**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** GOOD ANIMAL WELFARE FOR FARM ANIMALSIS IMPORTANT TO ALL IN THE DAIRY INDUSTRY, INCLUDING PRODUCERS, PROCESSORS, DISTRIBUTORS, AND COOPERATIVES. THE DEVELOPMENT OF A WAY TO AUTOMATICALLY EVALUATETHE ANIMALWELFARE LEVEL OF THE CATTLE ON-FARM IS FUNDAMENTAL. TECHNOLOGIES THAT MONITOR THE PHYSIOLOGY, BEHAVIOR AND PERFOMANCE OF THE ANIMALS AT THE INDIVIDUAL ANIMAL LEVEL ALREADY EXIST. BEFORE THESE TECHNOLOGIES CAN BE USEFUL IN ASSESSING ANIMAL WELFARE, PREDICTIVE MODELS AND VALIDATIONS MUST FIRST BE DONE. BEYOND THE MONITORING OF ANIMAL WELFARE LEVEL ON FARMS, THE PUBLIC HAS TO TRUST THE SYSTEM AND BE ENGAGED IN THE PROCESS. THEREFORE, THE PUBLIC MUST BE ENGAGED TO ESTABLISH WHICH ASPECTS OF THESE TECHNOLOGIES MAY GENERATE SOCIAL ACCEPTANCE OR CONCERN. THUS, OUR PROPOSED INTEGRATED RESEARCH AND EXTENSION PROJECT AIMS TO BRIDGE THE USE OF TECHNOLOGIES THAT MONITOR EACH ANIMAL ON A DAIRY FARM WITH THE SOCIAL ASPECTS OF ANIMAL WELFARE. WE WILL DEVELOP MODELS AND VALIDATE THE USE OF MULTIPLE, INTEGRATED TECHNOLOGIES TO PREDICT COMMON ANIMAL WELFARE ASSESSMENT OUTCOMES THAT CAN BE MONITORED REMOTELY WHILE SIMULTANEOUSLY ENGAGING DAIRY PRODUCERS AND THE PUBLIC IN TWO-WAY CONVERSATIONS ABOUT THE ROLE OF THESE TECHNOLOGIES ON-FARM. OUR MULTIDISCIPLINARY PROJECT WILL INTEGRATE SCIENTIFIC ASSESSMENTS OF ANIMAL WELFARE, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, DAIRY PRODUCTION KNOWLEDGE, AND SOCIAL SCIENCE TO PROVIDE PRACTICAL RECOMMENDATIONS FOR THE SUSTAINABLEUSE OF TECHNOLOGIES THAT MONITOR EACH ANIMAL ON-FARM.