![Large group of students and atteendees watching Stephen Goldsmith speaking in front of an audience](/sites/g/files/omnuum10826/files/styles/hwp_21_9__1920x825/public/datasmart/files/bcc_event_picture.jpg?itok=m6c-W7ii) # Exclusive: Collaborating Across Sectors in Cities Episode Fifty January 24, 2024 [ Betsy Gardner ](/betsy-gardner) - January 24, 2024 - [City Administration](/city-administration) In this episode hear an exclusive conversation, moderated by host Stephen Goldsmith, with Chao Guo, professor of nonprofit management at the University of Pennsylvania and G.T. Bynum, mayor of Tulsa, Oklahoma as they discuss how city leaders can work across sectoral boundaries to improve outcomes for residents. Professor Guo presents scholarly research on cross-sector collaborations and Mayor Bynum shars real-world lessons in regards to forming partnerships, using data, and breaking down historic lines of division. Listen below, or wherever you get your podcasts, to learn more. [Transcript available here](https://data-smart-city-pod.simplecast.com/episodes/exclusive-collaborating-across-sectors-cities/transcript). Embed ## About the Author ### Betsy Gardner ![Headshot of Betsy Gardner](/sites/g/files/omnuum10826/files/styles/hwp_1_1__100x100_scale/public/2025-05/Betsy%20Headshot%20resize.jpg?itok=k2OsSp1g) Betsy Gardner is the editor of Data-Smart City Solutions and the producer of the Data-Smart City Pod. Prior to this, Betsy worked in a variety of roles in higher education, focusing on deconstructing racial and gender inequality through research, writing, and facilitation. She also researched government spending and transparency at the Lincoln Institute of Land Policy. Betsy holds a master’s degree in Urban and Regional Policy from Northeastern University, a bachelor’s degree in Art History from Boston University, and a graduate certificate in Digital Storytelling from the Harvard Extension School. See also:- [ City Administration ](/topics/city-administration) Share on:- [ Facebook ](#) - [ Twitter ](#) - [ Linkedin ](#)