SDS 567: Open-Access Publishing

In this episode, the MIT Press Director and Publisher, Dr. Amy Brand, joins Jon Krohn to discuss open-access publishing in data science and how to address the inequalities that exist for women and minorities in STEM. In this episode you will learn: • What it’s like to run the prestigious MIT Press [4:34] • How open access makes scholarly work more impactful [6:34] • How publishing outstanding STEM books for broader audiences, including for children, can help address STEM biases [19:28] • Amy's award-winning documentary Picture A Scientist [25:28] • What it's like to executive produce a documentary [37:24] • What can be done to change STEM to make it more welcoming to minorities [48:44] • The best open-source model going forward [58:26] • What fascinates Amy about natural language processing [1:01:30] • How author metadata in standardized taxonomies can help authors receive the credit they deserve [1:04:50] Additional materials: www.superdatascience.com/567

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.