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Gemza Ademaj

Tenure Track Assistant Professor

About

E-mail
Departments
Department of Digitalization
Subjects
Digitalisation IT Artificial intelligence

Primary research areas

Hu­man-centered data and sense­mak­ing
I study how people in­ter­pret and make de­cisions based on com­plex data. My re­search fo­cuses on sense­mak­ing pro­cesses—how in­di­vidu­als con­struct mean­ing from data un­der con­di­tions of un­cer­tainty, and how this shapes ac­tion in or­gan­iz­a­tion­al con­texts.
Visu­al ana­lyt­ics and ex­plain­able data in­ter­ac­tion
I ex­plore how visu­al and in­ter­act­ive sys­tems can sup­port un­der­stand­ing of com­plex and un­cer­tain data. I ex­am­ine how visu­al­iz­a­tion func­tions as a cog­nit­ive tool, en­abling more trans­par­ent and ex­plain­able en­gage­ment with data and AI sys­tems.
Di­git­al health and mul­timod­al data sys­tems
I in­vest­ig­ate how data-driv­en sys­tems are used in health­care, par­tic­u­larly in areas such as men­tal health as­sess­ment. I fo­cus on in­teg­rat­ing and mak­ing sense of mul­timod­al data (e.g., sensor data, self-re­ports, clin­ic­al in­puts) to sup­port bet­ter de­cision-mak­ing.

I ex­plore how people make sense of data in com­plex di­git­al en­vir­on­ments

My research centers on how data becomes meaningful in practice. As organizations increasingly rely on data and AI, the challenge is not only technical—but also cognitive and organizational.

I examine how individuals interpret data, how decisions are shaped by data representations, and how technologies can better support these processes.

I work on projects that explore:

  • How visual and interactive tools can support sensemaking and decision-making under uncertainty
  • How AI systems can be designed to collaborate with humans in transparent and responsible ways
  • How complex, multimodal data can be integrated and used meaningfully in healthcare contexts

My ambition is to contribute to the development of human-centered data systems that are not only technically advanced, but also understandable, usable, and aligned with real-world decision practices.