David A. Lee
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on the atlas — 49
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- Zintellect - Climb Higher2 savers
- Norman Borlaug7 savers
- Materials Project - Home3 savers
- Berkson's paradox9 savers
- The Foundation for American Innovation3 savers
- When the Arctic Melts | The New Yorker1 savers
- A New Causal Discovery Framework Accounting for Nonlinear Emergent Physics, Applied to Convective Initiation and Tropical Cyclone Rapid Intensification - NASA/ADS1 savers
- View article22 savers
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- Evan Chen • Course notes1 savers
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- Jack Kelly | I try to mitigate climate change using computer science. I co-founded Open Climate Fix, a non-profit research lab focused on reducing greenhouse gas emissions. Previously, I was a Research Engineer at DeepMind, where I used machine learning to predict wind power.1 savers
- 1.2: The Logistic Equation - Mathematics LibreTexts1 savers
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- - ADCIRC1 savers
- ADCIRCWiki1 savers
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- Bootstrap diagnostics and remedies - Canty - 2006 - Canadian Journal of Statistics - Wiley Online Library1 savers
- Bootstrap Methods and their Application1 savers
- NHESS - Probabilistic and machine learning methods for uncertainty quantification in power outage prediction due to extreme events1 savers
- Reddit - Dive into anything1 savers
- Life is a war | New Philosopher1 savers
- EarthArXiv1 savers
- The PyVista Project1 savers
- A Contradictory Man: The Legacy of Daniel Patrick Moynihan | Hudson Institute1 savers
- So you’re an academic who wants to help with the climate crisis? | Grace W. Lindsay1 savers
- Kerry Emanuel - Wikipedia1 savers
- dimensionality reduction - Relationship between SVD and PCA. How to use SVD to perform PCA? - Cross Validated1 savers
- bootstrap - Explaining to laypeople why bootstrapping works - Cross Validated1 savers
- Anaconda | Conda Is Fast Now. Like, Really Fast.1 savers
- The Free Lunch Is Over: A Fundamental Turn Toward Concurrency in Software1 savers
- Why are Machine Learning Projects so Hard to Manage? | by Lukas Biewald | Medium2 savers
- You and Your Research77 savers
- Home | Levers For Progress37 savers
- Should You Reverse Any Advice You Hear? | Slate Star Codex21 savers
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- The importance of stupidity in scientific research | Journal of Cell Science | The Company of Biologists7 savers
- Vesuvius Challenge7 savers
- The Rust Programming Language - The Rust Programming Language4 savers
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highlights — 41
being that you will change your field of research every seven years with a reasonable definition of what it means, or at the end of 10 years, management has the right to compel you to change. I would insist on a change because I'm serious
You and Your Researchget the problem reasonably clear and then refuse to look at any answers until you've thought the problem through carefully how you would do it, how you could slightly change the problem to be the correct one
You and Your ResearchIf you read all the time what other people have done you will think the way they thought
You and Your Researchthere would be no effect named after him in the long run
You and Your Researchfirst-class scientist you need to know yourself, your weaknesses, your strengths, and your bad faults, like my egotism
You and Your Researchhad he been willing to conform a little bit instead of ego asserting
You and Your Researchgood scientists will fight the system rather than learn to work with the system and take advantage of all the system has to offer. It has a lot, if you learn how to use it. It takes patience, but you can learn how to use the system pretty well, and you can learn how to get around it.
You and Your ResearchThe people who do great work with less ability but who are committed to it, get more done that those who have great skill and dabble in it
You and Your ResearchYou should paint a general picture to say why it's important, and then slowly give a sketch of what was done.
You and Your Researchyou have to sell it.
You and Your Researchgood man gets on with the job, given what he's got, and gets the best answer he can
You and Your ResearchThe essence of science is cumulative. By changing a problem slightly you can often do great work rather than merely good work. Instead of attacking isolated problems, I made the resolution that I would never again solve an isolated problem except as characteristic of a class.
You and Your ResearchHe who works with the door open gets all kinds of interruptions, but he also occasionally gets clues as to what the world is and what might be important
You and Your ResearchThe great scientists, when an opportunity opens up, get after it and they pursue it. They drop all other things. They get rid of other things and they get after an idea because they had already thought the thing through
You and Your ResearchIt's not the consequence that makes a problem important, it is that you have a reasonable attack
You and Your Researchcreativity comes out of your subconscious.
You and Your ResearchGreat scientists tolerate ambiguity very well. They believe the theory enough to go ahead; they doubt it enough to notice the errors and faults so they can step forward and create the new replacement theory. If you believe too much you'll never notice the flaws; if you doubt too much you won't get started. It requires a lovely balance. But most great scientists are well aware of why their theories are true and they are also well aware of some slight misfits which don't quite fit and they don't forget it.
You and Your ResearchMost great scientists are completely committed to their problem. Those who don't become committed seldom produce outstanding, first-class work
You and Your ResearchYou have to neglect things if you intend to get what you want done. There's no question about this
You and Your Researchone more hour of thinking will be tremendously more productive over a lifetime
You and Your ResearchThe more you know, the more you learn; the more you learn, the more you can do; the more you can do, the more the opportunity
You and Your ResearchKnowledge and productivity are like compound interest
You and Your ResearchNow for the matter of drive. You observe that most great scientists have tremendous drive
You and Your Researchwhen they found they couldn't do a problem finally began to study why not
You and Your Researchby turning the problem around a bit, changed a defect to an asset
You and Your ResearchOne of the better times of the Cambridge Physical Laboratories was when they had practically shacks - they did some of the best physics ever.
You and Your ResearchInstitute for Advanced Study in Princeton, in my opinion, has ruined more good scientists than any institution has created, judged by what they did before they came and judged by what they did after. Not that they weren't good afterwards, but they were superb before they got there and were only good afterwards.
You and Your ResearchThey fail to continue to plant the little acorns from which the mighty oak trees grow
You and Your ResearchWhen you are famous it is hard to work on small problems
You and Your ResearchThey will go forward under incredible circumstances; they think and continue to think
You and Your ResearchOnce you get your courage up and believe that you can do important problems, then you can
You and Your ResearchOnce he got well started, his shyness, his awkwardness, his inarticulateness, fell away and he became much more productive in many other ways. Certainly he became much more articulate.
You and Your Researchbrains correlates to a great extent with the ability to manipulate symbols
You and Your ResearchBut great work is something else than mere brains
You and Your ResearchEarly on, he had laid down some of the pieces by thinking of the fragments. Now that's the necessary but not sufficient condition. All of these items I will talk about are both luck and not luck.
You and Your Researchwhen they were young they had independent thoughts and had the courage to pursue them
You and Your ResearchNewton said, ``If others would think as hard as I did, then they would get similar results.''
You and Your Researchit is about how you individually do your research
You and Your ResearchWell, a lot of these modeling methodologies could be applied to power grids or world economic models. In fact stock-flow diagrams were first developed for economics and business in James Forrester’s book Industrial Dynamics, and they were later used in the famous Limits to Growth model of the world economy and ecology, called World3
Azimuth Project News | The n-Category CaféWe thought a lot and wrote a lot about the huge problems confronting our civilization. We did some interesting stuff like making simple climate models—purely for educational purposes, not for trying to predict anything! We also recapitulated a network-based attempt to predict El Niños.
Azimuth Project News | The n-Category CaféCausal discovery and attribution How can we improve our frameworks for determining what causes what? • Wikipedia, Extreme event attribution. • Clark Glymour, Kun Zhang and Peter Spirtes, Review of causal discovery methods based on graphical models. • Alessio Zanga and Fabio Stella, A survey on causal discovery: theory and practice.
What Can Mathematicians Do About Climate Change? | Azimuth