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Will Traves

530 days ago
March 4-5, 2016
FHI 360, 1825 Connecticut Ave NW #2, Washington, DC 20009
 
  • Need help?
Your organizers are Josh Tauberer, Eric Mill, and Julia Bezgacheva. Please find us if you need anything.
 
  • Workshops (Saturday)
  • Election-Year APIs, by Lindsay Young (Sat 10:15) A brief overview of API basics, followed by an in-depth look at the FEC API. Then, we’ll work with some resources from Pro Publica and Open Secrets. slideslidess, json chrome extension,  
 
  • Intro to Command Line & Coding, by Jessica Garson (Sat 1:30) In this class you will learn the basics of the command line, write your first two Python programs, and discuss resources for further learning. Slides and Scripts:  https://github.com/JessicaGarson/Open-Data-Day-Intro-to-Coding My twitter profile is @jessicagarson 
 
  • Intro to D3.js, by Chris Given (Sat 3:15): D3 is an expressive and powerful tool used to create many of the interactive data visualizations we see on the web today. If you’re trying to do more with your data than is possible in Excel or Tableau, or if you’re making websites that require interactive, data-driven graphics, this workshop will lead you through the build of a complete D3 project
 
  • Projects
Please add your project by adding a link here to a new page on this hackpad for your project.  
Best practices: Clearly state the Problem, resources (e.g. datasets) available, suggested solution, skillset requested of volunteers, how solutions will be sustained post-hacking, and contact for point person. 
 
Emanuel F
  • Programmatically access historical DC cartoons, photographs, maps, oral histories, postcards, and other ephemera, plus their rich metadata!
 
Sophia L
  • Is there a relationship between gentrification and improved education?
Emily S
  • How do we predict, anticipate, visualize?
  • Which came first, better schools or higher income?
 
 
 
  • Point of Contact: Sophia B Liu - 630-729-4216, sophialiu@usgs.gov
  • Looking for people who can do some data science - wrangling and visualizations
  • Looking for people who can create an interactive game around critical minerals
  • Looking for people who can create simple interactive stories or maps 
 
  • Problem: we want more voters to use available early voting centers in order to reduce the possibility of long lines at polling stations on Election Day. By analyzing voter demographics and past voting patterns, can we determine where and to whom we should be promoting early voting?
 
  • Point of contact: Dave Lehr - davelehr@gmail.com
  • Looking for designers, BI Developers
 
Siddharth K
  • Point of contact: Elaine Ayo, Sid Kulkarni
Elaine A
  • Tasks:
  • Refine wireframe and create github issues for features, look at current apps out there and figure out how scanner functionality works
  • Evaluate available UPC data and figure out best source for app
Siddharth K
  • Looking for: designers, app developers
Max R
  • Bullets for the Mayor (AKA what we accomplished at OpenDataDay DC on Saturday March 5, 2016):
  • Today with the work of a dozen volunteers, we developed a custom app interface, built a prototype app, and wrote code to parse UPC databases to help build an app for volunteers at the Capital Area Food Bank (CAFB) to more quickly classify bulk donated salvage packaged food into "wellness" or "not wellness".   We also made progress in using Census and CDC data on were there are higher concentrations of diet related health problems in the DC Maryland Virginia (DMV) area so CAFB initiatives can better target those areas. Github link: https://github.com/cafbdk.  We even had some progress on another mapping project where the American Red Cross may want to consider installing Smoke Alarms across the US. 
  • The next step is to tie all 3 aspects of the app all together into an alpha version during our event on April 2 and build a first version of the diet-related health map of the DMV.  After that, we will work with the Capital Area Food Bank to further refine this prototype with their feedback.  Here's the link to the Meetup placeholder to RSVP for the next event: http://www.meetup.com/DataKind-DC/events/229365671/
 
  • APP MAGIC BOOM EXPLOSION AWESOME PROFIT:
 
  • Point of contact: Mark Silverberg (@skram / mark.silverberg@socrata.com)
 
  • Point of contact: Darron Fuller (darron.fuller@daen-society.org)
Kara T
  • As of Feb. 26, 2016, Washington, DC's unemployment rate was 6.6%, 48th in the nation (Source: BLS). 
Will T
  • Idea: Connect skilled workers of high unemployment/low economic geographic areas (census tracts) to opportunities in areas of high-opportunity
  • Unemployment by Census Tract (click on map to find): 
  • unemployment by census track (table): 
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Kat T
  • Code4Africa Projects - geared toward remote participation:
 
 
  • Visualized the max, median, and min price by month for each state for every year from 1997-2015 for each state, demoing only for the year 2003.
  • Bar graph visualization for the costs of houses from 1997-2015 for California by month. 
  • People of Contact: Roshan Thapaliya , Saurav Keshari Aryal, Susan Bhattarai.
  • Email us at firstname.lastname@bison.howard.edu
  • We are Computer Science Majors at Howard and looking for Summer internships. Please hit us up, if you need any interns for Summer 2016.
 
Tess B
  • Access to Hospital-based healthcare and the factors that impact access to care before seeking care at health care facilities
  • POC: ???
  • Data on obesity, crime rates, community parks
 
...
530 days ago
Unfiled. Edited by Will Traves , Darron Fuller 530 days ago
  • Idea: Connect skilled workers of high unemployment/low economic geographic areas (census tracts) to opportunities in areas of high-opportunity.
Will T
  • Take-away: Unemployed workers may need to travel long distances to obtain work in high opportunity areas. This project pairs workers with jobs in order to maximize income after commuting expense. The results should inform transit decisions for DC. 
  • Steps: 
  • Used this info to identify high underutilization tracts (unemployment >= 10%) and high opportunity tracts (areas where there are more jobs than people living in the area).
  • We passed this info along to our Operations Research team to run their model built in Gurobi to determine the optimal job paths. My understanding is that they were solving a network optimization model (transportation model) but this might be  very far from correct. They used number of people unemployed in a tract as the source number and number of available jobs (computed using 6% (our estimate of the national unemployment rate) times the number of jobs, which is a really rough estimate).  
 
  • Another project is to find information about the number of people with given skills (by location) and the number of people working in an area with given skills (by location). This is relevant and important but not doable in the time frame. 
  • Other helpful links: 
 
  • American Community Survey Census Dataset
  • People that contributed: Darron Fuller, Kate Riesbeck, Greg Elin, Rob Jarvis, Alex Lyte, Bob Kraig, Ori Pleban, Mike Delgado, Muhammad Imran, Kara Turner 
 
 

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