I was an undergraduate research assistant for Professor Haiyi Zhu's HCI research team.
Spring 2020: The majority of my work focused on the Allegheny Family Screening Tool (AFST), a predictive risk modeling tool for child welfare call screening decisions. I created UI mockups and simple HTML/CSS pages for our interactive site of the model, collected feedback and sentiment from various user groups regarding the AFST, and helped create experimental interview material for participants to judge the fairness of the AFST model.
I also collected data to study how rideshare drivers seek support via online peer networks by doing content analysis on what challenges rideshare drivers are facing and how they cope with current challenges during COVID-19.
Fall 2020: We worked with stakeholders such as social workers, supervisors, and community members to help mitigate biases and disparities for a risk-stratification tool intended to aid in child maltreatment referrals. My tasks included an informal literature review on fairness preferences across different domains (such as hiring contexts, the criminal justice system, and child welfare), proofreading and creating material for interviewing research participants, and organizing agendas and notes for our stakeholder research.