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@ARTICLE{Maskey:1019196,
      author       = {Maskey, Manil and Cavallaro, Gabriele and Heras, Dora
                      Blanco and Fraccaro, Paolo and Edwards, Blair and Gurung,
                      Iksha and Freitag, Brian and Ramasubramanian, Muthukumaran
                      and Jakubik, Johannes and Chu, Linsong and Ganti, Raghu and
                      Ramachandran, Rahul and Weldemariam, Kommy and Roy, Sujit
                      and Costa, Carlos and Corvin, Alex and Asthana, Anish},
      title        = {{A} {S}ummer {S}chool {S}ession on {M}astering {G}eospatial
                      {A}rtificial {I}ntelligence: {F}rom {D}ata {P}roduction to
                      {A}rtificial {I}ntelligence {F}oundation {M}odel
                      {D}evelopment and {D}ownstream {A}pplications [{T}echnical
                      {C}ommittees]},
      journal      = {IEEE geoscience and remote sensing magazine},
      volume       = {11},
      number       = {3},
      issn         = {2168-6831},
      address      = {New York, NY},
      publisher    = {IEEE},
      reportid     = {FZJ-2023-05240},
      pages        = {129 - 132},
      year         = {2023},
      abstract     = {In collaboration with IBM Research, the NASA Interagency
                      Implementation and Advanced Concepts Team (IMPACT) organized
                      a specialized one-day summer school session focused on
                      exploring the topic of data science at scale. This session
                      was a part of the “High Performance and Disruptive
                      Computing in Remote Sensing” summer school hosted by the
                      University of Iceland from 29 May to 1 June 2023 in
                      Reykjavik, Iceland. This marked the third edition of the
                      school organised by the High Performance and Disruptive
                      Computing in Remote Sensing (HDCRS) Working Group of the
                      IEEE Geoscience and Remote Sensing Society’s (GRSS’s)
                      Earth Science Informatics (ESI) Technical Committee (TC).},
      cin          = {JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001079695600010},
      doi          = {10.1109/MGRS.2023.3302813},
      url          = {https://juser.fz-juelich.de/record/1019196},
}