Senior Data Scientist Aric LaBarr spoke on Model Validation to Masters of Statistical Science students at Duke University on October 31, 2017.
Aric LaBarr Spoke on Model Validation at Duke University
RightShip Presenting Predictive Model Validated by Elder Research at PAW Business
Bryan Guenther, Qi Program Manager at RightShip, will present "Overcoming Challenges Implementing a Risk Model in the Maritime Industry" at Predictive Analytics World for Business in New York City on October 31st. The session will highlight challenges with implementing Predictive Analytics in a unique, ground-breaking case study of predictive model deployment in the maritime industry. Prior to launch RightShip contracted Elder Research to validate the Qi models predictive performance.
Wanye Folta's Article on Nested Cross Validation Published in PA Times
Data Scientist Wayne Folta's article "Nested Cross Validation: When (Simple) Cross Validation Isn’t Enough" was published in Predictive Analytics Times. The article addresses the proper use and partitioning of cross validation to help avoid under-performance in predictive models once deployed.
Zach Lamberty to Teach Advanced Mathematical and Statistical Computing at Georgetown University
Data Scientist Zach Lamberty designed and will teach a new graduate course Advanced Mathematical and Statistical Computing for the Department of Mathematics and Statistics at Georgetown University. The goals for this hands-on course are to learn about advanced computational tools and methods utilized in the data science field, including how to use and administer cloud computing resources, useful utilities in the Linux environment, and the AWS suite of cloud services. Among the AWS services the course will focus on general use services (e.g. EC2, S3), the Hadoop distributed computing ecosystem, the map reduce framework, and the application of these concepts to working with and understanding large datasets.
Stuart Price to Teach Mathematical and Statistical Computing at Georgetown University
Data Scientist Dr. Stuart Price will teach the graduate course Mathematical and Statistical Computing for the Department of Mathematics and Statistics at Georgetown University. The goal of this course is to provide students with programming background sufficient for graduate level study in mathematics and statistics. The course gives an introduction to R, SAS, Python and cloud computing. Statistical topics to be covered include data management, simulation, descriptive statistics, graphical displays, hypothesis testing, correlation, regression models, and simple multivariate analysis methods.
Gerhard Pilcher to be Inducted into NC State Department of Computer Science Alumni Hall of Fame
Gerhard Pilcher was selected as an inaugural member of the new NC State Department of Computer Science (CSC) Alumni Hall of Fame! This extraordinary honor celebrates and recognizes the exemplary contributions the outstanding graduates have made to their profession, their community, and to the world at large. The University hopes that award winners will inspire current and future students, while promoting the department's global impact for producing incredible talent that embodies the University's mantra to "Think and Do the Extraordinary!". The inaugural class of 25 was selected from more than 9,000 CSC alumni and will be honored at a special luncheon and induction ceremony on October 12, 2017.
Miriam Friedel Discusses Humanity's Role in a Data-Driven Future with APQC
Miriam Friedel, PhD participated in APQC’s Data Driven by Design series. Organizations cite establishing a data-driven culture as their top challenge when it comes to data and analytics. To help address that challenge APQC posed the question: What is the role of the human mind (i.e., intuition, experience, acumen) in a business environment that's becoming increasingly automated and data driven?
Postal Service Busted Up a Billion-Dollar Drug Problem with Data
Kelly Tshibaka, chief data officer within the Postal Service’s OIG, revealed the impact of using a fraud detection solution called RADR developed by Elder Research to investigate a spike in health care costs revolving around workers’ compensation claims and spending on prescription drugs at the Department of Labor. The increased spending was a coordinated effort between several parties attempting to fleece the government for millions of dollars. The scam focused on compound drugs, which allows multiple medications to be blended into a single pill but is billed full price for each medication.
In total, the Office of the Chief Data Officer she heads has used analytics to peruse millions of pages of paperwork to produce more than 500 leads for investigators across the $13 billion the Postal Service spends on contracts annually, with “only one of them a false positive.”
“Last year, our tools and models helped us contribute to $920 million in findings,” Tshibaka said. “Anyone in the position of having to do more with less? Your answer is data analytics.” Read more.
Data Analyst, Halee Mason, Discusses Her Experience with UW Master of Data Science Program
The path to a data science career often takes unexpected twists and turns. Data scientists have professional backgrounds as varied as journalist, systems developer, or—in the case of University of Wisconsin Master of Data Science student Halee Mason—lab scientist. Halee shares how she went from lab scientist to data scientist, what drew her to this particular program, and what advice she would give to someone considering a data science degree. Read the interview.
Elder Research Wins $100M BPA to Support the Securities and Exchange Commission OCIE
Under this eight year blanket purchase agreement for the National Examination Program Support Services (NESS) contract, Elder Research is eligible to compete for task orders and is responsible for Asset Verification, and Analytics and General Support. The National Exam Program strives to promote compliance, prevent fraud, monitor risk, and inform policy for the U.S. Securities and Exchange Commission Office of Compliance Inspections and Examinations (OCIE).