{
"USGS Staff Profile": {
"@context": "https://schema.org",
"@type": "Person",
"dateModified": "2024-09-21T07:59:31.345193",
"name": "Jordan S Read, PhD",
"identifier": [],
"jobTitle": "Chief, Data Science Branch",
"hasOccupation": [
{
"@type": "OrganizationalRole",
"startDate": "2024-09-21T07:59:31.354461",
"affiliatedOrganization": {
"@type": "Organization",
"name": "Water Resources Mission Area",
"url": "https://www.usgs.gov/mission-areas/water-resources"
},
"roleName": "Chief, Data Science Branch"
}
],
"description": [
{
"@type": "TextObject",
"additionalType": "short description",
"abstract": "Chief, Data Science Branch with the Water Resources Mission Area"
}
],
"email": null,
"url": "https://www.usgs.gov/staff-profiles/jordan-s-read",
"affiliation": [],
"hasCredential": [],
"knowsAbout": [],
"memberOf": {
"@type": "OrganizationalRole",
"name": "staff member",
"member": {
"@type": "Organization",
"name": "U.S. Geological Survey"
},
"startDate": "2024-09-21T07:59:31.345201",
"description": "Former Employee"
}
},
"ORCID": {
"@context": "http://schema.org",
"@id": "https://orcid.org/0000-0002-3888-6631",
"@reverse": {
"creator": [
{
"@id": "https://doi.org/10.1111/1752-1688.13093",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/1752-1688.13093"
},
"name": "Near\u2010term forecasts of stream temperature using deep learning and data assimilation in support of management decisions"
},
{
"@id": "https://doi.org/10.1139/cjfas-2022-0109",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1139/cjfas-2022-0109"
},
"name": "Connecting habitat to species abundance: the role of light and temperature on the abundance of walleye in lakes"
},
{
"@id": "https://doi.org/10.1002/lol2.10249",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/lol2.10249"
},
"name": "Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980\u20132020)"
},
{
"@id": "https://doi.org/10.1201/9781003143376-17",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1201/9781003143376-17"
},
"name": "Physics-Guided Architecture (PGA) of LSTM Models for Uncertainty Quantification in Lake Temperature Modeling"
},
{
"@id": "https://doi.org/10.1201/9781003143376-16",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1201/9781003143376-16"
},
"name": "Physics-Guided Recurrent Neural Networks for Predicting Lake Water Temperature"
},
{
"@id": "https://doi.org/10.1029/2021wr030138",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021wr030138"
},
"name": "Multi\u2010Task Deep Learning of Daily Streamflow and Water Temperature"
},
{
"@id": "https://doi.org/10.1137/1.9781611977172.79",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1137/1.9781611977172.79"
},
"name": "Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling"
},
{
"@id": "https://doi.org/10.1016/b978-0-12-819166-8.00121-3",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/b978-0-12-819166-8.00121-3"
},
"name": "Machine Learning for Understanding Inland Water Quantity, Quality, and Ecology"
},
{
"@id": "https://doi.org/10.1029/2021wr029579",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021wr029579"
},
"name": "Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta\u2010Transfer Learning"
},
{
"@id": "https://doi.org/10.1016/j.ecolmodel.2020.109136",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecolmodel.2020.109136"
},
"name": "Predicting lake surface water phosphorus dynamics using process-guided machine learning"
},
{
"@id": "https://doi.org/10.1029/2019wr024922",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2019wr024922"
},
"name": "Process\u2010Guided Deep Learning Predictions of Lake Water Temperature"
},
{
"@id": "https://doi.org/10.1002/lno.11154",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/lno.11154"
},
"name": "Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes"
},
{
"@id": "https://doi.org/10.1029/2019gl083478",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2019gl083478"
},
"name": "Cross\u2010Scale Interactions Dictate Regional Lake Carbon Flux and Productivity Response to Future Climate"
},
{
"@id": "https://doi.org/10.1038/sdata.2018.292",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/sdata.2018.292"
},
"name": "The metabolic regimes of 356 rivers in the United States"
},
{
"@id": "https://doi.org/10.1038/sdata.2017.53",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/sdata.2017.53"
},
"name": "Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes"
},
{
"@id": "https://doi.org/10.1080/iw-6.4.889",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/iw-6.4.889"
},
"name": "Generating community-built tools for data sharing and analysis in environmental networks"
},
{
"@id": "https://doi.org/10.1002/2015gl066235",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2015gl066235"
},
"name": "Rapid and highly variable warming of lake surface waters around the globe"
},
{
"@id": "https://doi.org/10.1002/lom3.10006",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/lom3.10006"
},
"name": "A method for estimating the diffuse attenuation coefficient (KdPAR) from paired temperature sensors"
},
{
"@id": "https://doi.org/10.1016/j.rse.2014.10.024",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2014.10.024"
},
"name": "Examining the utility of satellite-based wind sheltering estimates for lake hydrodynamic modeling"
},
{
"@id": "https://doi.org/10.5268/iw-5.1.740",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5268/iw-5.1.740"
},
"name": "Does lake size matter? Combining morphology and process modeling to examine the contribution of lake classes to population-scale processes"
},
{
"@id": "https://doi.org/10.1016/j.ecolmodel.2014.07.029",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.ecolmodel.2014.07.029"
},
"name": "Simulating 2368 temperate lakes reveals weak coherence in stratification phenology"
},
{
"@id": "https://doi.org/10.4319/lom.2014.12.303",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.4319/lom.2014.12.303"
},
"name": "Improving the precision of lake ecosystem metabolism estimates by identifying predictors of model uncertainty"
},
{
"@id": "https://doi.org/10.1002/2013gl058679",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2013gl058679"
},
"name": "Decadal oscillation of lakes and aquifers in the upper Great Lakes region of North America: Hydroclimatic implications"
},
{
"@id": "https://doi.org/10.1111/fwb.12258",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/fwb.12258"
},
"name": "Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution"
},
{
"@id": "https://doi.org/10.1007/s10661-013-3424-8",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s10661-013-3424-8"
},
"name": "Evaluation of wireless sensor networks (WSNs) for remote wetland monitoring: design and initial results"
},
{
"@id": "https://doi.org/10.4319/lo.2013.58.3.0921",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.4319/lo.2013.58.3.0921"
},
"name": "Physical responses of small temperate lakes to variation in dissolved organic carbon concentrations"
},
{
"@id": "https://doi.org/10.1128/aem.02226-12",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1128/aem.02226-12"
},
"name": "Lineage-specific responses to environmental change in microbial communities"
},
{
"@type": "CreativeWork",
"name": "Impact of climate change on Cannonsville reservoir thermal structure in the New York City Water Supply"
},
{
"@id": "https://doi.org/10.1016/j.envsoft.2012.02.014",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.envsoft.2012.02.014"
},
"name": "Time-scale dependence in numerical simulations: Assessment of physical, chemical, and biological predictions in a stratified lake from scales of hours to months"
},
{
"@id": "https://doi.org/10.4319/lom.2011.9.14",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.4319/lom.2011.9.14"
},
"name": "\"Gradual Entrainment Lake Inverter\" (GELI): A novel device for experimental lake mixing"
},
{
"@id": "https://doi.org/10.1016/j.envsoft.2011.05.006",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.envsoft.2011.05.006"
},
"name": "Derivation of lake mixing and stratification indices from high-resolution lake buoy data"
},
{
"@id": "https://doi.org/10.4319/lo.2012.57.5.1317",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.4319/lo.2012.57.5.1317"
},
"name": "Ecosystem metabolism in a stratified lake"
},
{
"@id": "https://doi.org/10.1890/11-1227.1",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1890/11-1227.1"
},
"name": "Eradication via destratification: whole-lake mixing to selectively remove rainbow smelt, a cold-water invasive species"
},
{
"@id": "https://doi.org/10.1038/ismej.2012.56",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/ismej.2012.56"
},
"name": "Lake microbial communities are resilient after a whole-ecosystem disturbance"
},
{
"@id": "https://doi.org/10.1029/2012gl051886",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2012gl051886"
},
"name": "Lake-size dependency of wind shear and convection as controls on gas exchange"
},
{
"@id": "https://doi.org/10.1111/j.1462-2920.2011.02546.x",
"@type": "CreativeWork",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1111/j.1462-2920.2011.02546.x"
},
"name": "Resistance, resilience and recovery: aquatic bacterial dynamics after water column disturbance"
}
]
},
"@type": "Person",
"address": {
"@type": "PostalAddress",
"addressCountry": "US"
},
"affiliation": {
"@type": "Organization",
"identifier": {
"@type": "PropertyValue",
"propertyID": "RINGGOLD",
"value": "606812"
},
"name": "Consortium of Universities for the Advancement of Hydrologic Science Inc"
},
"alumniOf": {
"@type": "Organization",
"alternateName": "Civil and Environmental Engineering",
"identifier": {
"@type": "PropertyValue",
"propertyID": "RINGGOLD",
"value": "5228"
},
"name": "University of Wisconsin - Madison"
},
"familyName": "Read",
"givenName": "Jordan",
"mainEntityOfPage": "https://orcid.org/0000-0002-3888-6631",
"name": "Jordan S. Read",
"url": "https://www.usgs.gov/staff-profiles/jordan-s-read"
},
"OpenAlex": {
"created_date": "2023-07-21",
"display_name": "Jordan S. Read",
"display_name_alternatives": [
"J. Read",
"Jordan S. Read",
"J. S. Read",
"Jordan Read"
],
"ids": {
"openalex": "https://openalex.org/A5044490476",
"orcid": "https://orcid.org/0000-0002-3888-6631"
},
"last_known_institutions": [
{
"country_code": "US",
"display_name": "Consortium of Universities for the Advancement of Hydrologic Science",
"id": "https://openalex.org/I4210140541",
"lineage": [
"https://openalex.org/I4210140541"
],
"ror": "https://ror.org/04s2bx355",
"type": "nonprofit"
}
],
"orcid": "https://orcid.org/0000-0002-3888-6631",
"topics": [
{
"count": 44,
"display_name": "Hydrological Modeling using Machine Learning Methods",
"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/T11490",
"subfield": {
"display_name": "Environmental Engineering",
"id": "https://openalex.org/subfields/2305"
}
},
{
"count": 43,
"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": 38,
"display_name": "Importance and Conservation of Freshwater Biodiversity",
"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/T10302",
"subfield": {
"display_name": "Nature and Landscape Conservation",
"id": "https://openalex.org/subfields/2309"
}
},
{
"count": 31,
"display_name": "Marine Biogeochemistry and Ecosystem Dynamics",
"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/T10032",
"subfield": {
"display_name": "Oceanography",
"id": "https://openalex.org/subfields/1910"
}
},
{
"count": 28,
"display_name": "Eutrophication and Harmful Algal Blooms",
"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/T10236",
"subfield": {
"display_name": "Environmental Chemistry",
"id": "https://openalex.org/subfields/2304"
}
},
{
"count": 13,
"display_name": "Oceanic Modeling and Circulation Studies",
"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/T10255",
"subfield": {
"display_name": "Oceanography",
"id": "https://openalex.org/subfields/1910"
}
},
{
"count": 12,
"display_name": "Physics-Informed Neural Networks for Scientific Computing",
"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/T11206",
"subfield": {
"display_name": "Statistical and Nonlinear Physics",
"id": "https://openalex.org/subfields/3109"
}
},
{
"count": 9,
"display_name": "Global Flood Risk Assessment and 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/T10930",
"subfield": {
"display_name": "Global and Planetary Change",
"id": "https://openalex.org/subfields/2306"
}
},
{
"count": 8,
"display_name": "Real-time Water Quality Monitoring and Aquaculture 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/T12697",
"subfield": {
"display_name": "Water Science and Technology",
"id": "https://openalex.org/subfields/2312"
}
},
{
"count": 7,
"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": 6,
"display_name": "Advanced Techniques in Reservoir Management",
"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/T11801",
"subfield": {
"display_name": "Ocean Engineering",
"id": "https://openalex.org/subfields/2212"
}
},
{
"count": 6,
"display_name": "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems",
"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/T11311",
"subfield": {
"display_name": "Environmental Chemistry",
"id": "https://openalex.org/subfields/2304"
}
},
{
"count": 6,
"display_name": "Ecological Impact of Freshwater Mussels",
"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/T12097",
"subfield": {
"display_name": "Ecology",
"id": "https://openalex.org/subfields/2303"
}
},
{
"count": 5,
"display_name": "Data Sharing and Stewardship in Science",
"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/T11937",
"subfield": {
"display_name": "Information Systems",
"id": "https://openalex.org/subfields/1710"
}
},
{
"count": 5,
"display_name": "Diagnosis and Management of Adrenal Insufficiency",
"domain": {
"display_name": "Health Sciences",
"id": "https://openalex.org/domains/4"
},
"field": {
"display_name": "Medicine",
"id": "https://openalex.org/fields/27"
},
"id": "https://openalex.org/T12421",
"subfield": {
"display_name": "Endocrinology, Diabetes and Metabolism",
"id": "https://openalex.org/subfields/2712"
}
},
{
"count": 5,
"display_name": "Neural Network Fundamentals and Applications",
"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/T10320",
"subfield": {
"display_name": "Artificial Intelligence",
"id": "https://openalex.org/subfields/1702"
}
},
{
"count": 5,
"display_name": "Marine Microbial Diversity and Biogeography",
"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/T11791",
"subfield": {
"display_name": "Ecology",
"id": "https://openalex.org/subfields/2303"
}
},
{
"count": 4,
"display_name": "Climate Change and Paleoclimatology",
"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/T10017",
"subfield": {
"display_name": "Atmospheric Science",
"id": "https://openalex.org/subfields/1902"
}
},
{
"count": 4,
"display_name": "Management of Primary Aldosteronism",
"domain": {
"display_name": "Health Sciences",
"id": "https://openalex.org/domains/4"
},
"field": {
"display_name": "Medicine",
"id": "https://openalex.org/fields/27"
},
"id": "https://openalex.org/T11839",
"subfield": {
"display_name": "Endocrinology, Diabetes and Metabolism",
"id": "https://openalex.org/subfields/2712"
}
},
{
"count": 4,
"display_name": "Global Methane Emissions and 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/T11588",
"subfield": {
"display_name": "Global and Planetary Change",
"id": "https://openalex.org/subfields/2306"
}
},
{
"count": 4,
"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": 3,
"display_name": "Molecular Biology of Steroidogenesis and Disorders",
"domain": {
"display_name": "Life Sciences",
"id": "https://openalex.org/domains/1"
},
"field": {
"display_name": "Biochemistry, Genetics and Molecular Biology",
"id": "https://openalex.org/fields/13"
},
"id": "https://openalex.org/T11956",
"subfield": {
"display_name": "Molecular Biology",
"id": "https://openalex.org/subfields/1312"
}
},
{
"count": 3,
"display_name": "Numerical Weather Prediction Models",
"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/T10466",
"subfield": {
"display_name": "Atmospheric Science",
"id": "https://openalex.org/subfields/1902"
}
},
{
"count": 3,
"display_name": "Length-Weight Relationships of Fish Species",
"domain": {
"display_name": "Life Sciences",
"id": "https://openalex.org/domains/1"
},
"field": {
"display_name": "Agricultural and Biological Sciences",
"id": "https://openalex.org/fields/11"
},
"id": "https://openalex.org/T12319",
"subfield": {
"display_name": "Aquatic Science",
"id": "https://openalex.org/subfields/1104"
}
},
{
"count": 3,
"display_name": "Scientific Computing and Data Analysis with Python",
"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/T13650",
"subfield": {
"display_name": "Artificial Intelligence",
"id": "https://openalex.org/subfields/1702"
}
}
],
"updated_date": "2024-05-16T14:45:36.718629"
}
}