CD2H gitForager

Data Science for Social Good

Login: dssg

Company: null

Location: Chicago, IL

email: datascience@uchicago.edu

Blog: http://dssg.uchicago.edu

Members

Repositories

411-on-311: Exploratory analysis and predictive models of how Chicago's neighborhoods interact with the City's 311 service requests.
acs2pgsql: Download American Community Survey data and put it into a Postgres database
ADB_tools: Tools for administering Salesforce Alumni Database. Written in Python.
aequitas: Bias and Fairness Audit Toolkit
aequitas-public: null
after-hours: null
architect: Plan, design and build train and test matrices
argcmdr: Thin argparse wrapper for quick, clear and easy declaration of hierarchical console command interfaces
audition: Choosing the best classifier models
babies-public: This is the publicly available version of the babies repo, containing code used during our project with the Illinois Department of Human Services to predict and reduce adverse births in Illinois.
benchmark: Repository for code that will be given to Benchmark Analytics
bikeshare: Statistical models and webapp for predicting when bikeshare stations will be empty or full.
catwalk: Training, testing, and evaluating machine learning classifier models
census-communities-usa: Mapping and analyzing local business data from the Census Bureau.
cincinnati: DSaPP project with the City of Cincinnati. Building upon the DSSG15 project
cincinnati2015-public: Predicting blight in Cincinnati
cincinnati_ems_public: null
ci-public: Public face of the Conservation International project
collate: Aggregation SQL Query Builder
cookiecutter: null
cta-otp: OpenTripPlanner tool and transit mobility maps for Chicago
cta-sim: Big data simulation of Chicago's public transportation to improve transit planning and reduce bus crowding
data-challenges: A repository of real-world data challenges faced by organizations used for project-based learning
data-portal-treemap: Chicago Data Portal (data.cityofchicago.org) tree map
data-science-101: Methods, tools, tips, and tricks for anyone interested in getting started doing data science for the social good.
data-sci-fellows: The sexy landing page that will make everyone want to apply for the fellowship.
deploybot: A series of Chef Recipes to deploy the DSSG stack.
dickens: Common Python descriptors
diogenes: Searching for an honest classifier
dirtyduck: Triage's guided tour
DSaPP_RA_Project: This repository includes an exercise for aspiring DSaPP volunteers and research assistants to complete
dssg2017-text_analysis: Text Analysis Tutorial for DSSG 2017 Conference
dssg-hospitalization: Patient Hospitalization Prediction Ptoject
dssg-manual: This repository contains the Eric & Wendy Schmidt Data Science for Social Good Fellowship Manual
dssg-public-hmda: null
dssg-training-workshop-2015: Main site for DSSG Training 2015
EDF: Analysis of energy efficiency loan data for the Environmental Defense Fund.
education-college-public: A 2015 DSSG project assisting school networks to increase the proportion of their alumni who graduate college
education-highschool-public: DSSG 2015 project focused on using data science methods to help partner public school districts improve their respective high school graduation rates and outcomes.
eights: Data Science template with focus on prewritten workflows
eis: null
energywise: An energy analytics tool to make commercial building more energy efficient
envfile: POSIX-compatible script like env to run a program in an environment modified by values set in a file
experiment-designer: Design triage experiments on the web
fellows-dict: A dictionary to describe DSSG's fellows and how awesome they are
givinggraph: An API tool to help understand the relationships between non-profits, for-profits, and the causes they support.
growth-curves: Statistical models of children's growth curves that predict which kids are at risk of obesity.
healthleads-public: The public repo for the 2014 DSSG Health Leads project
hitchhikers-guide: The Hitchhiker's Guide to Data Science for Social Good
hiv-retention-public: null
homelessness-public: null
hylas: Webapp for visualizing ML'd data
identifiability: null
il-dmr: Illinois EPA Discharge Monitoring Reports download and import
innovation-ecosystems: Understanding city innovation hotspots using the Census CitySDK
inspections: null
install-cli: Bash library for guided installation & bootstrapping
johnson-county-ddj-public: null
land-bank: Analytics tool to help the Cook County Land Bank acquire vacant and abandoned properties strategically.
learning: What fellows are learning about data problems and tools
LID-bills: This repository grabs state legislative documents from Legiscan for use in DSSG's Legislative Influence Detector
lorax: Speaks for the trees by providing individual feature importances from random forests.
machine_learning_legislation: Automatically identify earmarks in congressional spending bills
marketplace: null
match.edu: Predictive models to identify high-achieving high school students who are likely to undermatch - attend 2-year rather than 4-year colleges, or not go to college at all.
memphis-public: Public repository for the DSSG Memphis project
metta-data: Train Matrix and Test Matrix Storage
mexico-public: Public facing Mexico repository
milwaukee_public: milwaukee_public
MLforPublicPolicy: Class resources for CAPP 30254 (Machine Learning for Public Policy)
MS2Postgres: A tool to move data from SQL Server to PostgreSQL in an environment with limited harddrive space.
nfp: Impact evaluation of the Nurse-Family Partnership nonprofit
obscuritext: Transform text to be unreadable but still somewhat useful
openenergysaver: null
panopticon: The command center at the DSSG office. http://en.wikipedia.org/wiki/Panopticon
pgdedupe: A simple command line interface to the datamade/dedupe library.
philonous: A markup language for describing Machine Learning results and tools to use it
plenario: RESTful API for geospatial and time aggregation across multiple open datasets.
plenario-sf: Early fork of Plenar.io with custom functions written for SF and Chicago use cases.
police-eis: DSaPP police early intervention system: using machine learning to predict adverse incidents
policy_diffusion: Tracing policy ideas from think tanks and lobbyists through state legislative bills
predicting_student_enrollment_public: Statistical models and analysis of student enrollment in Chicago Public Schools
project_template: A template for a sample DSSG project.
publicsafety: Exploratory analysis and spatial correlation tests of whether jail inmate releases are associated with crime spikes in Chicago
Random_Forest_Imputer: Automatic missing value imputation using random forests
rcra: null
repo-scraper: Search for potential passwords/data leaks in a folder or git repo
results-schema: Store results of modeling runs in a relational database
sanergy-public: null
sedesol-public: null
signalled-timeout: Timeout library for generic interruption of main thread by an exception after a configurable duration.
sklearn_tutorial: Short tutorial on some pipeline issues
streetlights-crime: Statistical models to find whether Chicago street light outages are associated with increased crime
student-early-warning: Using machine learning to predict high school dropouts
stupid-csv-tricks: Code for doing slightly atypical things with CSVs
syracuse_public: null
timechop: generate time splits for temporal validation
triage: General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
tweedr: A machine learning API to analyze tweets during disasters.
tyra: Prediction model evaluation
UPSG: A set of tools and conventions to help data scientists share code
ushine-learning: An API that uses machine learning to help the Ushahidi nonprofit do smarter crisis crowdsourcing.
weather2pgsql: Download NOAA weather for a user-specified US state
where-we-work: visualizing Chicago employment data
wikienergy: Git repo for Wiki Energy project

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.