Science
Interdisciplinary
Which half?
Scientific writing
A tiny rivulet in a distant forest
The downgrading of experience
Humility
Art and science
The Structure of Scientific Revolutions
BLDGBLOG
The Art of Doing Science and Engineering: Learning to Learn
The illustrated guide to a Ph.D.
evermore, and other beautiful things
An Article by Linus the SephistIf all evidence of civilization on Earth was destroyed, and humans had to re-build society from the ground up, what would be different? Feynman reckons that pivotal scientific moments, like the discovery of the atom, will still happen in the same way. Perhaps mathematics will be similarly rediscovered.
Someone told me once in response to this question, no artwork would ever be recreated. The art we create – music, stories, dance, film – isn’t a fundamental element of the universe, or even of humanity. It’s unique to each artist. If you choose to create art, you leave something in the world that has never had a chance to exist before, and will never again have a chance to exist. There will never be another Beatles or Studio Ghibli or Picasso. Art, in its infinite variations of originality, is cosmically unique in a way the sciences will never be. Art immortalizes human experiences that would otherwise vanish in time.
Reality is Very Weird and You Need to be Prepared for That
An EssayWe might be closer than we think to cures for depression, hypertension, and yes, even obesity.
The answer to scurvy was just one thing, plus a few wrinkles — mostly “not all citrus has the antiscorbutic property” and “most animals can’t get scurvy”. This was only difficult because people weren’t prepared to deal with basic wrinkles, but we can do better by learning from their mistakes.
This means don’t give up easily. It suggests that there is lots of low-hanging fruit, because even simple explanations are easily missed.
Lots of theories have been tried, and lots of them have been given up because of something that looks like contradictory evidence. But the evidence might not actually be a contradiction — the real explanation might just be slightly more complicated than people realized. Go back and revisit scientific near-misses, maybe there’s a wrinkle they didn’t know how to iron out.
Tortured phrases
An Article by Holly ElseIn April 2021, a series of strange phrases in journal articles piqued the interest of a group of computer scientists. The researchers could not understand why researchers would use the terms ‘counterfeit consciousness’, ‘profound neural organization’ and ‘colossal information’ in place of the more widely recognized terms ‘artificial intelligence’, ‘deep neural network’ and ‘big data’.
Further investigation revealed that these strange terms — which they dub “tortured phrases” — are probably the result of automated translation or software that attempts to disguise plagiarism. And they seem to be rife in computer-science papers.
Why Most Published Research Findings Are False
A Research Paper by John P.A. IoannidisThere is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance.
A hypothesis is a liability
A Research Paper by Itai Yanai & Martin LercherThere is a hidden cost to having a hypothesis. It arises from the relationship between night science and day science, the two very distinct modes of activity in which scientific ideas are generated and tested, respectively [1, 2]. With a hypothesis in hand, the impressive strengths of day science are unleashed, guiding us in designing tests, estimating parameters, and throwing out the hypothesis if it fails the tests. But when we analyze the results of an experiment, our mental focus on a specific hypothesis can prevent us from exploring other aspects of the data, effectively blinding us to new ideas.
Pair Design: Better Together
Pair design is the counterintuitive practice of getting more and better UX design done by putting two designers together as thought partners to solve design problems. It’s counterintuitive because you might expect that you could split them up to work in parallel to get double the design done, but for many situations, you’d be wrong. This document will help explain what pair design is, how it works, and tour through the practicalities of implementing it in your practice.
It involves two brains
It involves two brains on a project at the same time. This doesn’t mean part time, checking in with each other on work that’s been accomplished separately.
Pair design really means being in the same room, working on the same problem, with both brains focused on the problem simultaneously for the duration of the project.
A distinct and complementary stance
Each person in the pair takes a distinct and complementary stance toward the design problem as they work together. One generates solutions. That is, one individual materializes solutions to the problem at hand for discussion and iteration. The other synthesizes the proposed solutions.
Gens and synths
Gens are generally comfortable drawing and drawing in front of their partner. Additionally, the generator needs to have “fearless generativity,” to be able to come up with a dozen pretty good solutions to a problem even with incomplete information.
Designers in the synthesizer role need to be skilled at describing designs and explaining rationale in writing. The role requires the designer to be detail oriented and have a strong memory, to keep the big picture of the system, stakeholders, and users in mind as a reference for designs on the table.
We come as a team
There is a legend at Cooper of one team who found pairing with each other so powerful and fruitful that when they left that company, they sought out opportunities and even interviewed at other organizations as a pair.
Starting off with pair design
It’s better to start small. Find the “genniest” designer you can and pair her with the “synthiest,” have them work through a few projects as a pair to see how it goes, evolve a process that works for your organization, smooth out the wrinkles, and become resident experts. Then, split them up, assign them with new pairs, and begin to spread.
What are the benefits of pair design?
It Makes for Better Design
- Pairing forces constant iteration: idea testing and course-correction.
- It brings to bear two brains and two stances.
It Makes for Better Designers and Better Design Organizations
- They are happier.
- Pair design makes it easier to focus on core aptitudes.
- They cross-pollinate: a mechanism for a learning organization.
Pair Design Makes for a More Effective Process
- Pairing avoids the problem of dueling whiteboards.
- It encourages designers to materialize ideas early.
- It encourages designers to vocalize their rationale.
- It encourages constant course-correction.