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 AI in genealogy writing, especially for projects that are meant for accreditation or professional certification. They stress the importance of originality and caution against claiming AI-generated work as one’s own, citing ethical guidelines that discourage taking credit for others’ contributions, including those made by AI.
Nicole created this summary with ChatGPT 4.
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Transcript
Nicole (0s):
This is Research Like a Pro episode 310 Disclosing use of AI in Genealogy Writing. Welcome to Research Like a Pro a Genealogy Podcast about taking your research to the next level, hosted by Nicole Dyer and Diana Elder accredited genealogy professional. Diana and Nicole are the mother-daughter team at FamilyLocket.com and the authors of Research Like a Pro A Genealogist Guide. With Robin Wirthlin they also co-authored the companion volume, Research Like a Pro with DNA. Join Diana and Nicole as they discuss how to stay organized, make progress in their research and solve difficult cases. Let’s go.
Nicole (39s):
Today’s episode is sponsored by Newspapers.com. Well hi to all of our Research Like a Pros.
Diana (47s):
Hi Nicole. How, are you doing today?
Nicole (50s):
I’m great How about you?
Diana (52s):
I am doing well and I’m feeling so accomplished because yesterday I sat down and I spent four hours writing my research up all my Cline research. I got it into a draft and it’s almost done except for I need to add some DNA parts to it, so it’s going to take a little bit longer. But, you know what the hardest thing was with writing that report? What it was consolidating the first two reports for my background information because I wanted to give enough of the background so people could understand what was going on with this case, but man, trying to take two full reports and put ’em into like a page or two of background is really hard.
Nicole (1m 31s):
That sounds like a good use for AI.
Diana (1m 37s):
Okay, well maybe I should have tried that actually, maybe I’ll try that today and see what it gives me.
Nicole (1m 42s):
You should compare the results because that’s one of the really strong points of chatbots like ChatGPT is taking a document and providing a summary of it.
Diana (1m 53s):
Summary. Oh my goodness. You know what, and here I am working so hard on trying to get just the appropriate things in there. Okay. I’m definitely gonna try that and use that for comparison because that will be really fun to see what it can come up with.
Nicole (2m 7s):
Yeah,
Diana (2m 7s):
Interesting.
Nicole (2m 8s):
That’ll be fun.
Diana (2m 9s):
Well, what have you been working on?
Nicole (2m 12s):
Oh, my KDP for my certification portfolio. Just been working so hard on it, ordering lots of records, getting ready for a research trip that I’m taking, so I’m just gung-ho on it right now.
Diana (2m 23s):
That is so fun to get deep into a research project and I know you’ve sent me a few messages that you’re finding some newspaper articles about our ancestors and now you’re having to start to learn a little bit about Indian territory records because they moved up to Oklahoma when it was still Indian territory.
Nicole (2m 41s):
Yeah, I’m really enjoying the locality research for this because it’s a little different, but there’s a lot of records out there. They’re just not in the usual places,
Diana (2m 50s):
Right? It is very different. Well, I’m excited to see what you’re going to discover and to read your KDP once you’ve turned it in.
Nicole (2m 58s):
I know. I’m excited for you to read it.
Diana (3m 1s):
Well, let’s do some announcements. we have our Airtable Guides available on our website as PDF downloads. We have the Airtable research logs for genealogy, the quick reference second edition, and tracking DNA matches with Airtable. So if you’ve been struggling with Airtable, these guides really are very helpful in just walking you through all the different features. And then we are excited for our next Research Like a Pro Webinar Series offering, and that will be by our friend and colleague Mark Thompson. He is a graduate of the Research Like a Pro of DNA study group and author of the blog Making Family History. And his title is Who is Grace Brown’s Mother?
Diana (3m 44s):
This lecture is about confirming Anne Hayes as the biological mother of Grace Brown, and it will be a three generation study tracing a matrilineal line back to the great great grandmother Grace Brown. Grace was born in England and died in Massachusetts. So topics there will be England and DNA. Our next Research Like a Pro study group begins August, 2024, and we are very excited for that. I always love choosing a new research objective for these study groups and I haven’t decided what I’m going to do yet, but it’s going to be, it’s gonna be a good one. And then we have our AI workshop, which will be held July 29th to August 1st. And if you’d like to register for that, make sure you check our website.
Diana (4m 28s):
There may be a few spots left for that. We have coupons for our study groups, for our courses. So join the newsletter so you get all of the information about our deals. And then upcoming conferences. We are looking forward to the Professional Management Conference. This is put on by the Association of Professional Genealogists, and this will be a virtual conference and it will be held September 19th through the 21st.
Nicole (4m 58s):
It’ll be fun to participate virtually. Today we’re talking about artificial intelligence and how it can assist us with our writing. The question often comes up if we use an artificial intelligence chat bot to help us with writing. Is that allowed? Do we need to disclose that we’ve used it and how would we cite that? So all of these questions, I really wanted to find the answer to. So I did quite a bit of research a month or two ago and just tried to decide how I felt about it and and I found a lot of information out there. And in using the chat bots myself for different writing projects and different tasks, I’ve kind of come to a few different ideas of what I think would be good to do.
Nicole (5m 43s):
And so I’m excited to share those today. There’s a blog post you can reference that I wrote called Disclosing the Use of AI for Writing Assistance in Genealogy. And we’ll be doing this in two episodes. So we’ll be covering that blog post. This episode will be the first part of that. So this is kind of a new frontier using AI chatbots for creating written content. The last year or so, it’s, it really just burst on the scene and everyone’s trying to figure out, you know, all the schools and things are trying to figure out how will we allow this or not allow this, and what rules and regulations will we put in place? And all of us people who are reading content out there often think to ourselves, wait a second, was this written by AI or by a human?
Nicole (6m 28s):
So all of those things cause us to have some uncertainties and unknowns. And organizations that once prohibited the use of large language models for research papers are now allowing them as long as authors are fact checking the output and attempting to cite potentially copyrighted materials that are included in the output. For example, in 2023, the International Conference on Machine Learning prohibited the use of large language models or LLMs in their call for papers. But then in 2024, they are allowing them as a general purpose writing assist tool, but they warn that authors should take full responsibility for the contents of their papers, including content that could be construed as plagiarism or fabrication of facts.
Nicole (7m 18s):
So this conference suggests that large language models are not eligible for authorship. So we’ll talk a little bit about some of these issues. So the answer to the question, is it okay to use AI to help with our genealogy writing? It might depend on the audience and the use of your written product and whether or not you’re going to publish it in genealogy. Sometimes we might publish in a society’s newsletter or a journal, periodical and Editors of those journals or periodicals may have policies about the use of artificial intelligence, generative text models. So we need to be aware of the any policies like that if we plan to publish.
Diana (8m 2s):
That is such a good point that maybe there are two different ways to look at this if we’re just writing our own research report or if we’re going to submit a case study to a journal. So I love that idea of really thinking about our audience and the use of our written product. Well, I think that this is coming to the forefront for schools everywhere and universities and colleges because we all know back in college you had to write a lot of papers and it wasn’t always fun. It wasn’t always easy. And so let’s talk about this idea of students using AI chatbots. So students really need to consider if their teachers or professors will allow the use of AI in their writing.
Diana (8m 45s):
So say for instance, if a student is learning how to write an essay, you know that whole idea of taking your thoughts and getting those down on paper or on the computer screen, then it’s defeating the purpose of the writing assignment to use AI. And if the student is taking a test or having their writing abilities evaluated, then using an AI chat bot is probably cheating,
Nicole (9m 8s):
Right? That’s so clear to see that like my 13-year-old who has a lot of writing assignments, he’s learning how to write that he shouldn’t use AI tools to write his essay for him. I asked his school what their policy was and they said they don’t allow students to use it in the school, but they aren’t giving any policy yet on whether or not students can use it at home. But I think the teachers are telling them, you have to write this yourself and not use AI to write this, obviously.
Diana (9m 35s):
Yeah, it really does defeat the purpose because there is something about learning how to put words together and it takes practice and you just don’t do it naturally usually. Yeah,
Nicole (9m 44s):
It’s a skill to be learned. Well, what about genealogy writing that is being evaluated? So you went through accreditation. If you’re writing a three generation report for accreditation, would you want that to be written by an AI chat bot?
Diana (10m 1s):
Absolutely not. I treasure my report for accreditation because I sweated over every single word and phrase and sentence and and paragraph. And I have used AI to do some writing and I don’t really particularly like the way that it comes out as well as when I write it myself. So yeah, I would definitely not use it for the actual writing. Now maybe there’s some portions of it that it could help with, but not for putting it all together myself.
Nicole (10m 29s):
Right. And especially where that writing is being evaluated and the judges think that you wrote it, if you had an AI chat bot generate part of it for you and didn’t disclose it or even did disclose it, they might not accept that because they want you to write it. Or maybe you’re working on certification like I am. BCG asks that portfolios are the applicant’s own work and not reviewed by anyone. So if a large language model generates much of the text for your portfolio, then it’s not your own work anymore. And so it’s something to think about if you’re doing writing for ICAPGen with their accreditation program or with BCG doing certification.
Nicole (11m 13s):
As far as I know, BCG, they had an article in their recent Onboard about AI tools and at the end of it mentioned that they don’t have a policy about it.
Diana (11m 22s):
Hmm. and ICAPGen does not have a policy either yet. And you know one of the things with accreditation is that four generation report is your first step, but then you have your exams and the final exam is writing a report yourself in a four hour project. And so if you have not had some practice and really honed your skills on writing a report, it’s going to be really difficult to write a report in that four hour final project. So you know you’re going to be tested on your skills and I think part of the value of writing a report or, you know, your KDP, your Kinship Determination Project, is learning the skills to write and get your ideas out there.
Diana (12m 6s):
Genealogy is not necessarily easy to write about, and so you really have to practice and learn how to do that. And so chatbot would really you know, erase that skill that you’re going to learn.
Nicole (12m 19s):
Right. Yes.
Diana (12m 19s):
Well, let’s talk about taking credit. And we have genealogy standard number 62 that states we should not assume credit for others’ words and ideas. So because AI chatbots are not human and cannot be authors or contributors, the question still arises. Do you need to give the AI chatbot credit for contributing words and ideas to our writing? Well, Mohammad Hosseini, David B Resnik and Kristi Holmes, the authors of the Ethics of Disclosing the Use of Artificial Intelligence Tools in Writing Scholarly. Manuscripts say that if you don’t give credit to the LLM or large language model, you’re claiming credit for work you did not do.
Diana (13m 1s):
And Elizabeth Shown Mills says, when we use generative AI to create text prompted images or narratives, the same expectations exist. We do not take credit for what we did not create.
Nicole (13m 13s):
Right? So it’s tricky because do we give credit to the artificial intelligence which isn’t an author because it’s not human or not? Well, it sounds like we can’t take credit for other THINGS work either, right? So we, we shouldn’t take credit for it as our own writing, but then we still have to figure out how do we let people know that it’s not our writing? And that’s the question that really got me started with researching this is how do you give credit to it? Because clearly we shouldn’t take credit for it, we didn’t do it ourselves. And at the same time, do we even want to take credit for it? Because like you said earlier, often the text that’s generated sounds weird to us.
Nicole (13m 56s):
It doesn’t sound like our own style.
Diana (13m 58s):
Yeah. So then I think we have to decide how much of that initial offering that AI gave us, do we actually end up using or are we changing it so much it just becomes our own work again and we use it as something to get us started.
Nicole (14m 13s):
Yes, that’s so true. and I think that’s how a lot of people are using AI tools right now is as a pre-writing tool to help them brainstorm and outline and come up with some ways to say things. And then they take some of those words, put them in their own sentences and create their own paragraph, right? So if you do that, how do you decide that? How do you disclose that,
Diana (14m 37s):
Right? This is complicated,
Nicole (14m 37s):
Right? It’s kind of like you’re talking over your writing project with a friend, then you write it yourself. Do you cite that you talked about it with your friend? Probably not.
Diana (14m 46s):
Or if you had someone edit your work, do you cite them as an editor? I don’t think I have ever cited anyone as an editor who’s looked over my work and given me suggestions.
Nicole (14m 57s):
Right? And then sometimes in the NGSQ articles you’ll see like a list of acknowledgements on the first footnote section that talks about these people helped edit or whatever. so it just kind of depends on the publication or the venue that you’re going to be sharing your work. I guess if you will include if you had somebody edit it.
Diana (15m 17s):
Yeah, that’s a good point.
Nicole (15m 19s):
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Diana (16m 22s):
Thank you. Let’s talk about this idea of genealogy writing commissioned by ourselves. So most of the time Genealogists are not writing for teachers, except if you are in a family history degree program like through Brigham Young University or a certification course like you are in. Usually as Genealogists, we are writing in order to keep track of what we’ve found. Perhaps you want to share a report with a family member or preserve family information for future generations. I know that I am often just writing a report to myself, So I, understand what my project held and make conclusions and bring everything together.
Diana (17m 6s):
And sometimes we want to post our report online or put a proof argument out there when we feel like we have proved a relationship. and I have often put these out on family search or uploaded them to Ancestry. So these reports to ourselves and proof arguments posted for the information of others are not commissioned by clients or being tested by anyone. So the use of artificial intelligence, generative text models for these is probably fine. Provided we’re giving the models the information we want them to use instead of asking them to come up with information on their own. So for example, I’m writing a research report right now, I’ve done all the research myself.
Diana (17m 47s):
If I’m having AI help me to put together a paragraph perhaps about a census and all the information in that, then that probably is okay.
Nicole (17m 58s):
Yeah, agreed. And just an aside that you mentioned I was in a certification course, but I’m not, I’m just working on my certification independently. I don’t want people to be confused, but there are certification courses for genealogy out there that give you a certificate.
Diana (18m 14s):
I see the difference because those are getting graded and yours will be rated eventually, but just a different format,
Nicole (18m 20s):
Right? It’s just not a course. So that’s confusing. Yeah, I know a lot of people get confused about that. Like Boston University, they have a certificate course, right?
Diana (18m 30s):
Yes, I think so. And isn’t the one through the National Genealogists Society? I think they’ve got some kind of a a course that perhaps you get a certificate for, but don’t quote me.
Nicole (18m 42s):
Yeah. So it’s just the difference between becoming a certified genealogist and getting a certificate from a course anyway, just I know there’s people out there who probably thought, what is that? And now I’m now I, just letting you know.
Diana (18m 53s):
And I’m glad you brought that up because I have had people say, well, I have a certificate and now I’m a certified genealogist, and I said, well, You know, did you go through the Board for Certification of Genealogists? And they’ll say, no, we just completed a course. So there is confusion. So it’s good to clarify that. Yeah.
Nicole (19m 14s):
Well what you said about writing for ourselves is really helpful to kind of distinguish, you know, when we write something for ourselves or to be posted online or for those in the future, then of course that’s okay to use AI tools and we would just probably want to mention that we’ve used them. Well what about genealogy writing commissioned by others when we’re writing client reports or maybe a handout or syllabus material for a society and things like that. Then a writing is commissioned by a client or another group and they’ve asked us to create the research report or syllabus because of our qualifications and skills in writing and in genealogy and our personality skills and experience give our writing a unique style and tone.
Nicole (19m 58s):
Flip side, large language models have their own style and tone and some of them can be described as generic and robotic or flowery and extra wordy. So if we hand over the creation of our client reports and syllabus materials to the AI chat bot, then our unique authorship knowledge style and tone can be lost.
Diana (20m 16s):
That is so true. and I think that we’re getting better at recognizing when someone has used AI to create some writing. I know at first I didn’t really notice it. Now I look at it and I think, oh, that was AI that wrote that, because, you know I’ve had enough experience with having it write things for me, So I think there’s really something to be said for that personal style. So let’s talk about this idea of authenticity and personal style. So these LLMs can be trained to use our own style, but they still cannot be experts to the level that we have become experts in our area. So in talking about writing, we have to be careful that when we use an AI chat bot, it’s not watering down our expertise or causing our unique style and tone to be lost.
Diana (21m 3s):
It’s so important for us to review our any of this writing generated to make sure that it reflects our unique experience and knowledge that we’ve developed over time. We can also use prompts or GPTs that we have trained in our style.
Nicole (21m 21s):
Right? So that’s one of the things that ChatGPT allows you to do is create your own personal GPT and if you train it and tell it with these special instructions that it’s supposed to always remember, it might be better at following your own style. And so that’s something that we can all try. Well, I was writing a video description for one of our videos for our YouTube channel and I often will use ChatGPT to help summarize the videos from the transcript of the video. So when we record on Zoom, there’s a transcript, or when I upload it to Vimeo, there’s a transcript generated. So I can take that transcript and upload it to Claude by Anthropic, which allows uploaded files and ask it to generate a summary.
Nicole (22m 9s):
So one time I was doing this and I uploaded the video transcript and said, write a summary of this. I went back and forth with the chat bot to refine the summary. First I asked for the summary to be more concise and as a result some of the specific details that were important for the description were stripped out and it just kind of had general statements. So that’s not how I would’ve written it. I always like to include some specific details about like the tools that are covered in the video and the specific methods that we’re talking about. And the title of this particular video was Documenting Lines of Dissent from a Most Recent Common Ancestor to a DNA Match.
Nicole (22m 55s):
So the oversimplified very concise description that was generated by ChatGPT says, “this video is from the Research Like a Pro question and answer series,” so that was good, “and talks about how to show family connections using DNA tests.” So that was very generic and broad. “It explains why it’s important to keep good records of family history, especially when using DNA.” So that also is just extremely generic. “The video uses examples to show how to make your family tree research believable and accurate by including proper evidence. It stresses that good evidence is key to understanding family links through DNA.” So you can tell that that was just really not very good at all. It really doesn’t let you know anything about what the video is about other than it’s about family history, you know and DNA tests
Diana (23m 45s):
Basically taking the same idea and restating it four different times. Exactly. With different words.
Nicole (23m 51s):
Yes. Well I liked that it was simple and not long, but it was so watered down that it didn’t accurately describe the video’s contents. So if I had written it myself, it would’ve been much more specific with suggestions and methods we talked about in the video. So I went ahead and refined the paragraph through additional prompting of the chat bot and said, gimme specific examples of tools and methods used. And then I fixed the first sentence to include that the documenting is not just family connections in general. I wanted it to say this is specifically about when you’re documenting the line from a DNA match to the common ancestral couple. So the final result was a little bit longer, but I think it’s better because it talks about exactly what the video is and isn’t just a very high level generic thing for like a 4-year-old.
Nicole (24m 47s):
Yes, I’m going to talk about family connections You know.
Diana (24m 50s):
Alright, well should I read what you actually came up with?
Nicole (24m 54s):
Sure.
Diana (24m 54s):
We can see how much better it is. So, which it’s much better. “In this presentation from the Research Like a Pro DNA study group, Diana Elder AG, talks about how to document family connections from DNA matches up to the most recent common ancestral couple. She explains the need for proof arguments and tables to show these connections clearly. Like in Nicole’s study on Barsheba Tharp Dyer. Diana points out that showing parent child links requires a lot of documentation. She suggests, including this information in reports or appendices to manage the large amount of data. She also mentions using Ancestry trees or the researcher’s website to share these documents, which helps save space and makes it easier for readers to see the evidence.
Diana (25m 39s):
Diana emphasizes the importance of solid evidence in making genealogical research believable and trustworthy.”
Nicole (25m 46s):
So you can see some of that was preserved. and I didn’t write this all myself. I did still have the chat bot write it. I just edited the first sentence and told it to include specific examples.
Diana (25m 56s):
Yeah, that was much better.
Nicole (25m 57s):
Yeah, so you can get it to do what you want. You just have to give it really good instructions. And so if my original instructions had been more than summarize this, it probably would’ve done better. So it’s kind of a mix of like your own getting used to providing clear instructions and prompts as well as checking it and making sure it sounds the way you want. And then doing any final edits. Well, I wanted to share an example from a history professor at St. Mary’s University. She had a blog post about her experiment using AI tools to edit sentences and paragraphs. And she found that if she didn’t provide careful oversight, some meaning was lost. And she said she’s very wordy and so she wanted the tool to help make her sentences less wordy, but she found sometimes that some of the important meaning would be lost when that happened.
Nicole (26m 47s):
So she had to be careful not to just submit her whole paragraph or her whole paper and then say, make this more concise or less wordy because she needed to review each sentence to make sure no meaning was lost. So I think the idea there in her blog post was that AI can be a very patient and thorough editor rather than like a one and done tool where you just upload a rough draft and then get a perfect final draft as your output.
Diana (27m 12s):
Hmm, that’s a really great idea. If you want it to just rewrite something a little bit more simple, I guess you would just get better and better at using your prompts and teaching it what you want it to do.
Nicole (27m 23s):
Exactly. And I think that’s where the 20 hours of experience comes in. When we were in the Steve Little course with NGS, he mentioned that a few times that the first 20 hours of playing with the chatbot is kind of like your learning curve. And once you’ve gone over the 20 hours, you’ll start to feel a lot more comfortable with knowing how to use it and how to get the output that you want. So it’s just a matter of practice and being able to describe what you want your writing to be like. And sometimes we don’t know how to describe it, we just know how it sounds. And that’s actually a good point that you can provide examples to the chat bot and that can really help it to undergo the machine learning that it needs to in order to give us what we want.
Diana (28m 9s):
Well, this has been such a fun discussion. I think that AI is fascinating and sometimes I think we don’t wanna bother with it because it’s too much work to learn how to use it appropriately. But it’s like anything in genealogy, we just have to reach out and start learning and practicing. And then I’m sure down the road we’ll think how did we ever live without AI? Because it has helped us so much and we’ve just learned how to use it. So thank you for writing this blog post and doing all the research to bring things together. And I’m excited for the next episode where we talk even more about AI and using it in our genealogy.
Nicole (28m 48s):
Right. In the next episode, we’re going to talk about how to actually acknowledge if we’ve used it and when we need to do that and how to cite it. So we kind of brought up all the issues of of that this time and kind of went over, you know when is it okay to use it, and then next time we’ll talk about disclosing it and how to cite it.
Diana (29m 8s):
All right. Well thanks everyone for listening and we will talk to you next time. Bye-Bye
Nicole (29m 13s):
Bye-Bye Thank you for listening. We hope that something you heard today will help you make progress in your research. If you want to learn more, purchase our books, Research Like a Pro and Research Like a Pro with DNA on Amazon.com and other booksellers. You can also register for our online courses or study groups of the same names. Learn more at FamilyLocket.com/services. To share your progress and ask questions, join our private Facebook group by sending us your book receipt or joining our courses to get updates in your email inbox each Monday, subscribe to our newsletter at FamilyLocket.com/newsletter. Please subscribe, rate and review our podcast. We read each review and are so thankful for them. We hope you’ll start now to Research Like a Pro.
Links
Disclosing Use of AI for Writing Assistance in Genealogy – https://familylocket.com/disclosing-use-of-ai-for-writing-assistance-in-genealogy/
Program Chairs for the International Conference on Machine Learning, “ICML 2024,” icml.cc, 2024, https://icml.cc/Conferences/2024/CallForPapers. See also Program Chairs for the International Conference on Machine Learning, “International Conference on Machine Learning (ICML) 2023,” icml.cc, 2023, https://icml.cc/Conferences/2023/llm-policy.
Mohammad Hosseini, David B Resnik, and Kristi Holmes, “The Ethics of Disclosing the Use of Artificial Intelligence Tools in Writing Scholarly Manuscripts,” Research Ethics 19, no. 4 (June 15, 2023): 449–65, https://doi.org/10.1177/17470161231180449.
Gregory E Kaebnick et al., “Editors’ Statement on the Responsible Use of Generative AI Technologies in Scholarly Journal Publishing,” Hastings Center Report 53, no. 5 (September 1, 2023): 3–6, https://doi.org/10.1002/hast.1507.
Lindsey Passenger Wieck, “Revising Historical Writing Using Generative AI: An Editorial Experiment,” www.historians.org, August 15, 2023, https://www.historians.org/research-and-publications/perspectives-on-history/summer-2023/revising-historical-writing-using-generative-ai-an-editorial-experiment.
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Research Like a Pro Resources
Airtable Universe – Nicole’s Airtable Templates – https://www.airtable.com/universe/creator/usrsBSDhwHyLNnP4O/nicole-dyer
Airtable Research Logs Quick Reference – by Nicole Dyer – https://familylocket.com/product/airtable-research-logs-for-genealogy-quick-reference/
Research Like a Pro: A Genealogist’s Guide book by Diana Elder with Nicole Dyer on Amazon.com – https://amzn.to/2x0ku3d
14-Day Research Like a Pro Challenge Workbook – digital – https://familylocket.com/product/14-day-research-like-a-pro-challenge-workbook-digital-only/ and spiral bound – https://familylocket.com/product/14-day-research-like-a-pro-challenge-workbook-spiral-bound/
Research Like a Pro Webinar Series 2024 – monthly case study webinars including documentary evidence and many with DNA evidence – https://familylocket.com/product/research-like-a-pro-webinar-series-2024/
Research Like a Pro eCourse – independent study course – https://familylocket.com/product/research-like-a-pro-e-course/
RLP Study Group – upcoming group and email notification list – https://familylocket.com/services/research-like-a-pro-study-group/
Research Like a Pro with DNA Resources
Research Like a Pro with DNA: A Genealogist’s Guide to Finding and Confirming Ancestors with DNA Evidence book by Diana Elder, Nicole Dyer, and Robin Wirthlin – https://amzn.to/3gn0hKx
Research Like a Pro with DNA eCourse – independent study course – https://familylocket.com/product/research-like-a-pro-with-dna-ecourse/
RLP with DNA Study Group – upcoming group and email notification list – https://familylocket.com/services/research-like-a-pro-with-dna-study-group/
Thank you
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