People and Resilience Innovation
Synthetic Models - Humans, Technology, disasters, and the Future
RUNWITHIT’s Inflection Point technology and API, enable models of complex future scenarios including reactive responsive human behaviour, new technologies, and events that haven’t happened yet. In these environments, sophisticated, innovative systems can be trialled, quantified and validated with an exponential number of possible futures.
RUNWITHIT Synthetic Silicon Valley Earthquake 3.5 km2 of Silicon Valley, 40,200 commuters, 1800 residents, 9:15 am May 15, 2019, IX Modified Mercalli Scale Earthquake, Smart City IIoT devices, sensors, and controls in place
A Synthetic Intelligence Environment depicting the IIoT devices, sensors and controls placed to mitigate infrastructure damage during an earthquake, along with Synthetic Residents and Commuters based on earthquake behaviour data from around the world, and how the IIoT data could be utilized to mitigate human outcomes immediately following an earthquake event. Connecting utility data to inform people experiencing emergency scenarios, dynamically creating safe haven routes and quickly communicating evacuation directions saves lives, minimizes stress, and enables more effective, immediate emergency response.
Itron CEO Philip Mezey describing RWI’s Synthetic Modelling and City Resilience
June 11, 2019 IoT for Impact: How Smart Devices are Preparing Communities to Respond to Disasters and Save Lives by Todd Thayer, Senior Director
RUNWITHIT is actively working to contribute to the United Nations Sustainable Development Goals (SDG’s). This project has contributed to the following SDG’s:
