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Calls for Service - Police Data Initiative
The agencies below have all released data regarding calls for service, which may or may not include all types of calls, including sensitive calls as well as emergency and non-emergency calls.
police  data 
2 days ago
washingtonpost/data-police-shootings
The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty since Jan. 1, 2015.
police  research 
17 days ago
Tone.js
Tone.js is a framework for creating interactive music in the browser. It provides advanced scheduling capabilities, synths and effects, and intuitive musical abstractions built on top of the Web Audio API.
audio  javascript  music 
5 weeks ago
textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
ml  writing 
6 weeks ago
WaveGAN
WaveGAN: using GANs to synthesize raw audio
audio  ml  music 
6 weeks ago
webODM
A free, user-friendly, extendable application and API for drone image processing. Generate georeferenced maps, point clouds, elevation models and textured 3D models from aerial images. It uses ODM for processing.
gis  drone 
9 weeks ago
Generic Syllabus Maker
Fill out the form to receive a list of all the dates when your course will meet during the specified semester.
syllabus  tools  pedagogy 
10 weeks ago
WTFcsv
Data arrives at your doorstep in the form of a spreadsheet but how do you find a story in rows and columns? WTFcsv provides the first step by characterizing each column's data type and contents so that you can ask more questions.
data  tools  cartography 
10 weeks ago
GANGogh
Using GANs to create Art
ml  art 
10 weeks ago
art-DCGAN
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
ml  art 
10 weeks ago
Spirit Island | Board Game | BoardGameGeek
Spirit Island is a complex and thematic cooperative game about defending your island home from colonizing Invaders. Players are different spirits of the land, each with its own unique elemental powers. Every turn, players simultaneously choose which of their power cards to play, paying energy to do so.
boardgames  cooperative 
october 2018
Raster Vision
An open source framework for deep learning on satellite and aerial imagery.
cartography  gis  ml  tools 
october 2018
[no title]
Asking for a student: can you think of any maps for which the "making-visible" of a particular subject ultimately rendered that subject vulnerable or brought harm upon them? (like Google mapping domestic abuse shelters: https://www.dailydot.com/debug/google-maps-domestic-violence-shelter-locations/ …)
cartography 
october 2018
Research and Destroy New York City
NYPD Challenge Coins: Members Only

An annotated collection of cop memorabilia that offers a look inside a culture usually kept unseen. 68 pp. 2017.
police  research 
october 2018
mgimond.github.io
ES214 course page (GIS and Spatial Analysis)
gis  pedagogy 
october 2018
Leaflet Truesize
A plugin for easily comparing sizes of geographical shapes. You can find the docs on the plugin website.
september 2018
Differentiable Image Parameterizations
A powerful, under-explored tool for neural network visualizations and art.
ml  art 
august 2018
Weather warning: These Philadelphia neighborhoods get the hottest in a heat wave - Philly
That’s a 20-degree difference between two neighborhoods, and that can be perilous: 104 people have died from heat-related causes in the last decade. The city does not track deaths by neighborhood.

City officials fear climate change is exacerbating the problem. Recent data show that Philadelphia’s average temperature has risen 2 degrees Fahrenheit in the last 30 years. Temperature rise will have a disproportionate impact on poorer and minority residents, given that the warmest neighborhoods also are the most economically stressed and majority black or Hispanic.
climate  cartography  racism 
july 2018
Garbage In, Garbage Out: machine learning has not repealed the iron law of computer science / Boing Boing
Here's an example that stuck with me, from a conversation with Patrick Ball, whose NGO did a study of predictive policing. The police are more likely to discover and arrest perpetrators of domestic violence who live in row-houses, semi-detached homes and apartment buildings, because the most common way for domestic violence to come to police attention is when a neighbor phones in a complaint. Abusers who live in detached homes get away with it more than their counterparts in homes with a party wall.

Train a machine learning system with police data, and it will overpolice people in homes with shared walls (who tend to be poorer), and underpolice people in detached homes (who tend to be richer). No one benefits from that situation.
police  research 
may 2018
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