Projects

The VIRT-EU project was a Horizon 2020 collaboration between five European research partners the London School of Economics (UK), Open Rights Group (UK), Uppsala University (SE), Politechnico di Torino (IT) and Copenhagen Institute of Interaction Design (DK) hosted at the IT University of Copenhagen. The project aimed to demonstrate how ethical questions can and should be addressed in the development of technology. The project outputs include tool prototypes for self-assessment and for convening conversations about ethics. ETHOS facilitated conversations between the project’s ethnographers and its network analysis scholars, hosted IoT Day with project members in 2018 and 2019.

https://virteuproject.eu/

ETHOS Lab is part of a funded Europeana research project called Mapping a Colony, marking the centennial of the sale of the Danish West Indies (present day US Virgin Islands) to the United States. The project was conducted in collaboration with The Royal Library, the Uncertain Archives project, the Past’s Future project, and lead by the author Lene Asp. The objective of the Mapping a Colony project was to create an interactive map to highlight and investigate Danish colonial heritage, and ETHOS took a role in discussing the politics of mapping, creating an interactive map based on the databases, and participating in the interdisciplinary datasprint ‘Representing History Through Data‘.

https://mappingacolony.org

Data as Relation was a Velux Fonden research project hosted in the TiP group between 2017 and 2020, and focused on digitalization in the Danish State. The ETHOS Lab was a site of methods experimentation in the project, supporting conversations across the PhD projects, hosting “shut up and code” sessions, and a data sprint on Techplomacy. The focus of methodological experimentation in the project was about bringing different fieldsites together in conversation. One way in which this was done was through monster theory, creating a Bestiary of Digital Monsters, as a means of generating conversations across field-sites.

https://dar.itu.dk

During the spring semester of 2021, lecturers suddenly discovered that a new risk algorithm predicting student drop-out was activated in ITU’s online learning platform; LearnIT operating through Moodle software. While the algorithm got deactivated, a student project in collaboration with ETHOS lab started, investigating the naturalisation of surveillance in learning platforms and their connection to how universities get funded.

Offering the lab as a site for supervision and consulting in Digital Methods can be complicated in the messiness of reality, where we periodically receive requests to harvest and provide data from social media. We occasionally feel a sense of ambivalence, uneasiness and even resistance towards handing over datasets and leaving them in the hands of others. The project ”ETHOS as a Data Provider” attends to what kind of data ethics we find ourselves involved in by incorporating two entangled tracks. The first track concerns reflecting on and qualifying our internal process of handling these requests, and the other is to participate in the academic conversations of data ethics in practice and contribute to the field.

Since we returned to our offices in Summer 2021, there has been a buzzing in the corners of the Lab. Conversations on how corona and the political handling of it has affected our work life has spread, and an insistence to fundamentally (re)think working conditions for knowledge producers given the prevailing neoliberal influence has grown. We consider this to be a reoccurring theme within the Lab community, and a project which is slowly figuring and finding its form. The process is highly valuable and perhaps this is the very project. 

Making sense of medicinal cannabis debates is a 3-year research project about discourses surrounding the current Danish pilot programme for medicinal cannabis. The very introduction of medicinal cannabis is often assumed to be intrinsically linked to the digitalized media landscapes where the “public” voice has a new power to mobilize and build political pressure, which is investigated and questioned by mapping the evolution of the online debate about medicinal cannabis in Denmark. The project combines digital “issue mapping” approaches with qualitative methods and explores how critical inquiry into digital methods can qualify their use.

Centered around a series of three workshops, the project entails to conceptualize a Nordic approach to critical algorithm studies. The project is a collaboration between Tampere University, Helsinki University, Stockholm University, and ITU, working towards contributing to the conversations on automation, categorization, and other key features of human-machine collaborations through a unique understanding from Nordic settings. Participants bring in a broad range of scholarly backgrounds, and further include actors from outside academia. An additional objective is the establishment of a network on the topic with a strong focus on supporting junior scholars. ETHOS contributes to foster an explorative, creative, dialogue across the disciplines and hosts the workshops in Copenhagen.

This project considers the ways in which silences and absences are central parts of research relying on automated data collection from social media or the internet. As these research methods have gained popularity within social science and humanities, it becomes ever more pertinent to consider how we engage with digital data, and how both engagement and data are situated, messy and contingent. Based on experiences with ‘missing’ data, the project mobilizes the framework of hauntology to make sense of the relationships we may build with missing data, and how silences haunt research practices. We reimagine absent data not as a limitation, but rather an invitation to reflect on and establish new methods for working with automated data collections.

Research projects often end up with data and empirical material left unexamined. Often, we hold onto these materials with the anxiety and hope that they will become useful someday. Or perhaps we do not know how best to dispose of them. In this project we have stored a black box of empirical data gathered over multiple lab events and workshops without opening it. Through this experiment we live with the ambivalences of unexamined data and consider both institutional GDPR requirements as well as the collective responsibility for its liminal status as material that requires care until its eventual use or disposal.