Libraries Lead!
Libraries Lead! is a provocative podcast about all things information & library hosted by Beth Patin (Assistant Professor, School of Information Studies, Syracuse U), Dave Lankes (Professor, iSchool, U of Texas), and Mike Eisenberg (Dean/Professor Emeritus, iSchool, U of Washington). Information age opportunities and challenges affect every aspect of human existence. We wrestle with such topics as social justice, political unrest, mis- and dis-information, kids, family and adult living; education and learning; work, employment, training and jobs; recreation, entertainment, and play; disasters & emergency preparedness with a focus on libraries & information science, services, and systems. 4 segments in approx. 1 hour: WAZZUP, AI WATCH, MAIN TOPIC, and AWESOME LIBRARY THINGY. For Resources & References for All Episodes please go to: https://tinyurl.com/libleadresources
Libraries Lead!
Episode 10: Data to the Rescue?
Episode 10: Data to the Rescue?
Sept 2021
Dave Lankes & Mike Eisenberg
We agree on something “data to protect you" is an oxymoron. Data can be dangerous–particularly in the hands of corporations, governments, hackers, scammers, & even well-intentioned non-profits, public service providers, and even libraries and librarians. Public libraries monitor patrons on social media to market services to better “meet needs.” School libraries create student Google profiles and capture user data. Academic libraries seek to address mental health issues identified through analysis of user data. We understand the well-meaning intentions to help. But do we really want anyone to be able to collect and aggregate all this data about anyone & everyone?
To make sense of the whole “data” thing, we are joined by Megan Oakleaf, Associate Professor, Syracuse University iSchool. Megan researches & teaches library value/impact, outcomes assessment, learning analytics, evidence-based decision making, information literacy instruction, and information services. She is also Director of Online Engagement. Learn with us about data use and misuse.
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