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).
[January 26, 2021]
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.
[January 21, 2021]
Elder Research sponsored 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.
[December 10, 2020]
Christina Ho was a panelist at the CWIT 2020 Summit sponsored by Charlottesville Women In Tech. The panel discussed “Trends in Tech Hiring: Secrets Revealed!”. The online conference was for anyone who supports women in tech and included breakout sessions and online workshops focused on activities for augmenting tech career opportunities.
John Elder presented “How to Tell if Your Market Timing System Will Work: A New Measure of Model Quality” at the European Financial Evolution: AI, Machine Learning and Sentiment Analysis online conference. Hosted by UNICOM, each speaker presented a short talk then gathered for an interactive panel discussion, providing an opportunity for remote delegates to actively participate, communicate through Q&As, and network with peers and panelists.
[November 4, 2020]
Dr. William Goodrum delivered a virtual seminar to the University of Florida Department of Materials Science and Engineering titled “Advances in Modeling the Hot Corrosion Ni-Based Superalloy Gas Turbine Engine Components.” The topic was based on work Elder Research performed for NASA.
[November 3, 2020]
Elder Research co-presented a paper on “Strategy and Application of New Technologies for Asset Management and Predictive Maintenance of Hydro Units” with Sira Kvina at the HYDRO 2020 |Strategies for Future Progress conference.
[October 26-28, 2020]
Elder Research Senior Data Scientist Daniel Brannock spoke about “Tyranny of Coincidence; When Spurious Relationships In Data Appear Significant” on a webinar hosted by KNIME. The push for organizations to incorporate analytics can result in rushed analyses with unreliable insights, even when many established best practices have been followed. A common root cause is what we refer to as the Tyranny of Coincidence, where spurious relationships in data appear significant.
In this webinar we discussed some of the techniques we count on to avoid the Tyranny of Coincidence—target shuffling, robust combinations of cross-validation and hold out data, feature engineering, and more—with practical examples in KNIME.
[October 15, 2020]
John Elder presented “Skill, Luck, or Torture? How to Tell if Your Result is Real” at the Data Science Connect conference. Hosted by AWS, the conference included four tracks: Data Scientists, Data Executives, Industry, and Demos and Applications.
[October 8, 2020]
John Elder presented “How to Tell if Your Market Timing System Will Work: A New Measure of Model Quality” at the Asia-Pacific Financial Evolution: AI, Machine Learning, and Sentiment Analysis online conference. Hosted by UNICOM, each speaker presented a short talk then gathered for an interactive panel discussion, providing an opportunity for remote delegates to actively participate, communicate through Q&As, and network with peers and panelists.
[September 26, 2020]
John Elder was invited to participate in the U.S. Comptroller General’s Forum on “Governance and Accountability of Artificial Intelligence”.
[September 9-10, 2020]
Lead Data Scientist Dr. Thomas Shafer presented “Stay at Home, or at Least Tread Lightly: Using County-Level Data to Study the Effectiveness of COVID-19 Policy” at the Data Science Conference on COVID-19 . The conference showcased open source technology and code used to model and analyze the COVID-19 pandemic and highlighted best practices in replicable and reproducible science. Presentations explored epidemic models of the virus and the pandemics affect on the economy, transportation, the environment, the society and beyond.
[August 28, 2020]
Gerhard Pilcher shared a summary of the Elder Research COVID-19 briefs and some key takeaways on the Impact of COVID-19 Through Data Analytics at an online event hosted by the Northern Virginia Technology Council.
[August 12, 2020]
John Elder joined Prof. Hersh Shefrin, Prof. Gautam Mitra, and Robert Passarella as expert panelists at the Finance Industry Challenge of Covid-19: Defending with Data, Statistics, Analytics and Visualization. Hosted by UNICOM, each speaker presented a short talk then gathered for an interactive panel discussion, providing an opportunity for remote delegates to actively participate, communicate through Q&As, and network with peers and panelists.
[July 2, 2020]
John F. Elder IV, Ph.D. gave a talk on “Even Powerful Science will Fail without Innovative and Honest Culture” at the Army/DSA Innovation Council.
[June 24, 2020]
Lead Data Scientist Wayne Folta was one of the instructors for the “Analyzing and Modeling Coronavirus Data” course offered by Statistics.com. The course covered both epidemiological models and statistical models used to forecast COVID-19 pandemic data.
[June 12, 2020]
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” in Las Vegas
[June 4, 2020]
John Elder delivered a special plenary talk “The Top 3 Innovations In Analytics I’ve Seen” at the Predictive Analytics World for Business conference originally scheduled for Las Vegas.
[June 2, 2020]
John Elder taught a 1-day workshop at Machine Learning Week on “The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques” in Las Vegas
[June 1, 2020]
John Elder lectured on “What Data Results are Real?” to the MBA students in Professor Bodily’s class “Hot Topics in Analytics” at the 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.
[April 13, 2020]
Jeff Deal lectured on “Artificial Intelligence in Healthcare” to the nursing students at Clemson University. The lecture explored using big data, machine learning, predictive analytics, and Artificial Intelligence in health care.
[April 2, 2020]
[February 27, 2020]