Podcast thumbnail for Information Ecosystems

Information Ecosystems

Claim This Podcast

by The University of Pittsburgh

5.0(8 reviews)
34 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Overview

The InfoEco project seeks to advance a deeply powerful understanding of where data comes from and how it is used, setting the present moment within a century-long history of information supply and its power-laden consequences. At a moment when societies are in urgent need of guidance to navigate rapidly shifting digital terrain, we are coming together to build a deep understanding of the social and political life of data. In the 2022-2023 Academic Year, we are proud to present a series of podcasts documenting the Data Science 4 Social Justice (DS4SJ) project here at the University of Pittsburgh. One of Pitt's goals is to leverage knowledge—through teaching, research, and community service—for society's gain. The dominance of the digital sphere, the upheaval of civic life, and the role of technology in accelerating systemic inequality create an unprecedented opportunity to apply "use-driven data science" for social impact. This year, we will hear from numerous members of this project, from Pitt and beyond, about the ways that data science can facilitate a more equitable society.

Language

🇺🇲

Publishing Since

11/22/2019

1 verified contact email on file for Information Ecosystems

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for Episode 5: What Have We Learned with DS4SJ?

May 8, 2023

Episode 5: What Have We Learned with DS4SJ?

<p>Welcome to the fifth and final episode of the third season of the Information Ecosystem podcast, hosted by Grace DeLallo and created in affiliation with the University of Pittsburgh.</p> <p>This episode, “What Have We Learned,” looks at the projects the cohort undertook in this project structure and some of the takeaways, including lessons learned. We look at building ethical relationships, leaving room for transparency, integrating community projects into student work and look at what we can gain through collaboration — all culminating into an outlook for this project and begin to imagine what more we can accomplish with more support and funding.</p> <p><a href= "https://docs.google.com/document/d/1YV726LG0MiQxHzdJQJRu9UmwCjg6FPpgG3G0mSR2YmY/edit?usp=sharing" target="_blank" rel="noopener">Please follow this link for a transcript of this episode</a>.</p> <p>Thank you to Alison Langmead for supporting this podcast and the DS4SJ PI Sera Linardi for her work in making all of these projects possible.</p>

Episode thumbnail for Episode 4: Data Ethics with Dr. Katie Shilton

April 10, 2023

Episode 4: Data Ethics with Dr. Katie Shilton

<p>Welcome to the fourth episode of the third season of the Information Ecosystems podcast, hosted by Grace DeLallo and created in affiliation with the University of Pittsburgh. This episode, “Data Ethics with Dr. Katie Shilton,” looks at the implications of data collection and research, and how that process can be more ethical, inspired by a talk Dr. Shilton delivered at the University in December of 2022. The DS4SJ project prioritizes faculty, student, and community relationships, so matching the impact with the intent of projects involving data and research is crucial for empowering communities in the way this framework strives to.</p> <p><a href= "https://docs.google.com/document/d/1hk8Fed28OmzFg1jDgSyFOg9Q0QfClcRN3kkgpoDNebY/edit?usp=sharing" target="_blank" rel="noopener">Please follow this link for a transcript of this episode</a>.</p> <p>This episode was hosted and produced by Grace DeLallo, a senior undergraduate student pursuing a Writing major and Political Science minor at the University of Pittsburgh.  </p> <p>Thank you to Dr. Shilton for participating in this episode.</p>

Episode thumbnail for Episode 3: Outside of the Silo

February 21, 2023

Episode 3: Outside of the Silo

<p>Welcome to the third episode of the third season of the Information Ecosystems podcast, hosted by Grace DeLallo and created in affiliation with the University of Pittsburgh. This episode, “Outside of the Silo,” looks at the interdisciplinary mentoring that can lead to student and community-facing project success. The new Spring 2023 cohort was informally introduced, since the DS4SJ project is expanding to meet the demands of implementing an institutionalized framework and continuing ethical community work.</p> <p><a href= "https://docs.google.com/document/d/1XDcXdnnyC6ACF1CMb6OwTt6TTXCwFXxOziXFknQ_ihw/edit?usp=sharing"> Please follow this link for a transcript of this episode</a>.</p> <p>This episode was hosted and produced by Grace DeLallo, a senior undergraduate student pursuing a Writing major and Political Science minor at the University of Pittsburgh.  </p> <p>Thank you to Brett Say, Emmaline Rial, and Piper Nandorf for agreeing to participate in this episode.</p>

34 total episodes available

Deep-dive analytics for Information Ecosystems

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Information Ecosystems?

The InfoEco project seeks to advance a deeply powerful understanding of where data comes from and how it is used, setting the present moment within a century-long history of information supply and its power-laden consequences. At a moment when societies are in urgent need of guidance to navigate rapidly shifting digital terrain, we are coming together to build a deep understanding of the social and political life of data.

In the 2022-2023 Academic Year, we are proud to present a series of podcasts documenting the Data Science 4 Social Justice (DS4SJ) project here at the University of Pittsburgh. One of Pitt's goals is to leverage knowledge—through teaching, research, and community service—for society's gain. The dominance of the digital sphere, the upheaval of civic life, and the role of technology in accelerating systemic inequality create an unprecedented opportunity to apply "use-driven data science" for social impact. This year, we will hear from numerous members of this project, from Pitt and beyond, about the ways that data science can facilitate a more equitable society.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.