Working Group Lead: Bing Brunton & Steve Brunton

TreeOfKnowledgeTraining in data science is needed at all levels in academic research, from the undergraduate student to the tenured faculty member. A major challenge to data science training is that it is inherently multidisciplinary, requiring training in computer science, statistics, applied mathematics, and one or more domain areas. Traditional university curricula do not provide this kind of broad data science training, and often data science courses are relegated to specific departments with no consideration of cross-disciplinary needs.

The Education Working Group is developing ways to use innovative teaching methods and formats to offer both formal and informal training in data science skills at undergraduate, graduate, and professional levels. Viewing education in its widest sense, the aim is to make data science technology and expertise far more accessible both within universities and beyond.