Voter Turnout Analysis via Python & Pandas

Saturday August 10 10:00 am PDT

This workshop will guide participants through the development of a thorough and repeatable process for analyzing voter turnout using a variety of demographic elements. Using the open-source scripting language Python and the data analysis library Pandas, participants will integrate demographic data with voter turnout to compare and contrast an area’s demographic makeup with voter turnout. Such a tool will support efforts like gap analysis and the evaluation of voter turnout initiatives

Voter Turnout Geospatial Analysis & Visualization in R

Saturday August 10 2:00 pm PDT

This workshop will teach participants how to visualize and analyze patterns in voter participation using the open-source programming language R. Demos and hands-on exercises will draw upon real election and census data and use R packages, including the tidyverse, tidycensus, and sf. By the end of the workshop, participants will be able to import election and census data in R, summarize voter characteristics relative to the population baseline, and visualize the results as cross-tabulations, charts, maps, and simple descriptive stats.

Voter Turnout Geospatial Analysis & Visualization with QGIS

Saturday August 17 10:00 am PDT

This workshop will explore Data for Democracy using the free and open-source tool QGIS. QGIS is like a free and open democracy — it is accessible and inclusive! QGIS is similar in functionality to Esri's ArcGIS Pro, is compatible with any computer, and does not require a license or subscription. Using QGIS, we will learn to visualize and analyze data and then make some beautiful maps to show our results.

Ballot Drop Box Location Access Assessment via Network Analyst

Saturday August 17 2:00 pm PDT

Workshop attendees will acquire invaluable skills by employing network analyst for location analysis, honing their ability to assess accessibility to specific destinations. This Data and Democracy workshop will uniquely leverage this methodology to optimize accessibility to ballot drop box locations, with the ultimate aim of bolstering voter turnout. Participants will learn to utilize network analyst tools effectively and gain insights into spatial analysis's critical role in promoting democratic participation. By focusing on enhancing accessibility to vital civic resources, attendees will be equipped to make meaningful contributions to community engagement and democratic processes.

Voter Turnout Time Series Analysis

Saturday August 24 10:00 am PDT

This workshop provides a foundational understanding of predictive modeling techniques in political science. Participants will be introduced to the fundamentals of time series analysis to anticipate voter behavior trends accurately. Through this interactive session and utilizing practical exercises, attendees will learn how to leverage historical data to forecast turnout rates for upcoming elections. Expert instructors will offer guidance on building basic forecasting models tailored to the dynamic nature of electoral processes. By the conclusion of this workshop, attendees will have acquired essential skills to initiate informed predictions crucial for political campaigns and policy decisions.

Ballot Drop Box Location Accessibility and Suitability Assessment via Raster Data

Saturday August 10 2:00 pm PDT

This workshop provides participants the opportunity to assess ballot drop box locations using a geospatial analysis platform. Attendees will be introduced to the concepts of raster data, data observation/recording, and weighted analyses. Through this workshop, attendees will learn how to import and inspect raster data, visually quantify and record various accessibility features, and generate an Accessibility Index for each ballot drop box location, which can provide valuable insight into potential voter turnout. By the end of this workshop, participants will have gained the skill sets needed to perform accessibility analyses using a variety of raster data sources, allowing for the improvement of voter accessibility options.