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Results Oriented: Driving Social Change through Research and Data
Manage episode 444597877 series 3588154
Contenido proporcionado por Kenneth Edwards. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Kenneth Edwards o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Discover how data can be more than just numbers and charts—it's a catalyst for social change. Join us as we chat with Dr. M. William Bill Sermons, Vice President of Research at Volunteers of America, whose journey from a civically-engaged upbringing in Washington, D.C to pioneering data-driven social change is nothing short of inspiring. Bill shares how his mother's involvement in the March on Washington ignited a lifelong pursuit of equity and impact, emphasizing the importance of being results-oriented in data science to truly understand and reach the populations that matter.
Explore a fascinating case of how a health outcomes management project in D.C. used data to transform community health. By targeting individuals previously unengaged with the healthcare system through strategies like risk-tiering and neighborhood outreach, Bill discusses how data can illuminate paths to better health outcomes. He also delves into the challenges that come with aligning independent data with government standards and underscores the critical role open-government data plays in shaping policy decisions that affect communities.
AI is revolutionizing how we process data, but with great power comes great responsibility. Bill offers an enlightening perspective on teaching data analysis using R at Carnegie Mellon University and navigating the complexities brought on by AI advancements. While AI offers the potential for deeper analysis, Bill stresses the necessity for careful implementation and awareness of data's limitations. As we wrap up, he imparts the essential value of lifelong learning in the field of social services and advocacy, equipping us with insights to harness data for meaningful social change.
Capíttulos
1. Driving Social Change Through Data (00:00:00)
2. Analyzing Data for Social Change (00:04:52)
3. Navigating Challenges in Data Analysis (00:13:34)
4. Embracing AI in Social Advocacy (00:18:11)
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