Join us in April 23, 2025 at 16:00 UTC, for our webinar on “RAGs and LLMs: Turning AI into Real Intelligence for Public Opinion Research” with Matin Mirramezani, from Stanford University and Mosh Borouchov, from Cornell University. This webinar explores how Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) Models are transforming public opinion research. As the research landscape evolves with AI integration, this session aims to provide both practical insights and a new perspective on navigating this technological shift.
The session opens with an examination of how new technologies can enhance conventional survey research, spanning the whole research process. We then discuss the significant challenges posed by the proliferation of LLMs to established research practices, including circumventing fraud detection, AI-assisted responses, and developing appropriate quality standards.
Moving beyond surveys, the webinar investigates emerging opportunities where LLMs and RAG models offer unique advantages in analyzing other information sources and data collection methods. We’ll discuss how these new technologies will help researchers sort, index, and query large behavioral datasets, while comparing the strengths and limitations of these methods.
Participants will gain practical understanding of both the transformative potential and methodological considerations necessary for integrating new technologies responsibly into public opinion research. This webinar is valuable for researchers, methodologists, and practitioners seeking to navigate the evolving intersection of artificial intelligence and opinion research with both innovation and rigor.
Register to Attend the Webinar
Our panel of speakers are:
Matin Mirramezani is the co-founder and Chief Operating Officer of The Generation Lab, a data intelligence company focused on youth perspectives. Born and raised in Iran, Matin’s deep appreciation for Iranian literature, art, and politics stems from his upbringing. He pursued economics at Stanford University, graduating in 2024, and complemented his studies with a minor in Iranian Studies. During his time at Stanford, Matin collaborated with the Stanford Iran 2040 Project and co-authored “The Struggle for Development in Iran,” published by Stanford University Press in 2022. His professional interests encompass economic policy, international affairs, and social change, with a particular focus on innovative research methods and the application of new technologies to enhance public opinion research.
Moshe Borouchov is the co-founder and CEO of CivicSync, an AI-driven market research platform that creates digital replicas to simulate consumer behavior, offering businesses real-time insights into consumer trends. With over a decade of experience as a software engineer and five years as a product manager, Moshe has led interdisciplinary teams and promoted product innovation. He holds a degree from Cornell University and is based in the New York City Metropolitan Area. Under his leadership, CivicSync has collaborated with notable organizations, including Ogilvy Paris, to develop AI-powered tools that enhance qualitative research.