Events

MIRACLE cloud workshop

Web-based reproducible data analysis: A workshop using the MIRACLE cloud computing platform for the analysis and archiving of computer model output

Cloud computing, and new standards for reproducibility, are changing the way we do science with models. It is changing best practices and what is required to get published.

Do you work with simulation models? Have you encountered challenges in any of the following areas?

Global tipping points

Anthony Barnosky and Elizabeth Hadly are co-authors of the new book Tipping Point for Planet Earth — How Close Are We To The Edge? (Thomas Dunne / St.

We are living in interesting times here in Kitchener-Waterloo! The new LRT corridor is buzzing with construction, both transit-related and new developments. Around the corner from my house, the local tattoo, pizza, and all-night massage parlours are being replaced by an upscale mix-used development with a large underground parking garage. The real estate market has taken a surprising turn, with a high buyer-seller ratio driving both sales and prices. Planning is occurring around station areas, including a vision for new community development and zoning to support it.

Speaker: Matt Hammond

McMaster University Complex Ecological Systems Lab.

Analysis of complex systems force us into a deeper understanding of heterogeneity. In economics and finance this heterogeneity often appears in the form of individual forecasts. This talk will demonstrate how a simulated agent-based financial market generates, and at times magnifies, the dispersion in individual forecasts.

Deep learning has given rise to a major revolution in the field of artificial intelligence (AI). A major challenge with the democratization and proliferation of deep learning as commodity AI for all is the sheer complexity of current deep neural networks, making them ill-suited for operational use in a large number of scenarios.

Join us on May 16 and 17, 2017 at Waterloo Institute for Complexity & Innovation’s (WICI’s) spring conference.

Hosted by the Waterloo Institute for Complexity and Innovation with support from the Field’s Institute for Mathematical Sciences and the Canadian Applied and Industrial Mathematics Society.

WICI Open House - Sept. 20, 2017 - DC 1301

Understanding covert and criminal behaviour from a social network perspective is gathering increasing currency. While the standard social network paradigm assumes that network data has been collected though eliciting ties from respondents in a predefined set of individuals, covert networks pose obviously challenges in several respects. Firstly, the individuals in the network might not be known a prior. Secondly, what constitutes a relevant set of individuals and ties might be ambiguous.