Presidential Post-Doc Fellowship Job Talk: Julie Hui

Date: 
Wed, 11/15/2017 - 12:00pm to 1:00pm

Ehrlicher Room, 3100 North Quad

Distributed Apprenticeship in Informal Communities of Entrepreneurs

Abstract:

Today’s jobs are more likely to require lifelong training with limited dedicated expert guidance. Consequently, understanding how social technologies are supporting skill development in the future of work has become a key goal in HCI. Over the years, apprenticeship has been lauded as one of the most effective approaches to instruction in offline professional contexts. However, dedicated one-on-one guidance is not easily scalable as experts have limited capacity to provide in-depth instruction to multiple novices. These relationships are even harder to come by in communities with limited resources where there is less access to professional mentorship.

In this talk, I will discuss my work addressing the following question, How can we design socio-technical systems that extend the benefits of apprenticeship to professional communities with limited access to dedicated professional guidance? Through my research on distributed and co-located communities of entrepreneurs, I describe how the changing affordances of social technologies combined with increasing community expectations of transparency are driving new opportunities for entrepreneurial skill and self-efficacy development. I will also outline how my work has informed the design of both technology and community infrastructure.

Speaker Bio:

Julie Hui is currently a Post-doctoral Research Fellow at the University of Michigan School of Information working with Dr. Tawanna Dillahunt. She recently finished her PhD at Northwestern University's Segal Design Institute where she worked with Dr. Elizabeth Gerber studying communities of novice entrepreneurs. Prior to Northwestern, she received her B.S. in Physics from MIT. Her interdisciplinary work contributes to the fields of human computer interaction (HCI) and computer supported cooperative work (CSCW), specifically social computing, learning, and design. Her work has received an ACM Best of CSCW Honorable Mention award, as well as both external funding from the National Science Foundation Graduate Research Fellowship Program and internal funding from Northwestern’s Segal Design Cluster Fellowship and Cabell Fellowship. She has also interned at Microsoft Research and Facebook.