Data Science Camp Inc.Founder and President
Jul. 2014United StatesThe summer program is designed to immerse these students in an intensive, design thinking, project-based effort using data to address important issues of public policy related to agriculture, energy or athletics. Divided into teams of no more than five students each and under the close supervision of faculty and experts, participants work with official data sets to define, shape, research, analyze, and present their findings on a topic they choose from a short list of key themes. What makes these programs distinctive is their learning design. Days are not spent in classroom lecture but in active, hands-on, team-based working sessions to explore mastering all the different steps of a well-organized project to drive innovation in public policy: problem definition; constituency mapping; data gathering, cleaning, analysis, and visualization; conclusion framing; shaping of an appropriate narrative; and presentation. In parallel, students get detailed instruction in – and get to work closely with – the best current software tools to support their efforts at each project stage. What makes these programs significant is their objective. They are not – and are not intended to be -- mini coding academies. They are living workshops in using data to drive policy innovation on difficult and important public issues. It is all too easy for such teenagers to think that such complex issues lie well outside the world they can shape and touch and affect. STEAM is purposely designed so that they discover – by doing – that they can, indeed, make a real contribution to progress against such issues. Perhaps most important, what makes these programs effective is that, through hands-on experience, participants build awareness of what is possible and confidence in their own ability to contribute. They frame, they work with data, they analyze, they conclude, they structure narrative, and they present. They practice, redo, practice again, and improve.