Partners
FARR partners with existing networks to build this RCN.
FAIR in ML and Reproducibility
Computer Science
Machine Learning networks
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Roy Peter Forbes, AI Africa Consortium
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Geoffrey Fox, MLCommons Science
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Odd Erik Gundersen, Norwegian University of Science and Technology
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Andrew Kahng, The Institute for Learning-enabled Optimization at Scale (TILOS)
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Michael L. Norman, National AI Research Resource Task Force
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Beth Plale, Pervasive Technology Institute
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Fotis Psomopoulos, Research Data Alliance FAIR4ML interest group
Geosciences partners
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Ryan Abernathey, Pangeo
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Cathy Constable, Scripps Institution of Oceanography
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Robert Redmon, NOAA Center for AI
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Jed Sundwall, Radiant Earth Foundation
Community networks
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Michael Barton, CoMSES Net
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Ben Blaisik, DLHub
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Chunhua (Leo) Liao, FAIR-HPC
AI Readiness
Geo Data Facilities
Council of Data Facilities (CDF)
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Jerad Bales, Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI)
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Amber Budden, Data Observation Network for Earth (DataONE)
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Suzanne Carbotte, Rolling Deck to Repository Program (R2R)
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Jerry Carter, IRIS DMC
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Robert Chen, Center for International Earth Science Information Network (CIESIN)
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Simon Goring, Neotoma Paleoecology Database
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Sara Graves, Global Hydrology Resource Center DAAC
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Corinna Gries, Environmental Data Initiative
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Nick Jarboe, Magnetics Information Consortium (MagIC) & FIESTA
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Chris Jenkins, dbSEABED
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Danie Kinkade, Biological and Chemical Oceanography Data Management Office (BCO-DMO)
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Christopher Lenhardt, Earth Data Science Group at RENCI
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Paula Mabee, National Ecological Observatory Network (NEON)
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Lindsay Powers, Core Research Center at USGS
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Maša Prodanović, Digital Rocks Portal
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Mohan Ramamurthy, UNIDATA
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Greg Tucker, Community Surface Dynamics Modeling System (CSDMS)
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Shawn Smith, SAMOS
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Susan Winter, Center for the Advanced Study of Communities and Information (CASCI)
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Ilya Zaslavsky, Data Discovery Studio
Institutional partners
Overall
Research Data/Digital Object partners
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Ashley Atkins, West Big Data Innovation Hub
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Simon Hodson, International Science Council’s Committee on Data (CODATA)
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Bert Meerman, GO FAIR Foundation
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John McMullen, Midwest Big Data Innovation Hub
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Lars Nielson, Zenodo and Invenio communities at the European Organization for Nuclear Research (CERN)