Spring 2022: Resi­den­cy Art hub Copenhagen

For a month we deve­l­oped a game that through an algo­rit­h­mic logic can open memo­ri­es of the par­ti­ci­pants. The resi­den­cy was con­clu­ded by a two-day wor­ks­hop with par­ti­ci­pants from the IT Uni­ver­si­ty in Copen­ha­gen, the facul­ties of Law and Data Sci­en­ce at Copen­ha­gen Uni­ver­si­ty, as well as pro­fes­sio­nals from the wor­ld of sta­ge arts.

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Spring 2021: Development

Research into use the of algo­rit­h­mic and bio­me­tric tech­no­lo­gies in 2021. Spe­ci­fi­cal­ly look­ing into the use of iris scan­ning as a tool for moni­tor­ing and pos­sibly con­trol­ling migrants and wor­kers in the work pla­ce, we made a seri­es of test per­for­man­ces with the goal to cre­a­te nar­ra­ti­ves wit­hin an algo­rit­h­mic struc­tu­re. Here we among other thin­gs used per­so­na­li­ty testing systems such as the OCEAN – used by Facebook.

Forsk­nings­pro­jek­tet er lavet i sam­ar­bej­de med kre­a­tiv pro­gram­mør Johan Bichel Lin­de­gaard, Husets Tea­ter og Inge­ni­ør­for­e­nin­gen IDA

Sup­por­ted by The Danish Arts Foun­da­tiond


Vin­ter 2020: Semi­nar v. Inge­ni­ør­for­e­nin­gen IDA (IDA)

2020: During the COVID-19 situ­a­tion an increa­sed use of algo­rit­h­mic tech­no­lo­gies are used to sur­veil and mea­su­re the citizens, and the­se tech­no­lo­gies are legi­ti­mized and com­mu­ni­ca­ted as neces­sary tools to con­trol the virus and save lives. 

This poses questions on what can be trans­la­ted into code and what the con­sequen­ces of this increa­sing appli­ca­tion of algo­rit­h­mic tech­no­lo­gies into our eve­ry­day lives mean. 

På det­te semi­nar præ­sen­te­re­de vi forsk­ning og per­spek­ti­ver på dis­se spørgs­mål fra tek­no­lo­gi­ske, mate­ma­ti­ske, kri­ti­ske og kunst­ne­ri­ske synspunkter.


“Trau­ma explai­ned for robots” by Sama­ra Sal­lam, visu­al artist, film­ma­ker, per­for­mer and coder 

“Engi­ne­e­ring Stupi­di­ty: the limits of sur­veil­lan­ce and self-tra­ck­ing” af Migu­el Sicart, lek­tor, cen­ter­le­der, Digi­tal Design, ved IT-Uni­ver­si­te­tet i København 

“All models are wrong, but some are use­ful — On the myth of an all-see­ing algo­rit­h­mic eye (What do “they” know about us, and who are “they”?)” by Iri­na Shk­lovski, Pro­fes­sor in Human-Cen­te­red Com­pu­ting at The Uni­ver­si­ty of Copenhagen 

“Wor­ri­ed, but opti­mi­stic: Data model­ling of the spre­ad of covid-19 in the popu­la­tion and its nar­ra­ti­ves” by Uffe Høgs­bro Thy­ge­sen, Asso­ci­a­te Pro­fes­sor at DTU Compute 

The semi­nar was done with The Danish Socie­ty of Engi­ne­ers (IDA) and sup­por­ted by The Danish Arts Foundation.