About

The AIM-AHEAD Consortium members have a wide range of expertise and skill levels relevant to artificial intelligence and machine learning (AI/ML) and biomedical healthcare research. The AIM-AHEAD Coordinating Center (A-CC) identifies training needs and develops training and workforce development resources to address these knowledge gaps.

Training assessments consider AI/ML and barriers to health research as well as related competencies in, for example, cloud computing, distributed computing, data preparation, data science, biostatistics, modelling, epidemiology, clinical/biomedical informatics, data science policy, and community engaged research methods.

Training offerings are particularly useful for engaging early career investigators and researchers with a variety of backgrounds into AI/ML research. The training offerings consider the skills and competencies needed for the AIM-AHEAD projects as well as the professional development and potential career paths of the trainees. Internships and practical training opportunities with private sector partners may be leveraged.

It is expected that application-based learning opportunities with large scale data will be an important aspect of training and workforce development. The Data Science Training Core therefore works closely with other A-CC efforts to develop and leverage platforms to access AI/ML-ready data.