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Applied Data Science: Data Translators Across the Disciplines
This collection of writings examines the crucial role of data translators in various fields, emphasizing the need to bridge the gap between data science and domain-specific knowledge. Several chapters explore practical applications of data translation across disciplines like astronomy, public health, business, linguistics, and even video game analytics, highlighting the unique challenges and methodologies in each area. The volume also addresses pedagogical strategies for training effective data translators, advocating for interdisciplinary approaches, knowledge exchange frameworks, and language calibration in educational settings. Furthermore, it investigates the communication of data-driven insights to diverse audiences, including policymakers and the public, and considers the rhetorical and ethical dimensions of this process. Ultimately, the work underscores the growing importance of individuals who can interpret and communicate data effectively to drive understanding and informed decision-making in an increasingly data-rich world.
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Published on 1 month, 1 week ago