Knowledge Generation Quotes

If you look at where innovation - defined as ideas, not as commercial product - tends to live, the university system is remarkably innovative.

Inductive inference is the only process known to us by which essentially new knowledge comes into the world.

I think there's data, and then there's information that comes from data, and then there's knowledge that comes from information. And then, after knowledge, there is wisdom. I am interested in how to get from data to wisdom.

Research is creation of knowledge which leads to new and efficient solutions for the society. Shiv Nadar University, therefore, believes in being at the forefront of research. To create new knowledge, one needs to solve open-ended problems, which basically make one think on one's own.

In essence, capitalist systems are a mechanism by which economies may generate growth in knowledge - with much uncertainty in the process, owing to the incompleteness of knowledge.

Computers combine things to make new knowledge at such high speed that we cannot absorb it.

Ever since Sir Isaac Newton's times, scientists have worked in the same sort of way: They show a great respect for experiment and observation, They don't cherry pick data, They take a skeptical approach to what they do. And then scientists work together to get a consensus as to what should be believed And that generates very reliable knowledge and that reliable knowledge drives innovation

Time, and Industry, produce everyday new knowledge.

Knowledge is promiscuous. It mates and gives birth to more knowledge.

Out of man's mind in free play comes the creation Science. It renews itself, like the generations, thanks to an activity which is the best game of homo ludens: science is in the strictest and best sense a glorious entertainment.

The type of science that I do is sometimes known as 'curiosity-driven research.' This means that my work will never result in a marketable product, a useful machine, a prescribable pill, a formidable weapon, or any direct gain.

Ideas are everywhere, but knowledge is rare.

Frequently, I have been asked if an experiment I have planned is pure or applied research; to me, it is more important to know if the experiment will yield new and probably enduring knowledge about nature.