Past Events

John Elder Will Deliver a Special Plenary Talk at Predictive Analytics World 2021

John Elder delivered a virtual special plenary talk at the Predictive Analytics World  Machine Learning Week. Machine Learning Week includes eight tracks of sessions covering the commercial deployment of machine learning.

[05-26-2021]

Ramon Perez to Speak at PAW Industry 4.0

Ramon Perez, Director UK Operations, and Sira-Kvina kraftselkap, a large Norwegian power producer, presented a case study on deep learning models developed and deployed as part of a predictive maintenance solution to identify likely component failures within hydroelectric generator and turbine systems. In this session, he discussed the design concept, modeling approach, solution architecture, and how it is implemented as part of the maintenance team workflow. He also explained what makes machine learning so challenging in the utilities industry where labeled cases are in short supply.

[05-25-2021]

John Elder to Teach a 1-Day Virtual Workshop on "The Top 12 Analytics Mistakes"

John Elder taught a 1-day workshop at Machine Learning Week on “The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them“. This one-day session revealed the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explained the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models.

[05-21-2021]

John Elder to Teach a 1-Day Workshop on "The Best of Predictive Analytics"

John Elder taught a 1-day virtual workshop at Machine Learning Week on “The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques. This one-day session surveyed standard and advanced methods for predictive modeling (aka machine learning).

[05-19-2021]

Elder Research at ASA Data Science Virtual Career Information Fair

Daniel Brannock and Kimberly Keiter represented Elder Research at the North Carolina Chapter of the American Statistical Association (ASA)’s Statistics and Data Science Virtual Career Information Fair.

[04-13-2021]

John Elder to Lecture at UVA Darden School of Business

John Elder delivered a virtual lecture on “How to Know if Your Discovery is Real” to the MBA students in Professor Lichtendahl’s class “Hot Topics in Analytics” at the University of Virginia Darden School of Business. The lecture explored how to know if your discovery is real, or luck, or a result of “torturing the data until it confessed”.

[03-30-2021]

Elder Research to Sponsor the UVA Link Lab Flash Talk Series

Elder Research was proud to sponsor the University of Virginia Link Lab Flash Talk series. Elder Research is an industry affiliate sponsor of the Link Lab, an interdisciplinary, cyber-physical systems research center hosted at UVA. During this one hour session, PhD students from the Link Lab provided two-minute synopses of their research on difficult problems in Autonomous Systems, Connected Health, Smart Cities, and Hardware for IoT.

[03-04-2021]

John Elder to Present to The Department of Statistical Science at Duke

John Elder will deliver the virtual talk “Top 3 Things I’ve Learned in 3 Decades Of Data Science” to the students in the Department of Statistical Science at Duke University on February 17, 2021. John says “the three most important analytic innovations [he’s] seen in three decades of extracting useful information from data have to do with Ensemble models, Target Shuffling, and Cognitive Biases.

[02-17-2021]

Dr. Jennifer Schaff Presents at Partnering with the Public for Biomedical Research Seminar

Dr. Jennifer Schaff joined Larsson Omberg, Sage Bionetworks, to present on the “Life Cycle of the mPower Public Researcher Portal“, one of the first large-scale attempts to assess the feasibility of quantifying Parkinson disease symptoms and their changes in a real-world setting.

The new seminar series “Partnering with the Public for Biomedical Research” was hosted by the NIH Citizen Science Working Group and sponsored by the NIH Office of Data Science Strategy (ODSS).

[01-26-2021]

Grant Fleming to Speak at the RStudio Global 2021 Conference

Grant Fleming delivered a talk on “Fairness and Data Science: Failures, Factors, and Futures” at the virtual RStudio::Global 2021 Conference.

Session Abstract: In recent years, numerous highly publicized failures in data science have made evident that biases or issues of fairness in training data can sneak into, and be magnified by, our models, leading to harmful, incorrect predictions being made once the models are deployed into the real world. But what actually constitutes an unfiar or biased model, and how can we diagnose and address these issues within our own work? In this talk, I will present a framework for better understanding how issues of fairness overlap with data science as well as how we can improve our modeling pipelines to make them more interpretable, reproducible, and fair to the groups that they are intended to serve. We will explore this new framework together through an analysis of ProPublica’s COMPAS recidivism dataset using the tidymodels, drake, and iml packages.

[01-21-2021]