges and opportunities for humanities research. Participants of this course get acquainted with some of the (methodological) fundamentals of data practices in the Digital humanities. These will include data collection, data preparation, data visualisation, critical data and algorithm studies, network analysis, and an introduction to code with Python. After training these skills for three days, the participants work in small teams on a hands-on case. The Utrecht Data School is a University platform for teaching data analysis and digital methods, for the exploration of datafication through (applied) research projects in cooperation with societal partners.
As our world gets increasingly connected and mediatised, input and expertise from the humanities and social science becomes essential to understanding the dynamics, ethics and pragmatics of a datafied society. (José van Dijck, 2017)
Datafication of culture
Culture is datafied at a terrifying pace. Not only are cultural artefacts digitized, social interaction online is automatically recorded and commodified. Everyday activities, movements, transactions, communications and environmental properties are stored either through (applications on) mobile phones, or the countless sensors, camera's and other measurement devices spread out over the public spaces. Aside from the profound impact these data repositories have for society at large, they also constitute challenges and opportunities for research in the humanities. The need to occupy ourselves with data practices is twofold: 1) 'big data' affect society at large and the more it transforms the social and cultural domain, the more humanities scholars are needed to put their distinct expertise to use in describing, analysing and conceptualising the datafied society. 2) the data and analysis tools change research agenda's as they can be used for analysing culture.
Studying culture through data
Participants of this course get acquainted with some of the (methodological) fundamentals of data practices in the Digital humanities. They learn how to apply data analysis for research and how to review and inquire the data practices and tools. The first three days will be filled with tutorials and workshops in order to acquire methods and tools. These will include data collection, data preparation, data visualisation, critical data and algorithm studies, network analysis, and an introduction to code with Python. The remaining two days will include a ‘pressure cooker’, where participants will be working in small teams trying to apply their freshly gained skills on a real-world case. The programme also includes lectures, student-presentations, and various social activities.
Utrecht Data School
Utrecht Data School is a platform for teaching data analysis and digital methods, and for exploring datafication through (applied) research projects in cooperation with our external partners. Founded in 2013, the Utrecht Data School provides interdisciplinary courses on BA and MA level and develops teaching formats and trainings for practitioners and students groups from various disciplines. Driven by our research interest into datafication and how it affects citizenship, participation in deliberative processes, the public sphere and cultural production, we conduct our research within the societal domains of public management, (public) media and the public space. Using our own practice of entrepreneurial scholarship, we developed services and products that are useful for partners within said domains.
Check our website for more information.
Dr. Mirko Tobias Schäfer
Tim de Winkel (Utrecht Data School, PhD-student Dept. Media- and Culture Studies)
This course is aimed at participants from a wide range of disciplines (e.g. media and culture studies, anthropology, sociology, journalism, public administration, philosophy, and others), with no prior skills in data methods, but a strong willingness to learn.
A basic understanding in digital methods and data analysis. An overview of current data practices and tools used in various fields of the humanities to carry out research. An understanding for the epistemic impact of data practices and data analysis tools. The ability to apply this knowledge for carrying out a small research project.
The summer school will be a full work week (40 hours). Before the start of the summer school, participants have to read three articles and send in a small profile of themselves (around 150 words) for an introductory booklet.
REDUCED FEE: 500 EUR for students / 400 EUR for students enrolled in the BA, pre-MA, or MA New Media & Digital Culture at the Utrecht University / 1000 EUR for non-students (e.g. professionals).
Housing through: Utrecht Summer School.
For this course you are required to upload the following documents when applying: