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  1. 5 days ago · Jun 03 2024. Chris Wiggins, associate professor of applied mathematics and systems biology at Columbia University and chief data scientist at The New York Times, presented a Distinguished Lecturer Seminar at Northeastern University on "How Data Happened: A History from the Age of Reason to the Age of AI." Wiggins also gave the keynote address ...

  2. 5 days ago · The declared aim of Chris Wiggins and Matthew Jones – the first a Columbia University professor of applied mathematics and chief data scientist for the New York Times, and the second a historian of science and technology at Princeton – is to provide ‘an actionable understanding’ (p. xiii) of the history of the role of data in ...

  3. 4 days ago · How Data Happened: a History from the Age of Reason to the Age of Algorithms by Chris Wiggins and Matthew L. Jones.

  4. 5 days ago · Leveraging Data Science for Global Health by Leo Anthony Celi, Maimuna Majumder, Patricia Ordonez, Juan Sebastian Osorio, Kenneth Paik, Melek Somai; Data and Society: a Critical Introduction by Anne Beaulieu and Sabina Leonelli; How Data Happened: a History from the Age of Reason to the Age of Algorithms by Chris Wiggins and Matthew Jones

  5. 3 days ago · Storytelling with Charts - the Full Story: The Ultimate Playbook to Master the Art and Science of Captivating Audiences by Telling Stories with Data and Framework Charts. Wroclaw, Poland: SCAS Inc. Spector, Alfred Z., Peter Norvig, Chris Wiggins, and Jeannette M. Wing. 2023. Data Science in Context: Foundations, Challenges, Opportunities ...

  6. 5 days ago · Understand how big data is used to identify the causes of socioeconomic disparities and how data can lead to evidence-based action and outcomes; Explore economic methodologies, such as statistical models, regression analysis, and quasi-experiments in data set combinations

  7. 5 days ago · The fields of design, argument studies, critical thinking, national intelligence, problem-solving heuristics, education theory, program evaluation, various parts of the humanities—each of them have insights that data science can learn from. Data science is already a field of bricolage. Swaths of engineering, statistics, machine learning, and ...

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