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American Association for Public Opinion Research

ResearchHack 3.0 winners exhibit creativity and technological know-how

Congratulations to the winners of RH 3.0! Hackers worked in teams and spent the better part of the first day of the conference in New Orleans working on an app to facilitate using the U.S. Census Bureau’s Planning Database (PDB). The PDB provides selected 2010 Census and American Community Survey demographic and socioeconomic estimates at various levels of geography and includes area-level Low Response Score (LRS) estimates.
 
Judge’s Winner: Crescent City Coders Heather H. Kitada (Oregon State University, PhD candidate, Statistics); Eileen Patten (Carnegie Mellon University, Master’s student, Public Policy and Data Analysis); Anne Sherer (Wake Forest University, B.S. 2017).

The Crescent City Coders created a Geographical Giving app that uses the Census Planning Database and sophisticated statistical modeling on the back end to help non-profits predict neighborhoods with the highest fundraising potential. All the user has to do is upload existing donor data. Unique features include a variety of dependent and independent variables to choose from and a predictive map with a slider bar that allows the user to visualize different quantiles of the prediction interval.
 
Judge’s Runner-up: The Community Insight Analyst (CIA) team Lanie Anton (Nielsen); Jana Dodson (Nielsen); Renee Gindi (National Center for Health Statistics); Brent Waddington (Resonate).

The CIA team designed an app that uses the Census Planning Database and crowd-sourced data collection of real-time event information to help local governments better organize their training, resource allocation, and emergency response teams. A unique feature of the app is its ability to use public servants’ GPS location to match them to community needs. For example, in an emergency, those closest to the disaster area are quickly deployed there. Or, in a non-English speaking neighborhood targeted for housing inspections, inspectors that speak that language are assigned.
 
Audience Choice: The Intelligent Survey Design App (ISDA) team Erin Czyzewicz (SSRS); Heidi Grunwald (Temple University); Kelly Lin (Marketing Systems Group); Bryan Wu (Kaiser Family Foundation).

The ISDA team designed an app that uses the Census Planning Database and a form of crowdsourcing to help survey researchers plan their data collection efforts. By uploading paradata and the data collection parameters such as cost, location, and desired mode, users can optimize their survey implementation. The app becomes more intelligent as more survey researchers contribute to it.
 
A great big thank you, also to RH 3.0 moderator, Trent Buskirk, and to our esteemed panel of judges, Jennifer Hunter Childs, Kathleen Kephart, and Peter Miller.
 
Keep an eye out for AAPOR’s Got Talent in 2018!
AAPOR members have the talent to tackle some of the toughest issues in survey research! In September, watch for a request to the entire AAPOR community to help identify the most pressing issues in survey research. Next will be a call for teams or individuals to submit abstracts pitching ideas for addressing an important survey research problem identified by the AAPOR community. Five abstracts will be selected to present their pitches to a panel of judges in an open session at the 2018 conference, which (as a new version of what was originally called ResearchHack) will be referred to as AAPOR's Got Talent! The judges and audience will then vote to decide which team has the biggest talent. The winning team will receive $10,000 to carry out the research!