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The San Francisco Bay Area Chapter held its holiday celebration at San Jose State University. Keynote speakers James Zou, Jian Dai, and Viji Krishnamurthy—along with panelist Haiyan Huang—shared their insights into the transformative effect of large language models such as ChatGPT.
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Elinor Jones, Lucia Barbone, and Kelly H. Zou discussed their experiences as women collaborating with researchers and stakeholders during an hour-long panel as part of the International Day for Women in Statistics and Data Science celebration on October 10, 2023.
Additional Features, Journal of Statistics and Data Science Education Highlights »
The January issue of JSDSE leads with a paper that recounts the difficult past of statistics, notably the role of eugenics in the development of the field. The author argues we must confront our history to move forward and provides guidance for addressing the troubling history in the classroom.
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The International Conference on Data Science aimed to provide an overview of state-of-the-art research in statistical learning and data science, add diverse voices to the global debate in this area, and enrich the interdisciplinary dialogue between theory and application.
Additional Features, Journal of Statistics and Data Science Education Highlights »
The November issue of the open-access Journal of Statistics and Data Science Education leads with a set of three papers related to design of experiments.
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This fall’s release of the 2022 degree completion data from the National Center for Education Statistics is marked by the large increases in the undergraduate and master’s degrees awarded in the recently introduced categories for data analytics and data science. The number of bachelor’s degrees in data science, for example, jumped to 897 in 2022, from 165 in 2021 and 84 in 2020. For bachelor’s degrees in data analytics, the 2020, 2021, and 2022 numbers are 325, 455, and 767, respectively.
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Panelists from industry offer advice at the Chinese Statistical Association’s 2023 Statistics Symposium.
Member News, People News »
Shara will provide the strategic vision for growing the health system’s AI research programs, continue to build a sustainable sponsored research portfolio, identify emerging trends in data science research and technology, and foster a culture of innovation that supports new data science ideas and applications.