Discussion (200words)

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Nora Bateson recently introduced the concept of "warm data" as a complement to big data ("cold data"). In contrast to cold data, warm data still values and maintains the complex relationships between different data points.

To prepare for today's discussion, I want you to:

· watch a short video on warm data: 

https://www.youtube.com/watch?v=f8tTax7ad9g&feature=emb_logo

· read an article on warm data:  https://hackernoon.com/warm-data-9f0fcd2a828c (Links to an external site.)  

· and explore the following website:  https://www.warmdatalab.net/warm-data (Links to an external site.)

Consider 2 questions from the list below and make one separate contribution for each of the 2 questions you select:

· In Nora Bateson's example about food, what could be concrete examples of warm data?

· How do you see warm data being used in the future in computer science?

· What are some of the challenges related to warm data?

· How does the topic of warm data relate to this course?

· What ethical problems related to technology/AI/big data could warm data solve?

· What questions would you like to ask Nora Bateson about warm data?