ITR colloquium on social-connectedness technologies for separated families

The Institute for Translational Research in Children’s Mental Health (ITR) is excited to host computer scientist Dr. Lana Yarosh to discuss her innovative research on designing technologies to increase social connectedness in contexts where in-person contact would be impossible or impractical.

The discussion will take place on Friday, March 20 from noon to 1:30 at ITR’s offices (1100 S Washington Avenue, Minneapolis). It is part of ITR’s 2019-2020 colloquium series on critical topics related to its mission of bridging the gap between research and practice in children’s mental health.

RSVP by e-mailing itr@umn.edu.

Dr. Yarosh’s approach involves working closely with people in specific critical social contexts in order to design and evaluate the effects of new technologies on social connectedness. This talk will provide an overview of her work on connecting children, families, and helping people seek peer support while facing health challenges. 

She will then specifically elaborate on her work designing the ShareTable system, which connects parents and children who live apart, and discuss how this work has inspired recent directions in intergenerational mentorship and new computer-mediated communication technologies.

WHAT: Colloquium discussion on social-connectedness technologies for separated families with computer scientist Dr. Lana Yarosh 
WHEN: Friday, March 20 from noon to 1:30 p.m.
WHERE: ITR offices (1100 S Washington Avenue, Minnepaolis
RSVP: E-mail itr@umn.edu

About Dr. Yarosh
Svetlana “Lana” Yarosh is an Assistant Professor in the Computer Science & Engineering Department at University of Minnesota. Her research in Human-Computer Interaction focuses on embodied interaction in social computing systems. Lana is currently most proud of getting both the National Science Foundation’s CRII and CAREER awards, of her best papers at CHI and CSWC, and of receiving the McKnight Land Grant Professorship. Lana has two Bachelors of Science from University of Maryland (in Computer Science and Psychology), a Ph.D. in Human-Centered Computing from Georgia Institute of Technology, and two years of industry research experience with AT&T Labs Research.