Ira builds data-driven models of complex systems and deploys them as real-time, interactive simulations to help institutions answer meaningful questions about technology and society.
Data-driven modeling and sociotechnical system simulation.
Helping stakeholders pose questions and engage with insights from data.
Talk: Novel Interfaces for Collaborative Decision Making
Media Lab researchers Ira Winder and Nina Lutz presented the Tactile Matrix at the IEEE-SAI Future Technologies Conference and won the award for best demonstration. The Tactile Matrix is an open source system for a machine-readable matrix of objects that performs real-time computation and dynamic projection-mapping for projects like CityScope.
I'll be discussing interactive simulation tools and methods Tuesday, October 24 from 5:00pm (EDT) at the Boston Society of Architects' Committee for Research and Innovation Design chaired by Luke Voiland and Hilary Barlow. The venue is free and open to the public. Register for the event.
Hamburg adopted the Tactile Matrix platform in a joint venture with MIT Media Lab CityScope Project and Hafencity University to plan for refugees.
After getting the flu and watching the Star Trek episode about hyper-procreative tribbles, I suddenly got the urge to model self-replicating organisms in Processing.
Tactile Matrix and other techniques were featured in Wired's review of augmented reality applications being developed at the MIT Media Lab.
A novel method for visualizing granular trip data when all you have is an OD matrix and a street network.
MIT Media Lab Changing Places Group and MIT Center for Transportation and Logistics are developing a decision support tool for calculating delivery service areas.
The President’s Council of Advisors on Science and Technology (PCAST) published "Technology and the Future of Cities Report to the President" that highlighted the CityScope Project developed by Ira Winder.
We developed a suite of interactive tools to teach the public about the potential impact of bus rapid transit (BRT) in their neighborhood. Ryan Chin discusses the methodology.