Fostering Multidisciplinary Collaboration in Artificial Intelligence and Machine Learning Education: Tutorial Based on the AI-READI Bootcamp
Taiki W Nishihara, Fritz Gerald P Kalaw, Adelle Engmann, Aya Motoyoshi, Paapa Mensah-Kane, Deepa Gupta, Victoria Patronilo, Linda M Zangwill, Shahin Hallaj, Amirhossein Panahi, Garrison W Cottrell, Bradley Voytek, Virginia R de Sa, Sally L Baxter, A Hasan Sapci · 2025
Read Fostering Multidisciplinary Collaboration in Artificial Intelligence and Machine Learning Education: Tutorial Based on the AI-READI Bootcamp by Taiki W Nishihara, Fritz Gerald P Kalaw, Adelle Engmann, Aya Motoyoshi, Paapa Mensah-Kane, Deepa Gupta, Victoria Patronilo, Linda M Zangwill, Shahin Hallaj, Amirhossein Panahi, Garrison W Cottrell, Bradley Voytek, Virginia R de Sa, Sally L Baxter, A Hasan Sapci (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12747659.txt.
Description
Taiki Nishihara and co-authors describe a training bootcamp for mixed AI teams in a 2025 tutorial paper. Biomedical research needs people who grasp both computing and clinical work. A national project on diabetes data built a bootcamp to close that gap.
The two-week course opens a year-long mentored program. It packs 80 hours of lectures, coding, and small-group mentoring at a California campus. The first year began with Python and classic methods, grounded in real diabetes data such as eye images and wearable readings. The paper shares how the course was refined year by year and what other programs can copy to train mixed teams well.
Catalog record
| CREATOR | Taiki W Nishihara, Fritz Gerald P Kalaw, Adelle Engmann, Aya Motoyoshi, Paapa Mensah-Kane, Deepa Gupta, Victoria Patronilo, Linda M Zangwill, Shahin Hallaj, Amirhossein Panahi, Garrison W Cottrell, Bradley Voytek, Virginia R de Sa, Sally L Baxter, A Hasan Sapci |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |