Foundation of CS-DC e-Laboratory: Open Systems Exploration for Ecosystems Leveraging View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017

AUTHORS

Masatoshi Funabashi , Peter Hanappe , Takashi Isozaki , AnneMarie Maes , Takahiro Sasaki , Luc Steels , Kaoru Yoshida

ABSTRACT

We established a Complex Systems Digital Campus (CS-DC) e-laboratory “Open Systems Exploration for Ecosystems Leveraging” in view of redesigning sustainable social-ecological systems related to food production ranging over food, health, community, economy, and environment. 6 projects have begun to collaborate in e-laboratory, namely Synecoculture, P2P Food Lab, Open Systems Data Analytics, The Bee Laboratory, Open Systems Simulation and One-Health Food Lab. As a transversal methodology we apply open systems science to deepen scientific understanding and for a continuous amelioration of the management. The projects involve scientists, engineers, artists, citizens and are open to collaboration inside and outside of the e-laboratory. This article summarizes foundational principles of these projects and reports initial steps in operation. More... »

PAGES

351-374

Book

TITLE

First Complex Systems Digital Campus World E-Conference 2015

ISBN

978-3-319-45900-4
978-3-319-45901-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-45901-1_37

DOI

http://dx.doi.org/10.1007/978-3-319-45901-1_37

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036755845


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sony Computer Science Laboratories", 
          "id": "https://www.grid.ac/institutes/grid.452725.3", 
          "name": [
            "Sony Computer Science Laboratories Inc., 3-14-13, Higahi-Gotanda Shinagawa-Ku Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Funabashi", 
        "givenName": "Masatoshi", 
        "id": "sg:person.014672366412.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014672366412.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sony (France)", 
          "id": "https://www.grid.ac/institutes/grid.426401.5", 
          "name": [
            "Sony Computer Science Laboratory Paris Paris France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hanappe", 
        "givenName": "Peter", 
        "id": "sg:person.015415355557.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015415355557.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sony Computer Science Laboratories", 
          "id": "https://www.grid.ac/institutes/grid.452725.3", 
          "name": [
            "Sony Computer Science Laboratories Inc., 3-14-13, Higahi-Gotanda Shinagawa-Ku Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Isozaki", 
        "givenName": "Takashi", 
        "id": "sg:person.011334343532.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011334343532.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "OKNO Brussels Belgium", 
            "So-oN Brussels Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maes", 
        "givenName": "AnneMarie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sony Computer Science Laboratories", 
          "id": "https://www.grid.ac/institutes/grid.452725.3", 
          "name": [
            "Sony Computer Science Laboratories Inc., 3-14-13, Higahi-Gotanda Shinagawa-Ku Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sasaki", 
        "givenName": "Takahiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sony (France)", 
          "id": "https://www.grid.ac/institutes/grid.426401.5", 
          "name": [
            "Sony Computer Science Laboratory Paris Paris France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Steels", 
        "givenName": "Luc", 
        "id": "sg:person.016372062547.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016372062547.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sony Computer Science Laboratories", 
          "id": "https://www.grid.ac/institutes/grid.452725.3", 
          "name": [
            "Sony Computer Science Laboratories Inc., 3-14-13, Higahi-Gotanda Shinagawa-Ku Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshida", 
        "givenName": "Kaoru", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1080/02827589809382966", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001660399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1654-1103.2003.tb02185.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004822624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2494.1980.tb01509.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007867568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009989542", 
          "https://doi.org/10.1038/nature11018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11119-004-5321-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013536459", 
          "https://doi.org/10.1007/s11119-004-5321-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10708-007-9111-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014006987", 
          "https://doi.org/10.1007/s10708-007-9111-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10708-007-9111-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014006987", 
          "https://doi.org/10.1007/s10708-007-9111-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/496293a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015055276", 
          "https://doi.org/10.1038/496293a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4020-9663-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019106430", 
          "https://doi.org/10.1007/978-1-4020-9663-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4020-9663-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019106430", 
          "https://doi.org/10.1007/978-1-4020-9663-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1527/tjsai.29.137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019727816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08920759609362279", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021705642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1462-9011(03)00070-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022966392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1462-9011(03)00070-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022966392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11284-005-0043-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025383622", 
          "https://doi.org/10.1007/s11284-005-0043-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1071148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027228280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13218-012-0231-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027774614", 
          "https://doi.org/10.1007/s13218-012-0231-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/scientificamerican0708-70", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028715679", 
          "https://doi.org/10.1038/scientificamerican0708-70"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8809(01)00247-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029013882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8809(01)00247-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029013882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2007.09.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030489899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/1-4020-3466-0_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031009484", 
          "https://doi.org/10.1007/1-4020-3466-0_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1099-1085(199708)11:10<1427::aid-hyp473>3.0.co;2-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031285867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1099-1085(199708)11:10<1427::aid-hyp473>3.0.co;2-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031285867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature14324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032466158", 
          "https://doi.org/10.1038/nature14324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1051/agro:2007057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032996860", 
          "https://doi.org/10.1051/agro:2007057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0308-521x(98)00026-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042020054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-04180-8_57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042327155", 
          "https://doi.org/10.1007/978-3-642-04180-8_57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jag.2006.05.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043117011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35083573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045116489", 
          "https://doi.org/10.1038/35083573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35083573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045116489", 
          "https://doi.org/10.1038/35083573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1045188340", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-011-6948-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045188340", 
          "https://doi.org/10.1007/978-94-011-6948-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-011-6948-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045188340", 
          "https://doi.org/10.1007/978-94-011-6948-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/489359a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046786308", 
          "https://doi.org/10.1038/489359a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8809(02)00085-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047658839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8809(02)00085-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047658839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.286.5442.1123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051466816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0012496607050183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053434112", 
          "https://doi.org/10.1134/s0012496607050183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fcr.2011.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053694623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3059791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057903432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.105.2727.367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062444105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1188761", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062461734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1188761", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062461734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.243.4889.310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062537252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1127/0941-2948/2006/0130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062699594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14355/jitae.2013.0204.10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067273634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5304/jafscd.2013.033.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072755082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5304/jafscd.2013.033.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072755082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5751/es-05103-170444", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073096936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5751/es-05103-170444", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073096936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5860/choice.42-0296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073396771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4135/9781483346304.n251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1087910524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7551/978-0-262-31709-2-ch067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099546898"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017", 
    "datePublishedReg": "2017-01-01", 
    "description": "We established a Complex Systems Digital Campus (CS-DC) e-laboratory \u201cOpen Systems Exploration for Ecosystems Leveraging\u201d in view of redesigning sustainable social-ecological systems related to food production ranging over food, health, community, economy, and environment. 6 projects have begun to collaborate in e-laboratory, namely Synecoculture, P2P Food Lab, Open Systems Data Analytics, The Bee Laboratory, Open Systems Simulation and One-Health Food Lab. As a transversal methodology we apply open systems science to deepen scientific understanding and for a continuous amelioration of the management. The projects involve scientists, engineers, artists, citizens and are open to collaboration inside and outside of the e-laboratory. This article summarizes foundational principles of these projects and reports initial steps in operation.", 
    "editor": [
      {
        "familyName": "Bourgine", 
        "givenName": "Paul", 
        "type": "Person"
      }, 
      {
        "familyName": "Collet", 
        "givenName": "Pierre", 
        "type": "Person"
      }, 
      {
        "familyName": "Parrend", 
        "givenName": "Pierre", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-45901-1_37", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-319-45900-4", 
        "978-3-319-45901-1"
      ], 
      "name": "First Complex Systems Digital Campus World E-Conference 2015", 
      "type": "Book"
    }, 
    "name": "Foundation of CS-DC e-Laboratory: Open Systems Exploration for Ecosystems Leveraging", 
    "pagination": "351-374", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-45901-1_37"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "af1741c6e8190dd5a82fc3c583287fe2b803b4902cf6955c8549925440218195"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036755845"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-45901-1_37", 
      "https://app.dimensions.ai/details/publication/pub.1036755845"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T15:29", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000319.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-45901-1_37"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-45901-1_37'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-45901-1_37'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-45901-1_37'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-45901-1_37'


 

This table displays all metadata directly associated to this object as RDF triples.

264 TRIPLES      23 PREDICATES      70 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-45901-1_37 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N137e8f1df14c4cc9ace1c61487a0f00c
4 schema:citation sg:pub.10.1007/1-4020-3466-0_6
5 sg:pub.10.1007/978-1-4020-9663-1
6 sg:pub.10.1007/978-3-642-04180-8_57
7 sg:pub.10.1007/978-94-011-6948-6
8 sg:pub.10.1007/s10708-007-9111-y
9 sg:pub.10.1007/s11119-004-5321-1
10 sg:pub.10.1007/s11284-005-0043-z
11 sg:pub.10.1007/s13218-012-0231-2
12 sg:pub.10.1038/35083573
13 sg:pub.10.1038/489359a
14 sg:pub.10.1038/496293a
15 sg:pub.10.1038/nature11018
16 sg:pub.10.1038/nature14324
17 sg:pub.10.1038/scientificamerican0708-70
18 sg:pub.10.1051/agro:2007057
19 sg:pub.10.1134/s0012496607050183
20 https://app.dimensions.ai/details/publication/pub.1045188340
21 https://doi.org/10.1002/(sici)1099-1085(199708)11:10<1427::aid-hyp473>3.0.co;2-s
22 https://doi.org/10.1016/j.fcr.2011.04.004
23 https://doi.org/10.1016/j.jag.2006.05.003
24 https://doi.org/10.1016/j.jenvman.2007.09.012
25 https://doi.org/10.1016/s0167-8809(01)00247-x
26 https://doi.org/10.1016/s0167-8809(02)00085-3
27 https://doi.org/10.1016/s0308-521x(98)00026-2
28 https://doi.org/10.1016/s1462-9011(03)00070-4
29 https://doi.org/10.1063/1.3059791
30 https://doi.org/10.1080/02827589809382966
31 https://doi.org/10.1080/08920759609362279
32 https://doi.org/10.1111/j.1365-2494.1980.tb01509.x
33 https://doi.org/10.1111/j.1654-1103.2003.tb02185.x
34 https://doi.org/10.1126/science.105.2727.367
35 https://doi.org/10.1126/science.1071148
36 https://doi.org/10.1126/science.1188761
37 https://doi.org/10.1126/science.243.4889.310
38 https://doi.org/10.1126/science.286.5442.1123
39 https://doi.org/10.1127/0941-2948/2006/0130
40 https://doi.org/10.14355/jitae.2013.0204.10
41 https://doi.org/10.1527/tjsai.29.137
42 https://doi.org/10.4135/9781483346304.n251
43 https://doi.org/10.5304/jafscd.2013.033.008
44 https://doi.org/10.5751/es-05103-170444
45 https://doi.org/10.5860/choice.42-0296
46 https://doi.org/10.7551/978-0-262-31709-2-ch067
47 schema:datePublished 2017
48 schema:datePublishedReg 2017-01-01
49 schema:description We established a Complex Systems Digital Campus (CS-DC) e-laboratory “Open Systems Exploration for Ecosystems Leveraging” in view of redesigning sustainable social-ecological systems related to food production ranging over food, health, community, economy, and environment. 6 projects have begun to collaborate in e-laboratory, namely Synecoculture, P2P Food Lab, Open Systems Data Analytics, The Bee Laboratory, Open Systems Simulation and One-Health Food Lab. As a transversal methodology we apply open systems science to deepen scientific understanding and for a continuous amelioration of the management. The projects involve scientists, engineers, artists, citizens and are open to collaboration inside and outside of the e-laboratory. This article summarizes foundational principles of these projects and reports initial steps in operation.
50 schema:editor Na0cc00a1e5b8452f8a08f3c538d45134
51 schema:genre chapter
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf Ndc061e0e6520401f8960e3e8ef81b469
55 schema:name Foundation of CS-DC e-Laboratory: Open Systems Exploration for Ecosystems Leveraging
56 schema:pagination 351-374
57 schema:productId N1e9e0fb6e993458689f904b45ca09874
58 N3ae472415fe44feab5f8668c7aa8f2eb
59 N7636e71820f24728ba7c2a87e7e5397d
60 schema:publisher N3a77f3c284cb411fb719f2acd460abf4
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036755845
62 https://doi.org/10.1007/978-3-319-45901-1_37
63 schema:sdDatePublished 2019-04-15T15:29
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N9e11b3d501d04b1d98cf91c4c072379a
66 schema:url http://link.springer.com/10.1007/978-3-319-45901-1_37
67 sgo:license sg:explorer/license/
68 sgo:sdDataset chapters
69 rdf:type schema:Chapter
70 N12667a1900d94e1f844c624a28280bd6 schema:affiliation https://www.grid.ac/institutes/grid.452725.3
71 schema:familyName Sasaki
72 schema:givenName Takahiro
73 rdf:type schema:Person
74 N137e8f1df14c4cc9ace1c61487a0f00c rdf:first sg:person.014672366412.40
75 rdf:rest N444cdf9ab78845888a43e346b4163c6d
76 N1e9e0fb6e993458689f904b45ca09874 schema:name dimensions_id
77 schema:value pub.1036755845
78 rdf:type schema:PropertyValue
79 N2b1b6772fead46888a017ebb9b67a432 schema:name OKNO Brussels Belgium
80 So-oN Brussels Belgium
81 rdf:type schema:Organization
82 N3884506856774619a9241e4445c7e6f9 rdf:first N12667a1900d94e1f844c624a28280bd6
83 rdf:rest N5d25d32818ae4335bdfb303de3b0a28c
84 N3a77f3c284cb411fb719f2acd460abf4 schema:location Cham
85 schema:name Springer International Publishing
86 rdf:type schema:Organisation
87 N3ae472415fe44feab5f8668c7aa8f2eb schema:name readcube_id
88 schema:value af1741c6e8190dd5a82fc3c583287fe2b803b4902cf6955c8549925440218195
89 rdf:type schema:PropertyValue
90 N444cdf9ab78845888a43e346b4163c6d rdf:first sg:person.015415355557.83
91 rdf:rest N7a701e08d7df442dbcca5708ec466f40
92 N5d25d32818ae4335bdfb303de3b0a28c rdf:first sg:person.016372062547.90
93 rdf:rest Neceb60ca32104288843c5bcd5ccd3fcd
94 N6db7813f4ada47e7ac0efa345299bccc rdf:first Ne23d5fc2cfe14997bd9bc6a49b036ba6
95 rdf:rest N3884506856774619a9241e4445c7e6f9
96 N7531e979b23d43beadaae7d52d058dbe schema:familyName Parrend
97 schema:givenName Pierre
98 rdf:type schema:Person
99 N7636e71820f24728ba7c2a87e7e5397d schema:name doi
100 schema:value 10.1007/978-3-319-45901-1_37
101 rdf:type schema:PropertyValue
102 N7a701e08d7df442dbcca5708ec466f40 rdf:first sg:person.011334343532.18
103 rdf:rest N6db7813f4ada47e7ac0efa345299bccc
104 N91853658fab14daa85c879fecadaa069 schema:familyName Collet
105 schema:givenName Pierre
106 rdf:type schema:Person
107 N9e0d135716df4abbad03f38387fcb5a2 schema:affiliation https://www.grid.ac/institutes/grid.452725.3
108 schema:familyName Yoshida
109 schema:givenName Kaoru
110 rdf:type schema:Person
111 N9e11b3d501d04b1d98cf91c4c072379a schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 Na0cc00a1e5b8452f8a08f3c538d45134 rdf:first Nfab8236c307c47c6bc41affe0b69e4c4
114 rdf:rest Naf8d32fff4814d9a83db89bb7ac725f9
115 Na4f1207043f745d1ba5527f0ebd451ae rdf:first N7531e979b23d43beadaae7d52d058dbe
116 rdf:rest rdf:nil
117 Naf8d32fff4814d9a83db89bb7ac725f9 rdf:first N91853658fab14daa85c879fecadaa069
118 rdf:rest Na4f1207043f745d1ba5527f0ebd451ae
119 Ndc061e0e6520401f8960e3e8ef81b469 schema:isbn 978-3-319-45900-4
120 978-3-319-45901-1
121 schema:name First Complex Systems Digital Campus World E-Conference 2015
122 rdf:type schema:Book
123 Ne23d5fc2cfe14997bd9bc6a49b036ba6 schema:affiliation N2b1b6772fead46888a017ebb9b67a432
124 schema:familyName Maes
125 schema:givenName AnneMarie
126 rdf:type schema:Person
127 Neceb60ca32104288843c5bcd5ccd3fcd rdf:first N9e0d135716df4abbad03f38387fcb5a2
128 rdf:rest rdf:nil
129 Nfab8236c307c47c6bc41affe0b69e4c4 schema:familyName Bourgine
130 schema:givenName Paul
131 rdf:type schema:Person
132 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
133 schema:name Information and Computing Sciences
134 rdf:type schema:DefinedTerm
135 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
136 schema:name Information Systems
137 rdf:type schema:DefinedTerm
138 sg:person.011334343532.18 schema:affiliation https://www.grid.ac/institutes/grid.452725.3
139 schema:familyName Isozaki
140 schema:givenName Takashi
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011334343532.18
142 rdf:type schema:Person
143 sg:person.014672366412.40 schema:affiliation https://www.grid.ac/institutes/grid.452725.3
144 schema:familyName Funabashi
145 schema:givenName Masatoshi
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014672366412.40
147 rdf:type schema:Person
148 sg:person.015415355557.83 schema:affiliation https://www.grid.ac/institutes/grid.426401.5
149 schema:familyName Hanappe
150 schema:givenName Peter
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015415355557.83
152 rdf:type schema:Person
153 sg:person.016372062547.90 schema:affiliation https://www.grid.ac/institutes/grid.426401.5
154 schema:familyName Steels
155 schema:givenName Luc
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016372062547.90
157 rdf:type schema:Person
158 sg:pub.10.1007/1-4020-3466-0_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031009484
159 https://doi.org/10.1007/1-4020-3466-0_6
160 rdf:type schema:CreativeWork
161 sg:pub.10.1007/978-1-4020-9663-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019106430
162 https://doi.org/10.1007/978-1-4020-9663-1
163 rdf:type schema:CreativeWork
164 sg:pub.10.1007/978-3-642-04180-8_57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042327155
165 https://doi.org/10.1007/978-3-642-04180-8_57
166 rdf:type schema:CreativeWork
167 sg:pub.10.1007/978-94-011-6948-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045188340
168 https://doi.org/10.1007/978-94-011-6948-6
169 rdf:type schema:CreativeWork
170 sg:pub.10.1007/s10708-007-9111-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1014006987
171 https://doi.org/10.1007/s10708-007-9111-y
172 rdf:type schema:CreativeWork
173 sg:pub.10.1007/s11119-004-5321-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013536459
174 https://doi.org/10.1007/s11119-004-5321-1
175 rdf:type schema:CreativeWork
176 sg:pub.10.1007/s11284-005-0043-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1025383622
177 https://doi.org/10.1007/s11284-005-0043-z
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/s13218-012-0231-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027774614
180 https://doi.org/10.1007/s13218-012-0231-2
181 rdf:type schema:CreativeWork
182 sg:pub.10.1038/35083573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045116489
183 https://doi.org/10.1038/35083573
184 rdf:type schema:CreativeWork
185 sg:pub.10.1038/489359a schema:sameAs https://app.dimensions.ai/details/publication/pub.1046786308
186 https://doi.org/10.1038/489359a
187 rdf:type schema:CreativeWork
188 sg:pub.10.1038/496293a schema:sameAs https://app.dimensions.ai/details/publication/pub.1015055276
189 https://doi.org/10.1038/496293a
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/nature11018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009989542
192 https://doi.org/10.1038/nature11018
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/nature14324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032466158
195 https://doi.org/10.1038/nature14324
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/scientificamerican0708-70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028715679
198 https://doi.org/10.1038/scientificamerican0708-70
199 rdf:type schema:CreativeWork
200 sg:pub.10.1051/agro:2007057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032996860
201 https://doi.org/10.1051/agro:2007057
202 rdf:type schema:CreativeWork
203 sg:pub.10.1134/s0012496607050183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053434112
204 https://doi.org/10.1134/s0012496607050183
205 rdf:type schema:CreativeWork
206 https://app.dimensions.ai/details/publication/pub.1045188340 schema:CreativeWork
207 https://doi.org/10.1002/(sici)1099-1085(199708)11:10<1427::aid-hyp473>3.0.co;2-s schema:sameAs https://app.dimensions.ai/details/publication/pub.1031285867
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.fcr.2011.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053694623
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.jag.2006.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043117011
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.jenvman.2007.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030489899
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/s0167-8809(01)00247-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029013882
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/s0167-8809(02)00085-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047658839
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/s0308-521x(98)00026-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042020054
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/s1462-9011(03)00070-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022966392
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1063/1.3059791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057903432
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1080/02827589809382966 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001660399
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1080/08920759609362279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021705642
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1111/j.1365-2494.1980.tb01509.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007867568
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1111/j.1654-1103.2003.tb02185.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004822624
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1126/science.105.2727.367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062444105
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1126/science.1071148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027228280
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1126/science.1188761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062461734
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1126/science.243.4889.310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062537252
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1126/science.286.5442.1123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051466816
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1127/0941-2948/2006/0130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062699594
244 rdf:type schema:CreativeWork
245 https://doi.org/10.14355/jitae.2013.0204.10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067273634
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1527/tjsai.29.137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019727816
248 rdf:type schema:CreativeWork
249 https://doi.org/10.4135/9781483346304.n251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1087910524
250 rdf:type schema:CreativeWork
251 https://doi.org/10.5304/jafscd.2013.033.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072755082
252 rdf:type schema:CreativeWork
253 https://doi.org/10.5751/es-05103-170444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073096936
254 rdf:type schema:CreativeWork
255 https://doi.org/10.5860/choice.42-0296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073396771
256 rdf:type schema:CreativeWork
257 https://doi.org/10.7551/978-0-262-31709-2-ch067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099546898
258 rdf:type schema:CreativeWork
259 https://www.grid.ac/institutes/grid.426401.5 schema:alternateName Sony (France)
260 schema:name Sony Computer Science Laboratory Paris Paris France
261 rdf:type schema:Organization
262 https://www.grid.ac/institutes/grid.452725.3 schema:alternateName Sony Computer Science Laboratories
263 schema:name Sony Computer Science Laboratories Inc., 3-14-13, Higahi-Gotanda Shinagawa-Ku Japan
264 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...