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Making Newsrooms More Data Friendly | Stats + Stories Episode 201 (from the RSS 2021 Conference)

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内容由Stats + Stories and The Stats + Stories Team提供。所有播客内容(包括剧集、图形和播客描述)均由 Stats + Stories and The Stats + Stories Team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Newsrooms all over the world are embracing data journalism – looking for unique and thoughtful ways to use data to tell stories about their communities. But is every newsroom handling data as carefully as it should be? What safeguards are in place ensure journalists are using data in ethical ways? That’s the focus of this episode of Stats and Stories with guest Irineo Cabreros. Cabreros (@cabrerosic) is an associate statistician at the RAND Corporation. At RAND he has worked on projects in health care, education, fairness and equity, military personnel, substance use, incarceration, and insurance industries. He is a passionate science communicator who has written for Slate Magazine as an AAAS Mass Media Fellow. His research interests include causal inference, algorithmic equity, experimental design, survey sampling, high-dimensional statistics, latent variable modeling, and statistical genetics with his focuses areas including Labor Markets, Modeling and Simulation, Racial Equity and Survey Research Methodology among many others.
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Manage episode 302966073 series 2435975
内容由Stats + Stories and The Stats + Stories Team提供。所有播客内容(包括剧集、图形和播客描述)均由 Stats + Stories and The Stats + Stories Team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Newsrooms all over the world are embracing data journalism – looking for unique and thoughtful ways to use data to tell stories about their communities. But is every newsroom handling data as carefully as it should be? What safeguards are in place ensure journalists are using data in ethical ways? That’s the focus of this episode of Stats and Stories with guest Irineo Cabreros. Cabreros (@cabrerosic) is an associate statistician at the RAND Corporation. At RAND he has worked on projects in health care, education, fairness and equity, military personnel, substance use, incarceration, and insurance industries. He is a passionate science communicator who has written for Slate Magazine as an AAAS Mass Media Fellow. His research interests include causal inference, algorithmic equity, experimental design, survey sampling, high-dimensional statistics, latent variable modeling, and statistical genetics with his focuses areas including Labor Markets, Modeling and Simulation, Racial Equity and Survey Research Methodology among many others.
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