Hello Ruopeng,
I wish I could attend your talk tomorrow but I’ll be traveling. I’d like to
learn this topic from you!
And see you soon in Savannah. I have some update to share with you when we see
each other!
Best,
Hsien-Chang
From: aahb-bounce@xxxxxxxxxxxxx <aahb-bounce@xxxxxxxxxxxxx> on behalf of An
Ruopeng <dmarc-noreply@xxxxxxxxxxxxx>
Date: Monday, April 8, 2024 at 6:49 AM
To: aahb@xxxxxxxxxxxxx <aahb@xxxxxxxxxxxxx>
Subject: [External] [aahb] Talk Tomorrow: Reimagining Qualitative Research with
Generative AI
This message was sent from a non-IU address. Please exercise caution when
clicking links or opening attachments from external sources.
Dear AAHB Colleagues,
You are warmly invited to attend my talk via Zoom tomorrow, in which you will
learn state-of-the-art ways to perform qualitative data analysis (e.g.,
transcripts from interviews and focus groups, social media posts) using large
language models.
The talk is scheduled for tomorrow, April 9 (Tuesday) at 12:30 PM (Central Time
Zone). Registration ends today, so hurry up if you want to attend!
Registration link:
https://wustl.zoom.us/webinar/register/WN_5reaBhA2RIufMNcIHFnesg#/registration
I look forward to seeing all of you there! Also, feel free to spread the word
and everyone is welcome to attend!
Sincerely yours,
Ruopeng
Reimagining Qualitative Research with Generative AI
Join us for a transformative exploration to unravel the conventional boundaries
of qualitative research through the lens of generative AI technologies.
Discover how traditional methods like word count, cluster analysis, and
sentiment analysis are being revolutionized by the capabilities of generative
AI. With real-world examples and a focus on practical application, this talk
will illustrate how AI is not just augmenting but fundamentally transforming
the way we analyze and interpret qualitative data.
Dr. An will demonstrate the power of Large Language Models (LLMs) like GPT-4 in
qualitative research, showcasing their potential to enhance scalability,
accuracy, and contextual understanding. Through a series of case studies
involving real-world examples, you'll witness first-hand the versatility and
depth of AI-assisted qualitative analysis across various stages of research.
The barriers to qualitative data analysis are well known – it's laborious,
time-consuming, and fraught with challenges. This talk will reveal how
generative AI can overcome these hurdles, providing insights into our unique
4-step approach for synthesizing and integrating themes from qualitative data.
You'll learn how AI can not only support but elevate the qualitative research
process, from data chunking and theme extraction to synthesis at both
participant and study levels.
But what sets this talk apart is its critical approach. Dr. An will discuss the
evaluation of AI-generated themes, emphasizing the importance of alignment with
researcher-identified themes and the necessity for high-quality, contextually
relevant outputs. This nuanced examination underlines our commitment to not
just leveraging AI for efficiency but also ensuring it meets the highest
standards of qualitative research.
Don't miss this chance to be at the forefront of a qualitative research
revolution. Join us and let's explore together how generative AI can redefine
the narratives of qualitative inquiry.
Ruopeng An, Ph.D., MPP, FACE, FAAHB (pronouns: he/him/his)
Associate Professor
Faculty Lead in Public Health Sciences, Brown School
Faculty Fellow for AI Innovations in Education
Founding Chair: Artificial Intelligence & Big Data Analytics for Public Health
(AIBDA) Certificate<https://brownschool.wustl.edu/academics/aibda-certificate/>
Founding Chair: Artificial Intelligence Applications for Health Data Advanced
Learning
Certificate<https://brownschool.wustl.edu/resources-initiatives/advanced-learning-certificate/artificial-intelligence-applications-for-health-data/>
Brown School & Division of Computational & Data Sciences
Washington University in St. Louis
314-935-3202 | Goldfarb 229g | ruopeng@xxxxxxxxx<mailto:ruopeng@xxxxxxxxx>
New Book: Supercharge Your Research Productivity With ChatGPT: A Practical
Guide<https://a.co/d/6Y7C5G0>
