Fwd: Resources for Data Science Education
Steffen Hartel
Begin forwarded message:
From: National Academies <NationalAca...@nas.edu>
Subject: Resources for Data Science Education
Date: May 29, 2018 at 2:33:13 PM GMT-4
Reply-To: <us4-136a47f7...@conversation01.mailchimpapp.com>
The National Academies of Sciences, Engineering, and Medicine invite you to attend the seventh meeting and webcast of the Roundtable on Data Science Postsecondary Education on June 13, 2018 in Washington, DC. The meeting will bring together data scientists and educators in academia and industry to learn about the content and organization of new and emerging data science PhD programs, and discuss alternatives for structuring PhD programs including stand-alone PhDs, domain-based concentrations, and interdisciplinary IGERT programs. Learn more about the roundtable and watch past meetings at nas.edu/dsert.
Date/Time: June 13, 2018 from 10:00 AM - 4:30 PM EDT
(Please Note: the afternoon breakout sessions will not be webcast)
Location: National Academy of Sciences Building, Members Room 2101
Constitution Ave., Washington, DC 20418
Register Now »
Join us for a Math Frontiers webinar on June 12th at 2:00 PM EDT. 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.
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.
Register Now »
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.
Read the Report and Learn More »
What is data science and how does it affect you? Check out this video highlighting the key messages of the report.
Frontiers in Massive Data Analysis
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as ...
[read more]
Buy This Book
Download Free PDF
Training Students to Extract Value from Big Data: Summary of a Workshop
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly ...
[read more]
Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop
The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify ...
[read more]
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
The Office of the Under Secretary of Defense (Personnel & Readiness), referred to throughout this report as P&R, is responsible for the total force management of all Department of Defense (DoD) components including the recruitment, readiness, and ...
[read more]
Envisioning the Data Science Discipline: The Undergraduate Perspective: Interim Report
The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to ...
[read more]
Data Science for Undergraduates: Opportunities and Options
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ...
[read more]
Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments
The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about ...
[read more]
A 21st Century Cyber-Physical Systems Education
Cyber-physical systems (CPS) are “engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components.” CPS can be small and closed, such as an artificial pancreas, or very ...
[read more]
The Mathematical Sciences in 2025
The mathematical sciences are part of nearly all aspects of everyday life--the discipline has underpinned such beneficial modern capabilities as Internet search, medical imaging, computer animation, numerical weather predictions, and all types of ...
[read more]
The Frontiers of Machine Learning: 2017 Raymond and Beverly Sackler U.S.-U.K. Scientific Forum
The field of machine learning continues to advance at a rapid pace owing to increased computing power, better algorithms and tools, and greater availability of data. Machine learning is now being used in a range of applications, including ...
[read more]
