ISQOLS Webinar, "Machine Learning for Social Science: Expanding Methods Beyond Traditional Statistics"

When
1 Jul 2026
9:00 AM
Location
Online Webinar

Registration

Registrant
The webinar is free for all participants.

Register

ISQOLS Webinar, "Machine Learning for Social Science: Expanding Methods Beyond Traditional Statistics"

Presenter:Dr. Moshen Joshanloo

Wednesday, 1 July9:00 CEST/16:00 KST

Machine learning is increasingly recognized as a valuable methodological approach in the social sciences, yet its role relative to conventional statistical modeling remains insufficiently clear. This webinar offers a concise introduction to the core concepts of machine learning and explores what it can contribute beyond traditional approaches. It contrasts conventional statistical modeling, which is typically theory-driven and focused on hypothesis testing, with machine learning approaches that prioritize data-driven pattern discovery and predictive performance. Key differences in assumptions, model evaluation, and analytical goals are discussed, along with the ways in which machine learning can address complex data structures and uncover patterns that may not be readily captured by conventional methods. The webinar also considers how machine learning can be integrated into social science research and identifies the types of research questions for which it is particularly well suited.

The International Society for
Quality-of-Life Studies
(ISQOLS)

Address:
ISQOLS
P.O. Box 118
Gilbert, Arizona, 85299, USA

Email:
office@isqols.org

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