drmeme + science   112

Logic, Explainability and the Future of Understanding
A long, wide-ranging article by Stephen Wolfram. Ostensibly about developing computer-assisted proofs by enumeration. But riffs into philosophical discussions around the nature of doing science, mathematics, and proofs. In particular, the explainability and understandability of proofs by humans. A long deep read.
wolfram  mathematica  logic  theorems  proofs  axioms  science  philosophy  mathematics  understandability  explainability  abstraction  knowledge 
23 days ago by drmeme
Learning to Learn
The Art of Doing Science and Engineering: Learning to Learn" was the capstone course by Dr. Richard W. Hamming (1915-1998) for graduate students at the Naval Postgraduate School (NPS) in Monterey, California.
hamming  youtube  learning  science  engineering 
september 2018 by drmeme
What we talk about when we talk about monads
This paper is not a monad tutorial. It will not tell you what a monad is. Instead, it helps you understand how computer scientists and programmers talk about monads and why they do so. To answer these questions, we review the history of monads in the context of programming and study the development through the perspectives of philosophy of science, philosophy of mathematics and cognitive sciences.
monad  monads  metaphor  philosophy  science  abstraction  programming 
april 2018 by drmeme
When open data is a Trojan Horse: The weaponization of transparency in science and governance
Openness and transparency are becoming hallmarks of responsible data practice in science and governance. Concerns about data falsification, erroneous analysis, and misleading presentation of research results have recently strengthened the call for new procedures that ensure public accountability for data-driven decisions. Though we generally count ourselves in favor of increased transparency in data practice, this Commentary highlights a caveat. We suggest that legislative efforts that invoke the language of data transparency can sometimes function as ‘‘Trojan Horses’’ through which other political goals are pursued. Framing these maneuvers in the language of transparency can be strategic, because approaches that emphasize open access to data carry tremendous appeal, particularly in current political and technological contexts. We illustrate our argument through two examples of pro-transparency policy efforts, one historical and one current: industry-backed ‘‘sound science’’ initiatives in the 1990s, and contemporary legislative efforts to open environmental data to public inspection. Rules that exist mainly to impede science-based policy processes weaponize the concept of data transparency. The discussion illustrates that, much as Big Data itself requires critical assessment, the processes and principles that attend it—like transparency—also carry political valence, and, as such, warrant careful analysis.
transparency  openness  data  policy  governance  science 
december 2017 by drmeme
How I learned to stop worrying and love the coming archivability crisis in scientific software
Very good paper on the inability of current mechanisms to provide a system for publishing software results that can be reproduced in the future.
science  publishing  archiving  repeatability  future  reproducibility 
january 2017 by drmeme
What has happened down here is the winds have changed
A brief history of the replicability crisis in psychology (and other disciplines).
With a particular emphasis on the reasons why some folks keep on doing things the old way. Recommendations for change.
science  psychology  experiments  replicability  history 
september 2016 by drmeme
The Most Intolerant Wins: The Dictatorship of the Small Minority
How intolerant minorities can take over a majority. In fact, they HAVE TO!

Clearly can democracy –by definition the majority — tolerate enemies? The question is as follows: “ Would you agree to deny the freedom of speech to every political party that has in its charter the banning the freedom of speech?” Let’s go one step further, “Should a society that has elected to be tolerant be intolerant about intolerance?”

The market is like a large movie theatre with a small door.

Science isn’t the sum of what scientists think, but exactly as with markets, a procedure that is highly skewed. Once you debunk something, it is now wrong.

Alexander said that it was preferable to have an army of sheep led by a lion to an army of lions led by a sheep.
nnt  taleb  intolerance  tolerance  minorities  minorityrule  renormalization  religion  conversion  popper  paradox  markets  science  asymmetry 
august 2016 by drmeme
Debunking Handbook
Freely available handbook on debunking pseudo-science. Catalog of techniques used by pseudo-scientists and how to recognize them. Not good to just debunk the pseudo-science. It typically just reinforces the behavior. Better to show the evidence for the science and the narrative that goes with it.
science  pseudoscience  myths  debunking  book  online  philosophy 
june 2016 by drmeme
A Non-scientist’s Guide to Checking the Science Behind a Claim. | Science or not?
Checklist of things to fact-check any claim. 1. Be prepared. 2. The promoters’ arguments – science or red flags? 3. Being skeptical. 4. The scientific evidence. 5. DIY evidence. 6. Conclusion.
research  science  checking 
february 2016 by drmeme
Bayes's Theorem: What's the Big Deal? - Scientific American Blog Network
Thoughts about Bayes' Theorem. And it's connection to doing science.
sciam  bayes  theorem  tutorial  mind  thinking  science 
january 2016 by drmeme
Placebo effects are weak: regression to the mean is the main reason ineffective treatments appear to work
Since the experiments include impacted individuals, they are likely to regress to the mean and thus "show" an effect that may not be there.
placebo  science  regression  repeatability 
december 2015 by drmeme
How Failing Better Could Advance Science
“Ever tried. Ever failed. No matter. Try again. Fail again. Fail better.”—Samuel Beckett. Try again, of course. But not to succeed. Try again, To Fail Better. One must try to fail because it is the only strategy to avoid repeating the obvious. Failing better means looking beyond the obvious, beyond what you know and beyond what you know how to do. Failing better happens when we ask questions, when we doubt results, when we allow ourselves to be immersed in uncertainty. The success, when it comes, has to be tested rigorously and then it has to be considered for what it doesn’t tell us, not just what it does tell us. It has to be used to get to the next stop in our ignorance—it has to be challenged until it fails, challenged so that it fails. Paying attention to failures—not for the purpose of correcting them—but because of the interesting things they have to say, because they are humbling and make you go back and reconsider your long-held views. No failure is too small to be ignored.
failure  science 
november 2015 by drmeme
The PocketLab | Wireless sensor for STEM education and makers.
A set of sensors to allow people to run scientific experiments. Smartphone connected.
sensors  experiments  science  smartphones 
october 2015 by drmeme
Doing Science On The Web – Infrequently Noted
Controlling web experiments from getting out of hand. Use global limits and provide auto-destruct.
web  experiments  science  features  prefixes 
october 2015 by drmeme
Research in Programming Languages | Tagide
Actual, experimental results in programming language design, versus theoretical (or even random!) claims.
programminglanguages  theory  practice  experimentation  science 
april 2015 by drmeme
Velocity Raptor | Relativity Game | TestTubeGames
Flash game to show Newtonian and relativistic physics.
game  physics  science  relativity  education  flash 
march 2015 by drmeme
The Science of Scientific Writing » American Scientist
Tips on how to write well. Especially explaining scientific principles.
writing  science  tips  documentation 
april 2014 by drmeme
Treat Failure Like a Scientist - James Clear
Failure generates data points. Not a reflection of you personally.
failure  science  advice 
march 2014 by drmeme
Yang's Wiki - Front Page
Huge list of links and notes on math, computer science, programming, etc.
notes  links  references  list  math  computer  science 
july 2013 by drmeme
Why Study Humanities? What I Tell Engineering Freshmen | Cross-Check, Scientific American Blog Network
But it is precisely because science is so powerful that we need the humanities now more than ever. In your science, mathematics and engineering classes, you’re given facts, answers, knowledge, truth. Your professors say, “This is how things are.” They give you certainty. The humanities, at least the way I teach them, give you uncertainty, doubt and skepticism.
humanities  science  skepticism 
june 2013 by drmeme
Decomposition
The Data Science Loop:

Ask a good question.
Answer the question while economizing on resources.
Communicate your results.
(Sometimes) Make recommendations to engineers or managers.
data  science  questions  answers  recommendations  communication 
september 2012 by drmeme
The Varieties of Scientific Experience
Different ways of experiencing science
1. Science as Method
2. Science as Production and Stewardship
3. Science as Authority
4. Science as Belonging
5. Science as “Progress”
6. Science as Aesthetic
7. Science as Dispassionate Sensibility
8. Science as Nihilism
9. Non-Experience of Science
experience  science 
september 2012 by drmeme
Automated science, deep data and the paradox of information - O'Reilly Radar
The reason that big data proponents are so excited about the burgeoning data revolution isn't just because of the math. Don't get me wrong, the math is fun, but we're excited because we can begin to distill patterns that were previously invisible to us due to a lack of information.
science  data  automation  information  outliers 
april 2012 by drmeme
The Science of Magic Series
The Science of Magic is a series of easy to do magic tricks made available for the purpose of teaching students about how to apply the scientific method in, what I hope will be, a fun and informative way.
magic  science  teaching  education  learning 
january 2012 by drmeme
Easy = True - The Boston Globe
How ‘cognitive fluency’ shapes what we believe, how we invest, and who will become a supermodel
psychology  cognition  neuroscience  brain  language  usability  science  fluency  persuation 
february 2010 by drmeme
Why We Travel : The Frontal Cortex
We travel because we need to, because distance and difference are the secret tonic of creativity. When we get home, home is still the same. But something in our mind has beenchanged, and that changes everything.
travel  psychology  science  brain  creativity 
january 2010 by drmeme
The Ties That Bind - Science News
Human social networks and how behavors spread within them.
networks  science  social  virus  contagion 
january 2010 by drmeme
Dan Pink on the surprising science of motivation | Video on TED.com
Extrinsic motivators do not work for simple straightforward tasks.
If-then bonuses do not work.
Autonomy, mastery, and purpose work in intrinsic motivation.
ted  motivation  creativity  psychology  incentives  video  science  humor 
november 2009 by drmeme
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