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Seven Ways That Data Science Projects Fail

The pragmatic value of data science for solving business problems has made it a rival or replacement for information science from an industry perspective. I reviewed numerous data science projects and interviewed numerous data science experts to understand the factors that make projects successful, but this work also revealed—by counterfactual reasoning and some confessions from the experts—why some data science projects fail. I identified seven causes of failure and I explain here how “information science thinking” can prevent or lessen these problems in data science projects.

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Open AI, ChatGPT: To Be, or Not to Be, That Is the Question

Some consider ChatGPT smarter than humans, some call it destructive technology, and others consider it a great helper for writing scientific and research studies. The world of artificial intelligence shows that it is very exciting and that this technology can help humans at a very high level in any field, a subject that was considered science fiction in the past decades. But now it is a part of reality.

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The Transformative Capacity of Leisurely Information

To what extent can accessing desired information transform our views, shape our behavior, or influence our wellbeing? What does occur in our mind when we find the information we need? Building upon these questions, what emotions arise in our consciousness when we encounter unexpected or conflicting information? How do these emotions impact our information behavior patterns and the way we evaluate or interpret information?

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The Photo Exhibition: A visual exploration of information in our shared lives with companion animals

The Information Experience of Furry Families exhibition was held at the Victoria University of Wellington (VUW), New Zealand, on April 20-21, 2023. The exhibition featured a series of photographs and photo voices made by animal guardians across New Zealand to highlight the information that shapes understanding between the dog, cat, and their humans.

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