“cool” as information flow

“Coolness” is a measure of creative information’s degree of flow through a social network. Individuals merely channel and contribute to this flow as it progresses through such networks, they do not contain or retain coolness within themselves. However some individuals prove more receptive to the incoming information and more effective at transmitting it forward than […]

artificial intelligence in fashion (part two: a first step)

In my last post, “artificial intelligence in fashion (part one: brainstorming)“, I produced a list of big ideas on how machine learning and artificial intelligence may be applied to the fashion industry. I addressed sizing, marketing, and design activities when brainstorming this list. This post doesn’t specifically cover an artificial intelligence solution, but it lays […]

artificial intelligence in fashion (part one: brainstorming)

Brainstorming as usual: Fashion dictums involve many IF-THEN-ELSE rules. One can convert this into a decision engine (inference engine). User specifies their body shape, and a recommendation engine selects suitable clothing for them, taking into account the user’s tastes. Upload an image of a dress you want to buy, and specify the dress’s given size. […]

on leadership: dead reckoning

Sometimes circumstances require that you calculate your position using no information other than knowledge of your previous direction and distance traveled. Of course, this statement specifically refers to marine navigation, but it serves as a rather good metaphor for life and leadership. Two years ago I became “Emily”, drawing courage only from deep confidence in […]

DIY Twitter analytics (part 3: hashtag network)

I’ve been mathematically analyzing my Twitter feed to determine how best to position my tweets for maximum impact, and have been documenting the work on this blog. While I’ve not come to any brilliant conclusions yet, I’ve made progress. My first post on the subject described clustering my followers by their hashtag use to see […]

DIY Twitter analytics (part 2: correlations)

I’ve been working with the Twitter API to develop my own Twitter analytics tool chain, and have been documenting the results on this blog. My last post on the subject described clustering my followers by their hashtag use to see whose tweets are most like mine. My goal of this project is to figure out best […]

why I read evolutionary psychology papers

It might seem odd that a bioinformatician with an engineer’s training would read evolutionary psychology papers on a regular basis. Here is why I do so: Suppose the human brain changes on an evolutionary time scale. It would follow then that not much has changed about our minds since before the invention of agriculture, and […]

data scientist goes coolhunting…

Intuitive coolhunting scales poorly. Here’s some math to help fix that problem: Axioms of cool Five axioms enable us to mathematically model cool: No one is intrinsically cool, individuals simply channel it. Ability to temporarily hold coolness varies by individual. Coolness naturally flows into some individuals more readily than others. Rate of coolness flow into […]

marketing to scientists will give Red Bull new wings

“I don’t always drink rocket fuel, but when I do, I prefer Red Bull.” I hereby offer Red Bull a unique opportunity to sponsor my science career:  I’ll drink Red Bull while giving talks at scientific conferences and at my eventual Ig Nobel Prize acceptance ceremony, while Red Bull pays me lots of money. Scientists […]