A Quote by Robert Nozick

I think philosophers can do things akin to theoretical scientists, in that, having read about empirical data, they too can think of what hypotheses and theories might account for that data. So there's a continuity between philosophy and science in that way.
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.
Philosophers of science have repeatedly demonstrated that more than one theoretical construction can always be placed upon a given collection of data.
If moral statements are about something, then the universe is not quite as science suggests it is, since physical theories, having said nothing about God, say nothing about right or wrong, good or bad. To admit this would force philosophers to confront the possibility that the physical sciences offer a grossly inadequate view of reality. And since philosophers very much wish to think of themselves as scientists, this would offer them an unattractive choice between changing their allegiances or accepting their irrelevance.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
The whole point of building theoretical systems is to explain what humans know by pre-theoretical experience. That is the starting point for any philosophy. That is the data it seeks to explain. If it fails to explain the data of experience, then it has failed the test. It has been falsified.
The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.
When I think about discussions at the Society for Philosophy and Psychology, a group which includes not only philosophers and psychologists, but also computer scientists and linguists, it is noteworthy that one can't always tell just from the content of particular contributions from the audience, whether a given questioner is a philosopher or an empirical scientist.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
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.
It's not just that there is a cooperative spirit of investigation there, where we all recognise that we are engaged in a common project of inquiry. It's also that the philosophers are well-versed in the relevant empirical data, and the scientists are well-versed in the more abstract issues which are typically the central focus of philosophical work.
Data science requires having that cultural space to experiment and work on things that might fail.
I think that whatever we encounter in life, we want to encourage a balance between the mind and the soul...and that is to consider about 50% data from the mind and 50% data from the soul. This is what Buddhists call, "the middle way."
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.
There is so much information that our ability to focus on any piece of it is interrupted by other information, so that we bathe in information but hardly absorb or analyse it. Data are interrupted by other data before we've thought about the first round, and contemplating three streams of data at once may be a way to think about none of them.
I think our science is a marvelous tool. Of course it has its politics, its failings, its mistakes, like all other human endeavors, but I think the methodology of our science - using it to postulate and to use the proper approach of creating falsifiable hypotheses and then testing them to see if they ring true, and then progressing by finding the anomalies to our theoretical structure, and then improving our theoretical structure to take care and test the anomalies - is the way to go, because that helps us discover what the universe.is all about and our relationship to it.
Scientists who think science consists of unprejudiced data-gathering without speculation are merely cows grazing on the pasture of knowledge.
This site uses cookies to ensure you get the best experience. More info...
Got it!