Item talk:Q50221

orcid:

 meta:
   status_code: 200
   timestamp: '2023-10-20T09:24:45.563394'
   url: https://pub.orcid.org/v3.0/0000-0002-7030-0602/record
 orcid:
   activities:
     employments:
       affiliation-group:
       - external-ids:
           external-id: []
         last-modified-date:
           value: 1621022591533
         summaries:
         - employment-summary:
             created-date:
               value: 1621022591533
             department-name: null
             display-index: '1'
             end-date: null
             external-ids: null
             last-modified-date:
               value: 1621022591533
             organization:
               address:
                 city: La Crosse
                 country: US
                 region: Wisconsin
               disambiguated-organization: null
               name: USGS
             path: /0000-0002-7030-0602/employment/14801944
             put-code: 14801944
             role-title: Mathematical Statistician
             source:
               assertion-origin-client-id: null
               assertion-origin-name: null
               assertion-origin-orcid: null
               source-client-id: null
               source-name:
                 value: Ashton Wiens
               source-orcid:
                 host: orcid.org
                 path: 0000-0002-7030-0602
                 uri: https://orcid.org/0000-0002-7030-0602
             start-date: null
             url: null
             visibility: public
       last-modified-date:
         value: 1621022591533
       path: /0000-0002-7030-0602/employments
     works:
       group:
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.1002/ece3.9547
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.1002/ece3.9547
             external-id-value: 10.1002/ece3.9547
         last-modified-date:
           value: 1669619973853
         work-summary:
         - created-date:
             value: 1669619973853
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.1002/ece3.9547
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.1002/ece3.9547
               external-id-value: 10.1002/ece3.9547
           journal-title:
             value: Ecology and Evolution
           last-modified-date:
             value: 1669619973853
           path: /0000-0002-7030-0602/work/123652564
           publication-date:
             day: null
             month:
               value: '11'
             year:
               value: '2022'
           put-code: 123652564
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Gaussian process forecasts Pseudogymnoascus destructans will
                 cover coterminous United States by 2030
             translated-title: null
           type: journal-article
           url:
             value: https://doi.org/10.1002/ece3.9547
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.1111/rssa.12833
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.1111/rssa.12833
             external-id-value: 10.1111/rssa.12833
         last-modified-date:
           value: 1660260841236
         work-summary:
         - created-date:
             value: 1648730162249
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.1111/rssa.12833
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.1111/rssa.12833
               external-id-value: 10.1111/rssa.12833
           journal-title:
             value: 'Journal of the Royal Statistical Society: Series A (Statistics
               in Society)'
           last-modified-date:
             value: 1660260841236
           path: /0000-0002-7030-0602/work/110744795
           publication-date:
             day: null
             month:
               value: '07'
             year:
               value: '2022'
           put-code: 110744795
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: "A modelling strategy to estimate conditional probabilities\
                 \ of African origins: The collapse of the Oyo Empire and the transatlantic\
                 \ slave trade, 1817\u20131836"
             translated-title: null
           type: journal-article
           url:
             value: https://doi.org/10.1111/rssa.12833
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.1007/s11004-020-09917-7
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.1007/s11004-020-09917-7
             external-id-value: 10.1007/s11004-020-09917-7
         last-modified-date:
           value: 1654024971070
         work-summary:
         - created-date:
             value: 1611580045042
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.1007/s11004-020-09917-7
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.1007/s11004-020-09917-7
               external-id-value: 10.1007/s11004-020-09917-7
           journal-title:
             value: Mathematical Geosciences
           last-modified-date:
             value: 1654024971070
           path: /0000-0002-7030-0602/work/87457057
           publication-date:
             day:
               value: '25'
             month:
               value: 08
             year:
               value: '2021'
           put-code: 87457057
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Nonrigid Registration Using Gaussian Processes and Local Likelihood
                 Estimation
             translated-title: null
           type: journal-article
           url:
             value: https://doi.org/10.1007/s11004-020-09917-7
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.1002/env.2652
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.1002/env.2652
             external-id-value: 10.1002/env.2652
         last-modified-date:
           value: 1693898391411
         work-summary:
         - created-date:
             value: 1597052601058
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.1002/env.2652
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.1002/env.2652
               external-id-value: 10.1002/env.2652
           journal-title:
             value: Environmetrics
           last-modified-date:
             value: 1693898391411
           path: /0000-0002-7030-0602/work/78578944
           publication-date:
             day: null
             month:
               value: 09
             year:
               value: '2020'
           put-code: 78578944
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: "Modeling spatial data using local likelihood estimation and\
                 \ a Mat\xE9rn to spatial autoregressive translation"
             translated-title: null
           type: journal-article
           url:
             value: https://doi.org/10.1002/env.2652
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.1007/s11004-019-09802-y
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.1007/s11004-019-09802-y
             external-id-value: 10.1007/s11004-019-09802-y
         last-modified-date:
           value: 1653786207821
         work-summary:
         - created-date:
             value: 1567268474510
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.1007/s11004-019-09802-y
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.1007/s11004-019-09802-y
               external-id-value: 10.1007/s11004-019-09802-y
           journal-title:
             value: Mathematical Geosciences
           last-modified-date:
             value: 1653786207821
           path: /0000-0002-7030-0602/work/61121423
           publication-date:
             day:
               value: '22'
             month:
               value: '05'
             year:
               value: '2020'
           put-code: 61121423
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Surface Estimation for Multiple Misaligned Point Sets
             translated-title: null
           type: journal-article
           url:
             value: https://doi.org/10.1007/s11004-019-09802-y
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.1016/j.spasta.2018.08.006
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.1016/j.spasta.2018.08.006
             external-id-value: 10.1016/j.spasta.2018.08.006
         last-modified-date:
           value: 1653786207807
         work-summary:
         - created-date:
             value: 1567268474317
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.1016/j.spasta.2018.08.006
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.1016/j.spasta.2018.08.006
               external-id-value: 10.1016/j.spasta.2018.08.006
           journal-title:
             value: Spatial Statistics
           last-modified-date:
             value: 1653786207807
           path: /0000-0002-7030-0602/work/61121422
           publication-date:
             day: null
             month:
               value: '12'
             year:
               value: '2018'
           put-code: 61121422
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Modeling and emulation of nonstationary Gaussian fields
             translated-title: null
           type: journal-article
           url:
             value: https://doi.org/10.1016/j.spasta.2018.08.006
           visibility: public
       last-modified-date:
         value: 1693898391411
       path: /0000-0002-7030-0602/works
   history:
     claimed: true
     completion-date: null
     creation-method: DIRECT
     deactivation-date: null
     last-modified-date:
       value: 1693898391245
     source: null
     submission-date:
       value: 1510807640445
     verified-email: true
     verified-primary-email: true
   person:
     addresses:
       address:
       - country:
           value: US
         created-date:
           value: 1621022354252
         display-index: 1
         last-modified-date:
           value: 1621022354252
         path: /0000-0002-7030-0602/address/2089481
         put-code: 2089481
         source:
           assertion-origin-client-id: null
           assertion-origin-name: null
           assertion-origin-orcid: null
           source-client-id: null
           source-name:
             value: Ashton Wiens
           source-orcid:
             host: orcid.org
             path: 0000-0002-7030-0602
             uri: https://orcid.org/0000-0002-7030-0602
         visibility: public
       last-modified-date:
         value: 1621022354252
       path: /0000-0002-7030-0602/address
     name:
       created-date:
         value: 1510807640445
       credit-name: null
       family-name:
         value: Wiens
       given-names:
         value: Ashton
       last-modified-date:
         value: 1510807640665
       path: 0000-0002-7030-0602
       source: null
       visibility: public

usgs_staff_profile:

 meta:
   url: https://www.usgs.gov/staff-profiles/ashton-wiens
   timestamp: '2024-01-30T18:54:57.514012'
   status_code: 200
 profile:
   name: Ashton Wiens, Ph.D.
   name_qualifier: null
   titles:
   - Mathematical Statistician
   organizations:
   - !!python/tuple
     - Geology, Energy & Minerals Science Center
     - https://www.usgs.gov/centers/geology-energy-and-minerals-science-center
   email: awiens@usgs.gov
   orcid: 0000-0002-7030-0602
   intro_statements:
   - Ashton Wiens is a Mathematical Statistician with the USGS Geology, Energy &
     Minerals (GEM) Science Center in Reston, VA.
   expertise_terms:
   - Spatial statistics
   - Geostatistics
   - Applied mathematics
   - Population dynamics
   professional_experience:
   - "USGS, Ecosystems mission area, Upper Midwest Environmental Sciences Center\
     \ (UMESC) Ecological sciences branch, 2020 \u2013 Present"
   - NCAR, Institute for Mathematics Applied to the Geosciences 2018-2020
   - University of Colorado, Boulder; Graduate research assistant 2017-2020
   education:
   - University of Colorado; MS and PhD in applied mathematics, 2015-2020
   - University of Kansas; BS in mathematics, 2011-2015
   affiliations: []
   honors: []
   abstracts: []
   personal_statement: My present research in population ecology includes time series
     analysis using demographic and phenology modeling, population viability analysis,
     and the development of decision support tools. I serve as a lead analyst for
     the North American Bat Monitoring Program (NABat).