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Akimichi Takemura
Shiga University / President
Speaker Bio
[Education]
Bachelor of Arts (Economics), March 1976, Faculty of Economics, Univ. of Tokyo.
Master of Arts (Statistics), March 1978, Faculty of Economics, Univ. of Tokyo.
Ph.D. (Statistics), September 1982, Department of Statistics, Stanford University.
[Employment History]
Acting Assistant Professor, Department of Statistics, Stanford University, September 1982 -- June 1983.
Visiting Assistant Professor, Department of Statistics, Purdue University, September 1983 -- May 1984.
Associate Professor, Faculty of Economics, Univ. of Tokyo, June 1984 -- March 1997.
Professor, Faculty of Economics, Univ. of Tokyo, April 1997 -- March2001.
Professor, Graduate School of Information Science and Technology, Univ. of Tokyo, April 2001 -- March 2016.
Professor, The Center for Data Science Education and Research, Shiga University, April 2016 -- March 2017.
Chair of Faculty of Data Science, Shiga University, April 2017 -- March 2022.
President, Shiga University, April 2022 – present
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Bachelor of Arts (Economics), March 1976, Faculty of Economics, Univ. of Tokyo.
Master of Arts (Statistics), March 1978, Faculty of Economics, Univ. of Tokyo.
Ph.D. (Statistics), September 1982, Department of Statistics, Stanford University.
[Employment History]
Acting Assistant Professor, Department of Statistics, Stanford University, September 1982 -- June 1983.
Visiting Assistant Professor, Department of Statistics, Purdue University, September 1983 -- May 1984.
Associate Professor, Faculty of Economics, Univ. of Tokyo, June 1984 -- March 1997.
Professor, Faculty of Economics, Univ. of Tokyo, April 1997 -- March2001.
Professor, Graduate School of Information Science and Technology, Univ. of Tokyo, April 2001 -- March 2016.
Professor, The Center for Data Science Education and Research, Shiga University, April 2016 -- March 2017.
Chair of Faculty of Data Science, Shiga University, April 2017 -- March 2022.
President, Shiga University, April 2022 – present
Session
Wednesday, 21 May, 2025 10:30 AM - 11:15 AM JST
Guest Keynote: Current status and challenges of developing data science talent through industry-academia collaboration
Akimichi Takemura,
Shiga University / President
Japan is lagging behind in the fields of Data Science (DS) and Artificial Intelligence (AI). To address this situation, universities are rapidly developing education in these areas, and companies are also advancing reskilling efforts for their workforce. University education in these fields requires more than just theoretical lectures; it is essential to incorporate Project-Based Learning (PBL) practices that solve real-world problems based on data. Industry-academia collaboration plays a critical role in such university education. Additionally, in terms of reskilling for professionals, in-house training in companies alone is insufficient, and collaboration with universities is effective. This presentation will discuss the current status and challenges of developing DS talent, based on experiences of industry-academia collaboration at the Faculty of Data Science of Shiga University.
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