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Penn State Data Science Community

Penn State Data Science encompasses the multidisciplinary and still-evolving field of data science. This site provides a hub where current and prospective students, faculty, and industry partners can learn about academic programs, areas of research, and events of interest to the broader data science community.

Upcoming Data Science Community Meeting

Monday, October 19, 2020, 3:00 – 4:00 p.m.

This meeting will take place over Zoom.

Registration is required to receive the Zoom information for this meeting. You can register at:

Data Science Community Open Discussion – Data Science and Public Health

We hope that this will be an opportunity to collaboratively think about a particular area of data science work, share information, glean advice, and develop new collaborations in virtual space!


Matt Ferrari, Associate Professor of Biology

Discussion topic

Data and data science can improve public health efforts through changes in methodologies as well as response approaches. Through the use of big data and data science, public health methodologies can shift from models towards evidence-based interventions and public health approaches can become more proactive in helping to design efficient systems for monitoring, evaluation, and targeting of public health interventions. For example, data science approaches have been utilized to improve disease diagnosis from medical images as well as to examine the relationship between diseases, genetics, and the environment. This discussion session will be kicked off by Dr. Matthew Ferrari. He will describe his research on the evaluation of vaccination programs in countries with nascent surveillance programs. He will describe how he uses dynamical models to estimate disease burdens and target interventions in the absence of high-quality surveillance or well-designed monitoring and evaluation. Please attend this session if you are interested in learning more and discussing how data science is being and could be applied to public health efforts!

Discussion format

This discussion will be led by a panel of experts who will introduce themselves, briefly introduce the topic in general, and describe their research in this area. Following this introduction, we will open up the conversation to the audience to discuss their interest and/or experience in the area of data science in teaching and learning analytics as well as discuss the challenges and methodologies in this area.

Previous Meetings

View the talk titles and abstracts

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