Revamping Student Education with Real-World Data€¦ · •Modern real-world problems are great...
Transcript of Revamping Student Education with Real-World Data€¦ · •Modern real-world problems are great...
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Revamping Student Education with Real-World Data
Prof. Brian D. Davison
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IBM Predicts Demand For Data Scientists Will Soar 28% By 2020MAY 13, 2017
January 2016
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• MS degrees in data science…
• BS degrees…
• Every semester I teach a
popular Introduction to Data
Science course to students
from any discipline
• In all of these environments, students need to apply methods to
data sets to learn, gain experience, and test intuitions
Universities are educating more and more data-savvy students
Image Credit: NASA/Ames/JPL-Caltech
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…
One machine learning training website says:
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• Improve student education!• Modern real-world problems are great motivators for students
• Help them understand complex and dirty real-world data
• Educate students about your data science problems• Industry needs are often different from academic research
• They will know what you care about, and can jump in when hired
• Increase visibility to students• Your brand becomes part of otherwise inaccessible conversations
• Indirectly educate students about your organization and needs• The best data science requires an understanding of the domain
Why share real-world data with students?
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• A student working on your data might find a startlingly good solution
You might also get lucky
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• Your organization already has all the answers and staff it needs
• There is already lots of data out there• True! And it is growing! But process data is still pretty rare.
• Your competitor might learn something from your data• Not all data needs to expose intellectual property (e.g., pump runs)
• Concerns about privacy
Why not share data?
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Privacy concerns are real
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• Publicly through competitions
• Publicly via your website
• Publicly via data repositories or network
• Privately with a usage license
• E.g., only educational or non-profit use
• Perhaps with a data broker to enforce
• Privately with an non-disclosure agreement
How to share data?
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• Don’t just share data on the web (although that's a start)!
• Provide background into your industry, your organizational goals, and the problem domain
• Provide support for the data• Answer questions about the data and what kinds of analysis is valued
• Connect with the faculty
• Visit classes – either in person or via teleconference
• Sponsor (existing) hackathons that might use your data
If you really want to impact students…
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• How was the data generated or collected?• What do the data mean (i.e., how to interpret)?
• What kinds of errors are likely to be present?• What are the sources of noise in the data sources or labels?
• What does missing data mean?
• What level of precision is important?
• What aspects of the data are already known (or believed) to be predictive of the desired target?
• What kinds of solutions are valuable to the organization?
Understanding the domain is essential
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A peek into my Thursday morning presentation:Introduction to Time-Series Analysis with PI System and R
Image source: Wikipedia
Fermentation data was shared through and obtained from the OSIsoft Academic Community Service.
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HOWCHALLENGE ADVANTAGES
COMPANY and GOAL
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Sharing Data – Why and How?
Should organizations share data to help educate students?
Sharing data can impact students and benefit your organization
Many options for sharing are available
• Modern problems motivate students
• Students learn about issues and processes that you care about
• New venues to expose your brand
• PI data can be shared via OSIsoft
Academic Community Service
• Share other data via data brokers,
repositories, and web sites
• Concerns about exposing IP
• Concerns about privacy
• Already lots of data being shared
Lehigh University (Bethlehem, PA) is considered one of the hidden ivies. Mission statement: To advance learning through the integration of teaching, research, and service to others.
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Contact Information
Brian D. [email protected]
Associate Prof., Lehigh University
Feel free to share your data with me!
Lehigh University's Linderman Library
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Thank You
Merci
Grazie
Danke
Gracias