Geoinformatics & Remote Sensing — Federal Grants

Conference: 2027 Label-Free Single Molecule Sensing Gordon Research Conference and Seminar

Georgios Alexandrakis · Gordon Research Conferences

Collaborative Research: Group Structure, Hydrodynamics, and Sensing of Squids during Collective Swimming

Joseph Thompson · Franklin and Marshall College

Collaborative Research: Group Structure, Hydrodynamics, and Sensing of Squids during Collective Swimming

Ian Bartol · Old Dominion University Research Foundation

Collaborative Research: Group Structure, Hydrodynamics, and Sensing of Squids during Collective Swimming

Eli Olinick · Southern Methodist University

Collaborative Research: Group Structure, Hydrodynamics, and Sensing of Squids during Collective Swimming

Paul Krueger · University of North Texas

Workshop on the Air-Water-Energy Nexus for the United States Intermountain West

Armin Sorooshian · University of Arizona

Collaborative Research: Assessing Wild Bee Resilience to Heat Waves across Scales of Biological Organization

Rachael Winfree · Rutgers University New Brunswick

Collaborative Research: Assessing Wild Bee Resilience to Heat Waves across Scales of Biological Organization

Neal Williams · University of California-Davis

Travel: Student Travel Support for 2027 IEEE Radio & Wireless Week

Davi V Q Rodrigues · University of Texas at El Paso

Collaborative Research: ARTS: Training A New Generation of Systematists and Completing the Monograph of Protium (Burseraceae) a Hyperdiverse Tropical Tree Clade

Paul Fine · University of California-Berkeley

Collaborative Research: Assessing Wild Bee Resilience to Heat Waves across Scales of Biological Organization

Jeremy Hemberger · University of Minnesota-Twin Cities

REU Site: Undergraduate Research Experiences on Resilient and Sustainable Infrastructure Systems in Smart Cities

Allison MacKay · OHIO STATE UNIVERSITY, THE

INTERNATIONAL BUSINESS MACHINES CORPORATION

INFLATION REDUCTION ACT (IRA): END-TO-END, MULTI-MODAL, HIGH RESOLUTION METHANE INVENTORY QUANTIFICATION (E2E-METHANE-IQ) THE OBJECTIVE OF THIS SCOPE IS TO DEVELOP AN END-TO-END, MULTI-MODAL, HIGH RESOLUTION METHANE INVENTORY QUANTIFICATION (E2E-METHANE-IQ) TECHNOLOGY, WHICH WILL BE (I) FULLY VALIDATED THROUGH MULTIPLE MEASUREMENT CAMPAIGNS IN ALL MAJOR BASINS IN THE WESTERN UNITED STATES (INCLUDING UINTA, FOUR CORNERS, SAN JOAQUIN, GREEN RIVER, MONTANA, BIG HORN, ETC.), (II) AGNOSTIC TO THE INDIVIDUAL SENSING TECHNOLOGIES, (III) FULLY SCALABLE AND OPERATIONALLY FROM EQUIPMENT TO REGIONAL LEVEL AND FROM MINUTES TO MONTHS, AND (IV) READILY EXTENSIBLE TO ACCOMMODATE SPECIFIC NEEDS IN CERTAIN REGIONS OR APPLICATIONS.