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- - - About Faculty Commons
      
      Faculty Commons, A Center for Teaching, Learning, Scholarship and Service coordinates all professional development, grants and assessment activities of faculty at New York City College of Technology. Faculty Commons adopts a programmatic approach to professional development and operates as a faculty resource and think tank where members collaborate on a variety of projects to shape curriculum, pedagogy and assessment.
      
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      The Office of Sponsored Programs (OSP) helps faculty and administrators compete for and win grants that strengthen the intellectual climate and improve the learning environment at City Tech. The office provides notices of grant opportunities and works with faculty and administrators over the life-cycle of a grant – from concept development through close-out.
      
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- - - Opportunities, resources, and celebrations of faculty accomplishments in areas of research, scholarship, creative, and professional work.
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PARSE
- - - About PARSE
      
      The Professional Activity Report and Self-Evaluation (PARSE) is the documentation of a faculty member’s accomplishments during each academic year and cumulatively, in the three principal areas of teaching, scholarly and professional growth, and service. The PARSE serves as the basis for the annual evaluation. It is also provides faculty with an instrument to present to departmental and college review committees for reappointment, tenure, and promotion.
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Resources

Pegah Khosravi Featured in CUNY Research in Focus for AI-Driven Oncology Research

Pegah Kosravi (Biological Sciences) was featured in the inaugural issue of CUNY Research in Focus in October: “AI technology is transforming oncology and Dr. Pegah Khosravi stands at the forefront of this revolution. Now an Assistant Professor at the CUNY Graduate Center and New York City College of Technology (City Tech), as well as the founder of the BioMind AI Lab, her pioneering research in AI-driven oncology began in 2017 during a postdoctoral project at Weill Cornell Medical College. There, she developed an AI model to differentiate cancer biomarkers—while simultaneously battling breast cancer herself.” Read more . . .

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