American Red Cross and DataKind Team Up to Prevent Home Fire Deaths and Injuries
Guest Post by Andrew Brooks, DataKind DC Core Leader and Data Ambassador
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International Craig Barowsky Day
This week we celebrated a new DataKind hoilday.
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Managing Urban Water Use When Every Drop Counts
As part of National Volunteer Week 2016, we are profiling our DataCorps volunteers of projects past, present and future. These volunteers donate a whopping 5-10 hours a week over the course of several months to apply data science techniques that can help advance a social change organization’s mission.
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Our Secret Superpower: Data Creatives
As part of National Volunteer Week this month, we are profiling volunteers of DataCorps projects past, present and future. In this special post, we highlight a lesser-known volunteer role – the Data Creative.
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Machine Learning To Help Rural Households Access Electricity
Use historical customer payment behavior data to predict which new applicants are likely to be a good fit for their pay-as-you-go solar power systems program
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Gaining Insight To Scale A New Volunteer Program
Analyze 15 years of data to uncover predictors for the best engagements between pro bono consultants, nonprofits, and Taproot Foundation
Understand what makes a nonprofit or pro bono consultant a good fit for Taproot’s long-standing and new program delivering pro bono services to nonprofits.
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Understanding College Readiness To Help Students Succeed
Begin to understand and define “college readiness” for students enrolled at KIPP LA elementary and middle schools
Determine what factors, if any, can predict a KIPP LA student’s level of college readiness, given the available data
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Collaboration and Open Data Helping to Prevent House Fires
Guest post: Ryan Swanstrom, Blogger at Data Science 101
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Using Open Data To Prevent Home Fire Deaths And Injuries
Prepare and anonymize never-before-released American Red Cross domestic disaster data and open data to gain insights
Explore the data descriptively with statistics and visually with maps and graphics to understand data quality and identify patterns
Prototype a model that predicts and maps which counties American Red Cross should target for its next smoke alarm installation campaigns
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