In this episode of the Research Like a Pro Genealogy Podcast, Nicole and Diana interview Steve Little, the National Genealogical Society Artificial Intelligence Program Director. Steve explains what Large Language Models are and their strengths, including summarization, extraction, generation, and translation. He discusses how AI can be used in genealogy to extract names, dates, and relationships from text, assist with genealogical writing and translating documents, transcribe printed and handwritten text, and transform text to different...
In this episode of the Research Like a Pro podcast, Diana and Nicole interview Mark Thompson, a professional genealogist specializing in digitizing and archiving family memorabilia and genetic genealogy. Mark shares his expertise on using artificial intelligence (AI) tools to analyze family photographs. Here are some key points from the interview: Benefits of AI face tagging: AI face tagging is a huge time saver and makes it easier to find photos in your digital archive....
In this episode, Diana and Nicole discuss the advancements in AI tools for transcribing handwritten text. They highlight FamilySearch’s new full-text search feature that uses AI to transcribe deed and probate images, and they demonstrate how ChatGPT and Claude can quickly transcribe uploaded images, significantly reducing the time needed for such tasks. They explain that before May 13, 2024, file upload capabilities were exclusive to the paid version of ChatGPT, but the newly released...
In this episode, Diana and Nicole discuss Diana’s research identifying Clemsy (Cline) Weatherford’s origins despite record loss in northeastern Arkansas. She began with extensive documentary research, identifying Clemsy’s likely family: father John C. Cline, siblings Jacob, John, and Mahala, and half-siblings Jesse, Abner, Ann, and Amanda. She then incorporated DNA evidence, using tools like the Leeds Method and network graphs with Gephi software. Nicole clustered DNA matches for her cousin Lucretia, confirming Mahala (Cline) Shockley...
Today’s episode of Research Like a Pro, Diana and Nicole discuss the challenges of genealogical research in areas with severe record loss, using northeastern Arkansas counties as a case study. They offer five tips to help researchers make progress despite such setbacks. They advise starting by understanding the extent of the record loss, suggesting sources like the FamilySearch Wiki to determine what records might still exist despite events like fires or floods. They emphasize the...
Diana and Nicole discuss BanyanDNA, a tool for analyzing complex family relationships in genetic genealogy. Leah Larkin introduced BanyanDNA in December 2023, highlighting its unique ability to identify unknown ancestors and alert users to discrepancies in family trees. Diana shares her experience with her own family tree, where her great-grandparents’ siblings married each other, creating double cousins. She builds a tree using BanyanDNA, adding DNA matches from various test-takers, and finds the horizontal tree orientation...
In this episode, Diana and Nicole discuss finding immigration records for ancestors arriving in the United States after 1906. They provide a timeline of important immigration laws and their impacts, such as the 1906 establishment of the Bureau of Immigration and Naturalization, the 1917 Immigration Act, the 1921 Emergency Quota Act, the 1924 National Origins Act, the 1945 War Brides Act, the 1948 Displaced Persons Act, the 1952 Immigration and Naturalization Act, and the 1965...
In this episode of Research Like a Pro, Diana and Nicole explore the use of mitochondrial DNA (mtDNA) and WikiTree in genealogical research. They explain that mtDNA is inherited from our mothers, with only females passing it on, and how it differs from autosomal DNA by coming from a distant maternal ancestor. They discuss how mtDNA testing reveals haplogroups, genetic population groups with a common ancestor, and share their personal testing experiences with 23andMe, FamilyTree...
In this podcast episode, Diana and Nicole discuss the use of Generative AI in scholarly and genealogical writing, emphasizing the importance of transparency in disclosing AI assistance. They talk about editorial guidelines from scholarly journals and the Association of Computational Linguistics, which suggest clear declarations of AI’s involvement in literature searches, drafting, and idea generation. Key points include recommendations for crediting AI-generated content not as authors but by detailing the AI’s role. They also explore...
In this podcast episode, Diana and Nicole discuss the evolving role of AI chatbots in various writing contexts, particularly in academia and genealogy. They highlight the changing policies around the use of large language models (LLMs) in academic writing, noting how organizations like the International Conference on Machine Learning have shifted from prohibiting to allowing LLMs, provided that authors are responsible for the content and its integrity. They delve into the ethical considerations of using...
