Resources
Haystaq White Papers
HaystaqDNA’s collection of research, analysis, and insights on data science, predictive analytics, and machine learning applied in the political and commercial space.
Frederick, Maryland Districting Report
An in-depth analysis of district configurations and population data for Frederick County, Maryland, informing fair and effective redistricting decisions.
New Jersey 2024 General Post Election Analysis
A comprehensive post-election breakdown of the 2024 New Jersey general election, examining turnout patterns, demographic shifts, and predictive model performance.
Georgia 2022 December Runoff Post Election Analysis
Detailed analysis of the Georgia 2022 December Senate runoff election, with insights into voter behavior, turnout modeling, and targeting effectiveness.
Georgia 2022 General Post Election Analysis
An examination of the 2022 Georgia general election results through the lens of HaystaqDNA’s predictive models, voter files, and demographic data.
Common Redistricting Criteria
A foundational overview of the legal, demographic, and political criteria most commonly applied in the redistricting process across states and municipalities.
Haystaq: Abortion Impact on State Legislatures
Research examining how abortion as a political issue influenced state legislative races, voter mobilization, and predictive targeting outcomes.
Report on Racial Bloc Voting Analysis for the State of Montana
A rigorous statistical analysis of racial bloc voting patterns in Montana, produced to inform redistricting deliberations and Voting Rights Act compliance.
Growing Your Audiences
How HaystaqDNA’s look-alike modeling and audience expansion techniques help commercial organizations find new customers who mirror their best existing ones.
Who are Black Republicans?
A data-driven exploration of the demographic, attitudinal, and behavioral profile of Black Republican voters, using HaystaqDNA’s national voter file and predictive models.
Identify & Model Owners of Solar Panels
How HaystaqDNA built a predictive model to identify likely solar panel owners and prospects, enabling targeted commercial outreach at scale.
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