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Dr. Aniko Hannak

Assist­ant Pro­fessor

WU (Vi­enna Uni­versity of Eco­nom­ics and Busi­ness)

De­part­ment of In­form­a­tions Sys­tems and Op­er­a­tions
In­sti­tute for In­form­a­tion Busi­ness

Build­ing D2, 1st Floor
Welthan­delsplatz 1, 1020 Vi­enna, Aus­tria

Email: aniko.han­
Phone: +43-1-31336/6203
Fax: +43-1-31336/90 6203
Con­sulta­tion on Ap­point­ment

Aniko has been assist­ant pro­fessor at the Vi­enna Uni­versity of Eco­nom­ics and Busi­ness, and fac­ulty mem­ber of the Com­plex­ity Science Hub since Septem­ber 2018. She re­ceived her PhD from the Col­lege of Com­puter & In­form­a­tion Science at North­east­ern Uni­versity, where she was part of the Lazer Lab and the Al­gorithmic Audit­ing Group.

Aniko’s main in­terest lies in com­pu­ta­tional so­cial sciences. She is fo­cus­ing on the co-e­volu­tion of on­line sys­tems and their users. Broadly, her work in­vestig­ates a vari­ety of con­tent serving web­sites such as search en­gines, on­line stores, job search sites, or freel­ance mar­ket­places. In this quickly chan­ging on­line ecosys­tem, com­pan­ies track every move of their users and feed the col­lec­ted data into Big Data al­gorithms in order to match them with the most in­ter­est­ing, most rel­ev­ant con­tent. Since these al­gorithms learn on hu­man data they are likely to pick up on so­cial bi­ases and un­in­ten­tion­ally re­in­force them.
In her PhD work, Aniko cre­ated a meth­od­o­logy called “al­gorithmic audit­ing”, which tries to un­cover the po­ten­tial neg­at­ive im­pacts of large on­line sys­tems. Examples of such audits in­clude ex­amin­ing the fil­ter bubble ef­fect on Google­Search, on­line price dis­crim­in­a­tion or de­tect­ing inequal­it­ies in on­line labor mar­kets.

Re­search In­terests

  • Com­pu­ta­tional So­cial Sciences

Lec­tures at WU