25 years of making better yesterdays
Roy Rosenzweig founded the Center in 1994 with early support from the National Endowment for the Humanities, creating digital projects that pushed the boundaries of history and the humanities. We have since produced almost 100 different projects, used by tens of millions of people every year. Though Roy passed away in 2007, his vision continues to drive everything we do.
Our greatest strength is our people. More than 130 individuals have worked here over the past 25 years, including multi-disciplinary humanities scholars, researchers, software developers, designers, and media producers. We are proud that our collaborators span many academic fields and technical specialties, both in the United States and around the world.
Since our inception, we have pushed the boundaries of digital humanities by using technology to democratize history: to incorporate multiple voices, reach diverse audiences, and encourage popular participation in preserving the past. In 2018, our projects attracted over 35 million visits from more than 20 million individuals. Our work is always open source and open access, available to all.
Each year, the Roy Rosenzweig Center for History and New Media’s many project websites receive over 16 million visitors, and more than a million people rely on its digital tools to teach, learn, and conduct research. Donations from supporters help us sustain those resources.
RRCHNM Eventswatch the panel online on Sunday, January 10, at 4:30 p.m. See all events
RRCHNM is pleased to announce that Jason Heppler will be joining us this June as a web developer. Jason is well known in digital history circles for his exciting and pioneering work on data visualization, community engagement, and environmental and urban history. His best known work which he led or to which he contributed as […]Read more of the news
DataScribe is a structured data transcription module for Omeka S. It provides an easy-to-use interface for users to identify the structure of the data within their sources, accurately and quickly transcribe data into a format amenable for computational analysis, and export their generated datasets for that analysis. Scholars often collect sources, such as government forms […]Explore more projects