MOTAI Ryoki

Affiliation

Faculty of International Social Sciences, Division of International Social Sciences

Job Title

Lecturer

Research Fields, Keywords

Bookkeeping, Accounting Informatics, Social Data Science, Machine Learning, Causal Inference

Mail Address

E-mail address

Related SDGs




ORCID  https://orcid.org/0000-0002-5703-2359

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The Best Research Achievement in Research Career 【 display / non-display 】

  • 【Published Thesis】 Cash-flow prediction model using graph neural networks and spatiotemporal information from double-entry bookkeeping data(2025 IEEE International Conference on Big Data (BigData))  2025.12

    【Published Thesis】 Generating synthetic journal-entry data using variational autoencoder(Intelligent Systems in Accounting, Finance and Management)  2025.03

    【Published Thesis】 Estimation of conditional average treatment effects on distributed confidential data(Expert Systems with Applications)  2026.01

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The Best Research Achievement in the last 5 years 【 display / non-display 】

  • 【Published Thesis】 Cash-flow prediction model using graph neural networks and spatiotemporal information from double-entry bookkeeping data(2025 IEEE International Conference on Big Data (BigData))  2025.12

    【Published Thesis】 Generating synthetic journal-entry data using variational autoencoder(Intelligent Systems in Accounting, Finance and Management)  2025.03

    【Published Thesis】 英文学術雑誌における近年の簿記研究(簿記研究)  2024.06

    【Published Thesis】 Estimation of conditional average treatment effects on distributed confidential data(Expert Systems with Applications)  2026.01

    【Published Thesis】 Collaborative causal inference on distributed data(Expert Systems with Applications)  2024.06

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Education 【 display / non-display 】

  • 2024.4
    -
    2026.3

    University of Tsukuba   Doctor Course   Completed

  • 2022.4
    -
    2024.3

    University of Tsukuba   Master Course   Completed

  • 2018.4
    -
    2022.3

    University of Tsukuba   Graduated

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Degree 【 display / non-display 】

  • Doctor of Philosophy in Policy and Planning Sciences - University of Tsukuba

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Campus Career 【 display / non-display 】

  • 2026.4
    　
    　

    Duty   Yokohama National UniversityFaculty of International Social Sciences   Division of International Social Sciences   Lecturer  

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External Career 【 display / non-display 】

  • 2025.4
    -
    2026.3

      Special researcher of the Japan Society for the Promotion of Science  

  • 2024.4
    -
    2026.3

     

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Academic Society Affiliations 【 display / non-display 】

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Research Areas 【 display / non-display 】

  • Humanities & Social Sciences / Accounting  / Management Accounting, Bookkeeping, Financial Statements Analysis

  • Informatics / Web and service informatics  / Social Data Science, Machine Learning, Causal Inference

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Research Career 【 display / non-display 】

  • 複式簿記データサイエンス

    Project Year： 2022.4 - 2027.3

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Thesis for a degree 【 display / non-display 】

  • 複式簿記データサイエンスの研究

    罇涼稀

    2025.3

    Doctoral Thesis   Single Work  

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Papers 【 display / non-display 】

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Review Papers 【 display / non-display 】

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Works 【 display / non-display 】

  • 変分オートエンコーダを使用して生成した合成仕訳データ

    罇涼稀，益子颯太，秦涼太，河又裕士，岡田幸彦

    2025.9

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    Work type：Database science   Location：筑波大学社会工学コモンズデータバンク  

    Other Link： https://commons.sk.tsukuba.ac.jp/data

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Grant-in-Aid for Scientific Research 【 display / non-display 】

  • 複式簿記データ解析の基盤研究

    Grant number：25KJ0671  2025.4 - 2027.3

    日本学術振興会  Grant-in-Aid for JSPS Fellows

    Investigator(s)：罇涼稀

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    Authorship：Principal investigator  Grant type：Competitive

    本研究の目的は，複式簿記とそれに基づく仕訳データ（複式簿記データ）が有する性質を活かして，経営組織の意思決定者に資する新たな会計情報を作成することである。具体的には，(a)複式簿記特有の性質といわれる勘定間のつながり（相互参照性）の構造が将来のキャッシュ・フロー予測に貢献するかを評価し，(b)前目的で構築した予測モデルをベースとして将来キャッシュ・フローを変化させる活動を解釈するための方法論を提案する。

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Presentations 【 display / non-display 】

  • Cash-flow prediction model using graph neural networks and spatiotemporal information from double-entry bookkeeping data

    Ryoki Motai,Masato Kamebuchi,Sora Watanabe,Ryo Matsumoto,Keiichi Azuma,Yukihiko Okada

    2025 IEEE International Conference on Big Data (BigData), INDUSTRIAL & Government Track  2025.12  IEEE

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    Event date： 2025.12

    Language：English   Presentation type：Oral presentation (general)  

    Venue：Macau SAR, China  

  • A reliable decision support framework for SME default prediction using uncertainty-aware bayesian GEV regression

    Kaito Terada,Keiji Abe,Toshihiko Takeda,Yuji Kawamata,Ryoki Motai,Yukihiko Okada

    2025 IEEE International Conference on Big Data (BigData)  2025.12  IEEE

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    Event date： 2025.12

    Language：English   Presentation type：Oral presentation (general)  

    Venue：Macau SAR, China  

  • Practical experiment of predicting cash flows with LSTM and double-entry bookkeeping data

    Ryoki Motai,Sota Mashiko,Masato Kamebuchi,Sora Watanabe,Ryo Matsumoto,Yukihiko Okada

    2024 IEEE International Conference on Big Data (BigData), INDUSTRIAL & Government Track, Poster Session  2024.12  IEEE

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    Event date： 2024.12

    Language：English   Presentation type：Poster presentation  

    Venue：Washington D. C.,USA  

  • 複式仕訳の特徴量化と時系列解析への応用

    罇涼稀

    日本経済会計学会第8回ワークショップ  2024.3  日本経済会計学会

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    Event date： 2024.3

    Language：Japanese   Presentation type：Oral presentation (general)  

    Venue：沖縄国際大学  

  • Does double-entry bookkeeping information generated using node2vec contribute to forecasting future performance?

    Ryoki Motai,Masato Kamebuchi,Sora Watanabe,Ryo Matsumoto,Yukihiko Okada

    2023 IEEE International Conference on Big Data (BigData), Workshop on Large-scale Data Utilization in Economics of Information and Management Sciences: Theory, Computation, and Experiment (BigEACPS'23)  2023.12  IEEE

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    Event date： 2023.12

    Language：English   Presentation type：Oral presentation (general)  

    Venue：Sorrento, Italy  

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Preferred joint research theme 【 display / non-display 】

  • Accounitng Informatics

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Charge of on-campus class subject 【 display / non-display 】

  • 2026   基礎ゼミナール

    College of Business Administration  Department of Business Administration

  • 2026   戦略会計論

    College of Business Administration  Department of Business Administration

  • 2026   経営学リテラシー

    College of Business Administration  Department of Business Administration

  • 2026   原価会計特論

    Faculty of International Social Sciences  Division of International Social Sciences

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Charge of off-campus class subject 【 display / non-display 】

  • 簿記原理

    2024.4 - 2026.3 Institution：神奈川大学

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    Level：Undergraduate (liberal arts) 

  • 経営分析の基礎

    2024.4 - 2026.3 Institution：神奈川大学

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    Level：Undergraduate (specialized) 

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Academic Activities 【 display / non-display 】

  • 税理士法人における複式簿記データサイエンス

    Role(s)： Other

    2023.4 - 2027.3

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    Type：Other 

  • 地域金融機関における共創型互助AIの開発

    Role(s)： Other

    2022.4 - 2026.3

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    Type：Other 

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