Abstract: Now is an exciting time to be learning how to make sense of the world through data. Students and job applicants face a diverse set of expectations as to which skills are needed and which fields' training is relevant. Those entering the workplace additionally face novel ethical challenges regarding the increasing impact of automated decision systems on individuals and society.
A historical arc can help situate how we came to our present "data moment," with lessons to be learned about
- how similar challenges were previously met,
- the forces which have driven the "moving targets" of our fields' names and goals
- how we collectively shape the future of data.
This lecture draws from material from a new course at Columbia ( 2017-present, https://data-ppf.github.io/ ) as well as an upcoming book of the same title.
Speaker
Chris WigginsAssociate Professor of Applied Mathematics at Columbia University and the Chief Data Scientist at The New York Times