We are investigating volunteer reports of inaccessible project pages that will not load. For more information, see this Talk post.
Transcribe letters of early America to help trace the social networks of the day. Help us understand religious networks and migration by transcribing 17th century Quaker family letters.
Learn moreThe letters in our project are divided by theme based on the type of network implied in the text of the letters. We hope that these themes can help you choose an area of interest. For example, Material Goods include commercial networks and discussions of the movement of books and materials. Social networks discuss family, friendship, health, and communication. And Women's Lives include estate management and family life. The available themes will vary over the course of the transcription project.
Zooniverse Talk
Chat with the research team and other volunteers!
PRINT Statistics
View more statsKeep track of the progress you and your fellow volunteers have made on this project.
Every click counts! Join PRINT's community to complete this project and help researchers produce important results. Click "View more stats" to see even more stats.
Percent completeBy the numbers
Message from the researcher
"Our communication networks will become visible from these letters thanks to your help in transcribing them."
PRINTAbout PRINT
Welcome to People, Religion, Information Networks, and Travel – Migration in the Early Modern World (PRINT). This project is a collaborative effort to trace the communication networks of early modern European religious minorities and the ways they shaped the dynamic patterns of migration in the Atlantic world. Housed at the University of Central Florida, PRINT seeks to create a database of correspondence and then visualize the complex connections that arose in response to religious persecution and missionary work. Our goal is to work with archives and citizen transcribers to provide access to documents not readily available and to create tools to foster new textual and network analysis.
Connect with PRINT
We are investigating volunteer reports of inaccessible project pages that will not load. For more information, see this Talk post.
Transcribe letters of early America to help trace the social networks of the day. Help us understand religious networks and migration by transcribing 17th century Quaker family letters.
Learn moreThe letters in our project are divided by theme based on the type of network implied in the text of the letters. We hope that these themes can help you choose an area of interest. For example, Material Goods include commercial networks and discussions of the movement of books and materials. Social networks discuss family, friendship, health, and communication. And Women's Lives include estate management and family life. The available themes will vary over the course of the transcription project.
Zooniverse Talk
Chat with the research team and other volunteers!
PRINT Statistics
View more statsKeep track of the progress you and your fellow volunteers have made on this project.
Every click counts! Join PRINT's community to complete this project and help researchers produce important results. Click "View more stats" to see even more stats.
Percent completeBy the numbers
Message from the researcher
"Our communication networks will become visible from these letters thanks to your help in transcribing them."
PRINTAbout PRINT
Welcome to People, Religion, Information Networks, and Travel – Migration in the Early Modern World (PRINT). This project is a collaborative effort to trace the communication networks of early modern European religious minorities and the ways they shaped the dynamic patterns of migration in the Atlantic world. Housed at the University of Central Florida, PRINT seeks to create a database of correspondence and then visualize the complex connections that arose in response to religious persecution and missionary work. Our goal is to work with archives and citizen transcribers to provide access to documents not readily available and to create tools to foster new textual and network analysis.