Data Science Seminar
2025-12-19 12:39:24

Okayama University Hosts Seminar on Causal Inference in Data Science

Seminar on Causal Inference at Okayama University



On December 24, 2025, Okayama University will host the tenth public research meeting of the EIPPE (Education Information Science and Practice) section at the Graduate School of Education. This seminar will dive deep into the principles of causal inference from observational data, focusing on its application in education and social sciences.

Event Overview



The EIPPE section aims to develop high-level expertise in the field of education data science, combining statistical skills with domain-specific knowledge. This initiative is crucial for nurturing specialists who can analyze educational data using various scientific methodologies.

This seminar is an excellent opportunity for students, educators, researchers, and anyone interested in the intersection of data science, education, and the humanities and social sciences, to come together and learn from each other.

Key Details of the Seminar:



  • - Date: December 24, 2025
  • - Time: 1:30 PM to 3:00 PM
  • - Location: Okayama University Tsushima Campus, Educational Faculty Lecture Building, Room 5206
(Address: 3-1-1 Tsushima-naka, Kita-ku, Okayama, 700-8530)
  • - Speaker: Associate Professor Koji Suzuki, Okayama University

Who Can Attend?



The seminar is open to everyone, including students, researchers, and the general public. There is no fee for attendance, but participants are required to register using the provided online form prior to the event.

Registration Link: Sign up here

Promoting Education Data Science



The seminar is part of a broader initiative by Okayama University, which is committed to pioneering the integration of education and data science. Funded by the Japanese Ministry of Education, Culture, Sports, Science, and Technology, this project addresses the complex challenges in human, societal, and cultural domains. The aim is to cultivate professionals capable of advancing educational methodologies through the lens of data science.

By facilitating discussions and workshops like these, Okayama University is not just laying the groundwork for a data-driven educational future but also takes pride in supporting global initiatives like the Sustainable Development Goals (SDGs).

The collaborative nature of this seminar reinforces Okayama University’s mission to bridge education with cutting-edge data science practices, promoting an interdisciplinary approach to educational research.

For more information about the EIPPE section, visit here. Additionally, event posters and promotional materials can be found here.

Conclusion



We invite all interested parties to participate in this insightful seminar. By joining this event, you will not only gain valuable knowledge about causal inference in education data science but also become part of a larger community aimed at innovating education through data.

For inquiries and further information, please contact the EIPPE section at Okoyama University via email: eippe◎okayama-u.ac.jp (replace ◎ with @).


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