Shinjo, Atsushi

写真a

Affiliation

Faculty of Environment and Information Studies (Shonan Fujisawa)

Position

Professor

E-mail Address

E-mail address

Profile 【 Display / hide

  • 1994年慶應義塾大学環境情報学部卒.1996年同大学院院政策・メディア研究科修士課程修了.2004年岐阜大学工学研究科博士後期課程修了.博士(工学). 1996年 IAMAS(岐阜県立国際情報科学芸術アカデミー)助手.同 講師,岐阜県情報技術顧問(兼務)を経て,2007年慶應義塾大学環境情報学部着任(現在、同教授).2012年より2017年まで,慶應義塾大学 医学部 兼担准教授を兼務. 2011年,内閣官房 番号制度推進管理補佐官,2012年 同 政府CIO補佐官,2014年 内閣官房 情報通信技術(IT)総合戦略室長代理 / 副政府CIOに着任(非常勤).現在に至る.この間,内閣府、内閣官房、経済産業省、総務省、農林水産省、文部科学省等の各省庁の委員を歴任.2011年には、東日本大震災復興構想会議 専門委員も務めた.

Career 【 Display / hide

  • 2014.12
    -
    Present

    Cabinet Secretariat, Government of Japan., Deputy Cheif Information Officer

  • 2018
    -
    Present

    The National Agriculture and Food Research Organization, 農業情報センター, 農業情報連携統括監

  • 2011.04
    -
    Present

    RIKEN, Visiting Senior Scientist

  • 2012.03
    -
    2017.03

    Keio University, School of Medicine, Associate Professor

  • 2012.08
    -
    2019.03

    内閣官房, 政府CIO補佐官

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Academic Background 【 Display / hide

  • 1994.03

    Keio University, Faculty of Environmental Information

    University, Graduated

  • 1996.03

    Keio University, Graduate School, Media and Governance

    Graduate School, Completed, Master's course

  • 2003.03

    Gifu University, Graduate School, Division of Engineering

    Graduate School, Completed, Doctoral course

Academic Degrees 【 Display / hide

  • 博士(工学), Gifu University, Coursework, 2003.03

 

Research Areas 【 Display / hide

  • Web informatics, Service informatics (Information Policy)

  • Agricultural environmental engineering/Agricultural information engineering (Agricultural Information Science)

  • Intelligent informatics (Artificial Intelligence )

  • Economic policy (National Strategy)

  • Life / Health / Medical informatics

Research Keywords 【 Display / hide

  • DigitalStrategy

  • Agri-Informatics

  • Expert Knowledge

  • Cyber Security

  • Care Informatics Service

 

Books 【 Display / hide

  • スマート農業―自動走行、ロボット技術、ICT・AIの利活用からデータ連携まで

    神成淳司, エヌ・ティー・エス, 2019.03

  • サービソロジーへの招待――価値共創によるサービス・イノベーション

    村上輝康・新井民夫・JST社会技術研究開発センター 編著, 東京大学出版会, 2017.06

    Scope: 第5章 共編者

  • ITと熟練農家の技で稼ぐ AI農業

    SHINJO Atsushi, 日経BP社, 2017.02

  • 計算不可能性を設計する : ITアーキテクトの未来への挑戦

    SHINJYOU Atsushi, ウェイツ, 2007.04

Papers 【 Display / hide

  • SARS-CoV-2 Disinfection of Air and Surface Contamination by TiO2 Photocatalyst-Mediated Damage to Viral Morphology, RNA, and Protein

    Ryosuke Matsuura , Chieh-Wen Lo , Satoshi Wada , Junichi Somei , Heihachiro Ochiai , Takeharu Murakami , Norihito Saito , Takayo Ogawa , Atsushi Shinjo , Yoshimi Benno , Masaru Nakagawa , Masami Takei,  Yoko Aida

    Viruses (Viruses)  13 ( 942 )  2021

    Research paper (scientific journal), Joint Work, Accepted

     View Summary

    SARS-CoV-2 is the causative agent of COVID-19, which is a global pandemic. SARS-CoV-2 is transmitted rapidly via contaminated surfaces and aerosols, emphasizing the importance of environmental disinfection to block the spread of virus. Ultraviolet C radiation and chemical compounds are effective for SARS-CoV-2 disinfection, but can only be applied in the absence of humans due to their toxicities. Therefore, development of disinfectants that can be applied in working spaces without evacuating people is needed. Here we showed that TiO2-mediated photocatalytic reaction inactivates SARS-CoV-2 in a time-dependent manner and decreases its infectivity by 99.9% after 20 min and 120 min of treatment in aerosol and liquid, respectively. The mechanistic effects of TiO2 photocatalyst on SARS-CoV-2 virion included decreased total observed virion count, increased virion size, and reduced particle surface spike structure, as determined by transmission electron microscopy. Damage to viral proteins and genome was further confirmed by western blotting and RT-qPCR, respectively. The multi-antiviral effects of TiO2-mediated photocatalytic reaction implies universal disinfection potential for different infectious agents. Notably, TiO2 has no adverse effects on human health, and therefore, TiO2-induced photocatalytic reaction is suitable for disinfection of SARS-CoV-2 and other emerging infectious disease-causing agents in human habitation.

  • UVC disinfects SARS-CoV-2 by induction of viral genome damage without apparent effects on viral morphology and proteins

    Lo C.W., Matsuura R., Iimura K., Wada S., Shinjo A., Benno Y., Nakagawa M., Takei M., Aida Y.

    Scientific Reports (Scientific Reports)  11 ( 1 ) 13804 2021.12

     View Summary

    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a pandemic threat worldwide and causes severe health and economic burdens. Contaminated environments, such as personal items and room surfaces, are considered to have virus transmission potential. Ultraviolet C (UVC) light has demonstrated germicidal ability and removes environmental contamination. UVC has inactivated SARS-CoV-2; however, the underlying mechanisms are not clear. It was confirmed here that UVC 253.7 nm, with a dose of 500 μW/cm2, completely inactivated SARS-CoV-2 in a time-dependent manner and reduced virus infectivity by 10–4.9-fold within 30 s. Immunoblotting analysis for viral spike and nucleocapsid proteins showed that UVC treatment did not damage viral proteins. The viral particle morphology remained intact even when the virus completely lost infectivity after UVC irradiation, as observed by transmission electronic microscopy. In contrast, UVC irradiation-induced genome damage was identified using the newly developed long reverse-transcription quantitative-polymerase chain reaction (RT-qPCR) assay, but not conventional RT-qPCR. The six developed long RT-PCR assays that covered the full-length viral genome clearly indicated a negative correlation between virus infectivity and UVC irradiation-induced genome damage (R2 ranging from 0.75 to 0.96). Altogether, these results provide evidence that UVC inactivates SARS-CoV-2 through the induction of viral genome damage.

  • Comprehensive Measurement and Comparison of Ionic Small Molecules Contained in <i>Citrus Unshiu </i>Marc. Using Metabolomic Analysis

    Hara Yusuke, Sugawara Ayaka, Cris Yamada Kosuke, Endo Keiko, Ashitani Sanae, Igarashi Kaori, Soga Tomoyoshi, Shinjo Atsushi, Kuroda Hiroki

    Nippon Shokuhin Kagaku Kogaku Kaishi (Japanese Society for Food Science and Technology)  67 ( 12 ) 499 - 513 2021

    Research paper (scientific journal), Joint Work, Except for reviews,  ISSN  1341027X

     View Summary

    <p>Few studies have comprehensively screened for ionic small molecules with high water-solubility in the traditional Japanese mandarin orange <i>Citrus unshiu </i>Marc. Here, we performed metabolomic analysis with capillary electrophoresis-mass spectrometry (CE-MS) to comprehensively identify and accumulate gross quantitative data for water-soluble components in the different varieties of 'Aoshima' and <i>'</i>Okitsu/Miyagawa Wase', according to grade and processing method. In this analysis, we focused on 151 components and showed the characteristic components related to each different variety and processing method, e.g., Met, Gly, and Asp in var. Wase; ornithine, putrescine, synephrine, and Gln in var. Aoshima; and pyroglutamate, GABA (<i>γ</i>-aminobutyric acid), and malonate in the juice of var. Aoshima. Furthermore, we conducted processing tests and identified components that were affected by squeezing or heating. These data represent basic data for further investigation of the metabolism of <i>C. unshiu </i>Marc. or chemical changes in their components due to external factors such as processing.</p>

  • Development of a National Integrated Agricultural Field Data Application Programming Interface (API) that Combines Field Polygons, Agricultural Field Pins, and Soil Map Data

    Shiomi Takehiro, Saito Takeshi, Ishihara Mitsunori, Wada Mitsuhiro, Hayashi Shigehiko, Fuchu Souichiro, Shinjo Atsushi

    Agricultural Information Research (Japanese Society of Agricultural Informatics)  30 ( 2 ) 35 - 44 2021

    ISSN  0916-9482

     View Summary

    <p>In this research, we proposed a national integrated agricultural field data API that combines field polygons, agricultural field pins, and soil map data. To improve the convenience of using agricultural field data as the foundation of agricultural production, we organized various data related to agriculture as well as current conditions and problems with the data collaboration platform WAGRI, which is commonly used in agriculture in Japan; we then created an integrated national agricultural field data API. Three types of data were targeted: field polygons, agricultural field pins, and soil maps. We tried to integrate the field pins and soil maps based on field polygons and were able to completely integrate 5,999,291 of the 31,591,036 basic data points, for a success rate of 19.0%. The remaining data could not be integrated because some data were missing and there were format differences, including the existence of multiple integration targets. To solve this problem, the rules for preparing the target agricultural data must be unified. API's output formats are GeoJSON and WebMapTileService (WMTS), which are standard formats in geographic information systems. We confirmed the API was more convenient to use because a user can obtain three data types in one request. To improve widespread use, we still need to speed up data integration and add a mechanism that can download many types of data at once.</p>

  • A novel agricultural skill learning support system and its deployment and evaluation

    Kusui D, Shimazu H, Suezawa K, Shinjo A

    Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018)     1020 - 1025 2018.07

    Joint Work, Except for reviews,  ISSN  9781538626337

     View Summary

    © 2018 IEEE. We propose an Agri-InfoScience platform which addresses the need for skill transfer in response to various food problems associated with global population growth. The platform consists of various tools and methods for collection, analysis and reconstruction of information. The agricultural skill learning support system is the central tool of the platforms. This system serves to address the issues pertaining to the acquisition of 'master craftsmanship.' We conducted an experiment using kiwi pruning operations as an example of a skill that takes a few years to acquire to verify the effectiveness of the learning support system.

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Research Projects of Competitive Funds, etc. 【 Display / hide

  • 戦略的イノベーション創造プログラム(SIP)(次世代農林水産業創造技術)

    2017
    -
    2018

    農業・食品産業技術総合研究機構生物系特定産業技術研究支援センター, Principal Investigator

  • 研究開発成果実装支援プログラム 「被介護者の状態から得られる情報に基づく質の高い介護サービス支援システムの実装」

    2016
    -
    2019

    科学技術振興機構, Principal Investigator

  • 施設園芸復興コンソーシアム 施設園芸栽培の省力化・高品質化実証研究委託事業

    2011
    -
    2018

    農業・食品産業技術総合研究機構, Principal Investigator

  • 知的財産活用ビジネスモデル構築事業(農業IT知的財産活用実証事業)

    2015.07
    -
    2016.03

    農林水産省, Commissioned research, Principal Investigator

  • グリーン社会ICTライフインフラ「温暖化に対応した地域農業の検討」

    2010.04
    -
    2015.03

    Grant-in-Aid for Scientific Research, Research grant

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Intellectual Property Rights, etc. 【 Display / hide

  • レーザー走査型生体内特定物質量計測方法

    Application No.: 2011-276295  2011.12 

    Announcement No.: 2013-126443  2013.06 

    Patent, Joint, National application

  • 作物栽培装置および作物栽培装置用端末

    Application No.: 特願2008-199718  2008.08 

    Announcement No.: 特開2010-35452  2010.02 

    Patent, Joint

 

Courses Taught 【 Display / hide

  • WORKSHOPS ON FUTURE VISION

    2021

  • TOTAL DESIGN OF PRIVATE AND PUBLIC PROFITS 2

    2021

  • TOTAL DESIGN OF PRIVATE AND PUBLIC PROFITS 1

    2021

  • SEMINAR A

    2021

  • MASTER SEMINAR

    2021

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Social Activities 【 Display / hide

  • Goverment Dupty Chief Information Officer, Government of Japan

    2014
    -
    Present
  • Executive Advisor to the Government CIO, Cabinet Secretariat, Government of Japan

    2012.08
    -
    2019.03
  • 日本政府 東日本大震災復興構想会議

    2011.04
    -
    2012.03
  • 日本政府 情報保全システムに関する有識者会議

    2010.11
    -
    2012.03
  • 内閣官房 情報連携基盤技術ワーキンググループ

    2011.01
    -
    2012.03

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Memberships in Academic Societies 【 Display / hide

  • (社)人工知能学会, 

    2010.04
    -
    2013.03
  • 日本VR学会, 

    2007.04
    -
    2010.03

Committee Experiences 【 Display / hide

  • 2011.04
    -
    2012.03

    専門委員, 日本政府 東日本大震災復興構想会議

  • 2010.11
    -
    2012.03

    構成員, 日本政府 情報保全システムに関する有識者会議

  • 2011.01
    -
    2012.03

    委員, 内閣官房 情報連携基盤技術ワーキンググループ

  • 2010.09
    -
    2012.03

    構成員, 内閣官房 医療情報化に関するタスクフォース

  • 2011.06
    -
    2012.03

    技術審査専門員, 文部科学省 ICTの活用による生涯学習支援事業

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