jm + nyc   9

Cameras as Traffic Cops – Hacker Noon
Guy trains model on NYC traffic camera video to detect blocked bike lanes and bus stops. Estimates "the number of tickets being given represents less than .0001% of infractions". (via lemonodor)
via:lemonodor  future  tickets  traffic  nyc  cameras  surveillance  bike-lanes  bus-stops  traffic-law 
march 2018 by jm
Riding with the Stars: Passenger Privacy in the NYC Taxicab Dataset
A practical demo of "differential privacy" -- allowing public data dumps to happen without leaking privacy, using Laplace noise addition
differential-privacy  privacy  leaks  public-data  open-data  data  nyc  taxis  laplace  noise  randomness 
september 2014 by jm
173 million 2013 NYC taxi rides shared on BigQuery : bigquery
Interesting! (a) there's a subreddit for Google BigQuery, with links to interesting data sets, like this one; (b) the entire 173-million-row dataset for NYC taxi rides in 2013 is available for querying; and (c) the tip percentage histogram is cool.
datasets  bigquery  sql  google  nyc  new-york  taxis  data  big-data  histograms  tipping 
july 2014 by jm
NYC generates hash-anonymised data dump, which gets reversed
There are about 1000*26**3 = 21952000 or 22M possible medallion numbers. So, by calculating the md5 hashes of all these numbers (only 24M!), one can completely deanonymise the entire data. Modern computers are fast: so fast that computing the 24M hashes took less than 2 minutes.


(via Bruce Schneier)

The better fix is a HMAC (see http://benlog.com/2008/06/19/dont-hash-secrets/ ), or just to assign opaque IDs instead of hashing.
hashing  sha1  md5  bruce-schneier  anonymization  deanonymization  security  new-york  nyc  taxis  data  big-data  hmac  keyed-hashing  salting 
june 2014 by jm
Handmade Kitchen Goods from Makers & Brothers - Cool Hunting
lovely kitchen-gear design from local-boys-made-good Makers & Brothers
makers-and-brothers  design  crafts  kitchen  nyc  terrazo  chopping-boards 
may 2014 by jm
Structural Integrity | 99% Invisible
'The student (who has since been lost to history) was studying Citicorp Center as part of his thesis and had found that the building was particularly vulnerable to quartering winds (winds that strike the building at its corners). Normally, buildings are strongest at their corners, and it’s the perpendicular winds (winds that strike the building at its face) that cause the greatest strain. But this was not a normal building.

LeMessurier had accounted for the perpendicular winds, but not the quartering winds. He checked the math, and found that the student was right. He compared what velocity winds the building could withstand with weather data, and found that a storm strong enough to topple Citicorp Center hits New York City every 55 years. But that’s only if the tuned mass damper, which keeps the building stable, is running. LeMessurier realized that a major storm could cause a blackout and render the tuned mass damper inoperable. Without the tuned mass damper, LeMessurier calculated that a storm powerful enough to take out the building his New York every sixteen years.'
william-lemessurier  architecture  danger  risk  buildings  nyc  citicorp-center  wind  mass-dampers  physics 
april 2014 by jm
Analyzing Citibike Usage
Abe Stanway crunches the stats on Citibike usage in NYC, compared to the weather data from Wunderground.
data  correlation  statistics  citibike  cycling  nyc  data-science  weather 
march 2014 by jm
Eight Real Tales of Learning Computer Science as a High School Girl
'All students at Stuyvesant High School are required to take a year of computer science. As it turns out, the advanced computer science classes skew mostly male anyway. But for a year, boys and girls get exposed to computer programming together. We asked Mike Zamansky, the head of the computer science program, to share some stories from his female students. They did us one better. Eight students sent in first-hand accounts of what it’s like to learn computer programming as a teenage girl.' Some interesting comments here. This topic is weighing on my mind now that I have two girls...
schools  learning  education  computer-science  technology  nyc  girls  teenage 
june 2012 by jm

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