Monday, September 19th, 2016
Nuclear Security Summit & Workshop 2016– Georgetown University
Location: Georgetown University37 St NW and O St NW, Washington, DC (map)
The Georgetown University School of Medicine and Edmund A. Walsh School of Foreign Service ‘s Science, Technology & International Affairs (STIA) are proud to invite you to the 2016 Nuclear Security Summit. This event will take place over two days (September 19th and 20th, 2016) at Georgetown. The summit focuses on four topics: (1) Nuclear policy & international collaborations; (2) Nuclear security (weapons control); (3) Nuclear security (nuclear power plant safeties); (4) Tools to assess ionizing radiation and its impacts. Ambassador Robert Gallucci, who served as the Dean of the School of Foreign Service for 13 years until 2009, kindly agreed to present a keynote address for this year’s summit.
Reception For Ebola Through The Lens– Open Society Foundations
Location: Open Society Foundations 224 W 57th St, New York, NY 10019, USA (map)
Join us at the Open Society Foundations office for a reception for the photography exhibit Ebola Through the Lens in advance of its New York debut at Photoville. The exhibition was originally conceived and installed at the Open Society Initiative for West Africa regional headquarters in Dakar, Senegal, and is currently on view at its satellite office in Conakry, Guinea. The reception will feature short presentations from three contributing photojournalists—Jane Hahn, Jonathan Bundu, and Morgana Wingard—and the screening of a short documentary film.
Tuesday, September 20th, 2016
Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy– Politics and Prose
Location: Politics & Prose1025 5th St NW, Washington, DC 20001, USA (map)
O’Neil, the author of Doing Data Science and a regular commentator on the Slate Money podcast, specializes in demystifying Big Data. Following an average person from college to retirement, she homes in on decisive moments—winning a scholarship, landing a job, getting a loan—when algorithms can determine the outcome. Based on statistics, algorithms seem to level the playing field, holding everyone to the same rules. In fact, O’Neil shows, these models often reinforce bias and discrimination. They’re complicated, hard to argue with, and, most seriously, unregulated. O’Neil will be in conversation with Jen Golbeck, a computer scientist and professor at the University of Maryland.