A Quote by Alison Gopnik
Scientists learn about the world in three ways: They analyze statistical patterns in the data, they do experiments, and they learn from the data and ideas of other scientists. The recent studies show that children also learn in these ways.
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Scientists and philosophers tend to treat knowledge, imagination and love as if they were all very separate parts of human nature. But when it comes to children, all three are deeply entwined. Children learn the truth by imagining all the ways the world could be, and testing those possibilities.
Through yoga, meditation and other spiritual practices, we can learn the ways of personal equanimity. We can also learn how to use language in beneficial ways.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
Read for fun, read for information, read in order to understand yourself and other people with quite different ideas. Learn about the world beyond your door. Learn to be compassionate and grow in wisdom. Books can help us in all these ways.
Despite the value of open data, most labs make no systematic effort to share data with other scientists.
We know now data is so powerful, and you can learn so much about yourself and creating product with data.
The e-mails are mainly about a controversy over a particular data set and the ways a particular small group of scientists have displayed that dataset.
When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.
I have a perfect life where I read; I go out into the wilderness and camp. I meet scientists and learn about their studies of wild animals, and then I come home... and start creating the world I have seen.
People believe the best way to learn from the data is to have a hypothesis and then go check it, but the data is so complex that someone who is working with a data set will not know the most significant things to ask. That's a huge problem.
Any time scientists disagree, it's because we have insufficient data. Then we can agree on what kind of data to get; we get the data; and the data solves the problem. Either I'm right, or you're right, or we're both wrong. And we move on. That kind of conflict resolution does not exist in politics or religion.
When you learn to read and write, it opens up opportunities for you to learn so many other things. When you learn to read, you can then read to learn. And it's the same thing with coding. If you learn to code, you can code to learn. Now some of the things you can learn are sort of obvious. You learn more about how computers work.
Most executives, many scientists, and almost all business school graduates believe that if you analyze data, this will give you new ideas. Unfortunately, this belief is totally wrong. The mind can only see what it is prepared to see.
Chunking is the ability of the brain to learn from data you take in, without having to go back and access or think about all that data every time. As a kid learning how to ride a bike, for instance, you have to think about everything you're doing. You're brain is taking in all that data, and constantly putting it together, seeing patterns, and chunking them together at a higher level. So eventually, when you get on a bike, your brain doesn't have to think about how to ride a bike anymore. You've chunked bike riding.
For us scientists, on the other wing, life is not quite so simple. Because we learn the unknown. Unlike, hah-hah, our esteemed friends the philosophers, who learn the unknowable.
I don't mind children cribbing answers off other children. It's one of the ways they can learn. I also don't think there should be too many constraints on what they can look at on the Internet.
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