Thursday, January 30: ArtSci Salon at the Fields Institute

Artscisalon with Subtle Technologies Festival and the Fields Institute present:
The Best Festival ever: systems science goes to the theatre

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When: Thursday January 30, 6:30-8:30
Where: The Fields Institute for Research in Mathematical Sciences, 222 College Street, Toronto

A presentation by special guest performing artist David Finnigan, visiting from Australia, in conversation with Dr. Joseph Geraci.

Click here for directions.

Check out the ArtSci Salon blog at artscisalon.wordpress.com.
RVSP on Facebook and see who’s coming.

The Best Festival Ever project explores the interplay of natural and human made systems explored by Systems Science unfolding through a theatrical presentation. Part theatre show, part performance lecture and part board game, Best Festival Ever introduces participants to concepts from systems science, using the example of a music festival. Through a variety of interactive games, the audience works together to program and deliver their own unique music festival. Over 60 minutes, they move from planning to execution, doing their best to keep the festival and its audience from collapsing into chaos.

In presenting this work, David Finnigan will engage in a creative conversation with Dr. Joseph Geraci.

Biographies:

David Finnigan is an Australian science-theatre artist and festival director. With science-theatre ensemble Boho, David creates interactive performances working with research scientists from organisations such as University College London, CSIRO and the Powerhouse Museum, Sydney. Boho has presented work for the Asia-Pacific Complex Systems Science Conference, TEDx Canberra, the Brisbane Festival Under The Radar, the Battersea Arts Centre and the ACT Street Theatre.

Dr. Joseph Geraci (Neuropsychiatry @ UHN and Molecular Medicine @ Queen’s) is a mathematical physicist working in medicine and drug discovery. He uses mathematical structures to strip away the cacophony of noise that is inherent in medical data sets where the goal is the ability to predict the most effective treatment for individual patients. He utilizes graph theory, topology, geometry, statistics, dynamical systems theory and beyond.

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This free event is supported by:

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