#WeAreEmoryEPI

#WeAreEmoryEPI

Category : #WeAreEmoryEPI

When the Confounder began almost 2 years ago, the editorial team decided from the beginning that we wanted to create a space to showcase what our amazing students, faculty, and staff were accomplishing both in their careers and in their lives outside of EPI. It is no wonder, then, that #IamEmoryEPI quickly became our most-read section of the Confounder – our community is an inspiring, innovative, and hard-working bunch, which makes for some exceptionally engaging reading.

 

Fast forward 2 years, and we have an update that, though mostly symbolic, is meant to place a special emphasis on our greatest quality: our community.

 

This week, our editorial team unanimously voted to re-brand #IamEmoryEPI as #WeAreEmoryEPI. This segment will continue to highlight students, faculty, and staff in the same way as it has in the past, but from now on will represent our shared journey and accomplishments in EPI as opposed to the individuals themselves whose stories we share. This also exemplifies our dedication at the Confounder to inclusion and diversity – our community includes epidemiologists and investigators of every color, nationality, and background. That diversity is our greatest strength and we look forward to sharing more stories that represent the true diversity of our community.

Thanks to our readers!

Editorial Team, The Confounder


If you are interested in being featured on #WeAreEmoryEPI, please complete the form below to be added to our highlight list!

 


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  • The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) July 15, 2024 – July 31, 2024 Conference / Symposium Event Type: Conference / SymposiumSeries: The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)Speaker: Leaders in the FieldContact Name: Pia ValerianoContact Email: pvaleri@emory.eduLink: https://sph.emory.edu/SISMID/index.htmlThe Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) is designed to introduce infectious disease researchers to modern methods of statistical analysis and mathematical modeling.
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