TOOLS & RESOURCES

We develop new technologies and tools for partners, providing access to data and products that play an integral role in decision-making and public outreach. Our close collaboration with stakeholders acts as a framework for ensuring value-based design.

MIT Sea Grant has a rich history of technical innovation in coastal management, and we are eager to establish new relationships with partners through the development of tools for aquaculture, outreach, coastal adaption, risk assessment, and habitat restoration.

BATHYMETRIC MAPS OF LOCAL WATER BODIES

…of the Charles River and river herring spawning ponds for use by state organizations, resource and recreation managers, boaters, and the general public.

RIVER HERRING HABITAT MAPPING AND SIMULATION

River herring habitat mapping and spawning run simulation tool for habitat restoration and fish passage, used in education, consulting, and management planning.

CITY NATURE CHALLENGE BOSTON DELECTABLE OYSTERS QUEST

… a web-based data collection protocol that was developed by MIT Sea Grant for citizen scientists and the National Park Service, for use in research and management planning.

OCEAN ACIDIFICATION MONITORING

Shore-based ocean acidification monitoring station to support communications, transfer, monitoring, and modeling of data collected by offshore remote sensing technology.

LAGRANGIAN DRIFTING VEHICLE

We’re currently testing deployment of drifters with control computer, data storage, sensors measuring pH, temperature and conductivity, GPS navigation, and onboard communication, for use by ocean engineering, modeling, and water quality monitoring programs at the university and state level. Data is available real-time via the web for instant use in desktop and web-based applications.

ARTIFICIAL INTELLIGENCE RECOGNITION SOFTWARE

MIT Sea Grant Coastal Resources Program developed artificial intelligence image recognition software used to assist fisheries and resource managers with stock assessments and monitoring. The image recognition technology reduces the programmatic financial and resource burden associated with fisheries monitoring and assessments, while reducing error and uncertainty in monitoring and analysis.