The McKinsey Global Institute, the business and economics research arm of McKinsey & Co., has predicted that by 2018 the United States could face a shortage of between 140,000 to 190,000 people with deep analytical skills, as well as a shortage of 1.5 million managers and analysts who know how to use the analysis of big data to make effective decisions.
The University of Rochester today provided an advanced look of its new data visualization lab, one of the centerpieces of its commitment to apply high performance computing and data science approaches to solve scientific problems. The lab creates the immersive visual experience necessary to allow researchers to understand and manipulate large and complex sets of scientific information.
A new report by the Center for Governmental Research (CGR) shows that the University of Rochester is directly and indirectly responsible for supporting an estimated 50,300 jobs in the region. The report also finds that the new Institute for Data Science will create 460 jobs, and with 22,451 full-time-equivalent (FTE) employees, the University is the eighth largest private sector employer in New York State.
University of Rochester President Joel Seligman announced two extraordinary gifts from The Wegman Family Charitable Foundation (WFCF): a $10 million lead gift to the University’s Institute for Data Science and a $7 million gift to support Golisano Children’s Hospital.
Voice students who want to perfect how they sing their vowels could get help from a new simple, free application developed by a group of University of Rochester students who developed it as part of their Human-Computer Interaction computer science class.
University of Rochester President Joel Seligman announced this morning that the University is committing $50 million—in addition to more than $50 million it has spent in recent years—to greatly expand its work in the burgeoning field of data science. The commitment will include the creation of an Institute for Data Science, construction of a state-of-the-art building to house it, and as many as 20 new faculty members with expertise in the field.
A new system could tell you how likely it is for you to become ill if you visit a particular restaurant by 'listening' to the tweets from other restaurant patrons.
A small group of students and research fellows from URMC’s Heart Research Follow-up Program flexed a lot of academic muscle at the American College of Cardiology’s 62nd Annual Scientific Session last weekend in San Francisco.
Researchers at the University of Rochester showed last year how Twitter can be used to predict how likely it is for a Twitter user to become sick. They have now used Twitter to model how other factors — social status, exposure to pollution, interpersonal interaction and others — influence health.
The Rochester Big Data Forum 2012, which was held at the University of Rochester Oct. 4-6, brought together leading experts in big data analytics and its applications across a range of fields to address how best to deal with these exciting challenges.
In June — and in digital culture, that’s already a good while ago—the CEO of the social networking service Twitter, Dick Costolo, announced that users were posting 400 million tweets a day. And that was up 60 million tweets per day from the figure just three months before. It all adds up to a billion tweets every two and a half days.