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Elizabeth Barron

CHAOSS community manager.

Top 3 podcasts with Elizabeth Barron

Ranked by the Snipd community
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9 snips
Nov 28, 2024 • 49min

Episode 98: Community building - the role of culture in OSS project health

In this discussion, community experts Elizabeth Barron, Ibi Fiberesima, and Ana Jimenez delve into the essence of community culture in open-source projects. They define effective community management as building inclusive spaces that prioritize personal connections and diverse contributions. The trio emphasizes the significance of tailored onboarding processes and the need for recognizing motivations behind community participation. Insights on measuring community health and fostering a welcoming environment round out their enthusiastic conversation.
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4 snips
Dec 26, 2024 • 58min

Episode 100: Celebrating 100 episodes of CHAOSScast!

In this milestone discussion, guests Brian Proffitt, Senior Manager at Red Hat, and Elizabeth Barron, CHAOSS community manager, share insights on the evolution of CHAOSS and its influence on open-source sustainability. Open source strategist Georg Link reflects on the podcast's origins and mission. Ruth Ikegah, Community Lead for CHAOSS Africa, highlights inclusivity efforts. They tackle challenges in the software supply chain and stress the importance of community collaboration, governance, and the role of emerging leaders.
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Jul 25, 2024 • 32min

Episode 89: Practitioner Guides: #3 Organizational Participation

In this engaging discussion, Dawn Foster, an open source project engagement expert, Elizabeth Barron, who focuses on organizational participation, and Harmony Elendu, a CHAOSS metrics specialist, dive into the nuances of organizational involvement in open source. They explain how CHAOSS Practitioner Guides simplify complex metrics for project health. Key topics include the importance of diverse contributors, the challenges of measuring organizational influence, and the role of community managers in fostering thriving environments. Tools like Augur and Grimoire Lab are also highlighted as essential for effective data analysis.