Item talk:Q46324: Difference between revisions
From geokb
No edit summary |
(caching schema from staff profile page) |
||
(2 intermediate revisions by the same user not shown) | |||
Line 1: | Line 1: | ||
{ | |||
"USGS Staff Profile": { | |||
"@context": "https://schema.org", | |||
"@type": "Person", | |||
"dateModified": "2024-09-21T07:56:28.102668", | |||
"name": "Pierre Glynn, Ph.D.", | |||
"identifier": [ | |||
{ | |||
"@type": "PropertyValue", | |||
"propertyID": "ORCID", | |||
"value": "0000-0001-8804-7003" | |||
} | |||
], | |||
"jobTitle": "Scientist Emeritus", | |||
"hasOccupation": [ | |||
{ | |||
"@type": "OrganizationalRole", | |||
"startDate": "2024-09-21T07:56:28.107400", | |||
"affiliatedOrganization": { | |||
"@type": "Organization", | |||
"name": "Science and Decisions Center", | |||
"url": "https://www.usgs.gov/programs/science-and-decisions-center" | |||
}, | |||
"roleName": "Scientist Emeritus" | |||
} | |||
], | |||
"description": [ | |||
{ | |||
"@type": "TextObject", | |||
"additionalType": "short description", | |||
"abstract": "Scientist Emeritus with the Science and Decisions Center" | |||
}, | |||
{ | |||
"@type": "TextObject", | |||
"additionalType": "staff profile page introductory statement", | |||
"abstract": "Pierre Glynn, Ph.D., has now retired from his USGS management positions and is devoting his time to conducting interdisciplinary research to advance the science, policy, and management of complex systems and issues. He is currently Emeritus Scientist with the USGS Science and Decisions Center (USGS/SDC) in the Northeastern Region." | |||
}, | |||
{ | |||
"@type": "TextObject", | |||
"additionalType": "personal statement", | |||
"abstract": "Pierre also serves as an Affiliated Scholar with Arizona State University\u2019s Consortium for Science, Policy and Outcomes (ASU/CSPO) in Washington D.C.Pierre\u2019s current research includes studies on:water and natural capital accounting (USGS/SDC),value of Information \u2013 useability and actionability (USGS/SDC),Chesapeake Bay watershed modeling and its associated social systems (USGS/SDC),examining the role of narratives and information in managing natural resources and societal hazards (ASU/CSPO),adaptive management, participatory modeling, public participation in science, and the creation of \u201cRecords of Engagement and Decision-Making\u201d (mainly ASU/CSPO),integrated modeling and System of Systems modeling (USGS/SDC), andthe role of human biases, beliefs, heuristics, values, and norms in the conduct of science and policy (USGS/SDC).Pierre was recently awarded (through ASU/CSPO) a Catalyst Leaders Fellowship from the Royal Society of New Zealand to study water science and policy issues (centered around Lake Taupo) in collaboration with the Institute of Geological and Nuclear Sciences (GNS Science, New Zealand).Pierre\u2019s academic background includes a B.A. in Geological Sciences from Columbia College, an M.Sc. from University of Quebec in Montreal in isotopic environmental geochemistry, and a Ph.D. from the University of Waterloo, where his studies focused on groundwater and geochemical modeling.Professional Assignments:Jan. 1989 \u2013 March 2021: Hydrologist, U.S. Geological Survey (USGS), Reston, VAMay 2019 \u2013 March 2021: Acting Chief, Hydro-Ecological Interactions Branch, Water Mission Area (WMA), USGSOctober 2017 \u2013 April 2019: Chief, Water Cycle Branch, WMAMarch 2005 \u2013 September 2017: Chief, Eastern Branch, National Research Program (NRP), WMADecember 2015 \u2013 April 2016: Acting Associate Director for Energy and Minerals, and for Environmental Health Mission AreasNovember 2001 \u2013 February 2005: Staff Assistant to Chief Scientist for Hydrology, WMAJanuary 1989 \u2013 November 2001: Research Hydrologist, NRP, WMAJanuary 1987 \u2013 January 1989: National Academy of Sciences Research Associate" | |||
} | |||
], | |||
"email": "pglynn@usgs.gov", | |||
"url": "https://www.usgs.gov/staff-profiles/pierre-glynn", | |||
"affiliation": [], | |||
"hasCredential": [], | |||
"knowsAbout": [], | |||
"memberOf": { | |||
"@type": "OrganizationalRole", | |||
"name": "staff member", | |||
"member": { | |||
"@type": "Organization", | |||
"name": "U.S. Geological Survey" | |||
}, | |||
"startDate": "2024-09-21T07:56:28.102676" | |||
} | |||
}, | |||
"ORCID": { | |||
"@context": "http://schema.org", | |||
"@id": "https://orcid.org/0000-0001-8804-7003", | |||
"@reverse": { | |||
"creator": [ | |||
{ | |||
"@id": "https://doi.org/10.18174/sesmo.18509", | |||
"@type": "CreativeWork", | |||
"identifier": { | |||
"@type": "PropertyValue", | |||
"propertyID": "doi", | |||
"value": "10.18174/sesmo.18509" | |||
}, | |||
"name": "Recognizing political influences in participatory social-ecological systems modeling" | |||
}, | |||
{ | |||
"@id": "https://doi.org/ |
Latest revision as of 20:47, 22 September 2024
{
"USGS Staff Profile": { "@context": "https://schema.org", "@type": "Person", "dateModified": "2024-09-21T07:56:28.102668", "name": "Pierre Glynn, Ph.D.", "identifier": [ { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-8804-7003" } ], "jobTitle": "Scientist Emeritus", "hasOccupation": [ { "@type": "OrganizationalRole", "startDate": "2024-09-21T07:56:28.107400", "affiliatedOrganization": { "@type": "Organization", "name": "Science and Decisions Center", "url": "https://www.usgs.gov/programs/science-and-decisions-center" }, "roleName": "Scientist Emeritus" } ], "description": [ { "@type": "TextObject", "additionalType": "short description", "abstract": "Scientist Emeritus with the Science and Decisions Center" }, { "@type": "TextObject", "additionalType": "staff profile page introductory statement", "abstract": "Pierre Glynn, Ph.D., has now retired from his USGS management positions and is devoting his time to conducting interdisciplinary research to advance the science, policy, and management of complex systems and issues. He is currently Emeritus Scientist with the USGS Science and Decisions Center (USGS/SDC) in the Northeastern Region." }, { "@type": "TextObject", "additionalType": "personal statement", "abstract": "Pierre also serves as an Affiliated Scholar with Arizona State University\u2019s Consortium for Science, Policy and Outcomes (ASU/CSPO) in Washington D.C.Pierre\u2019s current research includes studies on:water and natural capital accounting (USGS/SDC),value of Information \u2013 useability and actionability (USGS/SDC),Chesapeake Bay watershed modeling and its associated social systems (USGS/SDC),examining the role of narratives and information in managing natural resources and societal hazards (ASU/CSPO),adaptive management, participatory modeling, public participation in science, and the creation of \u201cRecords of Engagement and Decision-Making\u201d (mainly ASU/CSPO),integrated modeling and System of Systems modeling (USGS/SDC), andthe role of human biases, beliefs, heuristics, values, and norms in the conduct of science and policy (USGS/SDC).Pierre was recently awarded (through ASU/CSPO) a Catalyst Leaders Fellowship from the Royal Society of New Zealand to study water science and policy issues (centered around Lake Taupo) in collaboration with the Institute of Geological and Nuclear Sciences (GNS Science, New Zealand).Pierre\u2019s academic background includes a B.A. in Geological Sciences from Columbia College, an M.Sc. from University of Quebec in Montreal in isotopic environmental geochemistry, and a Ph.D. from the University of Waterloo, where his studies focused on groundwater and geochemical modeling.Professional Assignments:Jan. 1989 \u2013 March 2021: Hydrologist, U.S. Geological Survey (USGS), Reston, VAMay 2019 \u2013 March 2021: Acting Chief, Hydro-Ecological Interactions Branch, Water Mission Area (WMA), USGSOctober 2017 \u2013 April 2019: Chief, Water Cycle Branch, WMAMarch 2005 \u2013 September 2017: Chief, Eastern Branch, National Research Program (NRP), WMADecember 2015 \u2013 April 2016: Acting Associate Director for Energy and Minerals, and for Environmental Health Mission AreasNovember 2001 \u2013 February 2005: Staff Assistant to Chief Scientist for Hydrology, WMAJanuary 1989 \u2013 November 2001: Research Hydrologist, NRP, WMAJanuary 1987 \u2013 January 1989: National Academy of Sciences Research Associate" } ], "email": "pglynn@usgs.gov", "url": "https://www.usgs.gov/staff-profiles/pierre-glynn", "affiliation": [], "hasCredential": [], "knowsAbout": [], "memberOf": { "@type": "OrganizationalRole", "name": "staff member", "member": { "@type": "Organization", "name": "U.S. Geological Survey" }, "startDate": "2024-09-21T07:56:28.102676" } }, "ORCID": { "@context": "http://schema.org", "@id": "https://orcid.org/0000-0001-8804-7003", "@reverse": { "creator": [ { "@id": "https://doi.org/10.18174/sesmo.18509", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.18174/sesmo.18509" }, "name": "Recognizing political influences in participatory social-ecological systems modeling" }, { "@id": "https://doi.org/10.1016/j.envsoft.2020.104885", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.envsoft.2020.104885" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85093068074" } ], "name": "Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach" }, { "@id": "https://doi.org/10.1016/j.ecoser.2020.101128", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85085518259" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.ecoser.2020.101128" } ], "name": "Corrigendum to \u201cTesting ecosystem accounting in the United States: A case study for the Southeast\u201d [Ecosyst. Serv. 43 (2020) 101099] (Ecosystem Services (2020) 43, (S2212041620300413), (10.1016/j.ecoser.2020.101099))" }, { "@id": "https://doi.org/10.1016/j.ecoser.2020.101182", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.ecoser.2020.101182" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85091626626" } ], "name": "Integrating physical and economic data into experimental water accounts for the United States: Lessons and opportunities" }, { "@id": "https://doi.org/10.1016/j.ecoser.2020.101099", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.ecoser.2020.101099" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85082795593" } ], "name": "Testing ecosystem accounting in the United States: A case study for the Southeast" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85060914215" }, "name": "Reactive transport modeling of acidic metal-contaminated ground water at a site with sparse spatial information" }, { "@id": "https://doi.org/10.1007/s40070-019-00104-6", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85076119540" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s40070-019-00104-6" } ], "name": "Records of engagement and decision making for environmental and socio-ecological challenges" }, { "@id": "https://doi.org/10.1109/istas.2018.8638273", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85062818566" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/istas.2018.8638273" } ], "name": "Records of engagement and decision tracking for adaptive management and policy development" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85061049429" }, "name": "Solid-solution solubilities and thermodynamics: Sulfates, carbonates and halides" }, { "@id": "https://doi.org/10.1525/elementa.347", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1525/elementa.347" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85068069431" } ], "name": "Try, try again: Lessons learned from success and failure in participatory modeling" }, { "@id": "https://doi.org/10.1002/eap.1627", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85040238070" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/eap.1627" } ], "name": "Purpose, processes, partnerships, and products: Four Ps to advance participatory socio-environmental modeling: Four" }, { "@id": "https://doi.org/10.1002/2018ef000819", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85046481157" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/2018ef000819" } ], "name": "Response to Comment by Walker et al. on \u201cFrom Data to Decisions: Processing Information, Biases, and Beliefs for Improved Management of Natural Resources and Environments\u201d" }, { "@id": "https://doi.org/10.1093/biosci/biy135", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1093/biosci/biy135" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85061509126" } ], "name": "The natural capital accounting opportunity: Let\u2019s really do the numbers" }, { "@id": "https://doi.org/10.1016/j.envsoft.2018.08.028", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85052893495" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.envsoft.2018.08.028" } ], "name": "Tools and methods in participatory modeling: Selecting the right tool for the job" }, { "@id": "https://doi.org/10.1029/2018ef000841", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1029/2018ef000841" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85052649415" } ], "name": "Twelve Questions for the Participatory Modeling Community" }, { "@id": "https://doi.org/10.1002/2016ef000487", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/2016ef000487" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85018798809" } ], "name": "From data to decisions: Processing information, biases, and beliefs for improved management of natural resources and environments" }, { "@id": "https://doi.org/10.1016/j.envsoft.2015.11.016", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.envsoft.2015.11.016" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84955094031" } ], "name": "Modelling with stakeholders \u2013 Next generation" }, { "@id": "https://doi.org/10.1144/sp408.9", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1144/sp408.9" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85011382895" } ], "name": "Integrated Environmental Modelling: human decisions, human challenges" }, { "@id": "https://doi.org/10.3133/cir1411", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3133/cir1411" }, "name": "Review of the USA National Phenology Network" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84911920376" }, "name": "W(h)ither the Oracle? Cognitive biases and other human challenges of integrated environmental modeling" }, { "@id": "https://doi.org/10.1016/j.envsoft.2012.09.006", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.envsoft.2012.09.006" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84870296834" } ], "name": "Integrated environmental modeling: A vision and roadmap for the future" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84906503759" }, "name": "Modeling groundwater flow and quality" }, { "@id": "https://doi.org/10.1007/978-94-007-4375-5_33", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/978-94-007-4375-5_33" }, "name": "Modeling Groundwater Flow and Quality" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85059727892" }, "name": "Foreword" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84903798352" }, "name": "Integrating field observations and inverse and forward modeling: Application at a site with acidic, heavy-metalcontaminated groundwater" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84863252346" }, "name": "Preface" }, { "@id": "https://doi.org/10.1007/s10040-004-0429-y", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-17144412521" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s10040-004-0429-y" } ], "name": "Geochemistry and the understanding of ground-water systems" }, { "@id": "https://doi.org/10.3133/sir20055026", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3133/sir20055026" }, "name": "Review of the transport of selected radionuclides in the interim risk assessment for the Radioactive Waste Management Complex, Waste Area Group 7 Operable Unit 7-13/14, Idaho National Engineering and Environmental Laboratory, Idaho" }, { "@id": "https://doi.org/10.2113/3.1.6", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-36849027043" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.2113/3.1.6" } ], "name": "Hydraulic and geochemical framework of the idaho national engineering and environmental laboratory vadose zone" }, { "@id": "https://doi.org/10.1016/s0883-2927(03)00010-6", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0038348394" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/s0883-2927(03)00010-6" } ], "name": "Kinetic dissolution of carbonates and Mn oxides in acidic water: measurement of in situ field rates and reactive transport modeling" }, { "@id": "https://doi.org/10.1016/s0098-3004(03)00009-8", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0038031888" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/s0098-3004(03)00009-8" } ], "name": "Modeling Np and Pu transport with a surface complexation model and spatially variant sorption capacities: Implications for reactive transport modeling and performance assessments of nuclear waste disposal sites" }, { "@id": "https://doi.org/10.1016/s0883-2927(99)00004-9", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0033990248" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/s0883-2927(99)00004-9" } ], "name": "Reactive transport of metal contaminants in alluvium\u2014model comparison and column simulation" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-33749869675" }, "name": "Solid-solution solubilities and thermodynamics: Sulfates, carbonates and halides" }, { "@id": "https://doi.org/10.1557/proc-556-559", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1557/proc-556-559" }, "name": "The Modeler's Influence on Calculated Solubilities for Performance Assessments at the \u00c4sp\u00f6 Hard-Rock Laboratory" }, { "@id": "https://doi.org/10.1016/s0022-1694(99)00050-5", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/s0022-1694(99)00050-5" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0033599991" } ], "name": "Erratum: Analysis and simulation of reactive transport of metal contaminants in ground water in Pinal Creek Basin, Arizona (Journal of Hydrology (1998) 209 (225-250) PII: S0022169498000912)" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0033337225" }, "name": "The modeler's influence on calculated solubilities for performance assessments at the \u00e4sp\u00f6 hard-rock laboratory" }, { "@id": "https://doi.org/10.1016/s0022-1694(98)00091-2", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0032144372" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/s0022-1694(98)00091-2" } ], "name": "Analysis and simulation of reactive transport of metal contaminants in ground water in Pinal Creek Basin, Arizona" }, { "@id": "https://doi.org/10.3133/ofr98281", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3133/ofr98281" }, "name": "PHRQCGRF, a computer program for graphical interpretation of PHREEQC geochemical transport simulations (PC only)" }, { "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-27244435145" }, "name": "Reactive transport modeling of acidic metal-contaminated ground water at a site with sparse spatial information" }, { "@id": "https://doi.org/10.1016/0883-2927(95)00021-6", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0028995362" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0883-2927(95)00021-6" } ], "name": "Methane production and consumption monitored by stable H and C isotope ratios at a crude oil spill site, Bemidji, Minnesota" }, { "@id": "https://doi.org/10.1016/0016-7037(92)90289-u", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0027084411" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0016-7037(92)90289-u" } ], "name": "Dissolution of aragonite-strontianite solid solutions in nonstoichiometric Sr (HCO<inf>3</inf>)<inf>2-</inf>Ca (HCO<inf>3</inf>)<inf>2-</inf>CO<inf>2</inf>-H<inf>2</inf>O solutions" }, { "@id": "https://doi.org/10.1016/0016-7037(92)90210-a", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0016-7037(92)90210-a" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-38249011753" } ], "name": "Reply to Dr. Stoesselfs Comment on \"Reaction paths and equilibrium end-points in solid-solution aqueous-solution systems\"" }, { "@id": "https://doi.org/10.1016/0098-3004(91)90090-z", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0098-3004(91)90090-z" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0026359182" } ], "name": "MBSSAS: A code for the computation of margules parameters and equilibrium relations in binary solid-solution aqueous-solution systems" }, { "@id": "https://doi.org/10.1016/0016-7037(90)90317-e", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0025244055" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0016-7037(90)90317-e" } ], "name": "Reaction paths and equilibrium end-points in solid-solution aqueous-solution systems" }, { "@id": "https://doi.org/10.1021/bk-1990-0416.ch006", "@type": "CreativeWork", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1021/bk-1990-0416.ch006" }, "name": "Modeling Solid\u2014Solution Reactions in Low-Temperature Aqueous Systems" }, { "@id": "https://doi.org/10.2475/ajs.290.2.164", "@type": "CreativeWork", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.2475/ajs.290.2.164" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0025225521" } ], "name": "Solid-solution aqueous-solution equilibria: thermodynamic theory and representation" } ] }, "@type": "Person", "affiliation": [ { "@type": "Organization", "identifier": { "@type": "PropertyValue", "propertyID": "RINGGOLD", "value": "83861" }, "name": "National Academy of Sciences" }, { "@type": "Organization", "identifier": { "@type": "PropertyValue", "propertyID": "RINGGOLD", "value": "254162" }, "name": "Arizona State University Consortium for Science Policy and Outcomes" } ], "familyName": "Glynn", "givenName": "Pierre", "identifier": [ { "@type": "PropertyValue", "propertyID": "Scopus Author ID", "value": "7102322019" }, { "@type": "PropertyValue", "propertyID": "Loop profile", "value": "1537921" } ], "mainEntityOfPage": "https://orcid.org/0000-0001-8804-7003" }, "OpenAlex": { "created_date": "2023-07-21", "display_name": "Pierre D. Glynn", "display_name_alternatives": [ "Pierre Glynn", "P. Glynn", "P. D. Glynn", "Pierre D. Glynn" ], "ids": { "openalex": "https://openalex.org/A5048968895", "orcid": "https://orcid.org/0000-0001-8804-7003", "scopus": "http://www.scopus.com/inward/authorDetails.url?authorID=7102322019&partnerID=MN8TOARS" }, "last_known_institutions": [ { "country_code": "US", "display_name": "Arizona State University", "id": "https://openalex.org/I55732556", "lineage": [ "https://openalex.org/I55732556" ], "ror": "https://ror.org/03efmqc40", "type": "education" }, { "country_code": "US", "display_name": "United States Geological Survey", "id": "https://openalex.org/I1286329397", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ], "ror": "https://ror.org/035a68863", "type": "government" } ], "orcid": "https://orcid.org/0000-0001-8804-7003", "topics": [ { "count": 18, "display_name": "Groundwater Flow and Transport Modeling", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T10894", "subfield": { "display_name": "Environmental Engineering", "id": "https://openalex.org/subfields/2305" } }, { "count": 14, "display_name": "Stable Isotope Analysis of Groundwater and Precipitation", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Earth and Planetary Sciences", "id": "https://openalex.org/fields/19" }, "id": "https://openalex.org/T10398", "subfield": { "display_name": "Geochemistry and Petrology", "id": "https://openalex.org/subfields/1906" } }, { "count": 14, "display_name": "System Dynamics Modeling and Applications", "domain": { "display_name": "Social Sciences", "id": "https://openalex.org/domains/2" }, "field": { "display_name": "Decision Sciences", "id": "https://openalex.org/fields/18" }, "id": "https://openalex.org/T11810", "subfield": { "display_name": "Management Science and Operations Research", "id": "https://openalex.org/subfields/1803" } }, { "count": 12, "display_name": "Sustainability Transitions and Resilience in Social-Ecological Systems", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T10119", "subfield": { "display_name": "Global and Planetary Change", "id": "https://openalex.org/subfields/2306" } }, { "count": 9, "display_name": "Global Analysis of Ecosystem Services and Land Use", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T10226", "subfield": { "display_name": "Global and Planetary Change", "id": "https://openalex.org/subfields/2306" } }, { "count": 7, "display_name": "Discrete Choice Models in Economics and Health Care", "domain": { "display_name": "Social Sciences", "id": "https://openalex.org/domains/2" }, "field": { "display_name": "Economics, Econometrics and Finance", "id": "https://openalex.org/fields/20" }, "id": "https://openalex.org/T10841", "subfield": { "display_name": "Economics and Econometrics", "id": "https://openalex.org/subfields/2002" } }, { "count": 7, "display_name": "Optimal Operation of Water Resources Systems", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Engineering", "id": "https://openalex.org/fields/22" }, "id": "https://openalex.org/T10969", "subfield": { "display_name": "Ocean Engineering", "id": "https://openalex.org/subfields/2212" } }, { "count": 6, "display_name": "Bioinspired Structural Materials and Biomineralization", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Materials Science", "id": "https://openalex.org/fields/25" }, "id": "https://openalex.org/T11278", "subfield": { "display_name": "Biomaterials", "id": "https://openalex.org/subfields/2502" } }, { "count": 6, "display_name": "Aqueous Two-Phase Systems in Separation Science", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Chemical Engineering", "id": "https://openalex.org/fields/15" }, "id": "https://openalex.org/T11936", "subfield": { "display_name": "Filtration and Separation", "id": "https://openalex.org/subfields/1506" } }, { "count": 5, "display_name": "Acid Mine Drainage Remediation and Biogeochemistry", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T11923", "subfield": { "display_name": "Environmental Chemistry", "id": "https://openalex.org/subfields/2304" } }, { "count": 5, "display_name": "Characterization of Shale Gas Pore Structure", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Engineering", "id": "https://openalex.org/fields/22" }, "id": "https://openalex.org/T10399", "subfield": { "display_name": "Mechanics of Materials", "id": "https://openalex.org/subfields/2211" } }, { "count": 4, "display_name": "Behavioral Economics and Decision Making", "domain": { "display_name": "Social Sciences", "id": "https://openalex.org/domains/2" }, "field": { "display_name": "Decision Sciences", "id": "https://openalex.org/fields/18" }, "id": "https://openalex.org/T10315", "subfield": { "display_name": "General Decision Sciences", "id": "https://openalex.org/subfields/1800" } }, { "count": 4, "display_name": "Machine Learning for Mineral Prospectivity Mapping", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Computer Science", "id": "https://openalex.org/fields/17" }, "id": "https://openalex.org/T12157", "subfield": { "display_name": "Artificial Intelligence", "id": "https://openalex.org/subfields/1702" } }, { "count": 4, "display_name": "Chemistry of Actinide and Lanthanide Elements", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Chemistry", "id": "https://openalex.org/fields/16" }, "id": "https://openalex.org/T10973", "subfield": { "display_name": "Inorganic Chemistry", "id": "https://openalex.org/subfields/1604" } }, { "count": 3, "display_name": "Species Distribution Modeling and Climate Change Impacts", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T10895", "subfield": { "display_name": "Ecological Modeling", "id": "https://openalex.org/subfields/2302" } }, { "count": 3, "display_name": "Hydrological Modeling and Water Resource Management", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T10330", "subfield": { "display_name": "Water Science and Technology", "id": "https://openalex.org/subfields/2312" } }, { "count": 3, "display_name": "Water Quality and Hydrogeology Research", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T12773", "subfield": { "display_name": "Water Science and Technology", "id": "https://openalex.org/subfields/2312" } }, { "count": 3, "display_name": "Crystallization Processes and Control", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Materials Science", "id": "https://openalex.org/fields/25" }, "id": "https://openalex.org/T11881", "subfield": { "display_name": "Materials Chemistry", "id": "https://openalex.org/subfields/2505" } }, { "count": 3, "display_name": "Carbon Dioxide Sequestration in Geological Formations", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T11302", "subfield": { "display_name": "Environmental Engineering", "id": "https://openalex.org/subfields/2305" } }, { "count": 3, "display_name": "Quantum Coherence in Photosynthesis and Aqueous Systems", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Physics and Astronomy", "id": "https://openalex.org/fields/31" }, "id": "https://openalex.org/T11177", "subfield": { "display_name": "Atomic and Molecular Physics, and Optics", "id": "https://openalex.org/subfields/3107" } }, { "count": 2, "display_name": "Living Labs in Open Innovation Networks", "domain": { "display_name": "Social Sciences", "id": "https://openalex.org/domains/2" }, "field": { "display_name": "Business, Management and Accounting", "id": "https://openalex.org/fields/14" }, "id": "https://openalex.org/T14147", "subfield": { "display_name": "Management of Technology and Innovation", "id": "https://openalex.org/subfields/1405" } }, { "count": 2, "display_name": "Perceptions and Communication of Climate Change", "domain": { "display_name": "Social Sciences", "id": "https://openalex.org/domains/2" }, "field": { "display_name": "Social Sciences", "id": "https://openalex.org/fields/33" }, "id": "https://openalex.org/T11488", "subfield": { "display_name": "Sociology and Political Science", "id": "https://openalex.org/subfields/3312" } }, { "count": 2, "display_name": "Management and Reproducibility of Scientific Workflows", "domain": { "display_name": "Social Sciences", "id": "https://openalex.org/domains/2" }, "field": { "display_name": "Decision Sciences", "id": "https://openalex.org/fields/18" }, "id": "https://openalex.org/T11986", "subfield": { "display_name": "Information Systems and Management", "id": "https://openalex.org/subfields/1802" } }, { "count": 2, "display_name": "Impact of Big Data Analytics on Business Performance", "domain": { "display_name": "Social Sciences", "id": "https://openalex.org/domains/2" }, "field": { "display_name": "Business, Management and Accounting", "id": "https://openalex.org/fields/14" }, "id": "https://openalex.org/T11891", "subfield": { "display_name": "Management Information Systems", "id": "https://openalex.org/subfields/1404" } }, { "count": 2, "display_name": "Environmental Impacts of Fukushima Nuclear Disaster", "domain": { "display_name": "Physical Sciences", "id": "https://openalex.org/domains/3" }, "field": { "display_name": "Environmental Science", "id": "https://openalex.org/fields/23" }, "id": "https://openalex.org/T11089", "subfield": { "display_name": "Global and Planetary Change", "id": "https://openalex.org/subfields/2306" } } ], "updated_date": "2024-05-15T06:41:17.284193" }
}