Personnel Information

写真a

AOKI Takaaki


Title

Associate Professor

Field

Field of Data Science

Homepage URL

https://takaakiaokiwork.github.io/

Seeds

https://www.shiga-u.ac.jp/wp/wp-content/uploads/seeds17-2023-2.pdf

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Research Interests 【 display / non-display 】

  • Mathematical and geographical modelling

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Graduating School 【 display / non-display 】

  • Kyoto University， Graduate School of Science， Department of Physics

    University， 2007.01， Graduated

  • Kyoto University

    University， 2003.03， Graduated， Japan

  • Kyoto University， Faculty of Science， Faculty of Science

    University， 2001.03， Graduated， Japan

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Campus Career 【 display / non-display 】

  • Shiga University Faculty of Data science，Associate Professor， 2023.04 - Now

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Association Memberships 【 display / non-display 】

  • Japanese Society for Mathematical Biology

  • American Physical Society

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Research Areas 【 display / non-display 】

  • Informatics / Soft computing

  • Natural Science / Mathematical physics and fundamental theory of condensed matter physics

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Papers 【 display / non-display 】

  • Dynamics in Co-evolving Networks of Active Elements， Forma， vol.24 (1) (p.17 - 22) ， 2009.01, Takuma Tanaka, Takaaki AOKI, Toshio AOYAGI

    Research paper (scientific journal)， Single Author

  • Synchrony-induced attractor transition in cortical neural networks organized by spike-timing dependent plasticity， Journal of Robotics and Mechatronics， vol.19 (4) (p.409 - 415) ， 2007.05, Takaaki AOKI, Toshio AOYAGI

    DOI:10.20965/jrm.2007.p0409, Research paper (scientific journal)， Single Author

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Review Papers 【 display / non-display 】

  • Presenting experiments to students of the general physics for the humanities course in a hybrid face‐to‐face/online format， vol.19 (p.159 - 165) ， 2022.03

    , Single Author

  • 「 フクザツ ネットワーク ケンキュウ ノ サイゼンセン 」 トクシュウゴウ， THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS， vol.65 (5) (p.176 - 181) ， 2021, アオキ タカアキ

    , Single Author

  • Graph-based open-ended survey on concerns related to COVID-19， 日本物理学会講演概要集(CD-ROM)， vol.76 (1) ， 2021, 川本達郎, 青木高明, 上田路子

    , Single Author

  • Mathematical Geographical Modelling for Environmental Humanities， シミュレーション， vol.40 (2) (p.101 - 104) ， 2021, 青木高明

    , Single Author

  • How Education Majors View Changes to the Student Support Desk : A Questionnaire Survey， vol.16 (p.99 - 107) ， 2019.03

    , Single Author

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Presentations 【 display / non-display 】

  • ， 2024.03，2024.03.21， 移住者を引き付ける魅力とは？移住者流動のポテンシャル分析， Oral presentation (general)

  • ， 2024.02，2024.02.20， Where are livable cities by voting with migrants feet?， Oral presentation (general)

  • ， 2024.02，2024.02.17， 街と道ができる条件:イタリアのシミュレーションから， Oral presentation (general)

  • ， 2023.12，2023.12.10， Potential of migration flow: Which municipalities attract residents?， Oral presentation (general)

  • ， 2023.11，2023.11.25， GPS 位置情報分析におけるグリットサイズ推定法の開発と実証実験， Oral presentation (general)

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Research Grants & Projects 【 display / non-display 】

  • Grant-in-Aid for Transformative Research Areas (A)，2024

  • Grant-in-Aid for Scientific Research(C)，2024

  • Grant-in-Aid for Scientific Research(A)，2021.04 - 2026.03

  • Grant-in-Aid for Scientific Research(B)，2021.04 - 2024.03，Development of the analytical framework of human mobility networks，Collaboration in Japan

  • Challenging Research (Exploratory)，2018.06 - 2021.03，graph-based surveys

    Why did you become a scientist? You may have your own story, and such individual answer can be stimulating and informative. But, how do we summarise the answers from many people? This is a major scientific issue in open-ended surveys called coding. To perform statistical analysis, individual responses must be classified into several groups, capturing the underlying semantics that respondents expressed. This manual task can be difficult, subjective, and time-consuming, and this bottleneck has limited the utility of large-scale surveys.
    We proposed a network-based survey method in which responses are automatically classified in a statistically principled manner, and demonstrated it using a survey taken by graduates of a university. The method allows us to ask open-ended questions to large populations, such as ``What is the strongest point of our service?'' or ``Why did you buy this product?''. This would bring substantial benefits for society and industry.

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Media Coverage 【 display / non-display 】

  • 2022.07.24

  • 2022.07.16

  • 2022.07.15

  • 2022.07.14

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