Lynn Dombrowski, Ph.D.
- Associate Professor, Human-Computer Interaction
- Director, Human-Computer Interaction Program
Contact
lsdombroiupui [dot] edu
317-278-7673
IT 583
Related Links
Education
- Ph.D. Informatics, Donald Bren School of Information and Computer Sciences, University of California, Irvine (2015)
- M.S. Human-Computer Interaction and Design, Indiana University Bloomington (2010)
- B.S. Computer Information Systems and Web and Digital Media Development, University of Wisconsin at Stevens Point (2008)
Biography
Lynn Dombrowski studies, designs, and prototypes human-centered technologies to examine and promote social justice. Her work contributes to the fields of human-computer interaction, ubiquitous and social computing, and design.
She produces analytic, theoretic, and pragmatic contributions to HCI to deepen the field’s understanding of how information and communication technologies may foster and inhibit social change.
Dombrowski’s research explores the practices within and the design of the socio-technical systems meant to contend with large systemic social issues. Her work has focused on topics including hunger, food insecurity, and labor issues. She explores themes of power, empowerment, politics, ethics, values, advocacy, and justice within the context of the design and use of sociotechnical systems.
Recently, her research has explored how to design for low-wage workers, how blue-collar work is becoming data-driven, and finally, she’s mentored Nitya Verma, her Ph.D. student, on a project examining the challenges police have with data-driven approaches.
Research Interests
- Human-computer interaction
- Ubiquitous and social computing
- Social justice and design
Active Research Grants
Courses
INFO I275 Introduction to Human-Computer Interaction Theory
INFO H541 Interaction Design Practice
Related News
- September 16, 2021
Robots, personal safety, and moving to learn: faculty research is far-reaching - February 5, 2018
Record number of HCI faculty papers accepted by 2018 ACM CHI Conference - September 12, 2017
$494,286 NSF grant to improve work compensation technologies - May 31, 2017
Faculty and students present work at 2017 CHI Conference