九州大学 研究者情報
発表一覧
寺本 振透(てらもと しんとう) データ更新日:2024.04.17

教授 /  法学研究院 国際関係法学部門


学会発表等
1. Shinto TERAMOTO, Addressing Challenges in Cross-Border Medical and Health Data Exchange, 2023 Digital Rule of Law and Smart Justice International Conference, 2023.10.
2. Shinto TERAMOTO, The Shortcomings of Using Metaphors Instead of Models
to Consider Regulations for AI-Backed Systems, including Autonomous Vehicles, 9th Annual World Congress of Advanced Materials-2023 (WCAM-2023 (Japan)), 2023.05, [URL], Many legal academics refer to the trolley problem when discussing potential regulations for AI-backed systems,
including autonomous vehicles. However, the use of this metaphor in this context is far from justified. The trolley
problem ignores the choices and responsibilities of any person other than the sole operator of the trolley. It
assumes only two alternatives - whether or not to sacrifice one person to save a larger number - despite the fact
that there are other people participating in the design and operation of a railway system, and there could be three
or more choices available to us. These deficiencies are easy to find. However, one of the most significant deficits,
which is often overlooked, is that the trolley problem assumes the railway system is fixed and unchangeable,
despite the fact the system is designed by humans and is expected to be continuously revised and improved. It is
understandable that people are inclined to use a metaphor, which is an imaginary and simplified narrative, because
it is difficult to enumerate all the individual conditions of a complex phenomenon that has not yet occurred.
However, using a metaphor is risky because there is no guarantee that such a metaphor and a phenomenon will
have substantial similarities. Nevertheless, using a metaphor is very likely to prevent us from noticing the material
difference between them. Using a model would be much more useful than a metaphor because we can easily see
which of the predictable conditions of a phenomenon are included and which are not..
3. Shinto TERAMOTO, What makes a firewall fail?, 2022 International Conference on Big Data and Artificial Intelligence (ICBDAI 2022), 2022.09, [URL], Building big data is essential to enable A.I. to augment lawyers, governments, physicians and public health experts.
Collecting individual cases, building big data consisting of them, and sharing such big data is essential to enable us, lawyers and governments, to design plausible laws, regulations or contracts, and practices thereunder.
Likewise, building and sharing big data consisting of medical and health records of individual patients is essential in medical science and practice, as well as design and implementation of public health policy.
A.I. is the abbreviation of both Artificial Intelligence and Augmented Intelligence. Lawyers and physicians often emphasize that the final decisions are to be made by themselves and prefer to use Augmented Intelligence. Likewise the lawyers and physicians, in order for A.I.s to become able to augment the considerations and decisions of lawyers and physicians, A.I.s have to learn big data.
Building big data is likely to conflict with the protection of sensitive or personal information.
Obviously, most of the raw records which are to be incorporated in big data contain sensitive or personal information.
In many jurisdictions, laws and regulations regulate the sharing of sensitive or personal information through multiple entities.
Also, laws often entitle individuals to demand the governments and private entities not to share their personal information with other entities.
In order to comply with laws and regulations, and to avoid liabilities to compensate for the damages suffered by the subject of sensitive or personal information, governmental and private entities install firewalls inside them.
By this way, we expect to prevent such information from incidental or intentional sharing with those who are not authorized to access.
Unfortunately, we often experience failure of a firewall and resulting data leak, irrespective of whether the individual nodes inside and outside the firewall are human or machine.
A firewall is designed to cut off the edge delivering sensitive or personal information from the nodes inside to the nodes outside the firewall.
However, friendships, comradeships, and other edges between them which are not intended to deliver sensitive or personal information remains or are newly established even after the firewall is installed.
It is very likely that an innocent edge may restore the cut off edge or may be shifted to a harmful edge, and make the firewall fail.
Presumably, the edges connecting between the individual nodes inside and outside of the firewall are one of the material causes which make the firewall fail.
However, assuming that developing and maintaining mutual ties are inherent characteristics of intelligent nodes, human or machine, it would not be practical to mitigate the problems caused by the edges connecting the nodes inside and outside the firewall.
Each of the nodes inside the firewall connected with one or more nodes outside the firewall is playing the role of a Point of Interface (“POI”).
Suppose that we can minimize the probability that individual POIs have pieces of information which are usable by or meaningful to the nodes outside the firewall.
Suppose also that a node outside the firewall has a scheme to access and utilize the pieces of sensitive or personal information maintained inside the firewall.
In order to realize his or her scheme, the node outside has to access as many nodes inside as possible, because individual nodes insides have only minimum pieces of information.
Or, in turn, the nodes outside having such a scheme have to cooperate with one another and aggregate the pieces of information which each of the nodes outside could collect from the nodes inside.
Both measures are likely to cost too much and make the said scheme impracticable.
Suppose that the quantity of the information held by individual POIs can be effectively regulated. It may enable us to reduce the probability of the failure of a firewall.
Also, we anticipate that the geometric structure of the network among the nodes inside the firewall may affect the quantity of the information held by individual POIs.
Under this assumption, we are examining networks of various geometric structures to find out which structure is likely to increase such quantity and which is likely to decrease it..
4. 寺本振透, 臨床研究における改正個人情報保護法について, 令和3年度 第2回 九州地区大学病院 臨床研究支援組織の在り方検討会, 2022.03.
5. 寺本振透, 医療・医学研究における「同意」は, 法律家が伝統的に想定してきた「同意」から自立できるか?, 第41回医療情報学連合大会(第22回日本医療情報学会学術大会), 2021.11.
6. 寺本 振透, 実務法律家の仕事と,数学的なモデル, マス・フォア・イノベーション卓越大学院キックオフシンポジウム, 2021.03.
7. 井上 悠輔、寺本 振透、米村 滋人, 健康医療データ 2 次利活用の同意に関する課題と実運用に向けて~Dynamic Consent、次世代医療基盤法、包括同意などに関するAMED事業(JAMI委託研究事業)の中間報告~, 令和2年度大学病院情報マネジメント部門連絡会議, 2021.01.
8. Shinto TERAMOTO, The reason why PHR service providers should establish internal firewalls, GKA TECHNO 2020 10th International Conference on Science, Technology and Society, 2020.10, [URL], PHR (Personal Health Records) recording personal health and medical data, and enabling citizens and their physicians to access and review past data, are expected to promote effective self-care and medical care. It is anticipated that private companies will enter the PHR service field. Also, PHR will be a rich source of information that will be useful for pharmaceutical, food and many other types of of industries providing consumer products and services. Accordingly, companies providing PHR-related services are likely to also wish to sell the big data derived from the PHR of citizens. Allowing private companies to collect and manage sensitive personal information is likely to be a cause for concern for citizens due to the risk of its accidental disclosure or its use for unintended purposes. Moreover, it is anticipated that citizens and PHR service providers will often have different views on whether a specific use of personal data is within the scope mutually agreed by both parties in advance. If such citizens’ concerns are not resolved, it will be difficult to encourage them to use PHR in everyday basis. By using a network model that denotes the mutual relationship between citizens and PHR service providers, the author suggests that citizens are concerned about the greater exposure to personal and business risks that they have to bear, relative to the risks borne by PHR service providers. Further, the author proposes that companies providing PHR services should establish a firewall that restricts the flow or exchange of information so that the PHR services are substantially independent and isolated from any other services provided by the same company. This proposal is justified on the ground that such firewall will mitigate the said disparity in exposure to risk between citizens and PHR service providers, which is also explained using a network model..
9. 寺本 振透, 法律家が数学者に助けを求める理由
Lawyers Seek the Help of Mathematicians, 九州大学マス・フォア・インダストリ研究所 IMIコロキウム, 2019.12, Our society can be represented by a network, which is also denoted by a matrix.The role of rules, including laws and contracts, is to intervene in society by means of connecting or disconnecting specific pairs of nodes belonging to such a network. Naturally, designing rules requires help and justification by utilizing the concept of a network or matrix.
Besides, rules often include measures to incentivize or disincentivize a party or a citizen to engage in or refrain from specific actions or behaviors. Lawyers drafting such rules often envision that non-linearly increasing or decreasing values are suitable for the purpose of such measures. However, such black-letter rules employ a stepwise change of values, and lawyers are often frustrated with the disparity between their vision and the resulting provisions, which could be mitigated with the help of mathematicians.
Thus,we,lawyers,seekthehelpof mathematicians..
10. Shinto TERAMOTO, Designing a Law to Promote the Sharing of Medical and Health Records:
Striking a Balance between Protection of Personal Information and Promotion of Healthcare
— Using a token to encourage citizens to utilize PHR, Ninth International Conference On Health, Wellness & Society, 2019.09, [URL], The digitalized medical and health records (HR) of citizens are stored in Electronic Health Records (EHR) and Personal Healthcare Records (PHR). The quality of medical care will be improved if physicians can access the past HR of patients. Also, redundant medical examinations will be avoided, which will result in medical cost savings. A user-friendly service that enables individual citizens to share their HR with their physicians is essential to achieve the aforementioned purpose. The involvement of private businesses is expected to make such service available to citizens. However, recently, many citizens have been frustrated with the collection and control of personal data by the giants of ICT industries, and, in response, governments are establishing rules to regulate collection and handling of personal data. In contrast, sharing HR on the infrastructure provided by private businesses presupposes that these private providers handle medical and health records that fall within the most delicate types of personal data. We have to design and implement laws that promote the sharing of HR while ensuring the protection of personal data. There are a number of issues that need the intervention of laws, to ensure the confidentiality, integrity, availability and portability of HR, compatibility between EHR and PHR, and between multiple PHRs, and to ensure the portability of records between a PHR service provided by one company and a PHR service provided by a different company. The author discusses and proposes the requirements of such laws and proposes a practicable legal design to promote the sharing of HR..
11. Shinto TERAMOTO, Re. Several Issues Concerning Secured Claims in An Insolvency Case by Prof. Nam-Geun YOON
Re. Legal interpretation of civil liability for accidents in self-driving mode of level 3 Autonomous car by Prof. Semin PARK, Kyushu University, Joint Seminar with Korea University, 2019.03.
12. 寺本振透, ImPACT「脳情報の可視化と制御による活力溢れる生活の実現」脳情報クラウドグループ最終報告会— 法務・倫理関係, ImPACT「脳情報の可視化と制御による活力溢れる生活の実現」脳情報クラウドグループ最終報告会, 2019.02.
13. Shinto TERAMOTO, Examples of Japanese FinTech Practices using ICT, Regulating FinTech in Asia Global Contexts, Local Perspectives, 2018.12.
14. Shinto TERAMOTO, "GDPRと情報信託の交錯" についてのコメント, "GDPRと情報信託の交錯" についてのコメント, 2018.12.
15. Shinto TERAMOTO, Designing a Smarter Law that Enables Smart Contracts that are Useful in Everyday Life, Emerging Legal Issues for Artificial Intelligence -- Legal Liability, Discrimination, Intellectual Property Rights and Beyond, 2018.11, Suppose that a supplier of goods or services and a consumer enter into a contract for goods or services. If the terms and conditions of the contract are prefixed by the supplier unilaterally and the choice of the consumer is just to accept or decline, it is very easy to implement an automatic contracting process for them. Everyday, we experience such simple and automated contracting processes when we ride on the subway and buses using IC cards.

However, in many cases, the terms that each of the parties to a contract deems acceptable in advance are very abstract and have some flexibility. Such anticipated terms may include the conditions most preferred by a party to those least preferred. There is no guarantee that the resulting contract will satisfy both parties. The terms and conditions of the contract to be executed are likely to have multiple alternatives. The finally decided terms just represent one of many possible alternatives. It would be difficult for such terms to completely satisfy both parties.

In order to make smart contracts widely implemented in our society, a system that automatically matches the terms and conditions of both parties to a contract (hereinafter, referred to as a smart contract platform) must be able to establish a contract with fair and reasonable terms and conditions that can satisfy both parties in such complex situation. The currently spreading use of Artificial Intelligence (A.I.) using deep learning is likely to make such a smart contract platform realistic.

However, suppose that both parties to a contract could have gone through a human to human negotiation, and that the final terms are not preferable or disadvantageous to one of the parties. Possibly, such disadvantaged parties would try to persuade themselves that such undesirable or disadvantageous results were caused by their or their agent’s incompetence. However, if such undesirable or disadvantageous terms are caused automatically by a smart contract platform, the disadvantaged party may feel great frustration because they can hardly find a reason to blame themselves. Also, it is possible for a smart contract platform to manipulate the terms of a contract by utilizing the very wide scope of acceptable terms prefixed by the consumer, thereby, giving an advantage to the supplier. Such manipulation will be deemed unfair, even though it does not necessarily constitute fraud. Moreover, if a smart contract platform is provided exclusively by one or a very limited number of companies, the platform may be programmed to be advantageous or disadvantageous to specific or specific categories of suppliers. For example, a smart contract platform used to enable electricity supply companies and consumers who want to quickly charge their electric vehicles (EVs) to contract automatically may be programmed to increase the probability that established and conventional electricity supply companies can contract with consumers within the scope of the terms prefixed by the consumers. It is also probable that a smart contract platform will apply different terms and conditions, such as by giving priority to contracts with consumers of certain electricity supply companies, and give advantages to some of them, and cause disadvantages to others.

The implementation of smart legal tools in the society is likely to require us to design legal tools such as the obligatory disclosure of an automatic contracting process, auditing or monitoring by a third party, and competition among multiple smart contract platform providers, to ensure a fair smart contracting process, and also to prevent misappropriation of smart contract platforms for unfair purposes. However, designing such legal tools is likely to cause another problem. A law must be enforced based on the evidence required by the law itself. If a smart contract platform is organized and operated by a fixed algorithm that does not change and update itself automatically, it would be plausible to prove that the platform was programmed by ab human to cause unfair results. However, suppose that an A.I. implemented in a smart contract platform keeps learning and constantly and incrementally updates itself. It is improbable that lawyers could prove that a smart contract platform producing unfair results was really programmed by a human to cause such results. To tackle such problems would also be the duty of lawyers..
16. Shinto TERAMOTO, Yuriko HAGA, The Essential Role of Objections from Outsiders in Improving the Quality of Information that is Curated and Disseminated by Websites, The RCSL-SDJ Conference ‘Law and Citizenship Beyond the States’, Lisbon, 10-13 September 2018, 2018.09, This paper discusses a practical way to improve the quality of information distributed by websites thatcurate and disseminate knowledge (hereinafter, “CCWs”, an abbreviation of Content CurationWebsites).It is reasonably considered that CCWs greatly contribute to enhancing citizens’ knowledge ofmedicine and healthcare, when CCWs disseminate correct and qualitative information (Teramoto, S.and Haga, Y., 2017, Informed Consent in Building Big Data in Healthcare:The Essential Role of Hubsin Curating and Disseminating Knowledge, RJSH Vol. 4, No. 2, July - December 2017, pp. 69-75).Unfortunately, the quality of information disseminated by CCWs is not necessarily guaranteed.However, obviously, the viability of prescreening such information is limited. If prescreening is toostrict, it is likely to hinder the dissemination of knowledge, while if it is too lax, it is likely to allowthe dissemination of low quality information.For the purpose of improving the quality of information disseminated by CCWs in a practical way, theauthors propose utilizing the objections or negative comments raised against such information byordinary citizens or professionals independent from the editors and distributors of CCWs. Also, theauthors propose that CCWs can contribute to improving the information disseminated by peer CCWsand/or Social Network Services (hereinafter, “SNSs”) by means of the curation and dissemination ofsuch objections or comments.The authors assesses the viability of these proposals from three perspectives -- (i) a social networkapplying graph theory; (ii) empirical discussion; and (iii) comparison with the legal practices utilizingobjections from citizens and industries to achieve better results. By these means, the authors foundthat curating and disseminating objections to existing disseminated information is viable in improvingthe quality of such information, and CCWs and SNSs are helpful in such activities..
17. 寺本振透, 深層学習を応用した技術に関する特許出願または特許の "記載要件" からみた脆弱性について, 西村高等法務研究所 "AI・知的財産法研究会" 第6回, 2018.09.
18. Shinto Teramoto, Lawyers’ views on autonomous driving, The 20th International Academy of Comparative Law, General Congress, 2018.07.
19. Shinto Teramoto, The Prevailing Attitude of Japanese Industry and Citizens - Emphasis on Energy Saving or Prevention of Climate Change" (April 5, 2018) reported at "Corporate Climate Litigation Roundtable: Relevance to the Japanese Legal and Regulatory Context" held at Kyushu University, Japan. , Corporate Climate Litigation Roundtable: Relevance to the Japanese Legal and Regulatory Context, 2018.04.
20. Shinto Teramoto, A Social Network Perspective to Designing a Law, 2018 IEDRC FUKUOKA CONFERENCES, 2018.03, Curation media plays an important role in diffusing medical and healthcare knowledge through the
society. However, curation media is sometimes harmful to the society when it distributes incorrect or
misleading information that is likely to cause unhealthy behavior. Lawyers are likely to recommend that
operators of curation media pre-screen the information that they curate and distribute. However, the ability of
pre-screening to prevent dissemination of harmful information is limited for various reasons. The speaker
proposes that negative comments or objections raised by third parties to such harmful information can be
useful to identify and correct incorrect or misleading information distributed by curation media. Further, from
a social network perspective, the speaker explains that such negative comments or objections should be
curated and re-distributed by another curation media. However, any discussion that totally depends on models
may deviate from reality, while analysis of reality without simplification may lead us to chaos. The speaker
suggests that social science and its application needs the collaboration of specialists both skilled in designing
and utilizing simple models and skilled in empirical studies..
21. Shinto TERAMOTO, A.I. for Medicare Requires a Change in Medical Device Regulation, Seminar on Artificial Intelligence and the Future of Law, 2018.01.
22. Teramoto, Shinto, The Role of a State as an Essential Part of Global Network Infrastructure, 2017 Intellectual Property Collaborative Innovation Forum, 2017.12.
23. Teramoto, Shinto, A.I. for Medicare Requires a Change in Medical Device Regulation, Special lecture at Nanjing University of Sciencce and Technology, 2017.12.
24. Teramoto, Shinto, Haga, Yuriko, Informed Consent in Building Big data in Healthcare: The Essential Role of Hubs in Curating and Disseminating Knowledge, ISSBRC 2017 conference, 2017.11.
25. Shinto Teramoto, How can the law promote a more diverse allocation of resources?, 6th International Conference on Government, Law and Culture, 2017.01.
26. Teramoto, Shinto, Shinto Teramoto, Designing a New Regulatory Scheme to Realize a Distributed Energy Supply, , The Seventh Asia-Pacific Innovation Conference, 2016.11.
27. Teramoto, Shinto, Who is best able to diffuse innovation?— Industry or Inventor? —, 2016 International Conference on Law, Patent, and technology (ICLPT 2016), 2016.01, [URL].
28. Teramoto, Shinto, Can a Non-Practicing Entity Promote Diffusion of Innovation?, 2016 Taiwan International Conference on Innovation and Management, 2016.01, Entities, that own and enforce patent rights against others, while not practicing patented inventions for themselves, are often called “Patent Trolls” and are hated or feared by established manufacturers and information, communication and telecom (ICT) service providers. However, the author questions whether it is justifiable to view these Non-Practicing Entities (NPEs) as greedy and evil.The suppliers of patent rights as commodities in the market include ventures that are backed by investors and creditors but unable to succeed in the marketplace, or license to or be acquired by established companies. The demand side includes established companies and ventures that have succeeded in the marketplace. Obviously, both of these supply and demand sides are generally considered as legitimate and fair players in the market. Their activities are not considered unhealthy or antisocial. Therefore, it does not seem appropriate to deem NPEs as evil and greedy players, considering the players intermediated by NPEs are viewed as ordinary players of a healthy market. The author proposes that we study the role of NPEs in the market and society without prejudice, and assess whether they contribute to promoting social welfare.It is understandable that established companies object to the practices of NPEs. However, NPEs help make the patents held by small or inactive entities visible to established companies through their activities including issuing warnings against alleged infringement, offering patent licenses, filing litigation, etc. Also, it is highly probable that any claims raised by NPEs can be resolved finally by paying them royalties or by purchasing the relevant patents. In this way, NPEs are intermediating the transfer of patent rights and/or the rights to practice the patented inventions from suppliers that have weak sales capabilities (namely, the assignors of patent rights to NPEs) to suppliers that have strong sales capabilities (namely, the possible licensees). Moreover, the author shows that such probability is completely practical through the empirical study of a Japanese venture that is recovering its past investment by means of licensing its patented inventions to multiple companies through NPEs. The author concludes that NPEs are not necessarily evil actors in the market and have considerable potential to promote diffusion of innovation..
29. Teramoto, Shinto, イノベーションのために知財視点で行うべきことは何か
— 知財政策がイノベーションを妨げないために —, 日本知財学会第13回年次学術研究発表会, 2015.12, [URL].
30. Teramoto, Shinto, イノベーションのために知財視点で行うべきことは何か
— 知財政策がイノベーションを妨げないために —, 日本知財学会第13回年次学術研究発表会, 2015.12, [URL].
31. Teramoto, Shinto, プロダクト・バイ・プロセス クレームに対する特許法と裁判所の姿勢を理解する, 秀和特許事務所 第13回知財ディスカッションセッション, 2015.10, [URL].
32. Teramoto, Shinto, Adjusting the strength of intellectual property rights to allow healthy competition,Istanbul, World Conference on Technology, Innovation and Entrepreneurship, 2015.05, The legal protection of a technology by means of patents and other intellectual property rights (“IPRs”) gives the right holder the power to exclude its competitors in the market where the products and/or services embodying such technology are diffused. Each supplier in the market faces the uncertainty of whether it can survive the competition. However, IPRs are likely to encourage the right holder to enter the market and become the forerunner, by alleviating such right holder’s uncertainty. It is likely that some of the followers, including local entrepreneurs in developing countries, may improve the forerunner’s technology and implement such improvements in better products or services. However, it is also probable that the IPRs of the forerunner will inhibit the further advancement of technologies and products or services, by obstructing the activities of the innovative followers in the market. The author assesses the degree of negative impact of the forerunner’s IPRs that inhibit any healthy competition between the forerunner and the followers by using a simple network model, which comprises of consumers and competing suppliers. Moreover, based on the analysis using the said network model, the author discusses how we can design an intellectual property
law scheme that can restrict the disadvantages caused by IPRs, while maintaining their advantage in encouraging entrepreneurs to enter the market. By means of a discussion using a network model that represents the specific aspects of the market, the author tries to assess the pros and cons of IPRs, especially in the markets of developing countries. The discussion suggests that the strength of IPRs should be adjusted to allow healthy competition between the forerunner and followers in order to give a reasonable degree of benefit to consumers..
33. Teramoto, Shinto, HOW THE LEGAL SYSTEM BENEFITS FROM SOCIAL SCIENCE, ICSSH 2015 : 2015 4th International Conference on Social Science and Humanity , 2015.04.
34. Teramoto, Shinto, Who is best able to diffuse innovation: Government, Academia, Industry, or the Inventor?, The 9th Annual Kyushu University Law Conference "Understanding Regulatory Choice and New Economic Zones", 2015.01.
35. Teramoto, Shinto, "Legal Regime and Practice of IP Security Rights in Japan", UNCITRAL - FSC - Dankook Univ. Joint Conference Challenges of Technology Finance for a Creative Economy - Practical Issues on Security Rights in Intellectual Property -, 2014.11.
36. Teramoto, Shinto, Simulating the impact of intellectual property rights on the innovation process, 11th International Conference on Innovation and Management, Vaasa, Finland, 2014.11, [URL].
37. Teramoto, Shinto, 「価値評価推進から価値向上推進へ」, 日本弁理士会知的財産価値評価推進センター設立10周年記念セミナー, 2014.10, [URL].
38. Teramoto, Shinto, 医療情報は誰のものか?:医療クラウドがトリガーを引く患者と医師の覚醒, 第42回日本放射線技術学会秋季学術大会, 2014.10, [URL].
39. Teramoto, Shinto, Ninomiya, Toshie, Instructional Design and Strategy for Legal Practice, 2014 3rd International Conference on Management and Education Innovation (ICMEI 2014), 2014.05.
40. Teramoto, Shinto, The Current Development of the Japanese e-Government Platform, 2014 International Cyber Law Seminar on Trustworthiness of The National e-ID in Accessing e-Public Services and Supporting e-Commerce, 2014.03.
41. 寺本 振透, What Makes Medical Records Safe in the Cloud?, 2014 Annual Kyushu University Law Conference: Social Capital, Networks, Law, 2014.02.
42. 寺本 振透, 「NPE vs. PE のゲームを観察する試み:どこに非効率があるのか?」, 日本知財学会 第11回年次学術研究発表会, 2013.11.
43. 寺本 振透, 「医療クラウドこそ社会の要 -- 法律家が考える One for All, All for One」, 医療クラウド推進コンソーシアム・第1回研究会, 2013.11.
44. 寺本 振透, 「社会ネットワーク分析の手法を応用して知的財産法の役割を評価する試み」, 知財学会分科会 ビジネスと知的資産・知財法研究分科会, 2013.10.
45. 寺本 振透, Paulius Jurčys, Back to the Future of Conflicts of Laws: Enhancing Interface through Mutual Trust, 5th Journal of Private International Law Conference, 2013.09, [URL].
46. 寺本 振透, Assessing the Role of Intellectual Property Laws from a Social Network Perspective, ARS '13 International Workshop "Networks in space and time: Models, Data collection and Applications", 2013.06, [URL].
47. Shinto Teramoto, "Social Network Analysis Applied in Legal Education", Korea University - Kyushu University Symposium, 2013.04.
48. 寺本振透, 「法制度と倫理は医療情報とどのように向き合ってきたか?」, ヘルスケア脳情報クラウド研究会/第2回研究会(株式会社NTTデータ経営研究所), 2013.03.
49. 寺本振透, 「図書館は、著作権法の期待に、どうやって応えるのか?」, 平成24年度 福岡県公共図書館等職員「中堅職員研修」, 2013.02.
50. Shinto Teramoto, "e-Governance of Japan -- From the perspective of e-healthcare", 2013 International Seminar on Cyber Law: Global Challenges to National E-Authentication, Discovery Kartika Plaza Hotel in Bali, Indonesia, 2013.01.
51. 寺本振透, 「"創造者" という評価」, 日本知財学会 第10回年次学術研究発表会 ビジネスと知的資産・知財法研究分科会セッション, 2012.12, [URL].
52. Shinto Teramoto, Desrezka Gunti Larasati, & Paulius Jurčys, Diversity of Distributed Music and Modern Telecommunication Technologies: A Network Perspective, Creative Media Days – Workshop Innovation & Diversity in the Media Economy, IBBT-SMIT, Vrije Universiteit Brussel, 2012.11, [URL], This paper adresses the debates surrounding the impact of the Internet and cloud computing technology to the activities in music industry, especially at the stage of music distribution and dissemination. Building upon the realistic observations concerning the ‘conventional’ as well as innovative music distribution business models, this paper provides for simulations and analysis using the social network approach. These simulations are used in order to assess how the goal of diversity of music could be achieved in innovative communication networks. The paper shows the essential role of intermediaries that are involved in facilitation of the diversity of music, innovation, as well as the system of music distribution and dissemination. At the final Chapter, this paper introduces some considerations concerning copyright as a legal tool used in constructing the music distribution and dissemination system..
53. 寺本振透, 「法制度は,クラウド・コンピューティングとどのようにつきあっていくべきか?」, 東京大学大学院情報学環「情報技術によるインフラ高度化」社会連携講座:第12回インフラ・イノベーション研究会・講演会, 2012.08.
54. 寺本振透, "Protect Network Neutrality against Intellectual Property Rights - A Legal and Social Network Perspective", 2012 International Conference on Knowledge, Culture and Society (Jeju Island, South Korea), 2012.06, [URL].
55. 寺本振透, 「クラウドが実現する持続可能な医療」, 第71回日本医学放射線学会総会 ランチョンセミナー(主催:株式会社ジェイマックシステム), 2012.04, [URL].
56. 寺本振透, 「遠隔画像診断:ガイドラインと法的問題」, 第71回日本医学放射線学会総会 教育講演1, 2012.04, [URL].
57. 寺本振透, 「起業者にとっての知的財産権ー特に特許権との関わりについて」, 京都大学医学研究科/知的財産経営学分野/アントレプレナーシップ, 2012.03.
58. 寺本振透・松尾義朋ほか, 「医療クラウドの理想的な活用〜東日本大震災から考える〜」, 第70回日本医学放射線学会総会WEB開催セミナー, 2012.03.
59. 寺本振透, 「遠隔画像診断に関する法的問題」, 日本放射線科科専門医会・医会(JCR)第25回ミッドウィンターセミナー, 2012.01.
60. 寺本振透, 「法とは何か? : 図書館における法の適用について」, 佐賀県公共図書館協議会第3回職員研修会, 2011.10.
61. 寺本振透, 「遠隔画像診断に関する法的問題」, 第47回日本医学放射線学会総会秋季大会教育講演, 2011.10.
62. 寺本振透, 「信託について」, 日本弁護士連合会夏季研修講演, 2011.07.
63. 寺本振透, 「医療情報管理への信託法的発想の導入」, 日本医療情報学会北海道支部 学術講演会, 2011.07.
64. 寺本振透, 「同意文書はインフォームド・コンセントの証憑か?」, 日本放射線科専門医会 第24回ミッドウィンターセミナー, 2011.01.
65. 寺本振透, 「医療の継続性と医療クラウド」, ジェイマックシステム株式会社およびイーサイト株式会社主催「画像診断ICTセミナー in OSAKA 2010」, 2010.12.
66. 寺本振透, 「パブリック・インフラストラクチャーとしてのクラウド・コンピューティング・サービス」, 第7回 デジタル・フォレンジック・コミュニティ 2010 in TOKYO, 2010.12.
67. 寺本振透, 「遠隔画像診断の法的問題」, 日本医学放射線学会秋季臨床大会, 2010.09.
68. 寺本振透, 「調達の持続可能性から見たオープンソースの妥当性」, LPI Japan 防衛省向けセミナー「オープンソースソフトウェアが与える防衛省様へのインパクトと人材育成」, 2010.09.
69. 寺本振透, 「知的財産権信託における受託者による管理処分権掌握の不完全さについて」, 信託法学会総会, 2009.06.

九大関連コンテンツ

pure2017年10月2日から、「九州大学研究者情報」を補完するデータベースとして、Elsevier社の「Pure」による研究業績の公開を開始しました。