Cassidy Pyle

March 2021 - Present

Principal Investigator

Serving as Principal Investigator for my pre-candidacy project about how incoming first-generation college students make the decision to (not) disclose their first-generation identity on social media, the strategies they use, and the outcomes they perceive as a result.

February 2021 - Present

Co-Investigator

Serving as co-investigator on an ethnographic research project about computer science students' and professionals' use of social technologies. This project comparatively analyzes both U.S.-born students' and professionals' use of social technologies as well as Chinese-born students' and professionals' use of social technologies as they migrate to the U.S. I am working with fellow Ph.D. student Ben Zhang.

May 2020 - January 2021

Research Assistant

Served as first author on a paper about LGBTQ people's decisions to disclose their pregnancy loss experiences on social media along with co-authors Lee Roosevelt (UofM Nursing), Ashley Lacombe-Duncan (UofM Social Work), and Nazanin Andalibi (UofM Information).

June 2019 - January 2020

Assisted Amy Gonzales (UCSB Department of Communication) with the special issue of Social Media + Society dedicated to social media and marginality.

Research Assistant

September 2018 - June 2019

Principal Investigator

Conducted original research project using quantitative experimental methods under advisor Scott Reid (UCSB Department of Communication). I explored how participation in Facebook groups may augment social capital for first-generation college students.

Forthcoming, CHI '21

LGBTQ Persons' Pregnancy Loss Disclosures to Known Ties on Social Media: Disclosure Decisions & Ideal Disclosure Environments

Cassidy Pyle, Ashley Lacombe-Duncan, Lee Roosevelt, Nazanin Andalibi. LGBTQ Persons' Pregnancy Loss Disclosures to Known Ties on Social Media: Disclosure Decisions and Ideal Disclosure Environments. Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) 2021. (forthcoming)

Forthcoming, CHI '21

First-Generation, Low-Income Students as Data Subjects in Higher Education Profiling and Prediction AI/ML Applications

Pyle, C., Andalibi, N. (2021). First-Generation, Low-Income Students as Data Subjects in Higher

Education Profiling and Prediction AI/ML Applications. Workshop on Artificially Intelligent Technology for the Margins: A Multidisciplinary Design Agenda. ACM CHI Conference on Human Factors in Computing Systems, 2021.