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R Group for Biosurveillance Meeting
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Bob Rudis, Chief Data Scientist from Rapid7, presents on "Using R for Disease Surveillance + Enabling Citizen Data Science and Cybersecurity/safety Tips for Scientists"

When: Wednesday, January 24, 2018
From 12 to 1 pm ET
Where: https://attendee.gotowebinar.com/register/8247028089576938242
United States
Contact: Catherine Tong
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Bob Rudis has over 20 years of experience using data to help defend global Fortune 100 companies and is currently Chief Data Scientist at Rapid7. He was formerly a Security Data Scientist & Managing Principal at Verizon, overseeing the team that produces the annual Data Breach Investigations Report. Bob has authored over 70 R packages and is co-author of Data-Driven Security (Wiley). You can find him on Twitter (@hrbrmstr), GitHub (github.com/hrbrmstr) and the web (rud.is).


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


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.

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