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.
Beyond Artboards
The Pursuit of Lossless Design-Development Handoffs.
Can't developers just see?
We designers love artboards. From rough UI sketches to high fidelity mockups, we see ourselves as visual artists expressing ideas on artboards that have a pre-defined width and height. To start a new project, we declare the size of the artboard in the first step.
What about responsive design? Not a problem! We diligently design on three artboards — one for mobile, one for tablet, and one for desktop — with content elegantly adapting, scaling, reflowing, reordering, and reprioritizing. We proudly hand off the artboards to developers while patting ourselves on the back: this is how responsive design should be done.
After weeks of arduous engineering, the product finally comes out. We find, to our great dismay, that some copy is hanging off the grid, the focal point of the hero image has been cropped out, the font sizes don’t even come close to the type ramp. What went wrong? Can’t the developers just see everything on all those artboards?
Nope.
We are the ones who paved the path
No matter how many screen sizes our artboards account for, some user’s browser will break loose from our prescription. With users resizing, rotating, and zooming the screen, new devices stretching, squashing, curving, and cutting (e.g. the speaker area in iPhone X) the screen, the sizes become infinite. Good luck making an artboard for each one of them.
Artboards are a lossy format. Using artboards in a handoff is a lossy process. When we pitch a finite number of plans against an infinite number of situations. We inevitably get in-betweens. Once there are in-betweens, there are unknowns. Once there are unknowns there is guesswork. Once there is guesswork, there are surprises. Engineers take the path of least resistance. We are ones who paved the path.
Until we get there
- As a designer, learn writing HTML, or better still, semantic HTML. If coding up the entire design is too hard, try coding up one component at a time, and not worrying about CSS. The HTML alone will prove invaluable for developers to understand the content structure. In addition, you are forced to optimize the information architecture as you work out the code from content.
- If coding by yourself is out of the question, pair up with the engineer who will receive the design. Work closely with him or her to prototype the design, validate responsive behaviors, and obtain feedback on the feasibility. Don’t call it an iteration until the design has seen played with in code.
- As a manager for large enterprise, co-locate your designers and developers, encourage interdisciplinary learning, understand that each minute spent on coding before the handoff translates to ten minutes saved from changing and fixing issues after the handoff.
- As a stakeholder in the handoff meeting, give the designer a thumbs-up when he or she demos live code running in browsers in place of mockups on artboards. That’s a design champion you are looking at.