Open Science
Open Science desribes a set of practices that seek to make research more open, transparent, and reproducible. I have been involved with the open science community for the last eight years, including as an ambassador for the Center for Open Science (since 2015), a catalyst for the Berkeley Initiative for Transparency in Social Sciences (BITSS since 2018) and have served on the EdArXiv Preprint steering committee (since 2020).
I have conducted workshops on talks about open science practices and adoption, most of which can be found here https://osf.io/bh98u/.
Recently, Aaron Haim (a PhD student at WPI) and I have begun to examine Open Science practices within the fields of education and learning science, and have been a series of workshops and trainings (see HowToOpenScience.com)
Open Science Research
Haim, A., Shaw, S. T., & Heffernan, N. (2023, March). How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. In LAK23: 13th International Learning Analytics and Knowledge Conference (pp. 156-164).
Haim, A., Gyurcsan, R., Baxter, C., Shaw, S. T., & Heffernan, N. T., III. (2023, July 11). How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. Proceedings of the 16th International Conference on Educational Data Mining (EDM ‘23), 114–124, July 11-14, 2023, Indian Institute of Science Campus, Bengalaru, India. https://doi.org/10.5281/zenodo.8115651
Haim, A., Gyurcsan, R., Baxter, C., Shaw, S. T., & Heffernan, N. T., III. (2023, July 21). How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference. In Proceedings of the Tenth ACM Conference on Learning @ Scale (L@S '23). Association for Computing Machinery, New York, NY, USA, 174–182. https://doi.org/10.1145/3573051.3596166