Get Your Visualizations Viewed By Millions Via The CADENS Call

Would you like visualizations of your data to be seen by millions of people around the world? Researchers who are interested in collaborating on this project can submit information on their data and/or visualizations at: http://go.illinois.edu/cadens. Initial submissions should be provided by Dec 21, 2014.

Qualifying research generates, analyzes, or visualizes data and depends upon access to advanced cyberinfrastructure, which means your research and/or your visualizations can be considered for inclusion in a series of fulldome digital films and television documentaries.

CADENS (The Centrality of Advanced Digitally ENabled Science) is a National Science Foundation-supported project to increase digital literacy and inform the general public about computational and data-enabled scientific discovery.

It is led by Donna Cox, director of the “Advanced Visualization Laboratory” at the National Center for Supercomputing Applications, which has created data-driven visualizations seen by millions of people in productions for IMAX theaters, planetariums, museums, and science television programs. Other project collaborators are Thomas Lucas, producer/director of more than 30 major science documentary films; XSEDE and the “Blue Waters” project.
CADENS will produce and widely distribute:

• Three ultra-high-resolution digital films that will that will premiere at giant screen fulldome theaters in museums, planetariums, science centers and will be scaled for global distribution to smaller theaters and academic institutions
• Nine high-definition documentary programs to be distributed online via YouTube, Hulu, Amazon, and other popular online outlets, including NSF television.

Examples of the type of science or research that will be considered as potential topics for the above CADENS documentaries could include, but are not limited to:
Social science, ecology, pandemic and disease modeling Severe weather, earthquakes, tsunamis, cyclones, hurricanes Lifecycle of stars, black holes, space weather, evolution of the universe Census analyses, economic modeling Climate change, environment, water sustainability, alternative energy Biophysics, virology, medicine Materials science, nanoscience.