Next Mathematical Frontiers Webinar on Feb 12: Machine Learning for Materials Science
Join the National Academies of Sciences, Engineering, and Medicine for a webinar series featuring exciting and upcoming mathematics research across an array of topics. Webinars will take place on the second Tuesday of each month from 2-3 p.m. ET, with two speakers and live Q&A.
The first webinar is on Machine Learning for Materials Science and will take place on February 12 at 2pm ET. During the webinar, Professors Elizabeth Holm and Rampi Ramprasad will discuss how machine learning tools are advancing materials discovery and design.
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Read below for the complete list of 2019 webinar topics:
- February 12, 2019: Machine Learning for Materials Science
- March 12, 2019: Mathematics of Privacy
- April 9, 2019: Mathematics of Gravitational Waves
- May 14, 2019: Algebraic Geometry
- June 11, 2019: Mathematics of Transportation
- July 9, 2019: Cryptography and Cybersecurity
- August 13, 2019: Machine Learning in Medicine
- September 10, 2019: Logic and Foundations
- October 8, 2019: Mathematics of Quantum Physics
- November 12, 2019: Quantum Encryption
- December 10, 2019: Machine Learning for Text
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.
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Join us for Two Sessions at the 2019 AAAS Annual Meeting in Washington, DC
Heading to AAAS? Join scholars from the Committee on Applied and Theoretical Statistics and the Board on Mathematical Sciences and Analytics for two sessions related to data science and machine learning.
Machine Learning for the Automation of Scientific Discovery Across Disciplines
Sunday, February 17, 2019 from 8am-9:30am
Marriott Wardman Park Thurgood Marshall Ballroom South
More Information
Massive amounts of data, increased computing power, and advances in statistical learning algorithms are transforming human lives, the economy, and the process of scientific discovery itself. This symposium will focus on how data-driven machine learning algorithms can complement human expertise in making high-level decisions, thus pushing the envelope of automated scientific discovery across diverse scientific disciplines.
Environmental Health Data Integration Across Scales
Sunday, February 17, 2019 from 10am-11:30am
Marriott Wardman Park Virginia Suite
More Information
In environmental health, collecting and combining new types and increasing volumes of exposure and health data creates unprecedented opportunities to improve individual, community, and global health decisions. Building on a series of recent National Academies of Sciences, Engineering, and Medicine projects, this session will explore technological advances in data collection, methods for data integration, and how these can support better environmental health decision-making at different scales, ranging from personal and neighborhood to global initiatives.
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Committee Meeting on Feb 27: Forecasting Costs for Preserving, Archiving, and Promoting Access to Biomedical Data
The National Academies of Sciences, Engineering, and Medicine invites you to participate in a consensus study committee meeting on February 27, 2019 from 10am-2:45pm EST. Over the course of the study, the committee will develop a framework for forecasting long-term costs for preserving, archiving, and accessing various types of biomedical data.
Learn more on the study webpage.
This study is sponsored by the U.S. National Library of Medicine of the National Institutes of Health.
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Elevating Mathematics Video Competition
The mathematical sciences are part of everyday life. Modern communication, transportation, science, engineering, technology, medicine, manufacturing, security, finance, and many other disciplines depend on the mathematical sciences, even if we don’t always realize it. It is important for mathematical researchers to convey the importance of their work to diverse audiences. This often comes down to being able to quickly and simply describe what you are doing and why.
With that in mind, the National Academies’ Board on Mathematical Sciences and Analytics (BMSA) invites early career professionals and students who use mathematics in their work to submit short video “elevator speeches” describing how their work in mathematics is important and relevant to our everyday lives. This can be an unedited selfie video, an animation, or any other format. We just want to learn about why your work is important in 1-2 minutes.
The winning video will be announced and played during the 2019 SIAM Conference on Computational Science and Engineering in Spokane, Washington. The winning participant will receive the $1000 Oden-Beder prize and be featured on our website. You do not need to attend the conference or be a SIAM member to participate.
#ElevatingMath
Connect with us @theNASEM
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The deadline for video submissions is February 27, 2019 at 11:59pm EST. If you have any questions about the competition, please contact Michelle Schwalbe at mschwalbe@nas.edu. The winner will be announced no later than March 1, 2019.
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About Math and Statistics at the National Academies
The Board on Mathematical Sciences and Analytics (BMSA) leads activities in the mathematical sciences at the National Academies in topic areas including from applied mathematics, scientific computing, and risk analysis.
The Committee on Applied and Theoretical Statistics (CATS) organizes studies and events focusing on the statistical sciences, big data and data science, statistical education, the use of statistics, and issues affecting the field. CATS occupies a pivotal position in the statistical community, providing expertise in methodology and policy formation.
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