Algorithmic and data infrastructure lab (ADIL)

The word ADIL (which stands for Algorithmic and Data Infrastructure Lab) comes from Arabic and is synonymous with “fair, honest, just, straightforward, unbiased, equal, impartial, fair-minded”, all terms which will serve as a reminder for the values and goals the lab stands for in all of its endeavors. Through this lab, I hope bring together faculty, students and community collaborators to critique, rethink and redesign algorithmic and data infrastructures in a manner that is aligned with the values, goals, and aspirations of the communities we work with.

I position myself within the long lineage of Human Computer Interaction (HCI) and Science & Technology Studies (STS) scholars who have used theories of design and social justice to impact the making of information infrastructures. Within the field of HCI, my research interest is in studying the impact of information infrastructures on communities. More specifically, I am interested in studying how algorithmic and data infrastructures are designed, built, and used, and the impact these actions have on marginalized communities, however they might be defined. 

My research goal is to study and critique such information technologies in order to create more equitable and just  algorithmic and data infrastructures for marginalized communities. I do this by engaging with scholarship in the fields of Science and Technology Studies (STS), Human Computer Interaction (HCI), and Design, while relying on participatory and design research methods like ethnography, participant observations, interviews, focus groups, and workshops to gather my data.

A list of all my publications are available on my Google Scholar profile.