Each week will include a pre-recorded ML/AL video lecture.
In the spring of 2022, ABCD-ReproNim will expand its offerings to include a dedicated course for workforce development at the interface of information sciences, artificial intelligence and machine learning (AI/ML), and biological sciences. This will be a standalone event that is available in addition to the 2022 course.
Competencies and skills addressed will include training and publishing ML models, organizing and evaluating data for ML applications, and reusing existing models efficiently. Throughout these lectures, we will integrate discussions of ethical, legal, and social implications, including but not limited to: biases in datasets, algorithms, and applications; concerns related to privacy and confidentiality; impacts on disadvantaged or marginalized groups and health disparities; and unintended, adverse social consequences of research and development.