The Natural Order and Divine Law of Optimization
Michael Ferris and Stephen Wright, principal investigators in the WID Optimization Theme comment on New York Times Magazine article “A Sucker is Optimized Every Minute”.
Big data refers to a collection of data sets so large and complex that that they are difficult to process using available database management tools or traditional data processing applications. WID researchers are making transformative contributions to the mathematical and theoretical underpinnings of tools for analyzing massive data sets.
Big data is an important component of WID’s Data Science Hub.
Michael Ferris and Stephen Wright, principal investigators in the WID Optimization Theme comment on New York Times Magazine article “A Sucker is Optimized Every Minute”.
The Advanced Computing Initiative (ACI) links researchers and computing resources to maximize productivity.
How can researchers extract useful information from patient data to develop life-saving treatments while making sure records stay private and protected? A WID collaboration looks for an answer.
Now at NASA, WID alumnus Jamon Van Den Hoek takes a bird’s eye view to understand the causes and impact of social conflict on society and the environment.
Students wrestle with the sustainability challenges of making real-world decisions about biofuel agriculture while playing an educational video game developed by WID researchers.
Harvesting data and harvesting crops? There’s an app for that.
Math’s everywhere — at least that’s the message from Discovery Fellow Jordan Ellenberg in his new book “How Not To Be Wrong.” Read a conversation with him on math’s impact on our lives, from science to religion.
WID and the New York Hall of Science team up to collect data on learning and games.
What if clothing could respond to its environment? That’s the idea behind a transdisciplinary class offered by WID and School of Human Ecology researchers.
WID researchers develop algorithms for many applications and industries, but one side project boasts a more playful goal: Mapping brew preferences.
What do math and movies have in common? WID researcher Ben Recht explains how incomplete data sets and the “Netflix problem” aren’t that different after all.