Our Crowdsourcing/AI Newsletters

We've revamped this overall view of FromThePage to make it easier for you to find projects you're interested in: Find A Project, Better Search and Read-Only Document Sets

FromThePage now offers read-only document sets, enabling project owners to curate publicly accessible collections while preserving the integrity of works by restricting editing to authorized collaborators. This feature supports thematic grouping, access control, and workflow management.

FromThePage introduces enhanced search, allowing cross-collection and thematic searches to improve accessibility for researchers and users.

Surprisingly, some of the most skilled prompt writers for large language models come from the humanities, particularly historians with advanced degrees, due to their ability to provide context and articulate complex ideas.

Explore the latest insights on how AI is transforming libraries, as discussed at the Charleston Conference.

Discover recent advancements and challenges in Handwritten Text Recognition (HTR) technology.

Learn about our NEH-funded project using Large Language Models for entity recognition in historical documents.

Explore the potential future of museums with AI-powered animatronic exhibits and their implications.

Uncover how AI technologies are revolutionizing our ability to visualize and connect with our ancestors.

Investigate the capabilities of multi-modal Large Language Models in transcribing historical documents.

Explore how AI can generate valuable metadata to enhance organization and accessibility in various projects.

Understand the crucial role of connection in achieving high-quality outcomes in crowdsourcing initiatives.

Learn effective strategies for guiding transcribers when encountering sensitive or racist content in archival projects.

Discover ten key ways artificial intelligence is set to revolutionize archival practices and historical preservation.

Explore advanced techniques for simplifying the review process through efficient data handling and spreadsheet management.

Discover practical tips and methods to streamline your review process for improved efficiency and accuracy.

Examine the standards for evaluating transcription quality and determine what constitutes "good enough" in various contexts.

Gain valuable insights from archivists on supporting social justice initiatives, particularly the Black Lives Matter movement.

Learn effective methods for evaluating and quantifying success in crowdsourcing initiatives.

Get expert guidance on efficiently concluding transcription projects with best practices and tips.

Explore the distinctions between crowdsourcing projects and programs to determine the best approach for your needs.

Investigate how ChatGPT and other AI tools are transforming transcription processes and accessibility.

Examine the irreplaceable value of human input in areas where machine learning and AI fall short.

Explore how traditional archives serve as a crucial counterbalance to AI tools like ChatGPT in preserving historical accuracy.

Delve into the importance of trust and verification in an era dominated by AI-generated content.

Understand the impact of holidays on crowdsourcing projects and learn strategies for effective planning.

Explore the concept of meaningful work in the context of crowdsourcing and AI-driven projects.

Analyze the challenges of uneven volunteer participation in crowdsourcing projects and discover potential solutions.

Find practical solutions for overcoming challenges when transcribers struggle with cursive handwriting in historical documents.

Compare the advantages and disadvantages of public crowdsourcing versus private collaboration in various projects.

Gain valuable insights and expert advice on running successful crowdsourcing projects from an experienced practitioner.

Explore the differences between push and pull crowdsourcing strategies and their applications in various scenarios.

Investigate the potential for AI to create scholarly editions and the role of human expertise in this process.

Examine the potential of crowdsourcing for efficient metadata creation and its implications for various industries.