Publications
Guzman, D., Nguyen, L., Imroz, A., & Ihorn, S. Attitudes and self-efficacy in computer science education. 2020. Annual Meeting of the National Association of School Psychologists. Under review.
Mayorga, M., Lynn, A., Perez, V., Tjiptamustika, N., & Ihorn, S. Computer science attitudes in first-generation college students. 2020. Annual Meeting of the National Association of School Psychologists. Under review.
Nguyen, L., Guzman, D. & Ihorn, S. Promoting diversity in computer science students: Stereotype threat and goal setting. 2020. Annual Meeting of the Western Psychological Association, Virtual Conference.
Lynn, A., Nguyen, L., Hernendez, S., & Ihorn, S. Stereotype threat in computer science. 2020. Annual Meeting of the American Psychological Association, Virtual Conference.
Urias, G., Guzman, D., Mayorga, M., & Ihorn, S. Self-efficacy in computer science: The role of gender and race. 2020. Annual Meeting of the American Psychological Association, Virtual Conference.
Ihorn, S., Yoon, I., & Kulkarni, A. Student psychological traits and diversity in computer science education. 2020 (to be rescheduled). Annual Meetingof the Association for Computing Machinery’s Special Interest Group for Computer Science Education (SIGCSE), Portland, OR.
Grant Awards and News
Grant award from Genentech Foundation, May 2024 Title: SF State receives $14M from the Genentech Foundation to support underrepresented students in STEM. $14 million grant from the Genentech Foundation supports two University programs that are training the next generation of life sciences leaders. The five-year grant provides transformational support for University programs, which has totaled more than $33 million during their long-lasting partnership. This partnership has impacted more than 700 students since 2008, and an additional 350 students are projected to be supported by the new funding.
DS/ML for Biotechnology Certificate Update, June 2022 Title: Biotech certificate students get an insider peek into industry jobs. Designed by San Francisco State faculty and Genentech scientists, the program is tailored specifically to University undergraduates interested in industry. It launched in the fall of 2021, and the first students are already reaping the benefits, with several earning Genentech internships.
Data Science and Machine Learning for Biotechnology Certificate, October 2021: New data science certificate aims to open doors to biotech jobs. A new certificate program developed in collaboration with one of Silicon Valley’s biggest biotech companies will do more than teach San Francisco State University undergraduates about the interdisciplinary field known as data science. It’ll help them develop the skills they need to land jobs as data scientists.
Grant award from Genentech Foundation, Sept 2020 Title: Gen-PINC Scholarships Program. This grant provides scholarships and mentor support to life sciences students who are pursuing the Computing Applications minor (aka PINC program) at SFSU. The underlying motivation is to increase racial/ethnic and gender diversity in the field of biotechnology.
Grant award from Genentech Inc., Aug 2020 Title: gSTAR-PINC: New Certificate Program “Data Science and Machine Learning for Biotechnology”. The goal of this project is to co-design a new undergraduate certificate program “Data Science and Machine Learning for Biotechnology” in collaboration with Genentech scientists. The new certificate program will provide well-trained and diverse workforce that can tackle some of the most pressing interdisciplinary problems of our times.
NSF IUSE: EHR. Oct 2018. Title: Building the diverse, multidisciplinary computer science workforce of the future with PINC 2.0. The project will provide participating students with learning experiences related to their majors, train computer science faculty in evidence-based science teaching methods, and invite students to share their knowledge with the K-12 community. To reduce stereotype threat and imposter syndrome, the project will employ a cohort-based structure that uses peer, faculty, and industry mentors to create a nurturing and supportive community of learners. The project will identify pedagogies that promote students' interest in computer/data science and their motivation to use it in their majors.
PINC Program funded by Technology Pathways Initiative (TPI), Jan 2016. Title: Improving Diversity in Computing Industry; Attracting Female Biology Students to Computer Science.