Translating critical data and algorithm studies into impact

How can scholars within critical data and algorithm studies influence people and organizations to think about datafication in a different way that will (hopefully) produce better decisions and societal outcomes than would have been achieved without the presence of their work? Join us for a two-day workshop to discuss impact related activities.

Datafication, the process of quantifying every aspect of life so it can be tabulated, analyzed, and recirculated into practice, presents a profound paradigm shift in society and a challenging object of inquiry for scholars across disciplines. Although digital technologies, most recently AI, have been praised for the endless possibilities, they allegedly provide to improve society, a growing body of literature, principally emanating from critical data and algorithm scholars has pointed toward the negative and often unintended effects of data-driven technology on society.

Critical data and algorithm studies have emerged as an important counterforce to the ever-pervasive hype of data and algorithms in society, offering both theoretical discussions, critique, and rigorous empirical work about the mutual shaping of data, technology, and society. Despite these scholarly efforts, the field however still struggles to gain attention in public discourse. Such work needs to be translated into public discourse, as the political and societal dimensions of datafication become increasingly visible.

Bringing together a mix of upcoming researchers and more established and impactful scholars across the interdisciplinary field, we will address the following questions in both a theoretical and practical manner.

  • What is the role of critical data and algorithm studies in society?
  • How can researchers communicate their findings to audiences outside of academia in a meaningful way?
  • How to collaborate across academia, the private sector, and the public sector and generate a positive impact in different spheres of the society?

This workshop is a collaboration between the Center for Tracking and Society at Copenhagen University and the Information School at Sheffield University, therefore leveraging the substantial international networks of these cutting-edge research centers. By bringing together a group of established and upcoming researchers, our aim is to reflexively engage with our own role as interdisciplinary social scientists and how we might improve and think through the communication of findings with affected communities, policy makers, bureaucrats, the private sector, trade unions, citizens and/or others.

 

The aim of the workshop is three-fold.

  1. Provide a platform for scholars associated with critical data and algorithm studies to discuss their role as researchers of technological change.
  2. Initiate and establish a network of knowledge-exchange on impact-related activities in the field of critical data and algorithm studies. As part of this effort, we will publish public resources online after the workshop to share the knowledge produced with other researchers.
  3. Provide a safe and friendly environment to discuss potential collaborations to develop impact-related activities and products (e.g dialogue events or public sector guidelines)

 

 

 

 

 

 

 

 

Day 1: 15 August 2024

Time

Activity

09:30–10:00

Coffee and registration

10:00–10:30

Welcome to Copenhagen with the Center for Tracking and Society and the workshop organizers

10:30–12:00

Keynote Plenary

  • Speakers: Doris Allhutter, Rikke Jørgensen and Gülşen Güler
  • Prompt: What role should/do researchers play in technological change?

12:00–13:00

Lunch

13:00–15:00

Parallel sessions #1 (small groups)
Communicate findings to audiences outside of academia in a meaningful way.

  1. Target audience: Policy makers
  2. Target audience: practitioners
  3. Target audience: citizens and/or others

15:00–15:30

Coffee and cake break

15:30–16:30

In conversation with a science journalist (TBA)

16:45

Pizza for everyone

 

Day 2: 16 August 2024

Time

Activity

09:00–10:30

Keynote Plenary

  • Speakers: Jo Bates, Signe Sofus Lai and Sofie Flensburg, and Estelle Pannatier
  • Prompt: How to collaborate between public sector, industry, and civil society? The promises, pitfalls, and practical challenges of collaborative work

10:30–10:50

Coffee and morning snack

10:50–12:00

Showcase Visualising Research

  • Speakers: Susan Oman and Amber Macintyre

12:00–13:00

Lunch

13:00–14:30

Parallel sessions #2 (small groups)
Brainstorming and hands on!

14:30–15:00

Final thoughts
The future of critical data and algorithm studies with Itzelle Medina Perea and Lisa Reutter