No need cite
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?
