From Research to Data with AI 1 of 5: From Records to Raw Data—Extracting with AI
Thu, March 12 2026: 0:00 UTC
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
From Research to Data with AI 2 of 5: Cleaning Up—Fixing, Formatting, and Validating Data
Thu, March 26 2026: 0:00 UTC
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
Organizing AI Research: Saving and Searching Your Best Genealogy Chats
Wed, April 1 2026: 1:00 UTC
AI chatbots are transforming genealogy, but how do you make sure your most important discoveries aren’t lost in a sea of conversations? This practical session will show you how to collect, organize, search, and future-proof your best LLM (Large Language Model) chats—across platforms like ChatGPT, Claude, and Gemini. You’ll learn step-by-step workflows, smart tagging and annotation, and automated tools to find and preserve your key research insights. Ensure your most important chats don’t get lost, forgotten, or accidentally deleted.
AI chatbots are transforming genealogy, but how do you make sure your most important discoveries aren’t lost in a sea of conversations? This practical session will show you how to collect, organize, search, and future-proof your best LLM (Large Language Model) chats—across platforms like ChatGPT, Claude, and Gemini. You’ll learn step-by-step workflows, smart tagging and annotation, and automated tools to find and preserve your key research insights. Ensure your most important chats don’t get lost, forgotten, or accidentally deleted.
From Research to Data with AI 3 of 5: Organising Information—Tables, Tags, and Templates
Thu, April 9 2026: 0:00 UTC
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
5 Ways to Use AI to Find Family in Final Records at MyHeritage
Tue, April 14 2026: 18:00 UTC
Discover 5 exciting ways to use AI assistants to get more out of the records you find in MyHeritage’s “Death, Burial, Cemetery & Obituaries” collection. 1) Understanding & Interpreting Records 2) Gravestone & Cemetery Insights 3) Obituaries as Family Stories 4) Cross-Referencing & Next Steps 5) Creative Ideas for Sharing Your Discoveries.
Discover 5 exciting ways to use AI assistants to get more out of the records you find in MyHeritage’s “Death, Burial, Cemetery & Obituaries” collection. 1) Understanding & Interpreting Records 2) Gravestone & Cemetery Insights 3) Obituaries as Family Stories 4) Cross-Referencing & Next Steps 5) Creative Ideas for Sharing Your Discoveries.
From Research to Data with AI 4 of 5: Seeing Patterns—Summaries, Timelines, and Clusters
Thu, April 16 2026: 0:00 UTC
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
From Research to Data with AI 5 of 5: Your AI Research Assistant—Logs, Notes, and Citations
Thu, April 23 2026: 0:00 UTC
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
Use AI to extract, clean, organise, and analyse your family history research. Intermediate level, focused on workflows and data handling; ideal for users managing large research projects; activities include table-building, clustering, and data cleaning.
Using MyHeritage in Your Genealogical DNA Testing Plan
We often need other family members to take a DNA test for us to help us solve our genealogical problems. We’ll discuss ways MyHeritage can help us find, test, and collaborate with our DNA cousins.
We often need other family members to take a DNA test for us to help us solve our genealogical problems. We’ll discuss ways MyHeritage can help us find, test, and collaborate with our DNA cousins.
La fotografía de un desconocido: ¿punto de partida para una genealogía?
En la actualidad, cuando casi cualquier cosa pasa por la IA, el descubrimiento de una fotografía hecha a finales del siglo XIX o principios del siglo XX, no solo nos traslada a otro momento de la historia en el que el contexto era totalmente diferente, sino que nos abre las posibilidades de estudio de una persona y de una familia. Pero, además, ¿qué nos aporta una fotografía de un desconocido? ¿cuánto podemos averiguar de él y de su entorno? Una fotografía es un documento de memoria colectiva y, como tal, aporta una fuente de información sobre estructura familiar, estilo de vida y valores sociales de la época.
En la actualidad, cuando casi cualquier cosa pasa por la IA, el descubrimiento de una fotografía hecha a finales del siglo XIX o principios del siglo XX, no solo nos traslada a otro momento de la historia en el que el contexto era totalmente diferente, sino que nos abre las posibilidades de estudio de una persona y de una familia. Pero, además, ¿qué nos aporta una fotografía de un desconocido? ¿cuánto podemos averiguar de él y de su entorno? Una fotografía es un documento de memoria colectiva y, como tal, aporta una fuente de información sobre estructura familiar, estilo de vida y valores sociales de la época.
From Problem to Solution: A Case Study Approach to Using AI in Genealogy
Artificial intelligence is changing the way genealogists work—but how do you move beyond tips and tricks to apply AI in a sound, methodical way? In this session, Andrew Redfern demonstrates how a case study approach provides the answer. Using real examples, he walks through the stages of tackling a genealogical problem with AI, showing how tools can assist with transcription, analysis, correlation of evidence, and presentation of findings. Rather than treating AI as a shortcut, Andrew highlights how to integrate it into the established genealogical research cycle—problem definition, source gathering, analysis, and conclusion. Attendees will see how AI can clarify complex evidence, save time on repetitive tasks, and support storytelling, while still requiring human expertise and critical thinking. By the end of the session, participants will have a practical framework they can adapt to their own research problems, ensuring that AI becomes a trusted partner in genealogical methodology.
Artificial intelligence is changing the way genealogists work—but how do you move beyond tips and tricks to apply AI in a sound, methodical way? In this session, Andrew Redfern demonstrates how a case study approach provides the answer. Using real examples, he walks through the stages of tackling a genealogical problem with AI, showing how tools can assist with transcription, analysis, correlation of evidence, and presentation of findings. Rather than treating AI as a shortcut, Andrew highlights how to integrate it into the established genealogical research cycle—problem definition, source gathering, analysis, and conclusion. Attendees will see how AI can clarify complex evidence, save time on repetitive tasks, and support storytelling, while still requiring human expertise and critical thinking. By the end of the session, participants will have a practical framework they can adapt to their own research problems, ensuring that AI becomes a trusted partner in genealogical methodology.
Tracing an Ancestor’s Journey with ChatGPT: Unraveling Family History with AI
Explore how AI technology, exemplified by ChatGPT, can revolutionize your family history, by embarking on a journey through an ancestor’s life, leveraging AI to uncover his story and shed light on the broader implications for genealogical research!
Explore how AI technology, exemplified by ChatGPT, can revolutionize your family history, by embarking on a journey through an ancestor’s life, leveraging AI to uncover his story and shed light on the broader implications for genealogical research!
AI as Partner, Not Replacement: Human-Led Research Planning in the Sally Keaton Case
This lecture explores how modern AI tools can assist genealogical research planning through the case of Sally Keaton, where the objective was to identify her children using limited historical records and DNA evidence. The presentation demonstrates how to structure effective research plans with AI assistance, covering essential elements including clear objectives, summaries of known facts, working hypotheses, identified sources, and prioritized strategies. Using Sally Keaton’s case as the central example, the lecture showcases practical AI tools, such as side-by-side editors: Canvas (ChatGPT and Gemini) and Artifacts (Claude); also advanced capabilities including reasoning models and organizational tools like ChatGPT’s Projects, Claude’s Projects, Perplexity’s Spaces, and Gemini Gems. While AI can create research plans on its own, human-AI collaboration produces better results. When researchers guide and refine AI-generated strategies instead of using fully automated planning, they achieve more accurate results.
This lecture explores how modern AI tools can assist genealogical research planning through the case of Sally Keaton, where the objective was to identify her children using limited historical records and DNA evidence. The presentation demonstrates how to structure effective research plans with AI assistance, covering essential elements including clear objectives, summaries of known facts, working hypotheses, identified sources, and prioritized strategies. Using Sally Keaton’s case as the central example, the lecture showcases practical AI tools, such as side-by-side editors: Canvas (ChatGPT and Gemini) and Artifacts (Claude); also advanced capabilities including reasoning models and organizational tools like ChatGPT’s Projects, Claude’s Projects, Perplexity’s Spaces, and Gemini Gems. While AI can create research plans on its own, human-AI collaboration produces better results. When researchers guide and refine AI-generated strategies instead of using fully automated planning, they achieve more accurate results.
Genealogy Meets the Internet Archive and AI: A Comprehensive Review
Learn to harness the Internet Archive’s free digital library—a treasure trove of digitized family histories, city directories, census and church records—to enrich your genealogy research. Learn how to build complex prompts to build an index of surnames on a 400 page genealogy book from 1898. Learn how to extract a list of migration routes from the same book, organized by surname, then in generation order, and placed in an Excel file. With the help of AI, you can get the most out of Internet Archive.
Learn to harness the Internet Archive’s free digital library—a treasure trove of digitized family histories, city directories, census and church records—to enrich your genealogy research. Learn how to build complex prompts to build an index of surnames on a 400 page genealogy book from 1898. Learn how to extract a list of migration routes from the same book, organized by surname, then in generation order, and placed in an Excel file. With the help of AI, you can get the most out of Internet Archive.
Genealogy in Your Pocket: 5 Simple iPhone Tricks for Family History
Family history can happen when you least expect it: having coffee with your cousin, passing a commemorative plaque, or on the road. Here are 5 simple iPhone tricks to make sure you never miss an opportunity to break a brick wall.
Family history can happen when you least expect it: having coffee with your cousin, passing a commemorative plaque, or on the road. Here are 5 simple iPhone tricks to make sure you never miss an opportunity to break a brick wall.
Learn how to use artificial intelligence to help find important family information, understand old documents, and craft compelling family stories to support your family history research. This webinar will introduce you to the best uses of AI in genealogy today and give a peek behind the curtain of what genealogists can look forward to from AI advancements in 2026.
Learn how to use artificial intelligence to help find important family information, understand old documents, and craft compelling family stories to support your family history research. This webinar will introduce you to the best uses of AI in genealogy today and give a peek behind the curtain of what genealogists can look forward to from AI advancements in 2026.
Alcina Furkey’s birth name and her parents’ identities were unknown in 19C Vermont. Alcina had many forenames: Alcenia, Arsena, Christina, Elcena, Elena, Jane, Josephine, Julia, Lucy, and Reusta, and Rosanna. But none of them was her baptismal name. Reconstructing her birth family, together with a connection found in deeds and the clues in Catholic records, led to her real identity.
Alcina Furkey’s birth name and her parents’ identities were unknown in 19C Vermont. Alcina had many forenames: Alcenia, Arsena, Christina, Elcena, Elena, Jane, Josephine, Julia, Lucy, and Reusta, and Rosanna. But none of them was her baptismal name. Reconstructing her birth family, together with a connection found in deeds and the clues in Catholic records, led to her real identity.
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