SOURCE-LINKED INTELLIGENCE
FW-HTF-R: INTERPRETABLE MACHINE LEARNING FOR HUMAN-MACHINE COLLABORATION IN HIGH STAKES DECISIONS IN MAMMOGRAPHY -THE SPECIFIC OBJECTIVES OF THE FUTURE OF WORK AT THE HUMAN-TECHNOLOGY FRONTIER PROGRAM ARE (1) TO FACILITA
FW-HTF-R: INTERPRETABLE MACHINE LEARNING FOR HUMAN-MACHINE COLLABORATION IN HIGH STAKES DECISIONS IN MAMMOGRAPHY -THE SPECIFIC OBJECTIVES OF THE FUTURE OF WORK AT THE HUMAN-TECHNOLOGY FRONTIER PROGRAM ARE (1) TO FACILITATE CONVERGENT RESEARCH THAT EMPLOYS THE JOINT PERSPECTIVES, METHODS, AND KNOWLEDGE OF COMPUTER SCIENCE, ENGINEERING, LEARNING SCIENCES, RESEARCH ON EDUCATION AND WORKFORCE TRAINING, AND SOCIAL, BEHAVIORAL, AND ECONOMIC SCIENCES; (2) TO ENCOURAGE THE DEVELOPMENT OF A RESEARCH COMMUNITY DEDICATED TO DESIGNING INTELLIGENT TECHNOLOGIES AND WORK ORGANIZATION AND MODES INSPIRED BY TH
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- recordType
- award
- region
- US
- value
- 1800000
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.