The Mystery Behind Large Graphs

Data Skeptic

المحتوى المقدم من Kyle Polich. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Kyle Polich أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

This Is Woman's Work with Nicole Kalil

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QUALIFIED: How Competency Checking and Race Collide at Work with Shari Dunn | 284 33:58

منذ 8 أيام33:58

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In this episode, we delve into the concept of being "qualified" in the workplace, examining who gets labeled as such, who doesn't, and the underlying reasons. We explore "competency checking"—the practice of scrutinizing individuals' abilities—and how it disproportionately affects underrepresented groups, often going unnoticed or unchallenged. Our discussion aims to redefine qualifications in a fair, equitable, and actionable manner. Our guest, Shari Dunn , is an accomplished journalist, former attorney, news anchor, CEO, university professor, and sought-after speaker. She has been recognized as Executive of the Year and a Woman of Influence, with her work appearing in Fortune Magazine, The Wall Street Journal, Ad Age, and more. Her new book, Qualified: How Competency Checking and Race Collide at Work , unpacks what it truly means to be deserving and capable—and why systemic barriers, not personal deficits, are often the real problem. Her insights challenge the narratives that hold so many of us back and offer practical solutions for building a more equitable future. Together, we can build workplaces and communities that don’t just reflect the world we live in, but the one we want to create. A world where being qualified is about recognizing the talent and potential that’s been overlooked for far too long. It’s not just about getting a seat at the table—it’s about building an entirely new table, one designed with space for all of us. Connect with Our Guest Shari Dunn Website& Book - Qualified: https://thesharidunn.com LI: https://www.linkedin.com/today/author/sharidunn TikTok: https://www.tiktok.com/@thesharidunn Related Podcast Episodes: How To Build Emotionally Mature Leaders with Dr. Christie Smith | 272 Holding It Together: Women As America's Safety Net with Jessica Calarco | 215 How To Defy Expectations with Dr. Sunita Sah | 271 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…

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Our guest in this episode is David Tench, a Grace Hopper postdoctoral fellow at Lawrence Berkeley National Labs, who specializes in scalable graph algorithms and compression techniques to tackle massive datasets.

In this episode, we will learn how his techniques enable real-time analysis of large datasets, such as particle tracking in physics experiments or social network analysis, by reducing storage requirements while preserving critical structural properties.

David also challenges the common belief that giant graphs are sparse by pointing to a potential bias: Maybe because of the challenges that exist in analyzing large dense graphs, we only see datasets of sparse graphs? The truth is out there…

David encourages you to reach out to him if you have a large scale graph application that you don't currently have the capacity to deal with using your current methods and your current hardware. He promises to "look for the hammer that might help you with your nail".

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#Datamining #Datascience #Machinelearning #Statistics #Kyle Polich #Data Science #Science #Math #Tech #Skeptic

Data Skeptic