Linda Maria Jessica Kronman

PhD Candidate

Department of Linguistic, Literary and Aesthetic Studies

E-maillinda.kronman@uib.no
Visitor Address
Sydnesplassen 7

HF-bygget

5007 Bergen
Postal Address
Postboks 7805

5020 Bergen

Research
Publications

Linda Kronman is a media artist and designer. She holds a MA in New Media from Aalto University (2010). She is currently a PhD candidate at University of Bergen in the Machine Vision project. In her artistic work she explores methods of interactive and transmedial storytelling, visualizing data and creative activism. She is part of the artist duo KairUs and has been producing art together with Andreas Zingerle since 2010. Their artistic research topics includes surveillance, smart cities, IoT, cybercrime, online fraud, electronic waste and machine vision. Together they have edited the books Behind the Smart World (2016) and Internet of Other People's Things (2018), both open access publication bringing together critical perspectives on everyday use of technology focusing on artistic research and tacit knowledge that is produced through cultures of making, hacking, and reverse engineering. She has organized several participatory workshops and presented her work at international exhibitions and conferences including Moscow Young Arts Biennale, Siggraph ASIA, WRO Biennial, ISEA, ELO and Ars Electronica.

PhD Research blog: kairus.org/linda
Artistic work: www.kairus.org

Academic article

Show author(s) (2022). Representations of Machine Vision Technologies in Artworks, Games and Narratives: Documentation of a Dataset. Data in Brief.

Show author(s) (2020). Intuition Machines Cognizers in Complex Human-Technical Assemblages . A Peer-Reviewed Journal About (APRJA). 54-68.

Show author(s) (2019). The deception of an infinite view – exploring machine vision in digital art. Electronic Workshops in Computing (eWiC). 70-77.
Show author(s) (2019). Mapping Cultural Representations of Machine Vision: Developing Methods to Analyse Games, Art and Narratives. ACM Hypertext Proceedings. 97-101.

Lecture

Show author(s) (2020). Training machines to detect suspicious behaviour.
Show author(s) (2020). The Internet of other people’s things & Suspicious Behavior .
Show author(s) (2020). Suspicious behavior - a data annotation tutorial .
Show author(s) (2020). Speculative nows for post covid-19 futures.
Show author(s) (2020). Imaging the Ideal Smart Citizen in Future Urban Environments .
Show author(s) (2020). Beautiful seams: Unraveling the Intelligence of everything.

Academic lecture

Show author(s) (2022). Suspicious Behavior.
Show author(s) (2022). Suspicious Behavior.

Show author(s) (2021). Identifying, Deceiving, Protecting and Hunting: What Fictional Machines and Humans Do with Machine Vision Technologies.
Show author(s) (2021). Classifying Humans – Representations of Machine Vision in Digital Art .
Show author(s) (2021). Apertures #4: Datasets with Caroline Sinders & Toril Johannessen.
Show author(s) (2021). Apertures #3: The "Machine Vision" exhibition vernissage.

Show author(s) (2020). Machine Vision in Digital Art – Overlaps and Gaps.
Show author(s) (2020). How machines perceive the world– representations of machine vision in digital art.
Show author(s) (2020). Automated surveillance, ‘intelligent’ computer vision and a world of hidden human labour.

Show author(s) (2019). “Forensic fantasies” - Artistic Remixing of a Global Data Breach.
Show author(s) (2019). The deception of an infinite view – exploring machine vision in digital art.
Show author(s) (2019). Panopticities.
Show author(s) (2019). Mapping Cultural Representations of Machine Vision: Developing Methods to Analyse Games, Art and Narratives.
Show author(s) (2019). Machine Vision in Digital Art.
Show author(s) (2019). Information Diving on an E-waste Dump in West Africa – Artistic Remixing of a Global Data Breach.

Show author(s) (2011). Suspicious Behavior: A fictional annotation tutorial.