just skimming through, it looks like she's using past data to try to predict the future (call time and location, etc)

this seemed flawed from the start

it is an interesting project though

The aim of the challenge is to predict crime hotspots which for the most part don't vary much I'd think? The challenge then becomes identifying cluster density as a function of time which might mean using past data makes sense.

Why is it flawed. Crime hotspots are usually cyclical varying with seasons and weather like she points towards the end. There are other factors. You might be thinking of stock markets which is a different thing.

Doesn't that assume a stable population and a consistent economy?

I couldn't understand the argument, can you elaborate with some technical/scientific references ?

P.S: I am not the OP

cool, though what is the difference between this and wikidata?

It's a lot more established and used on a ton more sites, covering stuff that wikipedia/wikidata doesn't, wikidata also looks to be just a subset of semantic wiki code and not as full featured or capable.

Wikipedia explains it better https://en.wikipedia.org/wiki/Semantic_MediaWiki#Semantic_Me...

There are many countermeasures to scraping (some of which I employ)

Google is your friend

Any reports on stock crashes? I'm sure there are some sentiment analysis bots trading on news trends that read this and dumped everything.

And thirty times more likely if you are a minority.

That's what I was about to say.