Computer Science Could Learn A Lot From Library And Information Science

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Computer Science Could Learn A Lot From Library And Information Science
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There is much computer scientists can learn from the library and information science community. If they hurry, they might just be able to learn some of it before it all gives way to the data-driven wave crashing across academia.

Computer science curriculums have long emphasized the power of data, encouraging its harvesting and hoarding, pioneering new ways of mining and manipulating users through it, reinforcing it as the path to riches in the modern economy and proselytizing the idea of data being able to solve all of society’s ills.

In contrast, as a doctoral graduate student at the university’s library and information science program just a few blocks away, it was like entering an entirely new world. Even beyond the concepts of privacy and data, there is a vast world LIS programs can teach computer scientists about how to think about their users.

An understanding of the global evolution of how societies have generated, managed, consumed and utilized information throughout history and especially the ways in which societies across the world have differed in their approaches, can offer powerful guidance in the shaping of today’s informational systems.

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