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How To Buy An Election: Machine Learning to Predict Election Results

by Andrew Brodsky | Jun 14, 2018 | Data analysis, Project

The Federal Election Prediction Model predicts U.S. House of Representatives election results using advanced machine learning algorithms. The analysis predicts the number of votes a candidate will receive in a given election cycle, taking into account campaign...

Denver Preschool Program Access and Capacity Study

by Andrew Brodsky | Aug 23, 2000 | Data analysis, Needs Assessments, Project

BRC led a study to evaluate access and capacity for preschool in Denver. The study, which was sponsored by the Denver Preschool Program (DPP)  examined availability of licensed preschool slots throughout the city, and yielded a need index which represented the ratio...

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Latest News

  • Toledo Pre-K Evaluation
  • Colorado Preschool Development Grant Cost Evaluation and Needs Assessment
  • Head Start Community Needs Assessment
  • How To Buy An Election: Machine Learning to Predict Election Results
  • Bearing the Cost of Early Care and Education in Colorado: An Economic Analysis
  • Strengthening Colorado’s Early Childhood Workforce
  • Presentation at the Early Childhood Social Impact Performance Advisors Conference
  • Presentation on Pay For Success at Rocky Mountain Early Childhood Conference
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