Computation+Journalism Symposium



Computation+Journalism Symposium

"Computation+Journalism Symposium is a celebration and synthesis of new ways to find and tell news stories with, by, and about data and algorithms. It is a platform to seed new collaborations between journalists and computer and data scientists, a bazaar for the exchange of ideas between industry, practice and academia, research."

Organizer University of Miami Center for Computational Science
"CCS provides extraordinary intellectual, hardware, and software resources to our partners across the entire University, and beyond, including national and international partners who work in fields such as: such as smart cities, big data analytics, precision medicine, climate change and environmental hazards, computational economics, and social systems informatics, to name ...

"CCS provides extraordinary intellectual, hardware, and software resources to our partners across the entire University, and beyond, including national and international partners who work in fields such as: such as smart cities, big data analytics, precision medicine, climate change and environmental hazards, computational economics, and social systems informatics, to name a few."

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When?

Sat, Feb. 1 - Sun, Feb. 2, 2020

Where?

University of Miami
1320 S. Dixie Hwy.
Coral Gables, FL. 33146
United States of America
"From Miami International Airport: Take LeJeune Road south to Ponce De Leon Boulevard. Turn right on Ponce De Leon and travel about 1 mile to Stanford Drive, main entrance to UM. Stop at the entrance gate for directions to the Pavia Parking Garage or continue on, turning left from Stanford onto Levante Avenue, ...

"From Miami International Airport: Take LeJeune Road south to Ponce De Leon Boulevard. Turn right on Ponce De Leon and travel about 1 mile to Stanford Drive, main entrance to UM. Stop at the entrance gate for directions to the Pavia Parking Garage or continue on, turning left from Stanford onto Levante Avenue, then right onto Pavia. The garage is on your left."

Full Description