Waves of Change Grant

The International Trade Facility Grant Program gives grants to eligible international trade facilities (ITFs) that increase qualified trade activities at port facilities in Virginia. To qualify, companies must also improve their port cargo volume growth by 5% from the previous year. The grant amount is $3,500 per new job created from the increased trade activities.

The Manufacturing Reinvented grant is a fully-funded opportunity tailored for Cook County manufacturers to enhance their production and sales, develop leadership, and train their workforce. It offers reimbursement for projects that focus on operational improvements, leadership and strategy development, sales and marketing growth, and workforce training.

​The Wisconsin Department of Agriculture, Trade and Consumer Protection administers a Dairy Processor Grant program whose goal is to foster innovation, improve profitability and sustain the long-term viability of Wisconsin’s dairy processing facilities. Eligible applicants must operate a licensed dairy processing plant in Wisconsin engaged in pasteurizing, processing or manufacturing m​ilk or dairy products. Recipients are chosen through a competitive process. A total grant up to $50,000 is available per dairy processor per year. The dairy processor is required to provide a match of at least 20% of the grant amount.​

The Biosensing program is part of the Engineering Biology and Health cluster, which also includes 1) the Biophotonics program; 2) the Cellular and Biochemical Engineering program; 3) the Disability and Rehabilitation Engineering program; and 4) the Engineering of Biomedical Systems program. The Biosensing program supports fundamental engineering research in the monitoring, identification and/or quantification of biological analytes and phenomena using innovations that exist at the intersection of engineering, life sciences, and information technology. Projects submitted to the program must advance both engineering and life sciences. The Biosensing program encourages proposals that, in addition to advancing biosensing technology, address critical sensor needs in biomedical research, public health, food safety, agriculture, forensics, environmental protection, and homeland security. Proposals are especially encouraged in areas of critical need: sensing technologies that can enable monitoring and surveillance of the environment and/or individuals for novel infectious agents; platform technologies that can readily be modified as soon as new agents are detected, sequenced, and/or otherwise characterized to enable rapid deployment of sensors in clinics and the environment; and adaptive and/or multiplex sensing technologies that can help the nation prevent the spread of the next global pandemic. Major areas of interest for the program include: -Novel signal transduction principles and mechanisms that enable sensitive and specific biosensors, suitable for measurements in multiple areas; -Design of novel biorecognition elements and appropriately designed transducing systems to enable adaptable and/or reconfigurable operating parameters in response to environmental changes or application needs at levels of device, system, or data analysis; -Development of adaptive and/or evolvable biosensing systems for detection of novel target analytes or analytes under novel conditions; -Novel synthetic biology approaches for the development of cell-free and cell-based biosensors; and -Combining biosensors with artificial intelligence (AI) methods to improve sensor specificity and response time.

The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. This funding opportunity focuses on biomedical discovery and data-powered health, integrating streams of complex and interconnected research outputs that can be translated into scientific insights, clinical care, public health practices, and personal wellness to ensure the research is scalable, reproducible, and generalizable. The scope of NLM's interest in these research domains is broad, with emphasis on new and innovative methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, scalable, and reusable approaches to discovery, curation, analysis, organization, and management of health-related data and digital objects.