How To Open Science
'How to Open Science' is an alias used to easily identify research related to the advancement of open science, reproducibility, and replicability in disciplines. The goal is to gather and inform others on research conducted on open science, promote practices and more robust metrics for reproducibility and replicability, and to analyze the current state of disciplines in adoption of these practices.
You can find the website at https://howtoopenscience.com/
The OSF project is hosted at https://doi.org/10.17605/osf.io/ye54u
Publications
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
Associated Links
OSF Project: https://doi.org/10.17605/osf.io/pj3te
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
Associated Links
OSF Project: https://doi.org/10.17605/osf.io/unhyp
Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, March 16). How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. In Proceedings of the 13th International Learning Analytics and Knowledge Conference (LAK ‘23), March 13-17, 2023, Arlington, Texas, USA. https://doi.org/10.1145/3576050.3576071
Awards and Honors
Best Full Paper Nominee
Honorable Mention
Associated Links
OSF Project: https://doi.org/10.17605/osf.io/74bzs
GitHub: https://github.com/ahaim5357/10.17605-osf.io-74bzs/tree/lak2023
Tutorials / Workshops
Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, July 20). How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community. In Proceedings of the Tenth ACM Conference on Learning @ Scale (L@S '23). Association for Computing Machinery, New York, NY, USA, 248–250. https://doi.org/10.1145/3573051.3593398
Associated Links
Website: https://lats2023-tutorial.howtoopenscience.com
OSF Project: https://doi.org/10.17605/osf.io/jp6cq
GitHub: https://github.com/HowToOpenScience/lats2023-tutorial/tree/main
Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, July 14). How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. Presented at the 16th International Conference on Educational Data Mining (EDM ‘23), 582–584, July 11-14, 2023, Indian Institute of Science Campus, Bengalaru, India. https://doi.org/10.5281/zenodo.8115776
Associated Links
Website: https://edm2023-tutorial.howtoopenscience.com
OSF Project: https://doi.org/10.17605/osf.io/gkuqv
GitHub: https://github.com/HowToOpenScience/edm2023-tutorial/tree/main
Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, July 3). How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_11
Associated Links
Website: https://aied2023-tutorial.howtoopenscience.com
OSF Project: https://doi.org/10.17605/osf.io/yd9kr
GitHub: https://github.com/HowToOpenScience/aied2023-tutorial/tree/main
Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, March 13-14). How to Open Science: Promoting Principles and Reproducibility Practices within the Learning Analytics Community. Presented at the 13th International Learning Analytics and Knowledge Conference (LAK '23), March 13-17, 2023, Arlington, Texas, USA. https://lak2023-tutorial.howtoopenscience.com. Accessible at https://doi.org/10.17605/osf.io/kyxba.
Associated Links
Website: https://lak2023-tutorial.howtoopenscience.com
OSF Project: https://doi.org/10.17605/osf.io/kyxba
GitHub: https://github.com/HowToOpenScience/lak2023-tutorial/tree/main
Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, March 10). Understanding Licenses, Terms of Use/Service, and Private Policies. Presented at the Unconference 2023: Open Scholarship Practices in Education Research (Unconference ‘23), March 9-10, 2023. Accessible at https://osf.io/f784k/
Associated Links
OSF Project: https://doi.org/10.17605/osf.io/kurfc
YouTube: https://www.youtube.com/watch?v=b87OOplZfPU&list=PLChfyH8TVDGl5JUEUxM5ehg6WdkEN-Lxd&index=18
Socials and Blogs
Let's Discover Open Science and Reproducibility
Substack: https://osreproducible.substack.com/