A meta-project is an expansive interdisciplinary initiative designed to provide opportunities for student and faculty participation across all disciplines, transcend the temporal limitations of a single semester, and foster ongoing research, development, and integration efforts. Meta-projects benefit from the successive application of multiple smaller projects in order to advance an outcome much larger and synergistically effective than the sum of the individual parts. More information can be found in the CHI link below.
The Building Bridge of Knowledge (BBK) project is a CUNY-wide effort to help students use artificial intelligence (AI) tools ethically, responsively, and effectively. Funded by Lumina Foundation in 2024-25, the project will be executed by 25 Faculty Fellows in five disciplinary areas (Education, Health, Humanities, Social Sciences, and STEM) chosen from across CUNY’s senior and community colleges. Each disciplinary cohort will be led by a CUNY faculty member with expertise in the use of AI.
The Artificial Intelligence (AI) Task Force has been established to explore, coordinate and identify opportunities for the use of AI at the College. Reporting directly to the President, the Task Force currently supports the following:
Develop guidance
Build awareness
Explore opportunities
Develop technical systems
Ensure equity and ethical use
Building virtual audio environments to support research in Human/Machine collaboration for military ground operations
Using Unreal Engine integrated with VI-Grade simulation technologies, we will be creating an immersive environment with multiple perspectives including the pilot/driver of the main vehicle, its commander, other vehicle operators in the column, and the area commander. These perspectives will feature dynamically responsive audio from sources such as communications, internal systems, and external environmental sounds. Students will research, acquire, normalize, and catalog an extensive sound library, leveraging DAW and related tools to identify, record, and process sounds. Each sound will be indexed within a predefined framework to ensure seamless integration with the simulation.
Duration of project: from 1 to 5 years depending on results.
Funding: Congressional Appropriation for DoD