Data Science - Imagining a Population Health Model for Student Success

Data Science Webinar Series - Ed Venit - Education Advisory Board Company - May 26 - 3:30pm - Rm 110

May 26, 2016 3:30 PM  to 
May 26, 2016 4:30 PM
NSF Room 110

Title: Imagining a Population Health Model for Student Success

Speaker: Ed Venit, Senior Director of the Education Advisory Board Company

Abstract:
Facing increased budget pressures, universities must learn how to scale their retention investments to reach more students and achieve better outcomes. Inspiration might be found in the health care industry, where hospitals face similar pressure to improve outcomes while controlling the rising costs of care.

The emerging strategy known as “population health management” (PHM) has improved ROI by using technology to assess patient risk and deliver degree and type of care tailored to each patient’s needs.  This presentation will introduce you to PHM principles, encourage discussion on how they might be applied to higher education, and share how some innovative universities are already shifting to PHM-like practices.

Bio:
Dr. Venit’s current research focuses on the use of data analytics to transform academic advising. By studying course completion patterns associated with success and failure, colleges and universities can work to remove unseen barriers to degree completion and proactively intervene with students who have fallen off path.

Previously, Dr. Venit led research to produce the national best practice report Hardwiring Student Success, the culmination of over 200 interviews with success practitioners and 20 months of research. This report profiled sixteen case studies from exemplar institutions investing in data-driven early warning strategies to identify students for proactive follow-up from support services.

To Join the Webinar:

Please register at:  https://nsf.webex.com/nsf/j.php?RGID=r047e0ca9d9250f0860c2fa30bd26c168


by 11:59pm EST on Wednesday May 25, 2016.

After your registration is accepted, you will receive an email with a URL to join the meeting. Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, your acceptance message will have a toll-free phone number that you will be prompted to call after joining. If you are international, please email kgeary@nsf.gov to obtain the appropriate dial in number.  Please note that this registration is a manual process; therefore, do not expect an immediate acceptance. In the event the number of requests exceeds the capacity, some requests may have to be denied.
 

This event is part of Webinars/Webcasts.

Meeting Type
Webcast

Contacts
Lida Beninson, (703) 292-9262, email: lidbenin@nsf.gov

NSF Related Organizations
Directorate for Computer and Information Science and Engineering

Public Attachments
Presentation
Audio File
Rough Transcript