„Workshop: Ethnomethodology in the digital world with Andrei Korbut”

We at the D!ARC are excited to announce an upcoming workshop on ethnomethodological approaches to make sense of digital worlds. The workshop is being held by Andrei Korbut, PhD, who is an associated researcher at the Digital Culture Research Group.

The workshop is open for all levels and no prior knowledge of ethnomethodology is required to take part. The event will be held in English. If you have further questions or want to register for the workshop, please send an e-mail to: clara [dot] hoestermann [at] aau [dot] at

We are looking forward to welcoming you at the event.

When: 15th of November 2022 from 3 – 5 pm

Where: N.2.57 (AAU Campus)

You will find more information here. The Ethnomethodology of digital worlds

Andrei Korbut (Assoc. Researcher, D!ARC)

is an independent researcher with primary interest in ethnomethodological studies of human–computer interaction and, in particular, user encounters with artificial intelligence. He defended his PhD in Sociology in the Higher School of Economics (Russia) in 2014, and then worked as a researcher in several academic institutions in Russia. He applies ethnomethodology and conversation analysis to the research in digitalization of labor, communication with voice interfaces, and social transformation of homes by smart technologies.

Invitation D!ARC network meeting summer edition on August 18th

Dear colleagues,

We are delighted to invite you to a summer edition of the D^!ARC network. This time, we welcome Gabriel Grill from University of Michigan (USA). He will present part of his ongoing dissertation titled “Constructing Certainty in Machine Learning: On the performativity of accuracy and its hold on the future“.

For further information open the link2022-08-18_D!ARC-network

Everybody is welcome.

When: August 18th

Time: 1 PM – 2.30 PM

Where: HS A outdoor Kosuta (in case of rain indoor S.0.05)

Talk D!ARC Network: 18th of August 22: Data Sprint Learning. Exercising Proximity to Data in Teaching Situations.

Mr Grill from the University of Michigan will talk about: The use of opaque machine learning algorithms is often justified through testing and the calculation of standardized performance measures like accuracy…

For further information take a look at the attached file.

The talk will be held in English.

Everybody is welcome!

Date: 18th of August 2022

Time: 1 – 2.30 PM

Place: outdoor HS A (Kosuta)

Fair algorithms

Those who have data often also wield power. Miriam Fahimi is a doctoral student at the Digital Age Research Center (D^!ARC) and is working on the social effects that result from algorithms.