CASE STUDIES & PUBLICATIONS
APPLIED SUCCESS
See how we make data work in these case studies
A DEEP DIVE INTO DRIVING DATA FINDS SIGNIFICANT ROOM FOR ADDITIONAL FUEL EFFICIENCY
Partner Vnomics Industry Transportation Goal Analyze Vnomics driver data to determine if further fuel efficiency could be realized. Approach Machine learning Cluster Analysis Non-linear modeling Natural Splines Variance-component analysis XGBoost with SHAP Explainable AI Analysis The Opportunity Vnomics provides a service to monitor and coach truck drivers for better fuel performance so that fleets can [...]
BUILDING A PLATFORM FOR VITAL COMMUNITY HEALTHCARE INFORMATION
Partner Common Ground Health Industry Healthcare Goal Build a platform to facilitate data sharing and collaborative research among community stakeholders. Approach Batch Processing Machine Learning Stream Processing The Opportunity Common Ground Health (CGH), a health research and planning organization for 9 Finger Lakes counties, sought to develop a data platform that would make community health [...]
MACHINE LEARNING INCREASES ACCURACY AND EFFICIENCY OF CLINICAL TRIAL DATA COLLECTION
Partner URMC physicians Industry Healthcare Objective Improve data collection and data analysis processes in clinical trials. Approach Machine learning The Opportunity New treatments for myotonic muscular dystrophy, a genetic disorder whose symptoms include gradually worsening muscle loss and weakness, are being developed and evaluated in clinical trials. Successful clinical trials require efficient, high quality data [...]
APPLYING ADVANCED DATA SCIENCE TO STUDY THE PROGRESSION OF PARKINSON’S DISEASE
Partner Center for Health + Technology (CHeT) Industry Medical Research Objective Grant support from National Institutes of Health (NIH) to study cognitive progression in people living with Parkinson’s disease. Approach Sequential Machine learning Explainable AI Data Imputation Generative Modeling The Opportunity RDSC teamed up with the University of Rochester’s Center for Health + Technology (CHeT) [...]
CUSTOMER AND SALES ANALYTICS FOR THE 2019 KITCHENAID SENIOR PGA CHAMPIONSHIP
Partner Cause + Effect Strategy Industry Advertising & Marketing Objective Drive ticket sales at the 2019 KitchenAid Senior PGA Championship at Oak Hill Country Club through advanced data analytics. Approach Econometrics Advanced Statistics and Data Analytics Machine Learning The Opportunity Local marketing analytics firm Cause + Effect Strategy (CES) was contracted by PGA of America [...]
A MACHINE LEARNING APPROACH TO UNIVERSITY RANKINGS
Partner University of Rochester – Office for Global Engagement Industry Higher Education Objective Build objective and time dynamic framework for data-based ranking of universities The Opportunity University of Rochester’s Office for Global Engagement sought a data-driven university ranking methodology that more accurately assesses the strengths and weaknesses of research institutions in the U.S. and worldwide. [...]
REDUCING RISK OF CAPITAL INVESTMENT IN SERVICE EXPANSION
GoNetspeed’s profitability depends on take-up-rate -- the pace at which new customers sign up after build out. RDSC applied advance data science models to reduce risk by forecasting regions that would produce the take-up-rates to warrant investment in infrastructure. Partner GoNetspeed Industry Fiber-to-the Home Objective Locate optimal location for capital expansion Approach Machine learning Statistical [...]
NEWS
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RDSC Scientists to Speak at the CVPR Conference, Virtually
The Rochester Data Science Consortium is attending (virtually) the 2020 Computer Vision and Pattern Recognition (CVPR) Conference, taking place entirely online due to COVID-19 precautions. From June 14th – June 19th, over 6,500 attendees will gather, virtually, to take part in this premier annual computer vision event. Scientists from the Rochester Data Science Consortium will [...]
Occupational Factors Affecting the Safe Reopening of the Economy
A Data-Driven Framework to help minimize the “reopening risk” Researchers at the Rochester Data Science Consortium have written a white paper that outlines a data-driven approach to safely reopening business, identifying factors that mitigate the risk of COVID-19 transmission. The paper focuses on two mechanisms: Identifying classes of employees in occupations that can perform their [...]
RDSC Scientists to Speak at URMC’s Multiphoton and Analytical Imaging Center
Put on by Co-hosted: Multiphoton and Analytical Imaging Center Center for Advanced Light Microscopy and Nanoscopy Date Tuesday, March 10 12:00pm - 1:00pm Where URMC 601 Elmwood Ave, Rochester, NY 14642 Case Method Room (1-9576) - Map Cost Free and open to the public Sponsored by University of Rochester Medical Center Machine and Deep Learning [...]
RDSC Economist: The Opioid Crisis May Be Far Worse than We Thought
RDSC Economist Andrew Boslett's Research Featured in National Media Rochester Data Science Consortium Economist Andrew Boslett's recently published research, co-authored with Elaine Hill, Ph.D., Economist and Assistant Professor in the University of Rochester Medical Center (URMC) Department of Public Health Sciences, and Alina Denham, M.S., URMC, argues that opioid-related overdoses could be 28 percent higher [...]
RDSC Scientists to Improve Modeling of Power Systems through Machine Learning
Rochester Data Science Consortium Awarded NYSERDA Grant to Develop Advanced Modeling of Power System Dynamics through Machine Learning Rochester Data Science Consortium scientists at the University of Rochester, in partnership with the University of Vermont and the New York Power Authority, have been awarded $225,000 from the New York State Energy Research and Development Authority [...]
Rochester Data Science Consortium Open House
Rochester Data Science Consortium Open House Tuesday, November 19th, 2019 – NextCorps Rochester, NY Walter Johnson, Executive Director, shares a laugh with RDSC Members. The Rochester Data Science Consortium hosted its first annual Open House on November 18th at its Sibley office, located in downtown Rochester. Over 50 RDSC members, staff, and friends attended the event to connect [...]
RDSC Internship Program creating jobs at the University of Rochester
Harrison Frank, data scientist and design researcher (University of Rochester photo / J. Adam Fenster) One year ago, Harrison Frank began work as an intern at the RDSC where he was deployed to the Office of Communications under the mentorship of Brian Piper, Director of content strategy and assessment in University Communications. The RDSC sponsored [...]
RDSC Member CAUSE + EFFECT Strategy and Marketing Growth Inspires Name Change; Honored by Adweek as Fastest Growing Agency
Rochester Data Science Consortium Member Company CAUSE + EFFECT Strategy and Marketing, today announced that it will be changing its name to CAUSE + EFFECT Strategy to reflect expansion into new markets, and a shift from marketing intelligence to overall business intelligence. Additionally, this RDSC Member Company earned the 87th spot and the only marketing [...]
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