Institute of Media Studies

Distinguished Visiting Professorship 2020

Dr. Stefania Milan, UVA Amsterdam

 

 

Bio:

Stefania Milan is Associate Professor of New Media and Digital Culture at the Department of Media Studies, University of Amsterdam. Her work explores the interplay between digital technology, activism and governance. Stefania is the Principal Investigator of two projects financed by the European Research Council exploring data- and algorithmic-mediated forms of civic engagement (see data-activism.net and algorithms.exposed), and co-principal investigator in the Marie Curie Innovative Training Network “Early language development in the digital age” (e-ladda.eu). As of May 2020, she will be coordinating the project “Making the hidden visible: Co-designing for public values in standard-making and governance”, funded by the Dutch Research Council. Stefania is the author of Social Movements and Their Technologies: Wiring Social Change (Palgrave Macmillan, 2013/2016) and co-author of Media/Society (Sage, 2011). She enjoys experimenting with digital and action-oriented research methods and finding ways to bridge research with policy and action. Outside office hours, she loves mountaineering, boxing and cycling.

 

Public Talk:

As part of the lecture series „Dis/Empowerment in Digital Publics“, organised by Prof. Dr. Tanja Thomas, Dr. Stefania Milan will give her public talk „Digital Publics in the Age of Data Capitalism“. Everyone is cordially invited. Dates: 7 May 2020, 4 pm, Room 037, Brechtbau.

Digital Publics in the Age of Data Capitalism

Data capitalism has dramatically changed the role of information and technology in the constitution of the social. Its business model—the transformation of human actions, interactions and emotions into data points which can be analyzed and monetized—has accelerated the crisis of liberal democracy. Its global reach has contributed to alter power relations and has introduced novel forms of colonialism and exploitation of resources.

This talks surveys three building blocks of data capitalism and their effects on digital publics, namely: i) personalization algorithms and the polarization of the public sphere they induce, ii) AdTech, or the technological ecosystem supporting targeted advertising, and the lack of transparency and accountability surrounding this market, and iii) facial recognition technology, as one of the most widespread yet most intrusive applications of Artificial Intelligence, and its implications for human rights including privacy. It dissects the environmental costs of data capitalism, and explores potential responses and forms of resistance to intrusive technology from the bottom-up, focusing on data activism as the generator of novel imaginaries and innovative practices of civic engagement.

Teaching:

Dr. Stefania Milan offers the seminar “The Datafied Society” for students of media studies. Registration is done via the platform Alma.

The Datafied Society

Today notions like big data, smart city and artificial intelligence (AI) are frequently evoked in the narratives of the industry and policymakers alike. They yield the promise of efficiency, empowerment, and a better life. Yet, they are not free from risks for privacy and citizen agency.

“The Datafied Society” explores the theoretical frameworks that allow us to capture and interpret the technological changes at the core of contemporary society and their societal consequences. The course has four components:

  • Theorizing the datafied society, defining the interdisciplinary theoretical toolbox to study society at the age of AI;
  • Political agency in the datafied society, where we will analyze, e.g., the evolution of contemporary social movements;
  • Decolonizing data studies, investigating non-Western approaches to the study of the datafied society, and
  • Methods for algorithmic accountability, where we will look at innovative methods to study the datafied society and the theory implications of this type of research. 

Upon completion of this course, you will be able to understand the datafied society and critically evaluate its consequences on political agency, describe the opportunities and challenges for citizens on the basis of theory and concrete examples, deconstruct mainstream theoretical approaches, and reflect on the methodological challenges of studying algorithmic-mediated phenomena. This course will be taught in English and engaged participation is expected. Readings will be made available through ILIAS.