My research interests lie at the intersection of social computing, culture, and marginalized communities (particularly LGBTQ+ and fat communities).
I’m broadly interested in the social construction of knowledge by (e.g., in online communities) and about (e.g., in academia or data schemas) marginalized groups. I’m also interested in the impact of “marginalization” as a growing discourse within computing.
Research Interests: Social Computing, Science & Technology Studies, Critical Data Studies, Culture, Identity, Marginalized Communities, Feminism, Queer Theory, & Postcolonial Studies
Erin Kasson, Lindsey M. Filiatreau, Nina Kaiser, Kevin Davet, Jordan Taylor, Sanjana Garg, Mai El Sherief, Talayeh Aledavood, Munmun De Choudhury, Patricia Cavazos-Rehg. (2023). Using Social Media to Examine Themes Surrounding Fentanyl Misuse and Risk Indicators. Substance Use & Misuse.
Sanjana Garg*, Jordan Taylor*, Mai El Sherief, Erin Kasson, Talayeh Aledavood, Raven Riordan, Nina Kaiser, Patricia Cavazos-Rehg, Munmun De Choudhury. (2021). Detecting Risk Level in Individuals Misusing Fentanyl Utilizing Posts from an Online Community on Reddit. Internet Interventions. *Co-first authors.
Daejin Choi, Steven A. Sumner, Kristin M. Holland, John Draper, Sean Murphy, Daniel A. Bowen, Marissa Zwald, Jing Wang, Royal Law, Jordan Taylor, Chaitanya Konjeti, Munmun De Choudhury. (2020). Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities. JAMA Network Open.
Posters, Extended Abstracts, Workshop Papers and Technical Reports
Blakeley H. Payne, Jordan Taylor, Katta Spiel, Casey Fiesler. (2023). How to Ethically Engage Fat People in HCI Research. Companion of CSCW 2023. (Best Poster Award)
Logan Stapleton, Jordan Taylor, Sarah Fox, Tongshuang Wu, Haiyi Zhu. (2023). Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses. ICML Workshop on Challenges in Deployable Generative AI.
Manuscripts and Pre-Prints
Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang. (2023). LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. In ArXiv.
Jordan Taylor, Adinawa Adjagbodjou. DEI in Computing: Centering the Margins. (2022). XRDS: Crossroads, The ACM Magazine for Students 28, no. 4.
Jordan Taylor. Decoloniality in Computing: An Interview with Dipto Das. (2022). XRDS: Crossroads, The ACM Magazine for Students 28, no. 4.
Louisiana law requiring proof of ID for porn site access has privacy advocates worried. (2023). Marketplace Tech.
|Software Engineer Intern (Natural Language Understanding at Facebook Reality Labs)||Summer 2021|
|Software Engineer Intern (Messenger Business Ranking)||Summer 2020|
|Software Engineer Intern (Dynamic Ad Insertion)||Summer 2019|
|Systems & Technology Research||Intern (Analysis & Decision Systems)||Fall 2018|
|NASA JPL||Systems Engineer Intern (Model-Based Systems Engineering)||Summer 2018|
|University||Course or Employer||Role||Semester|
|Carnegie Mellon||HCI 05-610: User-Centered Research and Evaluation||Teaching Assistant||Fall 2023|
|Carnegie Mellon||CS 15-996: Intro to Justice, Equity, Diversity, and Inclusion in CS||Guest Lecture on Identity, Intersectionality, & Systemic Inequality||Spring 2023|
|Georgia Tech||CS 3600: Intro to AI||Teaching Assistant||Spring 2020, Fall 2020, Spring 2021|
|Georgia Tech||CS 1100: Freshman Leap Seminar||Teaching Assistant||Fall 2019|
|Georgia Tech||Center for Academic Success||Tutor||Spring 2017, Summer 2017,|
Fall 2017, Spring 2018
|Georgia Tech||College of Computing||Tutor||Fall 2017|
Updated CV (last edited October 2023)