Professor
PI, Finnish team
University of Helsinki
Consumer Society Research Centre
Professor Minna Ruckenstein is the project leader and PI for the Finnish team, coordinating the work of the three collaboratories. She has successfully led large multidisciplinary research projects and is experienced in combining qualitative and computational research methods in the study of algorithmic culture and algorithmic systems.
Senior researcher
Finnish team
University of Helsinki
Centre for Consumer Society Research
Moats is the co-leader of the Maps Collaboratory, with expertise in valuation studies and mapping public issues using digital tools, particularly data visualisations
Postdoctoral researcher
Finnish team
University of Helsinki
Consumer Society Research Centre
Lehtiniemi co-leads the Alternatives Collaboratory and brings into the project his experience in studying social imaginaries that underlie the data economy and its automated processes.
Doctoral researcher
Finnish team
Aalto University
Rannisto is an applied sociologist and Insight Lead at Solita’s Design & Strategy unit. He also works as a doctoral researcher in the CRAI-CIS research group at Aalto University. Much of Antti’s current work in the industry revolves around social implications of new technologies, helping organisations balance and better position human and non-human agency in sociotechnical systems.
Professor
PI, Danish team
University of Southern Denmark
Department of Business and Administration
Brogård Kristensen will lead the Danish country team and be responsible for the Fieldwork Collaboratory. She has experience in leading multidisciplinary research projects in the study of self-tracking and personalised medicine.
Senior researcher
Danish team
University of Southern Denmark
Møhl will mainly work on two empirical cases: Automated Border Control and AI in breast cancer screening. She brings in her specialisation in visual technologies, automated decisions systems and biometrics, including the interaction between human and digital ways of sensing and seeing.
Associate professor
Danish team
University of Southern Denmark
Kuruoglu will collaborate on analysing human/machine interaction in the empirical cases, and brings in a specialisation in technologies, inequality, and user studies of self-tracking technologies. The research assistant of the Danish team assists the whole project by compiling a literature review of empirical cases and conducting interviews.
Professor
PI, Slovenian team
University of Ljubljana
Department of Ethnology and Cultural Anthropology
Mursic will lead the Slovenian team and co-lead the Fieldwork Collaboratory. He has worked on alternative cultural activities in music-related venues, defining core values in activism and developing collaborative ethnographic approaches.
Researcher
Slovenian team
Institute for Contemporary History
Pretnar Žagar co-leads the Maps Collaboratory. She brings in her extensive experience in applications of text mining. In this project, she will participate in mapping of values, apply circular mixed methods, make visualisation of data and quantitative analysis, and promote interaction with the stakeholders.
Associate professor
Slovenian team
Institute of Slovenian Ethnology
Podjed brings in his specialisation in applied anthropology, aspects of digital transformations, and co[1]creation methods for people-centred design of technological solutions. In the project, he will mainly contribute to the Alternatives Collaboratory and work on metaphors and imagery in public discourse; sample and prepare databases and transcripts.
Professor
PI, Belgian team
KU Leuven
Centre for Sociological Research
Van Hoyweghen will lead the Belgian team as PI supervising the involved researchers. She is experienced in comparative qualitative social science research methods in the study of the social aspects and implications of new biomedical technologies in different domains of social life (insurance, healthcare, social policy).
Postdoctoral researcher
Belgian team
University of Helsinki
Tanninen is the co-leader of the Fieldwork Collaboratory; she brings to the project her experience in analysing the experiential and imaginary aspects of datafication in the private insurance domain.
Doctoral researcher
Belgian team
KU Leuven
Elhadj is a doctoral researcher within the Life Sciences and Society Lab at KU Leuven. She is part of the Belgian team and will contribute to the Fieldwork Collaboratory. Her current work revolves around the socio-politics of in silico medicine and the frictions between actors and values.
Associate professor
PI, Swedish team
Linköping University
Department of Thematic Studies – Technology and Social Change
Velkova leads the Swedish team and co-leads the Alternatives Collaboratory and contributes to the Fieldwork Collaboratory with mapping and analysing values in cases of digitalising “smart” energy grids in Sweden. She brings in her expertise in researching and theorising conflicting values in contexts such as informal media production, search engines, social media, data infrastructures and energy grids. In this project, she will also benefit from an ongoing collaboration with a network of Swedish scholars working on digitalising energy grids.
Assistant professor
Swedish team
Linköping University
Department of Thematic Studies – Technology and Social Change
Eidenskog will work in the Swedish team and brings in her experience in working with energy calculations, urban planning and the introduction of multidisciplinary decision support tool in the construction sector as well as her theoretical perspectives from Science and Technology Studies (STS).