Shameless plug for my React library for creating interactive visualizations on the web, in case anyone wants to make similar things. Probably needs a little work to make things this sophisticated though :)
I was really confused for a moment, because I thought the title of this post was "MIT Mathletes" (like athletes) and so this shameless plug seemed very random.
Wow, this is stunning! I foresee this as a frontend visualisation tool for a Brilliant.org competitor (something I have been wanting to do for a while, but haven't been able to find time for)
Sometimes you're so good and qualified for something that some guy inside gets jealous and moves a few strings to keep you away. Happens more often than not.
So, ignore that and keep up doing what you do, which is great btw.
I just made a awesome-type list of tools that can be used for creating interactive mathematics (and physics) visualizations like we see here. Feel free to add tools that i forgot to mention.
I don't know of any such list. I was thinking of including native platforms in the list, but I think that there are no too many examples. Web is dominant platform for this.
Slightly off-topic question: how would you call these playable things embedded in HTML these days? I would like to use the word "applet" but it can be still confusing to those who remember Java Applets. Any idea?
I’ve seen other people use "interactives", "interactables", and "explorables" (as in "explorable explanation"). Those feel a little forced to me.
At Distill we simply called them "figures" or "diagrams"; sometimes "interactive figures" or "interactive diagrams" when the distinction needed to be made.
One of my grad school text books had interactive experiments based on Java Applets. I occasionally go back to work through the chapters we never finished and running the applets is a challenge. I think the last time I tried, I ended up finding a command-line interface to run an applet outside of the browser.
Agreed, "applet" is a self-documenting word, it's a shame that it is confusing! Personally I like the word "vignette" although I haven't seen it anybody else using it that way.
Unfortunately, all of academia is like this now. The most successful PIs are the best marketers of work produced by an army of grad students recruited for their cheap labor costs more than their future in the academic world.
This makes me think about who we revere as scientists and who we compare ourselves to.
A lot of success in life is out of our control. Conditions produce outliers, not diligence and hard work (Outlier X probably did work hard, but the conditions were so for their nervous system to act as such).
Besides this, the phenotype that academia reveres is a particular type of low-level bureaucrat that works by quantity, not quality.
For example, I'm in academia, but I prefer to solve interesting problems and create new things of high quality. I have never had to retract a paper, nor has anyone found a mistake in my work. I don't supervise more than one or two students at a time, because I want to be able to devote time to them. People like me languish and do not get promoted to tenure.
I have colleagues who pride themselves on how many e-mails they answer a day and recruit large labs of grad students who download neural net codes, tweak and publish. They talk of "least publishable units, or LPUs" and are always submitting and chairing ... submitting grants, submitting papers, chairing committees, etc. They get tenure very quickly and make a lot more money than I do. But they aren't scientists, they are bureaucrats who send emails. They decide what science is done, because they chair funding committees, so we get boring, incremental science that is stuck in local minima.
> This self-paced short course by Professor Haynes R. Miller, Ph.D. [ Biography ] focuses on the use of technology in mathematics education at the university level. The course begins with an introduction and then explores the MIT Mathlets collection by providing examples of Mathlet use in three different contexts.
Interesting, but in the first one I clicked on, "T distribution", there should be more explanation. It says only "The t distribution depends on one parameter.". I would say, "The shape of the t distribution depends on one parameter, the degrees of freedom, which controls the kurtosis. As df approaches infinity the t distribution approaches the normal distribution."
https://mafs.dev/