Math Frontiers Webinar Series: Webinar Dates, Topics, and Instructions Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on exciting and upcoming mathematics research across an array of topics. Webinars will take place on the second Tuesday of each month from 23 p.m. ET, with two speakers and live Q&A. The 2019 webinar dates and topics are now posted! Webinar topics include machine learning, astronomy, transportation, medicine, and cryptography. Click the registration link below to learn more. This webinar series is made possible by the generous core support of the Board on Mathematical Sciences and Analytics from the National Science Foundation Division of Mathematical Sciences and the Department of Energy Advanced Scientific Computing Research. CLICK HERE TO REGISTER FOR A WEBINAR (You will have the option to select the specific webinars you'd like to attend) WATCH PREVIOUS WEBINARS Password for all webinars: math 2019 Math Frontiers Webinars February 12, 2019 at 2 p.m. ET: Machine Learning for Materials Science Professors Elizabeth Holm and Rampi Ramprasad will discuss how machine learning tools are advancing materials discovery and design. Watch Webinar Video Presentation March 12, 2019 at 2 p.m. ET: Mathematics of Privacy Professors Kamalika Chaudhuri and Katrina Ligett will discuss mathematical approaches to protecting individual privacy and confidentiality, and how these methods work in practice. Watch Webinar Video Presentation April 9, 2019 at 2 p.m. ET: Mathematics of Gravitational Waves Professors Manuela Campanelli and Thomas Baumgarte will discuss mathematical approaches to exploring gravitational waves. Watch Webinar Video Presentation May 14, 2019 at 2 p.m. ET: Algebraic Geometry Professor Ravi Vakil and Bernd Sturmfels will discuss the history and applications of algebraic geometry, the branch of mathematics that studies zeros of polynomials and solves geometrical problems about these sets of zeros. Watch Webinar Video Presentation June 11, 2019 at 2 p.m. ET: Mathematics of Transportation Professor Pascal Van Hentenryck and Alain Komhauser will discuss mathematical approaches that inform transportation policies and improve transportation networks. July 9, 2019 at 2 p.m. ET: Cryptography and Cybersecurity Professor Suman Jana and Dr. Kristin Lauter will discuss mathematical foundations and opportunities in cryptography and cybersecurity. August 13, 2019 at 2 p.m.ET: Machine Learning in Medicine Professors Juan B. Gutierrez and Mihaela van der Schaar will discuss applications of machine learning in medicine. September 10, 2019 at 2 p.m. ET: Logic and Foundations Professors Natasha Dobrinen and Julia Knight will discuss mathematical logic and foundations and their applications. October 8, 2019 at 2 p.m. ET: Mathematics of Quantum Physics Professor Anna Krylov and Xiaosong Li will discuss the mathematics underpinning quantum physics, and how mathematical advances may lead to new breakthroughs. November 12, 2019 at 2 p.m. ET: Quantum Encryption Professor Delaram Kahrobaei and Dr. Lily Chen will discuss the mathematics behind quantum encryption and opportunities for future research. December 10, 2019 at 2 p.m. ET: Machine Learning for Text Professors Marine Carpuat and Tengyu Ma will discuss how machine learning methods are being applied to text analysis and what these efforts could unveil. 2018 Math Frontiers Webinar Archive Video playlist of all past webinars February 13, 2018 at 2 p.m. ET: Mathematics of the Electric Grid Professors Sean Meyn and Steven Low will discuss mathematical applications for the preservation, stability, and resilience of the electric grid and other modern power systems. Watch Webinar Video View the Presentation March 13, 2018 at 2 p.m. ET: Probability for People and Places Professors Kenneth L. Lange and Gregory F. Lawler will discuss applications of probability theory, including how DNA results are used to calculate family ancestry. Application areas include investment analytics and game theory. Watch Webinar Video View the Presentation April 10, 2018 at 2 p.m. ET: Social and Biological Networks Professors Nina Fefferman and Alessandro Vespignani will discuss the mathematical interface of social and biological networks. Topics will include mathematical models of evolutionary pressures on social behavior and mathematical formulations of contagion processes. Watch Webinar Video View the Presentation May 8, 2018 at 2 p.m. ET: Mathematics of Redistricting Professors Jonathan Mattingly and Karen Saxe will discuss the mathematics of political redistricting—the process of redrawing congressional and state legislative electoral districts. Watch Webinar Video View the Presentation June 12, 2018 at 2 p.m. ET: Number Theory: The Riemann Hypothesis Professors Ken Ono and Terence Tao will speak on the importance and recent advances on the Riemann Hypothesis, one of the most famous unsolved problems in algebra and number theory. Watch Webinar Video View the Presentation July 10, 2018 at 2 p.m. ET: Topology Professors Genevieve Walsh and Jeffrey F. Brock will discuss applications of topology—the mathematical study of how object properties are impacted by deformations—to fields such as data analytics, tumor identification, and robotics. Watch Webinar Video View the Presentation August 14, 2018 at 2 p.m. ET: Algorithms for Threat Detection Professor Andrea Bertozzi and Abel Rodriguez will discuss applications of mathematics to spatiotemporal data analytics as a way to discover and mitigate national security threats. Watch the Webinar Video View the Presentation September 11, 2018 at 2 p.m. ET: Mathematical Analysis Professor Dimitri Shlyakhtenko and Svitlana Mayboroda will discuss mathematical analysis and differential equations, with applications to computational fluid dynamics, astronomy, and condensed matter physics. Watch the Webinar Video View the Presentation October 9, 2018 at 2 p.m. ET: Combinatorics Professors Jacques Verstraete and Sara Billey will discuss the mathematical study of discrete structures and their properties focusing on some of the modern techniques in the area including the probabilistic method. Application areas include information theory, statistical physics, molecular biology and computer science. Watch the Webinar Video View the Presentation November 13, 2018 at 2 p.m. ET: Why Machine Learning Works Professors Aarti Singh and Dave Donoho will discuss the mathematics behind machine learning and how they enable predictive analyses. Watch the Webinar Video View the Presentation December 11, 2018 at 2 p.m. ET: Mathematics of Epidemics Professors Calistus Ngonghala and Folashade B. Agusto will discuss mathematical approaches to studying biology, including ecology and infectious disease. Watch the Webinar Video View the Presentation
