Postdoctoral Associate in Information Science at University of Colorado Boulder
About Me
I am a postdoctoral associate in Information Science at CU Boulder researching identity representations in technical infrastructures. I just recently graduted with my PhD in Information Science at CU Boulder, where I was supported by a Microsoft Research PhD Fellowship.
I was advised by Jed Brubaker in the Identity Lab.
Broadly, I am interested in identity theory, infrastructure studies, AI ethics, and digital identity.
I focus primarily on machine learning infrastructures that operationalize human identity characteristics, like gender and race.
In particular, I explore the real-world implications of machine learning for those with historically marginalized identities.
PDFs of my work can be found on my Research page. Non-publication specific projects can be found under the Projects tab. This includes the HCI Gender Guidelines and my Prelim Reading List documentation.
Select Publications
- Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development.
Morgan Klaus Scheuerman, Emily Denton, and Alex Hanna.
Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 317 (October 2021), 37 pages. Best Paper Award. - How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis. Morgan Klaus Scheuerman, Kandrea Wade, Caitlin Lustig, Jed R. Brubaker. Proc. ACM Hum.-Comput. Interact. 4, CSCW1, Article 58. May 2020. Best Paper Award. Recognition for Diversity and Inclusion.
- How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis and Image Labeling Services. Morgan Klaus Scheuerman, Jacob M. Paul, Jed R. Brubaker. ACM Hum.-Comput. Interact. 3, CSCW, Article 144. November 2019. Best Paper Award.
- Gender Recognition or Gender Reductionism? The Social Implications of Automatic Gender Recognition Systems.” Foad Hamidi, Morgan Klaus Scheuerman, Stacy M Branham. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’18). April 2018. Best Paper Award.
News
-
May 12, 2023
I have officially defended my dissertation and graduated with my PhD! I am now beginning my postdoctoral position in Information Science at CU. -
October, 25, 2022
I am honored that our paper, “Do You Ladies Relate?”: Experiences of Gender Diverse People in Online Eating Disorder Communities, was awarded an Honorable Mention and Recognition of Diversity and Inclusion at CSCW 2022! -
October, 25, 2021
I am honored that our paper, "Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development," was awarded a Best Paper Award for CSCW 2021! -
April 1, 2021
I will be working with the MSR FATE team on gender in image captioning and labelling for the next couple of months. January 25, 2021
I have been selected as a 2021 Microsoft Research PhD Fellow! Check out my fellow profile.October 13 2020
Extremely excited to announce that our CSCW 2020 paper, How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis., was awarded both a Best Paper Award and a Recognitions for Contribution to Diversity & Inclusion.