Online: The Role of Data During Apocalyptic Times

Data Works MD
Data Works MD
Public group

Online event

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Data drives decisions. As the world dealt with COVID, data was being gathered to help decision-makers respond to the crisis. Join us in April to learn how data was used by JHU to track and manage COVID.

1:00 PM -- Greetings

1:05 PM -- The Role of Data during Apocalyptic Times - John Piorkowski

2:30 PM -- Closings

Zoom and YouTube Streaming
A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into Zoom, you will be able to watch via YouTube.

The Role of Data during Apocalyptic Times
The COVID-19 pandemic is the most profound health crisis to impact the United States and the world in the past 100 years. One critical challenge since the beginning of the pandemic included accurate models to inform organizations’ responses. Numerous models and analytics emerged to address disease spread, hospital utilization, PPE demand and allocation, vaccine allocation, and mortality. Underlying these models and analytics’ efficacy is the need for quality data that provides a high degree of trust. This talk will describe our experiences at the Johns Hopkins University/ Applied Physics Laboratory since the beginning of the COVID-19 pandemic in curating and building high-quality data pipelines to inform the global response.

The talk will set the stage by describing the critical role high-quality data plays in other national security applications and medicine. In partnership with Johns Hopkins Medicine, we developed a precision medicine analytic platform that provides essential data for clinical research across many diseases to include COVID. Finally, the talk will describe the data wizardry underlying the JHU Covid Resource Center and the U.S. Government response since the beginning of the pandemic.

Dr. John Piorkowski serves as the Chief Artificial Intelligence Architect and Applied Information Sciences Branch Head within the Asymmetric Operations Sector at the Johns Hopkins University Applied Physics Laboratory. In these roles, he provides technical oversight and technical staff management for a multitude of national security and healthcare efforts.

Dr. Piorkowski also serves as the chair for the artificial intelligence and co-chair for the data science programs in the Whiting School of Engineering at Johns Hopkins University. As an adjunct faculty member, he teaches courses in social media analytics and artificial intelligence.

Dr. Piorkowski received a B.S. in electrical engineering from The Pennsylvania State University, an M.S. in electrical engineering from the Johns Hopkins University, and a Ph.D. in information systems from UMBC.