Stephanie Evergreen, author and data visualization expert
Changing the Conversation with Intentional Data Visualization
Wednesday, May 30 @ 8:00 AM
Designing charts and graphs is about more than making things look pretty. Ultimately, we report and present our information to teach our audience, to get our content firmly planted in their knowledge base, to help them act and make decisions. Unthoughtful data visualization costs audience time, money, and patience. It foreshortens the conversation. Intentional data visualization clears the way for thought leadership and intellectual discussion. This keynote talk will tell the stories of how effective data presentation shifts organizational culture and changes the conversation.
Dr. Stephanie Evergreen is best known for using a research-based approach to help researchers better present their data to stakeholders through more effective graphs, slides, and reports. A Fulbright scholar, her dissertation illustrated the extent of graphic design use in written research reporting. Her book, Effective Data Visualization, reached #1 on Amazon's bestsellers list, and she authors a popular blog on data presentation at StephanieEvergreen.com.
Cathy O’Neil, data scientist and NYT bestselling author
Weapons of Math Destruction
Friday, June 1 @ 10:00 AM
In this talk, Cathy will expose the mathematical models that shape our future, both as individuals and as a society. These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, decide who gets a job, and monitor our health.
Cathy O’Neil is the author of the New York Times bestselling Weapons of Math Destruction: How Big Data
Increases Inequality and Threatens Democracy, which was also a semifinalist for the National Book Award.
She earned a Ph.D. in math from Harvard, was a postdoctoral fellow in the MIT math department, and a professor
at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then
switched over to the private sector, working as a quantitative analyst for the hedge fund D.E. Shaw in the middle
of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge
funds and banks. She left finance in 2011 and started working as a data scientist in the New York start-up scene,
building models that predicted people’s purchases and clicks.
Cathy wrote Doing Data Science in 2013 and launched the Lede Program in Data Journalism at Columbia in 2014.
She is a columnist for Bloomberg View.