‘Left. Right. Up. Down. Side to Side. Under and Over. Inside and Out.’ is a zine containing four articles centered around the theme of movement from e-flux Notes. The zine can be continuously deconstructed into fourteen paper airplanes by following the fold lines, and reconstructed with the elastic band binding.

Team: Clara Chirila-Rus, Gilles Goosen, Jonas Riemersma, Victoria Tilliette

Guided by Remco van Bladel

'Bit.map' is a collaborative publication containing essays exploring, analyzing, and responding to various manifestations, characteristics, meanings and effects of online video.

Type & Design Team: Soyoon Cha, Clara Chirila-Rus, Roxana Neacsu, Shiri Wijnhoven

Guided by Marijke Goeting

'V is for Vogue' is a typographic magazine that highlights vogueing subculture through select articles from the Vogue U.S. Magazine archives. Designed with a 1 font, 1 size restriction in mind.

Guided by Sandra Kassenaar

'Data on Users, Victims, and AI Incidents' is a book contrasting victims of AI incidents and the purveyors of those systems.

Printed at ArtEZ Arnhem on Munken Pure 90 gr/m2 & Chromolux Metallic Zilver 250 gr/m2 in Universal-Regular, December 2023.

Guided by Remco van Bladel

'Me, my sisters, my parents, my dog, and a brand new American car.' is a mixed-media installation consisting of 9 Risograph prints narrated by Clara, exploring the question of how we carry cultural identity across time and space. Each riso print is a an abstracted result of a digital image from the Chirila-Rus family image archive. 81 risographs were produced in the making of the 9 final exhibited images.

Guided Joris Maltha

'Dear Data Collector,' highlights the contradiction between the manifestation of online identity, and the lack of autonomy over our digital bodies. The installation offers a tangible perspective on the role of the data collector, the online video creator, and data points [users] in the digital realm. The work features a mug screen-printed with ceramic glaze, a series of anecdotal online videos, and the image classification algorithm YOLOv5. The pattern on the mug is an adversarial patch, a pattern that defeats object classification in facial recognition algorithms. By preventing the data collector from identifying data points in the online video, the experience between the user and the creator reaches a truer level of intimacy.

Adversarial patch developed by:
Pintor, Maura, et al. “ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness Against Adversarial Patches.” Pattern Recognition, vol. 134, Feb. 2023, p. 109064. https://doi.org/10.1016/j.pat-cog.2022.109064.

Guided by Monika Gruzite

@deardatacollector