Abstract Given the rising prominence of data science in biomedical and Alzheimer’s research, fueled by recent developments in artificial intelligence (AI), especially deep learning, and high- performance computer hardware; a need has emerged to broadly train the predoctoral students in data science, in both its fundamental principles, and its applications to Alzheimer’s disease and related dementia (ADRD). To this end, we will develop a spring 2022 course with seven modular units in the following areas: 1. Fundamentals and overview (Lai and C. Wang); 2. Deep learning (G. Wang and Lai); 3. Bioinformatics (Bystroff and Fraser); 4. Medical imaging and ADRD (G. Wang and Yan); 5. Systems engineering (Hahn); 6. Multi-omics (Hurley and Fraser); 7. AI and drug discovery (C. Wang, Dordick and Fraser). During the summer of 2022, we will develop a data science bootcamp to provide the students with hands-on experience in data science, featuring a week-long intensive training in R, followed by a coached project to analyze an ADRD dataset, e.g., from AD knowledge portal (https://adknowledgeportal.synapse.org). The course will culminate in a mini-conference where the students present their research results to a panel of domain experts. Both the new course and summer camp will be developed and taught in person and will also be recorded and made available via an online platform to the NIA T32 trainees and graduate students from the Departments of Architecture, Biological Sciences, Biomedical Engineering, Chemical Engineering and Chemistry at Rensselaer. All the training materials will be regularly updated and made freely available to the scientific community through Rensselaer’s web portal and as new training modules through the institution’s online training platform Percipio. Using online quizzes, surveys and in-person interviews, the newly developed course and bootcamp will be evaluated for efficacy, effectiveness and sustainability.

Project Narrative Given the rising prominence of data science in ADRD research, a need has emerged to broadly train predoctoral students in data science to prepare them for creative and productive careers in ADRD research. To this end, we propose to develop a spring 2022 course and a summer 2022 bootcamp to train the students in data science methods and their applications in ADRD datasets. Both the new course and summer bootcamp will be assessed for efficacy and sustainability and will be recorded and made available online to the wider student community at Rensselaer and its partner institutions.