Knauss legislative fellowships in Congress help build careers — and they're fun and educational. See our video and fact sheet for details.
Several forms are needed for submission to Maryland Sea Grant competitions. Select the forms specific to the relevant RFP. Forms are also available within the eSeaGrant submission portal.
Cover Sheet Examples: 2022 Omnibus Pre-proposal (docx)
Sea Grant Data Management Plan Form
NOAA Data Sharing Policy Procedural Directive
MDSG Data Management Policy and Guidance
Milestone Template Examples: docx pdf
Abbreviated Environmental Compliance Questionnaire (NEPA)
Budget (90-4): Note: For reference only. Use eSeaGrant budget worksheets, unless otherwise noted. Print the 90-4 document in eSeaGrant for your records. xlsx
Knauss legislative fellowships in Congress help build careers — and they're fun and educational. See our video and fact sheet for details.
Maryland Sea Grant has program development funds for start-up efforts or strategic support for emerging areas of research. Apply here.
Upper-level undergraduates are invited to apply for the Maryland Sea Grant REU program. This is a great opportunity to conduct research with a mentor and spend a summer by the Chesapeake Bay. Apply Here
Maryland Sea Grant will host a webinar to discuss expectations for research projects as well as developing the outreach sections of the pre- and full proposals. December 14 at noon. Register here.
Graduate Students: Apply for the Knauss Marine Policy fellowship program through February 19.
The Maryland Sea Grant College seeks pre-proposals for its next funding cycle, February 1, 2022 to January 31, 2024. Find out more here.
Smithville is a community on Maryland’s Eastern Shore, on the edge of the Blackwater National Wildlife Refuge. A century ago, Smithville had more than 100 residents. Today, it has four, in two homes: an elderly couple, and one elderly woman and her son, who cares for her.
Anna Windle uses satellites and drones to study water quality in Chesapeake Bay. In her spare time, Anna enjoys swimming, biking, and running to train for triathlons.
A spectral library of remote sensing reflectance for major phytoplankton taxonomic groups in the Chesapeake Bay will be developed using measured and modeled inherent optical properties as inputs into radiative transfer equations (HydroLight TM). The spectral library will be used to develop a phytoplankton discrimination algorithm in order to distinguish major phytoplankton taxa and sediment types in Chesapeake Bay waters.
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