Refining the Common Model of Cognition Through Large Neuroscience Data. - Zoe Steine-Hanson; Natalie Koh; Andrea Stocco 002 (BICA, 2018)

Pedagogical Content Knowledge for Teaching Inclusive Design. - Alannah Oleson; Christopher J. Mendez; Zoe Steine-Hanson; Claudia Hilderbrand; Christopher Perdriau; Margaret M. Burnett; Amy J. Ko (ICER, 2018)

Open source barriers to entry, revisited: a sociotechnical perspective. - Christopher J. Mendez; Hema Susmita Padala; Zoe Steine-Hanson; Claudia Hilderbrand; Amber Horvath; Charles Hill 001; Logan Simpson; Nupoor Patil; Anita Sarma; Margaret M. Burnett (ICSE, 2018)

Semi-Automating (or not) a Socio-Technical Method for Socio-Technical Systems. - Christopher J. Mendez; Zoe Steine-Hanson; Alannah Oleson; Amber Horvath; Charles Hill 001; Claudia Hilderbrand; Anita Sarma; Margaret M. Burnett (VL/HCC, 2018)

From Gender Biases to Gender-Inclusive Design: An Empirical Investigation. - Mihaela Vorvoreanu; Lingyi Zhang; Yun-Han Huang; Claudia Hilderbrand; Zoe Steine-Hanson; Margaret Burnett (CHI, 2019)

Fixing Inclusivity Bugs for Information Processing Styles and Learning Styles. - Zoe Steine-Hanson; Claudia Hilderbrand; Lara Letaw; Jillian Emard; Christopher Perdriau; Christopher J. Mendez; Margaret Burnett; Anita Sarma (CoRR, 2019)

Engineering Gender-Inclusivity into Software: Tales from the Trenches. - Claudia Hilderbrand; Christopher Perdriau; Lara Letaw; Jillian Emard; Zoe Steine-Hanson; Margaret Burnett; Anita Sarma (CoRR, 2019)

Engineering gender-inclusivity into software: ten teams' tales from the trenches. - Claudia Hilderbrand; Christopher Perdriau; Lara Letaw; Jillian Emard; Zoe Steine-Hanson; Margaret Burnett; Anita Sarma (ICSE, 2020)

Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domains. - Andrea Stocco 002; Catherine Sibert; Zoe Steine-Hanson; Natalie Koh; John E. Laird; Christian Lebiere; Paul S. Rosenbloom (NeuroImage, 2021)

How Gender-Biased Tools Shape Newcomer Experiences in OSS Projects. - Hema Susmita Padala; Christopher J. Mendez; Felipe Fronchetti; Igor Steinmacher; Zoe Steine-Hanson; Claudia Hilderbrand; Amber Horvath; Charles Hill 001; Logan Simpson; Margaret Burnett; Marco Aurélio Gerosa; Anita Sarma (IEEE Trans. Software Eng., 2022)

BCIs for Everyone, Everyday: Generalized Machine Learning Models for Decoding of Human Brain Data - Zoe Steine-Hanson (2024)