An IH and a Data Scientist Swap Perspectives on Big Data Webinar Recording

Date: Wednesday, Aug. 23, 2023 - Wednesday, Aug. 23, 2023
Time: 1:00 p.m. - 2:00 p.m. (EDT)
Event Type: Webinars, AIHA Webinars

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Earn 1 Contact Hour

Member $99 | Nonmember $125 | Student $25

Industrial hygienists (IHs) rely on a mix of data and professional judgment to protect worker health and predict future exposures. Traditionally, these decisions were made working with observations and minimal data sets. But technological advancements in recent years have allowed the collection of a larger variety and volume of electronic data in a shorter time. The IH/OEHS professional is now confronted with analyzing and managing structured, unstructured, and semi-structured data.

Information management aims to collect information from the best source and make it available to everyone who needs it. Occupational exposure management benefits from access to; 1) workforce data from personnel, occupational medicine, and training; 2) workplace data from engineering; and 3) environmental agent information from purchasing. Similarly, access to exposure assessments informs an organization’s work planning decisions on needed controls, medical placement evaluations and training.

Join an experienced IH/OEHS professional and a data scientist to discuss the continually evolving tools and practices to manage and leverage big data to protect worker health. Topics to be addressed will be prioritized by responses to a community survey best to meet the needs of the IH/OEHS community.

Learning Objectives

After this webinar, participants will be able to:

  • Exploit access to information from others to improve risk management decisions.
  • Better support your organization's health protection program by disseminating exposure assessment information to those who need it to guide work planning decisions.
  • Explain where the various data sources live in an organization and how to tap into these data sources.
  • Determine who acts as your organization's data gatekeeper.
  • Leverage big data to improve your judgments and predictions.


Eric Adams

Eric Adams manages a scientific programming group at Oak Ridge Associated Universities, overseeing the ORISE DOE Data Center, a collection of federal worker health protection programs, and managing the IT infrastructure for the ORISE Beryllium Laboratory, which performs thousands of medical blood tests annually. He triple-majored at the University of South Florida in Computer Science, Mathematics, and Computer Engineering and is pursuing a graduate degree in analytics from the Georgia Institute of Technology. Eric’s passion for data science, health informatics, and the translation of data into knowledge is exemplified daily in his and his team's work.

Paul Wambach, CIH (retired)

Paul Wambach, CIH (retired) worked for the United States Department of Energy (DOE) headquarters offices since 1980 on assignments ranging from policy development and oversight to health studies. One of his projects at the DOE was the Beryllium-Associated Worker Registry, which collects, analyzes, and reports health and exposure data created through the operation of the Department of Energy chronic beryllium disease (CBD) prevention programs. Mr. Wambach has over 30 years of experience in the comprehensive industrial hygiene practice.