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Dr. Mél Hogan is the host of The Data Fix podcast () and an Associate Professor in the Department of Film and Media at ¾ÅÐãÖ±²¥. My areas of interest and scholarly expertise are: data infrastructure, big tech and the environment.

Supervision and teaching:

I’m not taking on new MA or PhD students at this time. (I am available for supervisory committees and exams over Zoom.)

I'm committed to supervising / examining only students not using generative AI for any component of their thesis- or dissertation-writing. I'm a critical scholar of AI (this is an area of expertise), and I don't consider synthetic text generation to be demonstrative of any intellectual capacity or rigour and I believe it stands in contradiction to the goals of a higher education.

In general, I’m happy to consider supervising projects that take a critical, environmental, collective-humanistic, cultural, social, and/or historical approach to data, communication, media, and technology. 

I work well with students from interdisciplinary backgrounds. I’m an especially good fit for students whose research interests draw on qualitative, exploratory, research-creation, speculative, or ethnographic methods, and who work within communication and media studies; environmental humanities; environmental media; archival theory; elemental media; infrastructural studies; critical data studies; media archaeology; algorithm studies; science and technology studies (STS); history of technology; and critical theory.

I’m most excited about working with students interested in projects looking at the various and vast environmental impacts of data infrastructures.

I am not suited to projects primarily focused on solving technical problems (around AI and algorithms, for example) or looking for expertise in quantitative social sciences methods. 

I normally teach undergraduate and graduate courses on topics that intersect media and the environment.