Artwork

Content provided by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

[From the Archives] Ep 105: Dr. Kris Shaffer on Computational Musicology

33:01
 
Share
 

Manage episode 256259388 series 1110236
Content provided by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On this episode, Katie is joined by Kris Shaffer, Ph.D., a data scientist with a background in computational musicology. Kris currently works as an Instructional Technology Specialist and Adjunct Instructor of Computer Science at the University of Mary Washington. He also does freelance work in web and social-media intelligence, and serves as a volunteer researcher for Data for Democracy. He is a Contributing Editor and Board member for Hybrid Pedagogy and the lead author and editor of Open Music Theory: an open-source, interactive textbook for undergraduate music theory courses.

You can find him on the web at pushpullfork.com and github.com/kshaffer.

Would you like to incorporate this episode of “Research in Action” into your course? Download the Episode 105 Instructor Guide (.pdf) or visit our Podcast Instructor Guides page to find additional information.

Segment 1: Computational Musicology [00:00-10:42]

In this first segment, Kris discusses his background in computational musicology.

In this segment, the following resources are mentioned:

Segment 2: Open-source Software Development [10:43-20:50]

In segment two, Kris shares about his motivations for creating open-source software.

In this segment, the following resources are mentioned:

Segment 3: New Research Directions [20:51-33:30]

In segment three, Kris shares about his most recent work on hate speech.

In this segment, the following resources are mentioned:

Bonus Clip #1 [00:00-4:41]: The Relationship Between Mathematics and Music

To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast:

Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111

If you listen to the podcast via iTunes, please consider leaving us a review.

The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

  continue reading

413 episodes

Artwork
iconShare
 
Manage episode 256259388 series 1110236
Content provided by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mary Ellen Dello Stritto, Dr. Katie Linder, and Director of the Oregon State University Ecampus Research Unit or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On this episode, Katie is joined by Kris Shaffer, Ph.D., a data scientist with a background in computational musicology. Kris currently works as an Instructional Technology Specialist and Adjunct Instructor of Computer Science at the University of Mary Washington. He also does freelance work in web and social-media intelligence, and serves as a volunteer researcher for Data for Democracy. He is a Contributing Editor and Board member for Hybrid Pedagogy and the lead author and editor of Open Music Theory: an open-source, interactive textbook for undergraduate music theory courses.

You can find him on the web at pushpullfork.com and github.com/kshaffer.

Would you like to incorporate this episode of “Research in Action” into your course? Download the Episode 105 Instructor Guide (.pdf) or visit our Podcast Instructor Guides page to find additional information.

Segment 1: Computational Musicology [00:00-10:42]

In this first segment, Kris discusses his background in computational musicology.

In this segment, the following resources are mentioned:

Segment 2: Open-source Software Development [10:43-20:50]

In segment two, Kris shares about his motivations for creating open-source software.

In this segment, the following resources are mentioned:

Segment 3: New Research Directions [20:51-33:30]

In segment three, Kris shares about his most recent work on hate speech.

In this segment, the following resources are mentioned:

Bonus Clip #1 [00:00-4:41]: The Relationship Between Mathematics and Music

To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast:

Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111

If you listen to the podcast via iTunes, please consider leaving us a review.

The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

  continue reading

413 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide