Next-generation factor models for social data science｜2026b003

[Date]:2026/07/27～2026/07/28

CATEGORY:Events

TAG: International Workshop (I)

Overview

How to hold: Hybrid(Zoom Webinar)
Venue: IMI conferenceroom(W1-D-414), West Zone 1, Ito campus, Kyushu University
Main language: English
Type/Category: Grant for International Project Research-Workshop (I)
Title of Research Project: Next-generation factor models for social data science
Principal Investigator: Gabriel Wallin（School of Mathematical Sciences – Lancaster University・Lecturer/Assistant Professor)
Research Period: July 27, 2026. – July 28, 2026.
Open to the Public: July 27, 2026. – July 28, 2026.
Details of the Research Plan: https://joint2.imi.kyushu-u.ac.jp/en_research_chooses/view/2026b003

Program

July 27, 2026.

10:15 – 11:15

Kohei Adachi (Kyoto Women’s University)”
“Title: Hierarchical Relations Among the Procedures in Factor Analysis and Principal Component Analysis”

11:15 – 11:45

Kei Hirose (Kyushu University)
Title: Penalized Likelihood Factor Analysis”

11:45 – 13:00

Lunch

13:00 – 14:00

Benjamin Poignard (Keio University),
Title: Sparse Factor Models of High Dimension”

14:00 – 14:30

Jasmine Burgess (Lancaster University),
Title: Mixed-Resolution Spatial Latent Variable Models for Mapping Deprivation”

14:30 – 15:00

Refreshment break

15:00 – 16:00

Gabriel Wallin (Lancaster University)
Title: Measurement Bias for Asymmetric Categorical Factor Models”

July 28, 2026.

10:15 – 11:15

Michio Yamamoto (University of Osaka),
Title: Causal Inference for Functional Data with Unobserved Structures

11:15 – 11:45

Yutaro Kabata (Kagoshima University)
Title: Approaching problems in statistics via singularity theory

11:45 – 13:00 Lunch

13:00 – 14:00

Ryoya Fukasaku (Kyushu University),
Title: On the Efficient Application of Algebraic Structures in Mathematical Statistical Models

14:00 – 14:30

Yawen Ma (Lancaster University),
Title: Sequential Change Point Detection for Continuous Adaptive Online Testing

14:30 – 15:00 Refreshment break

15:00 – 15:30

Motonori Oka (London School of Economics and Political Science)
Title: Interpretable Scaling for Large-Scale Educational Assessment via Multilevel Latent Regression IRT with Variable Selection

15:30 – 16:00 Concluding Remarks

Registration

Advance registration is required.
Free participation fee.
(Registration also requires Organizing Committee members and speakers.)
Registration may be closed when the number of participants reaches the maximum.

＼Please go to the following link for registration.／

Registration Form

Poster

Participants via Zoom (online)

For online or hybrid (online+face to face) meeting via Zoom

We will send a Zoom link to those who register approximately one week before the event.

About Zoom

If you have not downloaded the Zoom application yet, please download it (https://zoom.us) in advance.
https://zoom.us/download#client_4meeting

How to install it on your computer or smartphone.
https://zoom.nissho-ele.co.jp/blog/manual/zoom-install.html

Contact

・Joint Research Center for Advanced and Fundamental Mathematics-for-Industry, Institute of Mathematics for Industry, Kyushu University
imikyoten(at)jimu.kyushu-u.ac.jp

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