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Stanford Storytelling Project Podcasts

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Soundings

soundings

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Soundings is the sandbox for all student work from the Stanford Storytelling Project (SSP). SSP is an arts program at Stanford University that explores how we live in and through stories and how we can use them to change our lives. Our mission is to promote the transformative nature of traditional and modern oral storytelling, from Lakota tales to Radiolab, and empower students to create and perform their own stories. The project sponsors courses, workshops, live events, and grants, along wi ...
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Braden Storytelling Grant

Stanford Storytelling project

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Each year, the Stanford Storytelling Project awards Braden Grants to a small number of students to support the research, writing, and production of audio documentaries. The aim of the program is to help students learn how to tell powerful, research-driven stories based on testimony they gather through interviews, research, or oral history archives. Grantees receive up to $2,500, as well as teaching, training, and mentorship during the period of the grant (March-December). In January of each ...
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DataFramed

DataCamp

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Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organizat ...
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State of the Human

Stanford Storytelling Project

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State of the Human, a podcast of the Stanford Storytelling Project, shares stories that deepen our understanding of single, common human experiences—belonging, giving, lying, forgiveness—all drawn from the experiences and research of the Stanford community.
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Most mainstream models of work are not sustainable and often waste a great deal of human potential. Grateful for the privilege of receiving a PhD education studying the sociology and psychology of work at Stanford University, Carol Xu would like to give something back to society. Drawing from the fields of organizational behavior, sociology and psychology of work, and design thinking, she curates a broad spectrum of the human experience of work, from work burnout and depression to pursuing o ...
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show series
 
Data literacy and AI literacy are becoming essential skills in today's digital landscape. As organizations collect more data and deploy AI solutions, the ability to understand, interpret, and make decisions with these tools is increasingly valuable. But how do we develop these skills effectively across an organization? What does successful implemen…
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The relationship between AI assistants and data professionals is evolving rapidly, creating both opportunities and challenges. These tools can supercharge workflows by generating SQL, assisting with exploratory analysis, and connecting directly to databases—but they're far from perfect. How do you maintain the right balance between leveraging AI ca…
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Financial institutions are racing to harness the power of AI, but the path to implementation is filled with challenges. From feature engineering to model deployment, the technical complexities of AI adoption in finance require careful navigation of both technological and regulatory landscapes. How do you build AI systems that satisfy strict complia…
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The manufacturing floor is undergoing a technological revolution with industrial AI at its center. From predictive maintenance to quality control, AI is transforming how products are designed, produced, and maintained. But implementing these technologies isn't just about installing sensors and software—it's about empowering your workforce to embrac…
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The line between human work and AI capabilities is blurring in today's business environment. AI agents are now handling autonomous tasks across customer support, data management, and sales prospecting with increasing sophistication. But how do you effectively integrate these agents into your existing workflows? What's the right approach to training…
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The modern workplace often glorifies constant productivity and hustle culture, but at what cost? More professionals are burning out earlier in their careers, while elite athletes are extending their peak performance years. What can business leaders learn from high-performance sports about energy management and sustainable success? How do you distin…
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Welcome to DataFramed Industry Roundups! In this series of episodes, we sit down to discuss the latest and greatest in data & AI. In this episode, with special guest, DataCamp Editor Alex, we touch upon the launch of GPT-5, scaling limits in AI, Meta’s leaked chatbot guidelines, trust in AI tools from the Stack Overflow survey, why OpenAI and Anthr…
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Every day, knowledge workers face the challenge of managing competing priorities and constant interruptions. When systems are managing us rather than us managing them, productivity suffers and morale plummets. But what if the key to improvement isn't complex reorganization but rather understanding how work actually flows through your team or organi…
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Combining LLMs with enterprise knowledge bases is creating powerful new agents that can transform business operations. These systems are dramatically improving on traditional chatbots by understanding context, following conversations naturally, and accessing up-to-date information. But how do you effectively manage the knowledge that powers these a…
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The relationship between AI and data professionals is evolving rapidly, creating both opportunities and challenges. As companies embrace AI-first strategies and experiment with AI agents, the skills needed to thrive in data roles are fundamentally changing. Is coding knowledge still essential when AI can generate code for you? How important is doma…
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Data science continues to evolve in the age of AI, but is it still the 'sexiest job of the 21st century'? While generative AI has transformed the landscape, it hasn't replaced data scientists—instead, it's created more demand for their skills. Data professionals now incorporate AI into their workflows to boost efficiency, analyze data faster, and c…
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The structured data that powers business decisions is more complex than the sequences processed by traditional AI models. Enterprise databases with their interconnected tables of customers, products, and transactions form intricate graphs that contain valuable predictive signals. But how can we effectively extract insights from these complex relati…
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Healthcare AI is rapidly evolving beyond simple diagnostic tools to comprehensive systems that can analyze and predict patient outcomes. With the rise of multimodal AI models that can process everything from medical images to patient records and genetic information, we're entering an era where AI could fundamentally transform how healthcare decisio…
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The relationship between humans and AI in the workplace is rapidly evolving beyond simple automation. As companies deploy thousands of AI agents to handle everything from expense approvals to customer success management, a new paradigm is emerging—one where humans become orchestrators rather than operators. But how do you determine which processes …
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Business intelligence has been transforming organizations for decades, yet many companies still struggle with widespread adoption. With less than 40% of employees in most organizations having access to BI tools, there's a significant 'information underclass' making decisions without data-driven insights. How can businesses bridge this gap and achie…
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Technology and human consciousness are converging in ways that challenge our fundamental understanding of creativity and connection. As AI systems become increasingly sophisticated at mimicking human thought patterns, we're entering uncharted territory where machines don't just assist creative work—they actively participate in it. But what does thi…
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Welcome to DataFramed Industry Roundups! In this series of episodes, we sit down to discuss the latest and greatest in data & AI. In this episode, with special guest, DataCamp COO Martijn, we touch upon the hype and reality of AI agents in business, the McKinsey vs. Ethan Mollick debate on simple vs. complex agents, Meta's $15B stake in Scale AI an…
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The enterprise adoption of AI agents is accelerating, but significant challenges remain in making them truly reliable and effective. While coding assistants and customer service agents are already delivering value, more complex document-based workflows require sophisticated architectures and data processing capabilities. How do you design agent sys…
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Through the two possible journeys of an Aloha Shirt, Tead Count tells the story of the true cost of fast fashion. Music from Blue Dot Sessions. Interviewees: Barchi Gillai, Associate Director Value Chain Innovation Initiative, https://www.gsb.stanford.edu/faculty-research/labs-initiatives/vcii Lila Temple, Stanford FashionX, https://www.stanfordfas…
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I Speak for the Trees is a podcast that explores the consequences of land use change. Join us as we investigate the parallels between The Lorax and the real world in order to address the issue of sustainable land use change. From local land clearing in Wisconsin, restoration of overgrazed ranchland in Texas, to green space implementation in Chicago…
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"Reimagining the Road Ahead" delves into the concept of car-free days, especially their implementation in Bogotá and Paris, the political and practical challenges to their widespread adoption, and the broader push to re-imagine urban spaces with fewer cars. Interviews: Enrique Peñalosa is a Colombian politician and urban strategist who served as ma…
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The United Nations have called climate change the challenge of our generation. A growing body of environmental storytelling is bringing clarity to complicated climate conversations by casting a vision for a better future, and providing compelling, actionable climate change solutions. In this course, students have the opportunity to contribute to th…
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The line between generic AI capabilities and truly transformative business applications often comes down to one thing: your data. While foundation models provide impressive general intelligence, they lack the specialized knowledge needed for domain-specific tasks that drive real business value. But how do you effectively bridge this gap? What's the…
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The modern data stack has transformed how organizations work with data, but are our BI tools keeping pace with these changes? As data schemas become increasingly fluid and analysis needs range from quick explorations to production-grade reporting, traditional approaches are being challenged. How can we create analytics experiences that accommodate …
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Retrieval Augmented Generation (RAG) continues to be a foundational approach in AI despite claims of its demise. While some marketing narratives suggest RAG is being replaced by fine-tuning or long context windows, these technologies are actually complementary rather than competitive. But how do you build a truly effective RAG system that delivers …
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As an added bonus to our Invisibility series, we’re including conversations with the creators who made them to give you a behind-the-scenes look at the craft of audio storytelling. In this episode, Alex Strong talks with Langston Buddenhagen, the creator of New Flowers, the first story in our Invisibility series.…
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We all know what it's like to sense something unspoken in a conversation—the hesitation, the sharpness, the softness. It's not the words, but how they're said. This episode, we explore the invisible language of emotional prosody—the tone, rhythm, and subtle cues in our voices that reveal how we feel, often without us realizing it.…
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GPU acceleration is transforming how data scientists tackle computationally intensive problems in the AI and materials science fields. When dealing with billions of potential molecular combinations or massive datasets requiring dimensionality reduction, traditional CPU approaches often become prohibitively slow and expensive. How can data professio…
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AI maturity isn't achieved through technology alone—it requires organizational alignment, cultural readiness, and strategic implementation. Companies across industries are working to move beyond experimental AI use toward systematic integration that delivers measurable business value. How do you assess where your organization stands on the AI matur…
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AI tooling continues to expand with specialized solutions for every step of the development process. For data scientists and engineers, this creates a paradox: more options but potentially more complexity and integration challenges. How do you determine which tools actually improve productivity versus adding unnecessary overhead? Should you priorit…
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