The accessibility of open data has made its use possible in so many fields, from policing, to commuting patterns, to jazz music. It’s making our world more understandable and more connected. Its latest use comes from Ben Wellington from the blog I Quant NY. Using NYC’s Open Data Portal, Ben was able to find how many drivers in NYC were being ticketed for parking in legal spaces.
A little-known 2008 law allowed drivers to park in front of sidewalk pedestrian ramps that weren’t connected to a crosswalk. Unfortunately, Ben and many like him found tickets on their cars despite parking in perfectly legal spots.
I’ve got a pedestrian ramp leading to nowhere particular in the middle of my block in Brooklyn, and on occasion I have parked there. Despite the fact that it is legal, I’ve been ticketed for parking there. Though I get the tickets dismissed, it’s a waste of everybody’s time. And that got me wondering- How common is it for the police to give tickets to cars legally parked in front of pedestrian ramps? It couldn’t be just me…
Using the city’s open data, Ben was able to find out it wasn’t just him; he found 1.7 million dollars in fines were levied against cars that were legally parked. So what does that mean for the good people parking on the streets of New York? Well, because of Ben’s work it actually means that something might change. In a response from the NYPD it was noted:
[T]he department sent a training message to all officers clarifying the rule change and has communicated to commanders of precincts with the highest number of summonses, informing them of the issues within their command.
Thanks to this analysis and the availability of this open data, the department is also taking steps to digitally monitor these types of summonses to ensure that they are being issued correctly.
Here it is, open data and transparency in action. Very exciting.
Check out the data and Ben’s mapping project on the ticketing hotspots at I Quant NY.
At our visit from IBM Watson specialist Armen Pischdotchian last month, we learned about all the ways that cognitive computing was changing our world. And while Armen was pretty thorough in his workshop, we were still surprised to see Watson on the red carpet. But there it was, at the Metropolitan Museum of Art’s annual gala, in the form of a “cognitive dress” designed in partnership with Marchesa. The designers used the technology to create a dress embedded with color-shifting LEDs that responded to followers emotions.
Prior to the gala, Watson analyzed Marchesa’s social media to translate followers’ sentiments into colors. It turned emotions into information, and created a color palette for the LEDs from that analysis. In real-time during the gala, Watson processed the huge volume of tweets surrounding the event, and changed the color of the dress according to the emotions in them. Rose signified joy, coral meant passion, aqua was excitement, lavender denoted curiosity, and butter indicated encouragement.
The project, which IBM describes as “a partnership between man and machine” required Marchesa designers to feed hundreds of images to Watson; the technology responded with suggestions for design and color. In the past, Watson’s forays into fashion have mostly been on the back-end, helping brands like North Face and Melborne Fashion Week better serve the needs of their customers, so this shift to the design side of things marks an interesting shift.
We are constantly quantifying our days-our steps, our sleep patterns. To that end, this dress feels like a natural extension of that; another way to make sense of the flow of information that washes over us. Data has always been at its best when it’s telling a story, when it’s something more than charts and numbers, so the blend of data visualization, fashion, and emotion seems natural in a way. It’s another story to tell. I suppose that we can’t know right now just what story partnerships like this will be telling in the future.