Special Lecture Series

[タイトル／Title]

Web3経済の安全制御に向けて：数理基盤創出からのアプローチ

Towards Secure Governance of the Web3 Economy: A Mathematical Foundation Approach

[Presenter ／講師 ]

Akihiro Fujihara

Chiba Institute of Technology (Japan)

[日時／Date & Time]

July 18th  (Fri)  14:00-15:30 JST

[会場／Location]

7号館 情報3講義室 (1階 104) 

Lecture room 3 (room 104) in the 7th research building

[Abstract ／ アブスト]

近年，ブロックチェーン技術を基盤とするWeb3経済が急速に拡大し，金融，ゲーム，デジタルアートなど多様な分野で新たな経済活動の基盤として注目を集めている．一方，暗号資産のハッキングによる巨額損失，匿名SNSを介したフィッシング・投資・ロマンス等の詐欺での悪用，Pump&Dumpスキームなどによる意図的な価格操作や水増し取引の横行が深刻な課題となっている．暗号資産の利用者は，ハッキング被害や詐欺の存在を認識しながらも，様々なリスクやその対策について学び合う場や助け合う仕組みが十分に整備されておらず，孤立した取引環境が悪質な攻撃者にとっての格好の標的となっている．この状況を打破するために，これらの攻撃に対する脆弱性を低減し，安心・安全な経済活動を行うための仕組みについて考える．具体的には，暗号資産の価格変動や取引の「異常検知」，AIエージェント支援型の取引送信や利用者間での民主的な合意形成に基づく不正・異常取引の「抑制」，取引承認の待ち行列の「制御」の三つの柱からなるアイデアについて議論する．

In recent years, the Web3 economy, built upon blockchain technology, has been rapidly expanding, attracting attention as a new foundation for economic activity across diverse fields such as finance, gaming, and digital art. At the same time, serious challenges have emerged, including massive financial losses due to cryptocurrency hacks, the abuse of anonymous social media platforms for scams such as phishing, investment fraud, and romance scams, as well as rampant market manipulation through pump-and-dump schemes and wash trading. Although cryptocurrency users are aware of the risks of hacks and fraud, there remains a lack of well-developed platforms for sharing knowledge and support systems for risk mitigation. As a result, isolated trading environments have become prime targets for malicious actors. To address this situation, it is necessary to explore mechanisms that reduce vulnerabilities to such attacks and enable safe and secure economic activity. Specifically, we discuss an approach based on three key pillars: (1) anomaly detection in cryptocurrency price movements and transactions, (2) suppression of fraudulent or abnormal transactions through AI agent-assisted transaction submissions and democratic consensus among users, and (3) control of transaction approval queues.

[Bio ／ 略歴 ]

Dr. Akihiro Fujihara received a Doctor of Science degree from Yokohama City University in 2006. He is currently a Full Professor in the Department and Graduate School of Information and Communication Systems Engineering, Chiba Institute of Technology. He is a member of the IEEE and IEICE. He has authored or co-authored over 70 publications of research papers on stochastic processes, human mobility and communication behavior patterns, IoT, and blockchain. His recent research interests include blockchain interoperability and applications of blockchain technology to smart city services. He was a recipient of the IEEE COMPSAC Best Paper Award of 2014. He served as a guest associate editor for Frontiers in Blockchain. He also serves a technical committee on Information Network (IN) and Communication Quality (CQ) study groups of IEICE Communications Society.

[タイトル／Title]

Trust and Distrust in Technology: the case of internet voting

[Presenter ／講師 ]

David Duenas-Cid 

Kozminski University (Poland)

[日時／Date&Time]

May 23rd (Fri) 15:00:16:00 (45分程度の講演＋質疑）

[会場／Location]

7号館 情報3講義室 (1階 104) 

Lecture room 3 (room 104) in the 7th research building

[Abstract ／ アブスト]

This guest lecture will provide a theoretical framework for understanding trust and distrust in technology, exploring its roots and interactions. It will further exemplify this complex interaction by providing examples related to the use of internet voting, a critical technology for its political dimension, extracted from some selected cases approached in the Electrust project.

[Bio ／ 略歴 ]

David Duenas-Cid is an Associate Professor and Director of the Public Sector Data-Driven Technologies (Pub-Tech) Research Center at Kozminski University (Poland). His research is connected with Trust/Distrust and Digital Democracy. He is currently researching the processes of creating Trust and Distrust in Internet Voting and his research has been showcased at the European Commission scientific podcast CORDIScovery.　He is the president of the Thematic Group on Digital Sociology at the International Sociological Association, General Chair at the E-Vote-ID Conference, Program Chair at the Annual International Conference on Digital Government Research, Track Chair at Hawaii International Conference on System Sciences and Academic Editor at Internet Policy Review.

[タイトル／Title]

Upgrading Digital Governance Systems with AI

[Presenter ／講師 ]

Uwe Imre Serdült

Ritsumeikan University (Japan) and University of Zurich (Switzerland)

[日時／Date & Time]

Lecture: June 2nd (Mon) 10:00:11:00

The follow-up discussion will be held on June 2nd (Mon) from 11:00 to 12:00

[会場／Location]

7号館 情報2講義室 (1階 101)

Lecture room 2 (room 101) in the 7th research building

[Abstract ／ アブスト]

Digital governance tools are proliferating on all levels of government. They are promoted not only by UN organisations as a means to reach their sustainable development goals (SDG) but also as an efficient way to increase the general well-being, the sense of belonging and to receive feedback on their policies from the wisdom of the crowd. Among such tools of co-creation as an exchange between public administrations, parliaments and the general public, online petitions are becoming more popular lately, in particular on the local level in large urban areas. The design of online petition platforms can vary greatly regarding their consequentiality. However, as they become more popular, their operation tends to create an increased workload for the operators. In this talk, I will showcase how machine learning and natural language processing can be used to increase convenience for users of such systems and making them more efficient for the public administrators on the other hand as well

[Bio ／ 略歴 ]

Prof. Serdült has held a dual appointment since April 2017, serving as a professor at Ritsumeikan University, College of Information Science and Engineering, while continuing as Principal Investigator at the Centre for Democracy Studies Aarau (ZDA), University of Zurich. As of April 2024, he also leads the Digital Governance Systems Lab at Ritsumeikan.

His interdisciplinary research focuses on e-participation (digital platforms for citizen engagement) and e-government (tools for enhancing administrative transparency and deliberation). He has held teaching and research positions at ETH Zurich, University of Zurich, and University of Geneva, with visiting roles in Hungary, Austria, Poland, the USA, and Japan (Ritsumeikan and Waseda). In 2024–2025, he will serve as a Guest Professor at the University for Continuing Education Krems, Austria.

上野 史

岡山大学学術研究院環境生命自然科学学域　助教

[タイトル]

生きた人工知能と死んだ人工知能 〜不確実性と過酷な環境への挑戦〜

[日時]

5月9日（金）15時〜16時半

[会場]

7号館 情報3講義室 (1階 104)

[アブストラクト]

人工知能（AI）は、私たちの生活に深く浸透しつつあります。ChatGPTのように、人の言葉を理解し、応答するAIも登場しました。しかし、こうしたAIはあくまで人間の知能を「模倣」するものであり、「まやかし」と見なされることもあります。では、本当に人工知能はまやかしなのでしょうか？ 実は、研究においては「模倣」が極めて重要な意味を持ちます。私は、AIが苦手とする「不確実性」に対処する手段として、生物や人間の仕組みの模倣に注目しています。

本講義では、「生きた」人工知能とは何か、そして「死んだ」人工知能とは何か、という視点から、AIの限界とその克服に挑む研究について考察します。具体的には、ロボットにおける知覚エイリアシングの克服、複数船舶の経路最適化、そして月面着陸機の画像照合航法といった、極限環境におけるAIの可能性を探りながら、「模倣」がいかにしてAIを現実社会に適応させる鍵となるのかを、私の研究事例を通じて紹介します。

[略歴]

2015年 電気通信大学情報理工学部総合情報学科卒業。2017年 日本学術振興会特別研究員DC1採用。2020年 同大学大学院情報理工学研究科情報学専攻博士後期課程修了。博士（工学）。同年、岡山大学大学院自然科学研究科助教。2022年 オーストラリア連邦クイーンズランド工科大学 客員研究員。現在、岡山大学学術研究院環境生命自然科学学域 助教。2022年 計測自動制御学会2021年度学術奨励賞 研究奨励賞受賞。2023年 第19回ARG Webインテリジェンスとインタラクション研究会 優秀研究賞受賞。2024年 第20回同研究会 優秀研究賞受賞。2025年 第17回データ工学と情報マネジメントに関するフォーラム 株式会社LayerX賞（スポンサー賞）受賞。強化学習によるマルチエージェントシステムの分散協調制御の研究に従事。電子情報通信学会、日本ロボット学会、日本航空宇宙学会、IEEE、ACMなどの学会会員。

Speaker : 松尾 徳朗 (東京都立産業技術大学院大学　事業設計工学コース　教授)

Title : ホワイトスペース戦略による新事業創出

Date and Time: ４月１日（火）１３時～１４時

Place : 総合研究７号館　情報３

Abstract : 主として手がけるビジネス領域であるコアスペースに対して、隣接スペースでのビジネス展開は事業拡大において多くの企業が行なっている。一方で、隣接スペースからさらに離れた領域において既存の顧客もしくは新しい顧客のニーズを従来と根本的に異なる方法で満たすホワイトスペースでの挑戦はリスクが高いとされる。本講義では、ビジネスモデルの４つの要素、すなわち顧客価値提案、利益方程式、主要経営資源、主要業務プロセスとその特徴について概説する。また、演習を通じて、商品・サービスの差別化、アクセスの差別化、支払いスキームの差別化、商品・サービスの差別化の評価手法と新事業の発見手法について理解する。さらにビジネスモデル・イノベーションを起こした企業の事例についても紹介する。

Biography:  2006年 名古屋工業大学大学院修了。博士（工学）。山形大学大学院准教授（206-2012）、東京都立産業技術大学院大学教授（2012-現在）。カリフォルニア大学アーバイン校客員研究員（2010-2011）、セントラルミシガン大学SEITIリサーチフェロー（2010-2018）、名古屋工業大学プロジェクト教授（2011-2014、2015-2021）、上海大学客員研究員（2011-2013）、ビナ・ヌサンタラ大学客員教授（2015-現在）、ネバダ大学ラスベガス校客員教授（2016-2017）、澳門城市大学數據科學研究院招聘教授（2018-2020）、台湾亜州大学教授（2020-2022）、名古屋工業大学客員教授（2020-2022）、米国ソフトウェア工学研究基金副会長（2013-2018）、米国計算機情報科学会理事（2015-2020、うち2016-2017は副会長）、国際応用情報学研究機構理事長（2012-現在）、米国サムヒューストン州立大学客員教授（2024-現在）、日本政府観光局国際MICEアンバサダー（2016-現在）、熊本市MICEアンバサダー（2016-終身）、総務省地域情報化アドバイザ（2008-2017）など歴任。平成２３年度日本政府観光局（JNTO）国際会議誘致・貢献賞など受賞歴２０件以上。専門は、応用情報学、知能情報学、材料情報学、イベント観光学、コンベンションとイベントビジネス実務、MICE経営学。プロフェッショナルイベントプランナー兼プロデューサー。国際会議や海外の大学などでの基調講演や招待講演２００件以上、ドイツ・シュプリンガーなどから著書１０編以上、ジャーナル論文１００編以上、国際会議論文２００編以上がある。

[Presenter ／講師 ]

Dr. Loni Hagen

University of South Florida, USA

[タイトル／Title]

How can natural language processing and machine learning be used to measure the impact of a social media event?

[日時／Date&Time]

14:00 to 15:30, Friday, August 23rd, 2024.

[会場／Location]

総合研究7号館  情報3講義室 (1階 104)

7th Research Building, Lecture Room 3

[Abstract]

Social media plays an important role in disseminating information and can influence real-world outcomes such as elections. Measuring the impact of certain events on social media presents challenges for social scientists.

First, social media data needs to be more relaxed since social events often involve complex and multifaceted issues, making it difficult to isolate and measure the impact of specific interventions or communications. In addition, various social, economic, and environmental factors can obscure the direct effects of social media communications on particular events.

Second, there needs to be a universal set of metrics for measuring the impact of social media communications.

Third, even though some AI and machine learning methods can capture some potential impact, demonstrating the validity of these results remains a challenge. Despite technological advancements, questions persist about whether they contribute significant knowledge or generate incremental insights.

Based on current research, I aim to address these challenging questions.

[Biography]

Dr. Loni Hagen is an Associate Professor of Data Science at the University of South Florida's School of Information. She earned her Ph.D. in Information Science from the University at Albany, SUNY, and has over a decade of experience in various law enforcement roles in Korea, including as an e-government specialist at the Korean National Police Agency.

Her research explores the application of artificial intelligence and big data in social science and government decision-making, with interests in human-centered data science, social media, cybersecurity, public health crises, and data science education. Her work has been supported by the National Research Foundation of Korea and the Florida Center for Cybersecurity. Dr. Hagen has also served in leadership roles for international conferences and is a member of the Digital Government Society and the American Society for Information Science and Technology. She was awarded a Fulbright U.S. Scholar grant for 2024-2025 to research human supervision of artificial intelligence at the University of Tsukuba in Japan. She received her Master's degree from the University of Tokyo, Japan, in 2004.

[Presenter ／講師 ]

Peter Mantello, PhD

Professor, Media, Ethics and Technology

Ritsumeikan Asia Pacific University, Japan

[タイトル／Title]

Logistics of Inception: Understanding Subjectivity in the Age of Neuro-somatic Technologies

[Abstract ／ アブスト]

This talk explores subjective experience within technical environments offering sensorially and cognitively enhanced human agency. Inspired by Merleau-Ponty’s concept of ‘flesh’, it seeks to understand how neuro-somatic devices, location-aware tracking systems, machine learning and predictive algorithms reshape the nature of consciousness and phenomenal experience. Traditionally passive sites of human activity such as stores, automobiles, public transport, workplaces, and museums (to name a few) are transforming into data-intensive environments of actuation that create new forms of awareness, cognition, and agency. Some examples include neuromarketing strategies that deploy digital signage in order to influence individual with personalized recommendations based on a customer’s purchase history (Curran, 2023), in-cabin systems that advise drivers on safety suggestions based on their cognitive/affective state (Mishra et al., 2022), and museums offering customized generative AI art experiences to visitors based on their neurological and physiological responses (Kung, 2024). My talk asks to what degree are experiential qualities in these environments now pre-determined by bioinformational technologies, rather than being shaped by external experiences? How will human consciousness and subjective experience be altered by bioinformational technologies with which they are entangling ever deeper? In elucidating the phenomenology of subjective experience in the age of bioinformational environments, I consider the peripheral, micro-temporal, and pre-perceptual modality in which these technical systems cooperate with the cognitive nonconscious (Hansen 2015; Hayles 2017) before they channel forward insights into the high order consciousness of knowing subjects. Thus, as part of a longer sociotechnical continuum in the technical exteriorization of cognition and affect, the rise of Bioinformational technological spaces move us closer towards what Floridi (1999) calls ‘inforgs’.

[日時／Date&Time]

13:00 to 14:30, Thursday, January 30th, 2025.

[会場／Location]

総合研究7号館  情報3講義室 (1階 104)

7th Research Building, Lecture Room 3

[Bio ／ 略歴 ]

Dr. Peter Mantello is a Professor of Media Studies at Ritsumeikan Asia Pacific University in Japan. For the past seventeen years his research has examined the complex and multi-faceted intersection between technology, media and society. He has translated his previous career as an award-winning independent filmmaker, photographer and interactive media producer into his ongoing intellectual exploration of the various confluences between emerging technology and modern-day society.  With funding from the Japan Society for the Promotion of Science (JSPS) and the Japan Science and Technology (JST) he has studied, (i) the militarization of play through an empirical study of US military-sponsored video games and virtual reality exhibitions in the US; (ii) synergies and feedback loops between hyper-consumerism, popular culture and post 9/11 security practices; (iii) the aestheticization of extremist violence through social media artifacts such as memes, hashtags, and selfies; (iv) the temporal shifts in law enforcement due to the rise of algorithmic policing; and, (v) the cross-cultural implications of emotional AI in the UK and Japan. Currently, he is involved in an international collaboration with RWTH Aachen University, Kate Hamburger Kollge that examines comparatively emotional AI in the German and Japanese workplace.  He has authored dozens of articles in leading journals on the impact of emotional AI in various sectors of society, including the workplace. Over the past 15 years he has supervised  14 Masters students and 4 PhD students. 

[Title]

Dynamic Adaptation through Interactive Information Processing

[Presenter]

Torben Juul Andersen

Professor and Director

Global Strategic Responsiveness Initiative at the Copenhagen Business (CBS) in Denmark

[Bio]

Torben Juul Andersen is professor of Strategy and International Management and director of the Global Strategic Responsiveness Initiative at the Copenhagen Business (CBS) in Denmark. Before joining CBS, he taught strategy and financial economics at George Mason University and Johns Hopkins University in the United States. Torben previously held executive positions at Citibank, N.A., Citicorp Investment Bank Ltd., SDS Securities a/s, Unibank A/S, and PHB Hagler Bailly. He is an Honorary Fellow of the Institute of Risk Management (IRM) in London and holds an MSc. Economics (cand. polit.) degree from the University of Copenhagen, an MBA from McGill University, and a PhD from the University of North Carolina at Chapel Hill. His primary focus includes effective strategic response capabilities and resilient adaptation in the face of emergent risks, uncertain environmental conditions, and abrupt unpredictable events with potentially extreme outcomes that characterize the major societal challenges of our time.

[Abstract]

In this seminar professor Andersen will present the thinking and rationales behind the thesis of decision structure and information processing as the essential elements of effective adaptive social systems including organizations and societies. The presentation will be framed in the context of mounting requirements for adaptive capabilities in modern societies as we face increasingly turbulent and abrupt environmental conditions with potentially extreme outcomes.

There will be room for discussion and exchange of views and ideas.

[Date and Time]

14:00 to 15:30, Friday, March 8th, 2024.

[Venue]

[情報学研究科】［情報学研究科］7号館 情報3講義室 (1階 104)