Applications of social data science to environmental communication on social media by Sanford, M

Smarter Data Science : Succeeding with Enterprise-Grade Data and AI Projects / by Fishman, Neal, author 636924, Stryker, Cole, author 636925, Booch, Grady, editor 463085

“…Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. …”

Exploring the roles of AI-Assisted ChatGPT in the field of data science by Valli Latha Narayanan, Sujatha N., Mech Mukul, V.S. Lokesh

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Data Science and Engineering With Human in the Loop, Behind the Loop, and Above the Loop by Xiao-Li Meng

“…Harvard Data Science Review…”
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RNA-seq data science: From raw data to effective interpretation by Dhrithi Deshpande, Karishma Chhugani, Yutong Chang, Aaron Karlsberg, Caitlin Loeffler, Jinyang Zhang, Agata Muszyńska, Agata Muszyńska, Viorel Munteanu, Harry Yang, Jeremy Rotman, Laura Tao, Brunilda Balliu, Elizabeth Tseng, Eleazar Eskin, Eleazar Eskin, Eleazar Eskin, Fangqing Zhao, Fangqing Zhao, Pejman Mohammadi, Paweł P. Łabaj, Paweł P. Łabaj, Serghei Mangul, Serghei Mangul

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Promoting and Enabling Reproducible Data Science Through a Reproducibility Challenge by Jing Liu, Jacob Carlson, Josh Pasek, Brian Puchala, Arvind Rao, H. V. Jagadish

“…Harvard Data Science Review…”
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The role of Big Data and Data Science in the context of information security and cybersecurity by Dariusz Prokopowicz, Anna Gołębiowska, Małgorzata Such-Pyrgiel

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Data Science on Industrial Data—Today’s Challenges in Brown Field Applications by Tilman Klaeger, Sebastian Gottschall, Lukas Oehm

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Intersectional approaches to data: The importance of an articulation mindset for intersectional data science by Caitlin Bentley, Chisenga Muyoya, Sara Vannini, Susan Oman, Andrea Jimenez

“…We suggest ways in which intersectional data science could adopt an articulation mindset to improve on this tendency.…”
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Surgical Sabermetrics: Applying Athletics Data Science to Enhance Operative Performance by Steven Yule, PhD, Allison Janda, MD, Donald S. Likosky, PhD

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Looking Back to the Future: A Glimpse at Twenty Years of Data Science by Lili Zhang

Subjects: “…data science…”
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Embedding data science innovations in organizations: a new workflow approach by Keyao Li, Mark A. Griffin, Tamryn Barker, Zane Prickett, Melinda R. Hodkiewicz, Jess Kozman, Peta Chirgwin

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Data Science Supporting Lean Production: Evidence from Manufacturing Companies by Rossella Pozzi, Violetta Giada Cannas, Tommaso Rossi

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Google's Project Nightingale highlights the necessity of data science ethics review by Christophe Olivier Schneble, Bernice Simone Elger, David Martin Shaw

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Big Earth Data science: an information framework for a sustainable planet by Huadong Guo, Stefano Nativi, Dong Liang, Max Craglia, Lizhe Wang, Sven Schade, Christina Corban, Guojin He, Martino Pesaresi, Jianhui Li, Zeeshan Shirazi, Jie Liu, Alessandro Annoni

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Pemanfaatan Data Science dalam Meningkatkan Kualitas Pembinaan SDM Militer by Dhanang Ghofur Nugroho, Firman Johan, Mufidin Mufidin

Subjects: “…Data Science…”
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Complexity analysis of sustainable peace: mathematical models and data science measurements by L S Liebovitch, P T Coleman, A Bechhofer, C Colon, J Donahue, C Eisenbach, L Guzmán-Vargas, D Jacobs, A Khan, C Li, D Maksumov, J Mucia, M Persaud, M Salimi, L Schweiger, Q Wang

“…We then used that mathematical model to determine the attractors in the system, the dynamics of the approach to those attractors, and the factors and connections that play the most important role in determining the final state of the system. We used data science (‘big data’) methods to measure quantitative values of the peace factors from structured and unstructured (social media) data. …”
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Training Interdisciplinary Data Science Collaborators: A Comparative Case Study by Jessica L. Alzen, Ilana M. Trumble, Kimberly J. Cho, Eric A. Vance

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The Growing Importance of Reproducibility and Responsible Workflow in the Data Science and Statistics Curriculum by Nicholas J. Horton, Rohan Alexander, Micaela Parker, Aneta Piekut, Colin Rundel

“…Journal of Statistics and Data Science Education…”
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Development of a Job Advertisement Analysis for Assessing Data Science Competencies by Jan Vogt, Thilo Voigt, Annika Nowak, Jan M. Pawlowski

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