Using R for Disease Surveillance + Enabling Citizen Data Science and Cybersecurity/safety Tips for Scientists

Description: 

The R programming language has become a critical data science tool for the scientific community but has also helped launch a new era of “citizen data scientists” due to the wealth of packages that make it easy to access rich data sources, perform a wide array of computations and produce striking and informative visualizations. This talk will review the history of the ‘cdcfluview’ package, show how it has been used by researchers and citizens, and provide insight into the rationale that created it. The talk will also provide tips — with a reference — guide to help scientists stay secure and safe — both professionally and personally — as they work with open source tools and ecosystems like R and Python.

Presenter: 

Bob Rudis, Chief Data Scientist, Rapid7

Author: 
Primary Topic Areas: 
Original Publication Year: 
2018
Event/Publication Date: 
January, 2018

January 24, 2018

Contact Us

NSSP Community of Practice

Email: syndromic@cste.org

 

This website is supported by Cooperative Agreement # 6NU38OT000297-02-01 Strengthening Public Health Systems and Services through National Partnerships to Improve and Protect the Nation's Health between the Centers for Disease Control and Prevention (CDC) and the Council of State and Territorial Epidemiologists. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of CDC. CDC is not responsible for Section 508 compliance (accessibility) on private websites.

Site created by Fusani Applications