
What is Data Science?
Harvard Data Science Review Podcast
Rethinking Data Science Education and Integrity
This chapter examines the role of traditional academia in the evolving landscape of data science, questioning the adequacy of current curricula. It highlights the importance of students engaging with educational programs to address inherent biases and challenges in data interpretation, especially in light of misinformation. The speakers emphasize the need for scientific rigor, transparency, and critical thinking to navigate the complexities of data usage and regain public trust in science.
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