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In our Lab we explore how the data and society are imbricated and what is the role of the human factor – as both an agent and agency – in the equation. 

The Lab hosts researchers who come from different fields – information systems, computational social science, public administration, and critical sociology, media and communication studies, philosophy of technology – who delve into these issues resorting to various methodological approaches.

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Research

Hosted within the Ragnar Nurkse Department of Innovation and Governance (RND) at Tallinn University of Technology, the Data Lab gathers and branches out towards a wide array of scholars. Their main focus is on the often-opaque interrelations between (big) data, technology, individuals and society at large, in order to understand and tackle the socio-cultural transformations, consequences and recoils of social datafication.

  • Governance through, by and with data: socio-political-technological implications connected with the adoption of datafied solutions, in the public and private sectors

  • Datafication of (digital) migration and mobility: social datafication, data practices, data inequalities, data deterritorialization. 

  • Data justice: ethical discussions, frameworks and paradigms surrounding data technologies

  • “Data colonialism” in context: forms of (new)colonialsm with and through data exploitation

  • Data epistemologies: data-related knowledge-building and methodologies, methods and techniques. 

The researchers who are part of Data Lab espouse both theoretical and practical/empirical approaches to these issue. Notably, theorizations over the ongoing developments of AI and datafied solutions and their related ethical, social, political and implications go hand in hand with the design and unfolding of empirical studies, which rely a varied set of methodologies.

The Lab is open to collaborations with scholars, professionals, and stakeholders keen to explore these and other related themes, from any relevant perspective and through either consolidated or innovative research methods. In this respect, the Estonian context – highly digitalized and prone to innovation as it is – constitutes the ideal environment for establishing synergies within and beyond academia, both nationally and internationally.

Projects

  • Research Methods for Studying Datafied Society. Tallinn University Press, book collection of 24 chapters, editors Masso, A.; Tiidenberg, K.; Siibak, A.
  • Special issue of the International Journal of Transmedia Literacy guest edited by Dr Stefano Calzati and Prof Asun-Lopez Varela (Universidad Complutense of Madrid)
  • ‘Big Data in Social Sciences’ (project manager Anu Masso), Development program ASTRA of Tallinn University of Technology, 2018-2022. 
  • FINEST Twins Smart Cities Centre Of Excellence, European Commission, 2019-2026 http://www.finesttwins.eu/
  • Infotechnological Mobility Observatory, Estonian Research, Infra-structures Road-map by Estonian Government, 2016-2022 https://imo.ut.ee/
  • Possibilities of using artificial intelligence in e-government, European Regional Development Fund (RITA), 2020-202.
  • ’Establishment of a laboratory for cognitive research to assess the social, economic and legal impacts of artificial intelligence’ (PI Anu Masso), TalTech general fund, development projects, 1.01.-31.12.2020 https://www.etis.ee/Portal/Projects/Display/25154fba-5ff0-42a4-bd3b-90a40528489d
  • Developmental program ASTRA of Tallinn University of Technology for years 2016-2022

People

The Data Lab gathers together a varied mix of affirmed and emerging scholars afferent to different European institutions and coming from fields as diverse as information systems, computational social science, public administration, and critical sociology, media and communication studies, philosophy of technology.

Recent publications

  • Järv, O., Masso, A., Silm, S., & Ahas, R. (2020). The Link Between Ethnic Segregation and Socio-Economic Status: An Activity Space Approach. Tijdschrift Voor Economische En Sociale Geografie, 1–17. https://doi.org/10.1111/tesg.12465

  • Calzati, S. (2020). China, Africa, and the West: A Geopolitical Assessment of Huawei’s Crisis Communication on Social Networks. International Journal of Communication, 14, https://ijoc.org/index.php/ijoc/article/view/15031

  • Calzati, S. (2020). Decolonising 'Data Colonialism': Propositions for Investigating the Realpolik of Today's Networked Ecology. Television & New Media. https://doi.org/10.1177/1527476420957267

  • Calzati, S. (2020). (De)scrivere la Cina. Voci testi, mezzi. Milano: Franco Angeli.

  • Masso, A., Männiste, M., & Siibak, A. (2020). ‘End of Theory’ in the Area of Big Data: Methodological Practices and Challenges in the Social Media Studies. Acta Baltica Historiae et Philosophiae Scientiarum8(1), 33–61. https://doi.org/Doi:10.11590/abhps.2020.1.02 ; https://www.ies.ee/bahps/acta-baltica/abhps-8-1/02_Masso-2020-1-02.pdf

  • Masso, A., & Kasapoglu, T. (2020). Understanding Power Positions in a New Digital Landscape: Perceptions of Syrian Refugees and Border Experts on Relocation Algorithm. Information, Communication, Society. Accepted for publication consideration.

  • Männiste, M., & Masso, A. (2020). ‘Three Drops of Blood for the Devil’: Data Pioneers as Intermediaries of Algorithmic Governance Ideals. Mediální Studia | Media Studies14(1), 55–74. https://www.medialnistudia.fsv.cuni.cz/front.file/download?file=medialni_studia_1_2020%2004%20manniste_masso.pdf

Popular science publications

Data School

DataLab offers diverse training opportunities in the field of data analysis techniques, software and methods as well as in the field of data studies. Data Lab current training activities include:

  • Course in “Big Data and Governance”, 2nd semester, Tallinn University of Technology (first class: 21st of February, 5.15pm-8.15pm)
  • Digital Methods Summer School, August 24-27, 2020, 2019, 2018
  • Ministries’ chancellors training program on governance through data, 2019
  • Andmestunud ühiskonna uurimise meetodid: lugemik (Research Methods for Studying Datafied Society). Tallinn University Press, book collection of 24 chapters, editors Masso, A.; Tiidenberg, K.; Siibak, A.

Data diaries from "Big Data and Governance" course.

PhD and post-doctoral positions openings

We are committed to fostering synergies with institutions, research groups, stakeholders – both academic and non academic – whose main activities and interests revolve around the core themes researched at Data Lab.

Next funding opportunities:

Postdoctoral position in "Critical Understanding of Predictive Policing" (application deadline: 7th of December 2020; appointment from: 1st of February 2021). More info: here

PhD position in "Urban Analytics and Data Technologies" (application deadline: 16th of December 2020; appointment from: 1st of February 2021). More info: here

Contact

Ragnar Nurkse Department of Innovation and Governance
School of Business and Governance 

Tallinn University of Technology

Address: Akadeemia tee 3
12618, Tallinn, Estonia

datalab@taltech.ee