Using new models and big data to better understand financial risk
Bringing together engineers, data theorists, mathematicians, economists, biologists, and policy experts, IDSS is looking at financial risk through a multidisciplinary lens.
Bringing together engineers, data theorists, mathematicians, economists, biologists, and policy experts, IDSS is looking at financial risk through a multidisciplinary lens.
Driven by student demand and the blending of fields, new opportunities include management tracks and minors in computer science, data science, and innovation.
Researchers in IDSS are learning how ideas evolve over networks, quantifying the influence of individuals in networks, and making better predictions.
In MIT talk, U.S. Patent Office director Michelle Lee announces new initiatives for public data use.
The world’s biggest sports analytics conference shows how theorists have changed sports.
Software mines insurance claims data to determine best coverage for employees, within a budget.
MIT professor uses operations research and optimization modeling to investigate topics from traffic flows to subsidies for green energy technologies.
Course 15 will offer undergraduates three new majors — management, business analytics, and finance — starting this fall.
Voice-analytics software helps customer-service reps build better rapport with customers.
Software analyzes online chatter to predict health care consumers’ behavior.
Automated energy analytics platform collects data on commercial buildings to improve energy efficiency.
Sensors that track inhaler use aim to keep asthma patients healthy, cut health care costs.
MIT Forum for Supply Chain Innovation and Infosys Global Risk Advisory Group survey aims to better understand how industry perceives risk and challenges.
Group will focus on helping industry expose and mitigate risk.
Analysis shows that smarter programming of stoplights could improve efficiency of urban traffic.