US Holocaust Memorial Museum:
History Unfolded Visual Analytics

Transforming a crowd-sourced historical database of 611 student-contributed newspaper entries into actionable visual insights — interactive dashboards, geographic maps, and infographic-style representations to support exhibit planning at the USHMM.

Timeline
Jan – Apr 2015
Role
Visual Analytics Consultant
Context
UMD Masters Capstone
Client
US Holocaust Memorial Museum
🔧 Full case study in progress — detailed methodology, visualizations, and outcomes coming soon.

Project Overview

The United States Holocaust Memorial Museum's History Unfolded project is a groundbreaking crowd-sourced research initiative engaging students nationwide in discovering what Americans knew — and when they knew it — about the Holocaust as events unfolded. Students researched local and national newspapers from the 1930s and 1940s, digitizing articles about Nazi persecution and submitting their findings to a centralized database illuminating how Holocaust-related news reached American communities in real time.

As Visual Analytics Consultant for my Masters capstone project at the University of Maryland, I partnered with the museum's research team to transform their growing database — containing 611 student-contributed entries at the time of analysis — into actionable visual insights. My objective was to provide researchers with multiple analytical lenses through which to dissect, cross-tabulate, and visually analyze this crowd-sourced historical record in preparation for an upcoming museum exhibit.

The project demanded balancing sophisticated data visualization techniques with accessibility for humanities researchers who possessed deep historical expertise but limited technical training in analytics tools.

Project Scope

Data Work
611 student-contributed entries CSV export processing DataWatch data preparation Excel transformation Metadata validation
Visualizations
Tableau interactive dashboards Cross-tabulation analysis Tree map visualizations Bubble chart representations Page distribution analysis
Web & Geo
HighCharts animated visualizations CartoDB chronological mapping Temporal spread animations Interactive filtering elements
Outcomes
Exhibit planning insights Researcher training materials Museum invited follow-up engagement Database grown to 2,000+ entries

Key Findings

The visualization analysis revealed previously unrecognized patterns in American newspaper coverage — geographic variations in awareness, temporal clustering around specific events, and systematic differences in how various publications framed Holocaust-related news. The most compelling finding was the disconnect between which historical events received disproportionate media attention versus those that went largely unreported in American communities.

Performance vs. Satisfaction Paradox

Headline word choice analysis revealed meaningful terminology trends and linguistic variations across publications and time periods. Geographic analysis using CartoDB showed which American communities had access to information about specific events and when awareness spread geographically — providing evidence of information propagation patterns that would have been difficult to discern through traditional tabular data review.

Long-Term Engagement

The visualization work and tool training were enthusiastically received by the museum's research team, who immediately applied the analytical frameworks to their ongoing exhibit development work. Based on the project's success, the museum invited me back one year later to present a comprehensive training session to an expanded committee — extending the impact of the capstone work and supporting the museum's ongoing capacity to analyze their growing database as student contributions continued expanding beyond 2,000 entries.