Episode 75 – Dynamic Duo
Hosts: Dr. Jeremy Waisome & Dr. Kyla McMullen
Guests: Jennifer Otiano, Kowe Kadoma
Kowe’s coursera course – https://www.coursera.org/learn/algorithmic-fairness
Jennifer’s website: https://jenniferotiono.wordpress.com/
Twitter:
Episode Description:
In this insightful episode, listeners are introduced to the fascinating journeys of Jennifer Otiano and Kowe Kadoma, two emerging scholars in the field of Information Science. Their stories unravel against the backdrop of their shared passion for human-centered technology and their individual quests for understanding its socio-cultural implications. Diving deep into the heart of computing research, Jennifer and Kowe discuss their academic pursuits and personal growth, painting a vivid picture of resilience and innovation in a field that constantly evolves.
Key Takeaways:
- The academic journey is often non-linear, with shifting interests leading to new opportunities.
- Both qualitative and quantitative research methods hold value, despite perceived hierarchies in academia.
- Transferable skills acquired during a PhD are crucial for career flexibility.
- Staying true to oneself and avoiding comparisons is key to PhD success.
- The intersection of art and technology provides unique opportunities for exploration and impact.
Bios:-::
Jennifer Otiono (she/they) is a Ph.D. student in Information Science broadly interested in Human-AI Interaction (content creators perception of AI) through a mixed-methods approach. She is a member of the Citizen’s and Technology (CAT)🐾 Lab, where she is advised by J. Nathan Matias.
Prior to Cornell, she received an undergraduate degree in Biological Sciences from Wellesley College. Her work has been supported by the National GEM Consortium and the Mellon Foundation.
Kowe Kadoma is a PhD student in Information Science focusing on Human-Computer Interaction (HCI) and AI Ethics. She uses mixed-methods to understand how AI practitioners incorporate ethical principles into their work and develop evaluation frameworks and design interventions to create equitable experiences for users of language technologies. Prior to Cornell, she received an undergraduate degree in Computer Engineering from Florida A&M University. Her work is supported by a GEM Fellowship and DLI Fellowship.