Join the Texas A&M Superfund Research Center for a free, virtual learning series, Big Data in Environmental Science and Toxicology, from July through December 2021. 6 Months—6 Sessions!
Why should you participate? Join us and…
- Engage with Superfund Research Program colleagues and those from the US EPA and Sciome LLC—who have expertise in data sharing tools and initiatives.
- Dive deep into the how and why of data science.
- Benefit from opportunities to learn about manipulating data and placing research into context.
Register now for any or all of these free virtual sessions!
» Download a PDF of the Big Data Series 2021 Flyer
Questions? Email firstname.lastname@example.org.
Big Data Session 1: July 14, 2021
HOW TO PLACE YOUR RESEARCH QUESTIONS OR RESULTS INTO THE CONTEXT OF THE “LEGACY” TOXICOLOGY DATA | Speaker: Antony Williams—US Environmental Protection Agency
Big Data Session 2: Aug. 18, 2021
“NEW APPROACH METHODS”—WHAT IS THAT? | Speaker: Antony Williams—US Environmental Protection Agency
Big Data Session 3: Sept. 8, 2021
MANIPULATING BIG(ISH) DATA IN EXCEL, AND READING INTO R | Speakers: Fred Wright—North Carolina State University, Candice Brinkmeyer-Langford—Texas A&M University, and Dillon Lloyd—North Carolina State University
Big Data Session 4: Oct. 6, 2021
MANIPULATING AND DISPLAYING BIG(ISH) DATA IN R | Speakers: Fred Wright—North Carolina State University, Burcu Beykal—University of Connecticut, and Allison Dickey—North Carolina State University
Big Data Session 5: Nov. 3, 2021
PLACING TOXICOLOGY DATA IN THE CONTEXT OF EXPOSURE | Speaker: Caroline Ring—US Environmental Protection Agency
Big Data Session 6: Dec. 1, 2021
EXPERIMENTS ARE TOO HARD: HOW TO USE ONLINE RESOURCES FOR PREDICTIVE TOXICOLOGY | Speakers: Ruchir Shah, Alex Sedykh, Vijay Gombar, and Austin Ross—Sciome LLC
Post about the series on social media and use this hashtag!