Language Assistance 
Center of Excellence in Spatial Computing Grant Program
 | ||||||||||||||||||||||||||||||||||||||||||||
|
| | ||||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||||
 | ||||||||||||||||||||||||||||||||||||||||||||
Program Office: Fund for the Improvement of Postsecondary Education
CFDA Number: 84.116Q
Program Type: Discretionary/Competitive Grants
Also Known As: Spatial Computing Program (CESC)
Program Description
The Center of Excellence in Spatial Computing Grant Program provides funding to eligible institutions of higher education (IHEs) to increase the number of highly qualified Americans available for hire within the high-tech labor pool.
Types of Projects
Grants awarded under this program have performance periods of three years. To be considered for a grant in this program, the eligible institution(s) are expected to teach, improve, and disseminate spatial computing knowledge and skills required to increase the number of highly qualified Americans available to hire within the high-tech labor pool.
There is one absolute priority and one competitive preference priority in this competition.
Absolute Priority:
To be considered for a grant under this absolute priority, an eligible institution must include in its application—
(a) The member IHEs that constitute the consortium that will support the advancement of spatial computing;
(b) A description of how best practices and curricula will be evaluated and shared with computer science and other relevant programs;
(c) A description of how the consortium will establish leadership and competitiveness in spatial computing, including how it will promote innovative processes for domestic manufacturing of spatial computing technology products;
(d) A description of how the consortium will create educational and work placement opportunity programs to recruit, train, and retain underrepresented populations in the technology sector; and
(e) A description of how the consortium will develop case studies and skill-based workforce training and company-based education programs in spatial computing.
Competitive Preference Priority:
Leveraging Industry Partnerships to Provide Job-Embedded Experiences for Students in Spatial Computing Technologies (up to 10 points).
Projects that are designed to increase the proportion of underrepresented students with the skill sets necessary to meet industry demands in spatial computing by providing high-quality, paid, job-embedded opportunities that could potentially lead to stackable credentials in the field.
