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Maximizing Genealogical Research with AI: Enhancing Your Research Process from Start to Finish
Attendees will discover how artificial intelligence acts as a powerful assistant throughout the genealogical research process. From formulating clear research questions to conclusion, AI tools can streamline the collection and organization of historical records. AI tools can offer suggestions for exploring new resources and help researchers uncover overlooked records or databases. By analyzing
existing data sets, AI can reveal patterns, generate new insights, and even propose alternative conclusions that researchers may not have initially considered. AI is not a substitute for human knowledge practical strategies to leverage AI for increase both the speed and depth of their research. Intended for all levels.
existing data sets, AI can reveal patterns, generate new insights, and even propose alternative conclusions that researchers may not have initially considered. AI is not a substitute for human knowledge practical strategies to leverage AI for increase both the speed and depth of their research. Intended for all levels.
Andrea Ackermann, M.S., M.H.A., is a professional genealogist with over 20 years of experience in genealogy with a strong emphasis on genetic genealogy. She specializes in using DNA evidence to resolve cases of unknown parentage and break through brick wall ancestors, blending advanced genetic techniques with traditional research. Her regional expertise includes the Midwestern United States and its immigrants. Andrea is a former leader of the Central Indiana DNA Interest Group and regularly lectures on genetic and traditional genealogy topics. She has completed advanced training through the Salt Lake Institute of Genealogy (SLIG), the Genealogical Research Institute of Pittsburgh (GRIP), and the ProGen Study Program. Andrea holds two master’s degrees.
Georgetown Peabody Library
2 Maple St
Georgetown, MA
This program is FREE and OPEN TO THE PUBLIC
For more information contact: merrimackvalley@msoginc.org
Those who wish to attend virtually, can pre-register at https://tinyurl.com/MVSEPT2025
Those who wish to attend virtually, can pre-register at https://tinyurl.com/MVSEPT2025