Data Science for Undergraduates
Report Release Webinar on May 2, 2018 at 11am EDT
As our economy, society, and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively. At the request of the National Science Foundation, the National Academies of Sciences, Engineering, and Medicine organized a study to explore what data science skills are essential for undergraduates and how academic institutions should structure their data science education programs. We invite you to join us for a report release webinar on May 2, 2018 at 11am EDT. During this webinar, study co-chairs Laura Haas and Alfred Hero will discuss the report's findings and recommendations, followed by a question and answer session with webinar participants.
Learn more about the study, download the interim and final reports, and watch past webinars on the study webpage at nas.edu/EnvisioningDS.
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Webinar on May 8 at 2pm ET: Mathematics of Redistricting
Join us for a Math Frontiers webinar on May 8th at 2pm EDT. Professors Jonathan Mattingly and Karen Saxe will discuss the mathematics of political redistricting—the process of redrawing congressional and state legislative electoral districts.
This webinar is part of a monthly series highlighting exciting and upcoming mathematics research across an array of topics. To see the complete list of webinar topics and register for the webinars you wish to attend, please visit mathfrontiers.eventbrite.com. In case you missed it, watch the recordings of previous webinars here.
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SAVE THE DATE: Upcoming Data Science Events
Programs and Approaches for Data Science Education at the PhD Level
Roundtable Meeting and Webcast - June 13, 2018 - Washington, DC
More Information - Register Now
The meeting will bring together data scientists and educators in academia and industry to 1) learn about the content and organization of new and emerging data science PhD programs, and 2) discuss alternatives for structuring PhD programs including stand-alone PhDs, domain-based concentrations, and interdisciplinary IGERT programs.
Statistics and Data Science for a Cyber Secure Internet of Things
Symposium and Webcast - June 14, 2018 - Washington, DC
Register Now
Rapid growth in the number of devices connected through the internet of things (IoT) poses major challenges to maintaining connectivity, functionality, and security, as demonstrated by prominent cyber attacks launched through IoT devices. Traditional approaches in cyber security such as firewalls and encryption aim to prevent malicious intrusion, however additional countermeasures and approaches are necessary to detect and respond to malicious behavior and to identify when devices or data are compromised. This symposium will discuss the role of statistical models and theory for IoT and for detecting, overcoming, and neutralizing cyber attacks.
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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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