Fairfield University

RECIPIENT’S FUNDING CERTIFICATION AND AGREEMENT FOR THE INSTITUTIONAL PORTION OF THE HIGHER EDUCATION EMERGENCY RELIEF FUND FORMULA GRANTS AUTHORIZED BY SECTION 18004(A)ECONOMIC SECURITY (CARES) ACT

EMERGENCY FINANCIAL AID GRANTS TO STUDENTS UNDER THE CORONAVIRUS AID, RELIEF, AND ECONOMIC SECURITY (CARES) ACT.

ADVANCED NURSING EDUCATION WORKFORCE

FAIRFIELD UNIVERSITY UPWARD BOUND PROGRAM FY2022-FY2027

UPWARD BOUND PROGRAM

UPWARD BOUND

BEHAVIORAL HEALTH WORKFORCE EDUCATION AND TRAINING PROGRAM

UPWARD BOUND PROGRAM

ENGLISH LANGUAGE ACQUISITION: NATIONAL PROFESSIONAL DEVELOPMENT PROGRAM

ADVANCED NURSING EDUCATION WORKFORCE

ADVANCED EDUCATION NURSING TRAINEESHIP

ADVANCED NURSING EDUCATION GRANTS

STUDENT SUPPORT SERVICES PROGRAM

STUDENT SUPPORT SERVICES PROGRAM

TRIO - STUDENT SUPPORT SERVICES - STUDENT SUPPORT SERVICES PROGRAM

ENGLISH LANGUAGE ACQUISITION: NATIONAL PROFESSIONAL DEVELOPMENT PROGRAM

MATERNITY CARE NURSING WORKFORCE EXPANSION (MATCARE) TRAINING PROGRAM

COMPREHENSIVE GERIATRIC EDUCATION PROGRAM

COLLABORATIVE RESEARCH: RUI: EVALUATING FORM-FUNCTION-FITNESS RELATIONSHIPS IN POLYPHENIC BLUEGILL

TRIO - TALENT SEARCH - TALENT SEARCH PROGRAM

BELLARMINE MUSEUM PROJECT

ADVANCED NURSING EDUCATION GRANTS

BROADENING ACCESS TO SCIENCE EDUCATION

ADVANCED EDUCATION NURSING TRAINEESHIP

NURSE ANESTHETIST TRAINEESHIPS

MRI: ACQUISITION OF A 400 MHZ NMR SPECTROMETER AT FAIRFIELD UNIVERSITY

ONE TIME GRANT COMPETITION - COMPETITION A -- CAPACITY BUILDING FOR UNDERGRADUAT STUDY

HYPERSPECTRAL LOW COHERENCE ENHANCED BACKSCATTERING MESOSCOPIC TOMOGRAPHY FOR ANALYSIS AND RISK STRATIFICATION OF PROSTATE CANCER

REU SITE: FAIRFIELD REU IN MATHEMATICS AND COMPUTATIONAL SCIENCE

MRI: ACQUISITION OF A MALDI-TOF MASS SPECTROMETER AT FAIRFIELD UNIVERSITY

DEVELOPMENT OF SMALL MOLECULE INHIBITORS THE TNF-ALPHA/TNF-R55 INTERACTION

REU SITE: FAIRFIELD REU IN MATHEMATICS AND COMPUTATIONAL SCIENCE

LEAPS-MPS: ANTI-RAMSEY PROPERTIES OF GRAPHS AND OTHER COMBINATORIAL OBJECTS -GRAPHS PLAY A CRUCIAL ROLE IN MODELING RELATIONS IN REAL WORLD APPLICATIONS, FOR EXAMPLE, IN COMPUTER NETWORKS, COMPUTER GRAPHICS, ELECTRIC CIRCUIT DESIGNS. THIS PROJECT AIMS TO STUDY ANTI-RAMSEY PROPERTIES OF GRAPHS. IT WAS ORIGINALLY MOTIVATED BY THE PROBLEMS POSED IN RAMSEY THEORY, ONE OF THE MOST FUNDAMENTAL AND THRIVING AREAS IN DISCRETE MATHEMATICS. THE PROJECT FOR GRAPHS NATURALLY EXTENDS TO SOLUTIONS OF EQUATIONS, RESULTING IN AN INTERESTING CONNECTION TO COMBINATORIAL NUMBER THEORY. THE PI WILL INVOLVE BOTH UNDERGRADUATE AND GRADUATE STUDENTS IN THIS PROJECT. THE PI WILL CAREFULLY INTEGRATE EDUCATION WITH RESEARCH BY PROVIDING NECESSARY TOOLS AND EASING STUDENTS INTO RESEARCH. STUDENTS WILL BE EXPOSED TO ALL STAGES OF CONDUCTING ORIGINAL RESEARCH, FROM COLLABORATION WITH EACH OTHER TO WRITING PROCESS, AS WELL AS PRESENTING RESULTS AT CONFERENCES. THE STUDY OF ANTI-RAMSEY PROPERTIES OF GRAPHS AND SOLUTIONS TO EQUATIONS IS A RELATIVELY NEW AND UNEXPLORED RESEARCH AREA. THE PROJECT FOCUSES ON FINDING RAINBOW SUBSTRUCTURES IN COLORED OBJECTS. IN PARTICULAR, THE PI WILL STUDY RAINBOW NUMBERS, THE SMALLEST NUMBER OF COLORS NEEDED TO GUARANTEE A RAINBOW ARITHMETIC PROGRESSION IN A GRAPH, SET OF INTEGERS, OR INTEGERS MODULO N. THE WORK WILL EMPLOY TECHNIQUES FROM COMBINATORICS, ALGEBRA, NUMBER THEORY, IN ADDITION TO COMPUTER-AIDED COMPUTATIONS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

RUI: NONUNIFORMLY HYPERBOLIC DYNAMICAL SYSTEMS OUT OF EQUILIBRIUM

COMPREHENSIVE AND INCLUSIVE VICTIM SPECIFIC SERVICES AT FAIRFIELD UNIVERSITY

RUI: NONUNIFORMLY HYPERBOLIC AND EXTENDED DYNAMICAL SYSTEMS -THE PI WILL INVESTIGATE THE PROPERTIES OF CHAOTIC DYNAMICAL SYSTEMS THAT ARE OUT OF EQUILIBRIUM DUE TO THE INFLUENCE OF EITHER EXTERNAL FORCES OR INTERCONNECTED COMPONENTS. RESEARCH IN DYNAMICAL SYSTEMS IS OFTEN FOCUSED ON CLOSED SYSTEMS IN WHICH THE DYNAMICS ARE SELF-CONTAINED. IN MANY MODELING SITUATIONS, HOWEVER, SUCH A GLOBAL VIEW IS NOT POSSIBLE, AND IT BECOMES NECESSARY TO STUDY LOCAL SYSTEMS INFLUENCED BY EXTERNAL DYNAMICS, POSSIBLY ON DIFFERENT SPATIAL OR TEMPORAL SCALES. TO BETTER UNDERSTAND THESE PHENOMENA, THE PI WILL STUDY OPEN SYSTEMS IN WHICH MASS OR ENERGY MAY ENTER OR EXIT THROUGH DETERMINISTIC OR RANDOM MECHANISMS, AS WELL AS LARGE-SCALE SYSTEMS OF SMALLER INTERACTING COMPONENTS THAT EXCHANGE MASS OR ENERGY. THESE PROBLEMS ARE STRONGLY MOTIVATED BY CONNECTIONS WITH STATISTICAL MECHANICS AND SEEK TO ADVANCE OUR UNDERSTANDING OF FUNDAMENTAL QUESTIONS RELATED TO ENERGY TRANSPORT AND DIFFUSION. THIS AWARD WILL ALSO SUPPORT THE INVOLVEMENT OF UNDERGRADUATES IN MATHEMATICS RESEARCH. THE HIGHLY VISUAL NATURE AND PHYSICAL MOTIVATION OF THE PROBLEMS WILL ENABLE THE INVESTIGATOR TO RECRUIT UNDERGRADUATE STUDENTS TO PARTICIPATE IN RELATED RESEARCH PROJECTS. SPECIAL EMPHASIS WILL BE GIVEN TO RECRUITING STUDENTS FROM UNDERREPRESENTED GROUPS IN RESEARCH MATHEMATICS. STUDENTS WILL DISSEMINATE RESULTS OF THEIR RESEARCH VIA POSTER SESSIONS, CONFERENCE PRESENTATIONS AND PUBLICATIONS IN PEER-REVIEWED JOURNALS. BY STIMULATING INTEREST IN RESEARCH CAREERS IN MATHEMATICS AND CREATING A PEER COMMUNITY SUPPORTIVE OF THAT INTEREST, THIS AWARD WILL CONTRIBUTE TO THE IMPORTANT GOAL OF INTEGRATING RESEARCH AND EDUCATION. THE FUNDED RESEARCH INCLUDES THREE SPECIFIC PROJECTS. THE FIRST PROJECT INVESTIGATES THE STATISTICAL AND THERMODYNAMIC PROPERTIES OF BOTH CLASSICAL AND NON-EQUILIBRIUM PARTICLE SYSTEMS WITH COLLISION INTERACTIONS, AN IMPORTANT CLASS OF MODELS FROM STATISTICAL MECHANICS. THE SECOND CONCERNS OPEN SYSTEMS, WHICH RELATE ON THE ONE HAND TO PHYSICAL SYSTEMS IN WHICH MASS OR ENERGY IS ALLOWED TO ESCAPE, AND ON THE OTHER TO THE STUDY OF METASTABLE STATES. THE THIRD PROJECT GENERALIZES OPEN SYSTEMS TO INCLUDE LINKED AND EXTENDED DYNAMICAL SYSTEMS COMPRISED OF TWO OR MORE COMPONENTS THAT EXCHANGE MASS OR ENERGY THROUGH DETERMINISTIC OR RANDOM MECHANISMS. IMPORTANT EXAMPLES INCLUDE THE APERIODIC LORENTZ GAS AND MECHANICAL MODELS OF HEAT CONDUCTION. THE INVESTIGATOR WILL BRING TO BEAR SEVERAL ANALYTICAL TECHNIQUES THAT HE HAS BEEN INSTRUMENTAL IN DEVELOPING FOR THESE CLASSES OF SYSTEMS, INCLUDING HIS RECENT WORK CONCERNING THE SPECTRAL DECOMPOSITION OF TRANSFER OPERATORS FOR DISPERSING PARTICLE SYSTEMS, CONTRACTIONS IN PROJECTIVE CONES DUE TO BIRKHOFF, AND THE CONSTRUCTION OF MARKOV EXTENSIONS ADAPTED TO OPEN SYSTEMS. NONE OF THESE TECHNIQUES REQUIRE MARKOVIAN ASSUMPTIONS ON THE DYNAMICS, MAKING THEM WIDELY APPLICABLE TO A WIDE VARIETY OF NONUNIFORMLY HYPERBOLIC AND PHYSICALLY IMPORTANT SYSTEMS. THE APPLICATION OF THESE TECHNIQUES TO CENTRAL MODELS FROM EQUILIBRIUM AND NON-EQUILIBRIUM STATISTICAL MECHANICS WILL REPRESENT SIGNIFICANT ADVANCES IN THE STUDY OF SUCH SYSTEMS. EFFORTS TO UNDERSTAND THESE TOOLS IN ONE CONTEXT STRENGTHENS THEM AND AIDS IN THEIR APPLICATION TO OTHER AREAS OF MATHEMATICS. THEIR INTELLECTUAL INTEREST IS ENHANCED BY THE APPLICATION OF THESE IDEAS TO RESOLVE PROBLEMS POSED AND APPROACHED FORMALLY IN THE PHYSICS LITERATURE. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

ARRA - EQUIPMENT TO ENHANCE TRAINING FOR HEALTH PROFESSIONALS

ETHICAL THINKING AND CASE ANALYSIS IN ARTIFICIAL INTELLIGENCE EDUCATION -THIS IUSE LEVEL 1 ENGAGED STUDENT LEARNING PROJECT AIMS TO SERVE THE NATIONAL INTEREST BY ENHANCING ARTIFICIAL INTELLIGENCE (AI) EDUCATION THROUGH THE INTEGRATION OF ETHICAL CONSIDERATIONS IN AI CURRICULA, FOSTERING DESIGN AND DEVELOPMENT OF RESPONSIBLE AND SECURE AI SYSTEMS. THE PROJECT WILL DEVELOP AN INNOVATIVE PEDAGOGICAL STRATEGY THAT INCLUDES CLASSROOM DISCUSSIONS ON AI ETHICS CASE STUDIES AND AN OPEN-ACCESS REPOSITORY OF CASE STUDIES, TO EQUIP STUDENTS WITH PRACTICAL TOOLS FOR ETHICAL DECISION-MAKING. ITS UNIQUE FEATURE IS THE CASE-BASED PLUG-AND-PLAY INSTRUCTIONAL MODULE, WHICH ENSURES ADAPTABILITY AND SUSTAINABILITY BY ACCOMMODATING DIFFERENT LEARNING STYLES AND ENABLING EASY INTEGRATION INTO AI-RELATED COURSES. BY ADVANCING AI EDUCATION WITH A SCALABLE APPROACH TO ETHICS, THE PROJECT SUPPORTS THE DEVELOPMENT OF A RESPONSIBLE AI WORKFORCE AND PROMOTES THE APPLICATION OF ETHICAL PRINCIPLES IN REAL-WORLD AI CHALLENGES. THE PROJECT PLANS TO ADVANCE UNDERSTANDING OF AI ETHICS EDUCATION BY INTEGRATING CASE STUDIES AND GAMIFIED LEARNING MODULES TO ENHANCE UNDERGRADUATE STEM STUDENTS' ENGAGEMENT AND PROFICIENCY, ADDRESSING THE CRITICAL NEED FOR ETHICAL REASONING IN AI DEVELOPMENT. PROJECT GOALS INCLUDE DESIGNING AN ETHICS-FOCUSED TEACHING STRATEGY TO FOSTER ENGAGED DISCUSSIONS, DEVELOPING ACCESSIBLE PLUG-AND- PLAY INSTRUCTIONAL MODULES, AND CREATING A CASE-IN-GAME INTERACTIVE VISUALIZATION LAB PLATFORM, ALL HOSTED IN AN ONLINE REPOSITORY FOR BROAD ACCESSIBILITY. THE METHODOLOGY EMPLOYS INNOVATIVE PEDAGOGICAL STRATEGIES TO TEACH AI ALGORITHMS, GROUNDED IN THEORIES EMPHASIZING ETHICAL REASONING. RESEARCH QUESTIONS WILL INVESTIGATE WHETHER ETHICS-FOCUSED TEACHING ENHANCES AI ETHICS INSTRUCTION, HOW REAL-WORLD CASE STUDIES IMPROVE ALGORITHM UNDERSTANDING, IF GAMIFIED MODULES INCREASE ENGAGEMENT AND PROFICIENCY, AND WHICH PEDAGOGICAL FEATURES MOST EFFECTIVELY FOSTER ETHICAL REASONING. ASSESSMENT WILL BE CONDUCTED TO MEASURE COMPREHENSION AND LEARNING EASE. RESULTS WILL BE DISSEMINATED BROADLY, THROUGH PUBLICATIONS, CONFERENCE PRESENTATIONS, OPEN ACCESS MECHANISMS AND SOCIAL MEDIA. THE NSF IUSE: EDU PROGRAM SUPPORTS RESEARCH AND DEVELOPMENT PROJECTS TO IMPROVE THE EFFECTIVENESS OF STEM EDUCATION FOR ALL STUDENTS. THROUGH THE ENGAGED STUDENT LEARNING TRACK, THE PROGRAM SUPPORTS THE CREATION, EXPLORATION, AND IMPLEMENTATION OF PROMISING PRACTICES AND TOOLS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

LOW COHERENCE ENHANCED BACKSCATTERING TOMOGRAPHY

RUI: EQUILIBRIUM AND NONEQUILIBRIUM DYNAMICS FOR SYSTEMS OF PHYSICAL ORIGIN

INVESTIGATION OF THE FUNCTION AND REGULATIONOF PEROXIREDOXINS PRDX1 AND PRDX6 IN

DUSEL R&D COLLABORATIVE RESEARCH: LIGHT AMPLIFIER COMPRESSOR PHOTODETECTOR DEVELOPMENT FOR ASTROPARTICLE EXPERIMENTS

YOUTH POWER PARTNERSHIP: COMMUNITY PARTNERS WORKING TO REDUCE ADOLESCENT RISK BEHAVIORS.

US-BRAZIL HIGHER EDUCATION CONSORTIA PROGRAM

DUKE ELLINGTON AND AMERICAN POPULAR CULTURE

DUKE ELLINGTON AND THE DEVELOPMENT OF AMERICAN POPULAR CULTURE

MRI: ACQUISITION OF A FULLY-MOTORIZED RESEARCH MICROSCOPE AT FAIRFIELD UNIVERSITY PROJECT DESCRIPTION

RUI: STATISTICAL PROPERTIES OF NONEQUILIBRIUM AND EXTENDED DYNAMICAL SYSTEMS

FROM HARLEM TO HIP-HOP: AFRICAN-AMERICAN HISTORY, LITERATURE, AND SONG

UNDERGRADUATE INTERNATIONAL STUDIES AND FOREIGN LANGUAGE

NEW: SECONDARY EMISSION SAMPLING CALORIMETRY SENSOR DEVELOPMENT: PI-DAVID WINN

EGG EFFECTS ON THE IMMUNOMODULATORY PROPERTIES OF HDL

RUI: STUDY OF THE NUCLEON STRUCTURE USING DEEPLY VIRTUAL COMPTON SCATTERING AT JEFFERSON LAB.

CONGRESSIONALLY-MANDATED HEALTH INFORMATION TECHNOLOGY GRANTS

COUPLED CORE SCIENCE COURSES FOR INTEGRATIVE LEARNING

RUI: OPEN, COUPLED AND EXTENDED DYNAMICAL SYSTEMS WITH NONUNIFORM HYPERBOLICITY

ADVANCED EDUCATION NURSING TRAINEESHIPS

AUTISM COMPLEXITY AND PARENTAL WELLBEING: THE ROLE OF CARE COORDINATION IN PROMOTING HEALTH EQUITY - PROJECT SUMMARY THE OVERALL GOAL OF THIS PROPOSAL IS TO DETERMINE THE INFLUENCE OF AUTISM SPECTRUM DISORDER (ASD) CARE COORDINATION SERVICES ON PARENT HEALTH AND STRESS ACCORDING TO GEOGRAPHIC AND SOCIODEMOGRAPHIC FACTORS. SPECIFICALLY, THE AIMS OF THIS STUDY ARE TO ESTABLISH AN ASSESSMENT OF ASD SEVERITY THAT REFLECTS CO-OCCURRING CONDITIONS, DETERMINE THE IMPACT OF CARE COORDINATION ON THE ASSOCIATION BETWEEN CHILD ASD AND PARENT OUTCOMES, AND DELINEATE VARIATION IN THE IMPACT OF CARE COORDINATION ON PARENT OUTCOMES BY SOCIODEMOGRAPHIC INFLUENCES, (I.E., RACE/ETHNICITY, RURAL/URBAN AREAS, HEALTH PROFESSIONAL SHORTAGE AREAS). TO ACHIEVE THE AIMS OF THIS PROPOSAL, WE WILL MERGE THE 2016-2019 NATIONAL SURVEY OF CHILDREN’S HEALTH (NSCH) TO CREATE THE LARGEST, NATIONALLY REPRESENTATIVE DATASET THAT INCLUDES CHILD, PARENT, AND HEALTHCARE-RELATED VARIABLES. THE COMBINED SAMPLE INCLUDES 3,313 PARENTS OF CHILDREN WITH A CURRENT ASD DIAGNOSIS. THE HEALTH RESOURCES AND SERVICES ADMINISTRATION (HRSA) DESIGNATIONS OF PRIMARY CARE AND MENTAL HEALTH HPSAS WILL BE ANALYZED TO EVALUATE THE INTERRELATION OF MULTI-LEVEL ASD INFLUENCES FROM A HEALTH EQUITY FRAMEWORK. A MODERATED- MEDIATION MODEL OF ASD CARE COORDINATION WILL BE USED TO TEST FOR SOCIODEMOGRAPHIC INTERACTION EFFECTS (I.E., MODERATION) IN THE DEGREE TO WHICH CARE COORDINATION EXPLAINS THE ASSOCIATION BETWEEN ASD COMPLEXITY AND PARENT HEALTH AND STRESS (I.E., MEDIATION). COMPLETION OF THESE AIMS WILL PROVIDE A DIRECT RESPONSE TO FEDERAL INITIATIVES TO STANDARDIZE AND EVALUATE CHILD HEALTHCARE COORDINATION. THE MEDICAID SERVICES INVESTMENT AND ACCOUNTABILITY ACT (MSIAA) OF 2019 WILL ALLOW STATES TO OFFER OPTIONAL BENEFITS THAT INCLUDE CARE COORDINATION SERVICES FOR MEDICAID-ELIGIBLE CHILDREN WITH MEDICALLY COMPLEX CONDITIONS BEGINNING IN 2022. QUALIFYING CONDITIONS UNDER THE MSIAA INCLUDES ONLY “SEVERE AUTISM”, WHICH EXCLUDES CHILDREN WITH MILD OR MODERATE AUTISM THAT MAY HAVE MULTIPLE OTHER CO-OCCURRING CONDITIONS. FURTHER, THERE IS BROAD INTER-STATE VARIABILITY IN THE AVAILABILITY AND REQUIREMENTS FOR CARE COORDINATION OFFERED IN AVAILABLE HEALTH PLANS (BARTH, 2019). THE DEPARTMENT OF HEALTH AND HUMAN SERVICES (2020) IS CURRENTLY ATTEMPTING TO EVALUATE BEST PRACTICES IN CARE COORDINATION AMONG OUT-OF-STATE PROVIDERS FOR CHILDREN WITH MEDICALLY COMPLEX CONDITIONS, AS NOT ALL STATES ALLOW THE SERVICE. OUR FINDINGS WILL CONTRIBUTE TO INITIATIVES FOR COMMUNITY-INFORMED ASD CARE COORDINATION.

TOPICS IN DYNAMICAL SYSTEMS: OPEN SYSTEMS, COUPLED SYSTEMS AND DISCRETIZATION

RUI: REPRESENTATION THEORY AND HOMOLOGICAL ALGEBRA OVER LOCAL RINGS

UNDERGRADUATE INTERNATIONAL STUDIES AND FOREIGN LANGUAGE

VISTA STATE

CMS FAST OPTICAL CALORIMETRY

MRI: DEVELOPMENT OF IMPROVED METHODS FOR PACKAGING ELECTRONIC CIRCUITS

NURSE ANESTHETIST TRAINEESHIPS

SATC: EDU: COLLABORATIVE: INTERACTIVE VISUALIZATION AND PRACTICE BASED CYBERSECURITY CURRICULUM AND TRAINING (INVITECYBER) FRAMEWORK FOR DEVELOPING NEXT-GEN CYBER-AWARE WORKFORCE -TECHNOLOGY USE AMONG TEENAGERS HAS GREATLY INCREASED WITHOUT A CONCOMITANT INCREASE CYBERSECURITY SKILLS IN THIS POPULATION. SEVERAL FACTORS, INCLUDING LACK OF STANDARD HIGH SCHOOL CYBERSECURITY CURRICULA, AND LACK OF CYBERSECURITY AWARENESS AMONG TEENS, HAVE CONTRIBUTED TO TEENAGERS BECOMING TARGETS OF CYBERCRIMES SUCH AS CYBERBULLYING. THIS RESEARCH AIMS TO LEVERAGE THE INCREASED TECHNOLOGY USE OF TEENS TO (A) DEVELOP A SECURITY MINDSET AT THE HIGH SCHOOL LEVEL, (B) SPREAD AWARENESS OF THE RISKS AND THREATS ASSOCIATED WITH USE OF SMARTPHONE/TABLETS AND OTHER TECH, AND (C) INCULCATE INTEREST IN CYBERSECURITY CAREERS (WITH A LONG-TERM GOAL OF ADDRESSING THE NATIONAL SHORTAGE OF CYBERSECURITY WORKFORCE). THE PROJECT SEEKS TO ACHIEVE THESE GOALS BY PROVIDING CYBERSECURITY TRAINING THROUGH INTERACTIVE, ANIMATED VISUALIZATIONS SO THAT STUDENTS DEVELOP AN INTEREST IN CYBERSECURITY CAREERS. EDUCATORS WILL HAVE ACCESS TO THE EDUCATIONAL MATERIALS DEVELOPED WHICH MAY LEAD TO THE BETTER ASSESSMENT OF STUDENTS' CYBERSECURITY SKILLS. THIS NEW INTERACTIVE ANIMATED VISUALIZATION FRAMEWORK FOR HIGH SCHOOL CYBERSECURITY EDUCATION HAS THE POTENTIAL FOR WIDER, NATIONWIDE ADOPTION. AS CYBERSECURITY CONTINUES TO BECOME A NATIONAL AND GLOBAL SECURITY THREAT, THIS RESEARCH WILL FACILITATE THE DEVELOPMENT OF A NEW GENERATION OF WORKFORCE AND A SAFER CYBER-ENVIRONMENT. THE PROJECT WILL DEVELOP AN INNOVATIVE TEACHING PLAN AND PEDAGOGICAL METHODS FOR HIGH SCHOOL CYBERSECURITY EDUCATION. THE FRAMEWORK WILL BE DESIGNED AND USED IN A SUMMER CAMP SETTING TO HELP STUDENTS UNDERSTAND CYBERSECURITY THREATS, DEFENSE, AND PREVENTION MECHANISMS. OPEN-SOURCE SMARTPHONE APP DEVELOPMENT TOOLS WILL BE INTEGRATED INTO THE CURRICULUM TO DETERMINE IF THE FRAMEWORK AIDS TEENS IN UNDERSTANDING THE CYBERSECURITY RISKS. A SERIES OF RESEARCH QUESTIONS WILL INVESTIGATE THE EXTENT TO WHICH THE NEW CURRICULUM PROMOTES A BETTER UNDERSTANDING OF CYBERSECURITY. THE EFFECTIVENESS AND RIGOR OF THIS CURRICULUM WILL BE MEASURED IN SEVERAL WAYS, INCLUDING (A) USING A TASK LOAD INDEX TO QUANTIFY RIGOR, (B) ADMINISTERING SURVEYS TO GAIN INSIGHT ABOUT STUDENTS' MOTIVATION AND PERCEPTIONS OF CYBERSECURITY, AND (C) ANALYZING STUDENTS' LEARNING USING ANALYTICAL COURSE RUBRICS. DELIVERABLES OF THIS PROJECT WILL INVOLVE (A) INTERACTIVE ANIMATED VISUALIZATION BASED CYBERSECURITY TUTORIALS FOR SUMMER CAMP MODE DELIVERY TO HIGH SCHOOL STUDENTS, (B) AVAILABILITY OF ALL TUTORIALS FOR ACCESSIBILITY TO OTHER EDUCATORS, AND (C) PUBLICATIONS AND MEETING PRESENTATIONS TO SHARE PROJECT OUTCOMES MORE WIDELY. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.

RUI: CELL GROWTH LAWS AND QUANTITATIVE MICROSCOPY FOR CANCER AGGRESSIVENESS IMAGING

NURSE ANESTHETIST TRAINEESHIPS

COLLABORATIVE RESEARCH: FW-HTF-P: INTELEUI: ARTIFICIAL INTELLIGENCE AND EXTENDED REALITY TO ENHANCE WORKFORCE PRODUCTIVITY FOR THE ENERGY AND UTILITIES INDUSTRY -EMERGING COMPUTING TECHNOLOGIES HAVE BEEN RECENTLY EMPLOYED FOR INDUSTRIAL TRAINING AND PREDICTIVE MAINTENANCE IN SEVERAL INDUSTRIES TO IMPROVE WORKFORCE PRODUCTIVITY AND INCREASE MANUFACTURING AND PRODUCTION. HOWEVER, THERE IS LIMITED ADOPTION OF TECHNOLOGIES IN ENERGY AND UTILITIES INDUSTRIES (EUIS). THERE IS ALSO A WIDE GAP BETWEEN THE JOBS TO BE FILLED AND THE SKILLED POOL CAPABLE OF FILLING THEM IN EUIS. ADDITIONALLY, THE AGING WORKFORCE IS CREATING A RISK OF LOSING WORKERS WITH HANDS-ON FIELD EXPERTISE. MAINTAINING CONTEMPORARY EQUIPMENT FOR POWER GENERATION, STORAGE, TRANSMISSION, AND DISTRIBUTION IN EUIS IS EXPENSIVE AND ARDUOUS AS THEY ARE MORE VERSATILE AND INHERENTLY COMPLICATED. THEREFORE, CHALLENGES ARISE FOR THEIR EFFICIENT AND PRODUCTIVE MAINTENANCE. THE PROJECT AIMS TO DESIGN A FRAMEWORK THAT WILL MEET THE NEEDS OF SMART TRAINING AND PREDICTIVE MAINTENANCE IN EUIS BY EMPLOYING EMERGING TECHNOLOGIES AND DEVELOP A WORKING PROTOTYPE OF THE FRAMEWORK. THE PROJECT INVESTIGATORS COLLABORATE WITH EUIS TO DESIGN THE FRAMEWORK. IN THE LONG-TERM, THE IMPROVED TRAINING WILL REDUCE THE SKILL GAP BETWEEN SKILLED AND LESS-SKILLED WORKERS AND INCREASE SITUATIONAL AWARENESS AND SAFETY IN THE WORKPLACE. THE PREDICTIVE MAINTENANCE MODEL WILL REDUCE COSTS BY PREDICTING MAINTENANCE NEEDS AND DOWNTIME OF EQUIPMENT. THE PROJECT INTEGRATES CUTTING-EDGE TECHNOLOGIES IN THE FRAMEWORK DESIGN AND DEVELOPMENT INCLUDING ARTIFICIAL INTELLIGENCE (AI), MACHINE LEARNING (ML), AND EXTENDED REALITY (XR) TO IMPROVE WORKFORCE PRODUCTIVITY THROUGH CUSTOMIZABLE AND EFFECTIVE TRAINING, ENHANCE WORK EFFICIENCY, AND REDUCE COST ON UNPLANNED MAINTENANCE. STATE-OF-THE-ART ML METHODS WILL BE APPLIED TO DEVELOP THE PREDICTIVE MAINTENANCE MODULE OF THE FRAMEWORK TO IMPROVE RELIABILITY AND SUSTAINABILITY OF VARIOUS EQUIPMENT IN EUIS THAT WILL EVENTUALLY SAVE TIME, HUMAN EFFORTS, AND INCREASE CUSTOMER SATISFACTION. COMPREHENSIVE MEASURES AND METRICS WILL BE EMPLOYED TO ASSESS THE TECHNOLOGY, ECONOMIC, AND SOCIAL IMPACT OF THE FRAMEWORK IN THE INDUSTRY CONTEXT. A SET OF RESEARCH QUESTIONS IS PROPOSED TO UNDERSTAND HOW AI AND XR TECHNOLOGY IS TRANSFORMING WORK AND WORKFORCE IN EUIS. THE PROJECT FINDINGS WILL BE DISSEMINATED TO THE ACADEMIC AND INDUSTRY COMMUNITY THROUGH A DEDICATED WEBSITE, RESEARCH PUBLICATIONS, AND SOCIAL MEDIA PLATFORMS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.

COLLABORATIVE RESEARCH: A SEMICONDUCTOR CURRICULUM AND LEARNING FRAMEWORK FOR HIGH-SCHOOLERS USING ARTIFICIAL INTELLIGENCE, GAME MODULES, AND HANDS-ON EXPERIENCES -SEMICONDUCTORS ARE ESSENTIAL COMPONENTS OF ELECTRONIC DEVICES, ENABLING ADVANCES IN IMPORTANT APPLICATIONS AND SYSTEMS SUCH AS COMMUNICATION, HEALTHCARE, AND NATIONAL SECURITY. IN ORDER TO SUSTAIN THE U.S.'S GLOBAL COMPETITIVENESS IN THE SEMICONDUCTOR INDUSTRY, THERE IS A GROWING DEMAND FOR A SKILLED SEMICONDUCTOR WORKFORCE. HIGH-SCHOOLERS ARE AMONG THE MOST FREQUENT USERS OF ELECTRONIC DEVICES. HOWEVER, MANY DO NOT KNOW HOW THESE DEVICES ARE DESIGNED AND MANUFACTURED. TO ADDRESS THE KNOWLEDGE GAPS AND WORKFORCE NEEDS EQUITABLY, THIS PROJECT WILL DEVELOP A SEMICONDUCTOR CURRICULUM WITH HIGH-SCHOOL-AGED STUDENTS FROM DIVERSE BACKGROUNDS, AND WITH PARTNERS IN HIGHER EDUCATION, K-12, AND INDUSTRIES, ENHANCED WITH ARTIFICIAL INTELLIGENCE (AI) AND OTHER INNOVATIVE TECHNOLOGIES. GAME-BASED SEMICONDUCTOR MODULES WILL BE CREATED FOR STUDENTS TO PLAY AND LEARN WITH PEERS CHOOSING CULTURALLY DIVERSE AVATARS. THESE LEARNING MODULES WILL BE MADE AVAILABLE TO A WIDE RANGE OF STUDENTS THROUGH THE PROJECT COLLABORATOR STEMULI, A GAME-BASED LEARNING COMPANY. IN ADDITION, APPROXIMATELY 50 STUDENTS EACH SUMMER (YEARS 2-4) WILL BE ENGAGED IN IN-PERSON WORKSHOPS HOSTED IN MAINE AND TEXAS. THROUGH THESE WORKSHOPS, STUDENTS WILL BE ENGAGED IN HANDS-ON ACTIVITIES AND FIELD TRIPS TO SEMICONDUCTOR COMPANIES WHERE THEY WILL CONNECT THEIR GAME-BASED LEARNING WITH INDUSTRY EXPERIENCES. BASED ON STUDENTS' FEEDBACK, THE WORKSHOP AND GAME CURRICULUM WILL BE DESIGNED AND IMPROVED ITERATIVELY. THIS DEVELOPING AND TESTING INNOVATIONS (DTI) PROJECT AIMS TO HELP HIGH-SCHOOL STUDENTS DEVELOP SKILLS AND CAREER INTERESTS IN THE SEMICONDUCTOR FIELDS THROUGH AN INNOVATIVE GAME-BASED LEARNING PLATFORM, HANDS-ON ACTIVITIES, AND INDUSTRY FIELD TRIPS. THE OVERARCHING RESEARCH QUESTION IS: TO WHAT EXTENT DO THE DESIGNS AND INTEGRATION OF AI EDUCATOR(A GENERATIVE AI TOOL FOR EDUCATION), GAME-BASED LEARNING, AND HANDS-ON EXPERIENCES PROVIDE EQUITABLE ACCESS AND STRENGTHEN STUDENTS? ENGAGEMENTS, AWARENESS, INTERESTS, AND KNOWLEDGE IN STEM CAREERS? THE AI EDUCATOR WILL PROVIDE STUDENTS WITH SUGGESTIONS, ASSISTANCE, AND ADDITIONAL STUDY MATERIALS ABOUT THE SUBJECT MATTER. THE AI COMPONENT WILL BE RESPONSIBLE FOR TUNING THE OUTPUT CONTENT BASED ON THE STUDENT?S INTERESTS, HOBBIES, AND PREFERENCES TO MAKE THE EXPERIENCE MORE RELATABLE. DATA COLLECTION WILL INCLUDE STUDENTS? ATTITUDES, GAME ACTIVITIES, AND HANDS-ON LEARNING OUTCOMES. DESIGN-BASED RESEARCH METHODS WILL BE USED INCORPORATING THE NASA TASK LOAD INDEX, T-TEST, INTERVIEWS, AND SURVEYS TO UNDERSTAND STUDENTS? LEARNING AND EFFICACY OF THE GAME AND WORKSHOP CURRICULUM. THE TECHNOLOGY, PEDAGOGY, AND CONTENT KNOWLEDGE (TPACK) FRAMEWORK WILL BE USED AND REFINED THROUGHOUT THE AI AND GAME TECHNOLOGY INTEGRATIONS INTO THE SEMICONDUCTOR CURRICULUM AND EDUCATION PATHWAYS. THE PROJECT WILL BE DESIGNED WITH A FOCUS ON EQUITY, ACCESSIBILITY, ENGAGEMENT, AND COLLABORATION, CATERING TO STUDENTS FROM DIVERSE BACKGROUNDS. THIS PROJECT IS CO-FUNDED BY THE INNOVATIVE TECHNOLOGY EXPERIENCES FOR STUDENTS AND TEACHERS (ITEST) PROGRAM, WHICH SUPPORTS PROJECTS THAT BUILD UNDERSTANDINGS OF PRACTICES, PROGRAM ELEMENTS, CONTEXTS AND PROCESSES CONTRIBUTING TO INCREASING STUDENTS' KNOWLEDGE AND INTEREST IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS (STEM) AND INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) CAREERS. THIS PROJECT IS ALSO CO-FUNDED BY THE ADVANCING INFORMAL STEM LEARNING (AISL) PROGRAM AND THE DISCOVERY RESEARCH PREK-12 (DRK-12) PROGRAM. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

CMS FAST OPTICAL CALORIMETRY

RESEARCH STARTER GRANT: FUNCTIONAL CHARACTERIZATION OF MEL-28 IN THE ANIMAL MODEL CAENORHABDITIS ELEGANS

CONFERENCE: WORKSHOP ON ANTI-RAMSEY THEORY -THIS AWARD SUPPORTS A COLLABORATIVE RESEARCH WORKSHOP ON ANTI-RAMSEY THEORY, TO BE HELD AT CARNEGIE MELLON UNIVERSITY IN AUGUST 2026. THE WORKSHOP BRINGS TOGETHER UP TO TWENTY RESEARCHERS, INCLUDING FACULTY AT LIBERAL ARTS COLLEGES, POSTDOCTORAL RESEARCHERS, AND GRADUATE STUDENTS, TO MAKE FOCUSED PROGRESS ON OPEN PROBLEMS IN ANTI-RAMSEY THEORY, AN ACTIVE AREA OF COMBINATORICS AND GRAPH THEORY WITH CONNECTIONS TO NUMBER THEORY AND ALGEBRA. IN ANTI-RAMSEY THEORY, WHEN A SYSTEM IS LARGE ENOUGH, NO MATTER HOW ORGANIZED IT MAY LOOK, IT MUST HAVE A SUBSTRUCTURE WITHIN THE SYSTEM THAT IS DISORDERED OR CHAOTIC. THE SPECIFIC FOCUS OF THIS WORKSHOP IS THE STUDY OF RAINBOW NUMBERS OF EQUATIONS AND GRAPHS WHICH HAS BROAD APPLICATIONS WITHIN DISCRETE MATHEMATICS. PARTICIPANTS WILL WORK IN SMALL RESEARCH GROUPS, EACH LED BY ONE OF THE FOUR ORGANIZERS, ON CAREFULLY SELECTED OPEN PROBLEMS THAT ARE BOTH MATHEMATICALLY SIGNIFICANT AND ACCESSIBLE TO RESEARCHERS AT VARIOUS CAREER STAGES. THIS WORKSHOP ADVANCES NSF'S MISSION TO PROMOTE THE PROGRESS OF SCIENCE BY SERVING A COMMUNITY OF MATHEMATICIANS FOR WHOM A WORKSHOP LIKE THIS AND THE FUNDING TO ATTEND WOULD BE ESPECIALLY MEANINGFUL: FACULTY AT TEACHING-INTENSIVE INSTITUTIONS WITH HEAVY COURSE LOADS AND LIMITED RESEARCH SUPPORT, ALONGSIDE EARLY-CAREER MATHEMATICIANS AT CRITICAL POINTS IN THEIR CAREERS. BUILT INTO THE PROGRAM ARE PROFESSIONAL DEVELOPMENT SESSIONS ON MENTORING UNDERGRADUATE RESEARCHERS, PROVIDING PARTICIPANTS THE TOOLS TO BRING ACTIVE RESEARCH PROBLEMS BACK TO THEIR HOME INSTITUTIONS AND ENGAGE THE NEXT GENERATION OF MATHEMATICIANS. RESEARCH OUTCOMES WILL BE DISSEMINATED THROUGH PEER-REVIEWED PUBLICATIONS AND UNDERGRADUATE RESEARCH PROGRAMS AT INSTITUTIONS ACROSS THE COUNTRY. THE WEBSITE FOR THE WORKSHOP IS AT HTTPS://SITES.GOOGLE.COM/VIEW/RAINBOW-WORKSHOP THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

NURSE ANESTHETIST TRAINEESHIPS

NURSE ANESTHETIST TRAINEESHIPS

NURSE ANESTHETIST TRAINEESHIPS

NURSE ANESTHETIST TRAINEESHIPS

NURSE ANESTHETIST TRAINEESHIPS

TO SUPPORT "WAR STORIES," A PERFORMANCE WORK TO BE CREATED WITH HOMELESS VETERANS BY A COLLABORATIVE TEAM COMPRISING A WRITER, A VISUAL ARTIST, AND A

CONFERENCE: FAIRFIELD ALGEBRA REGIONAL MEETING (FARM) -THIS AWARD SUPPORTS PARTICIPATION IN A CONFERENCE ON GROUP THEORY IN FAIRFIELD, CT ON DECEMBER 2ND, 2023. THIS CONFERENCE IS THE INAUGURAL MEETING OF A PLANNED ANNUAL CONFERENCE SERIES THAT WILL FOCUS ON VARIOUS FIELDS OF ALGEBRA, ON A ROTATING BASIS. GROUP THEORY, THE THEME OF THIS FIRST YEAR, IS A VERY ACTIVE FIELD OF MATHEMATICS WITH IMPORTANT APPLICATIONS SUCH AS IN CRYPTOGRAPHY. THIS EVENT WILL HELP FACILITATE THE CREATION OF A COHESIVE ALGEBRAIC COMMUNITY IN NEW ENGLAND AND THE NEW YORK METROPOLITAN AREA. THE NSF FUNDING WILL ALLOW FOR TRAVEL SUPPORT OF GRADUATE STUDENTS, POSTDOCTORAL FELLOWS, AND EARLY CAREER FACULTY. THE MEETING IS INTENDED TO RE-CREATE LOCAL NETWORKING OPPORTUNITIES IN ALGEBRA, WHICH BECAME LESS FREQUENT AS A RESULT OF THE COVID-19 PANDEMIC, AND TO CREATE MENTORING OPPORTUNITIES FOR EARLY CAREER MATHEMATICIANS. THE FIRST MEETING OF THE FAIRFIELD ALGEBRA REGIONAL MEETING (FARM) WILL CONSIST OF A SERIES OF TALKS FOR A DAYLONG EVENT. THERE WILL BE FOUR LONGER PLENARY TALKS (45 MINUTES OR LONGER). THERE WILL ALSO BE THREE SLOTS FOR HALF-HOUR TALKS FOR INVITED SPEAKERS AND CONTRIBUTED TALKS (RUN IN PARALLEL). THE TALKS WILL GIVE THE OPPORTUNITY TO SHOWCASE MATHEMATICIANS FROM DIFFERENT CAREER STAGES. A VARIETY OF DIFFERENT AREAS OF GROUP THEORY WILL BE REPRESENTED, INCLUDING APPLIED GROUP THEORY, FINITE GROUPS, INFINITE GROUPS, AND GEOMETRIC GROUP THEORY. MORE INFORMATION IS AVAILABLE AT THE CONFERENCE WEBSITE HTTP://FACULTY.FAIRFIELD.EDU/PBAGINSKI/FARM2023/INDEX.HTML THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

JAMES REED PRINT COLLECTION REHOUSING PROJECT

JAMES REED PRINT COLLECTION, FAIRFIELD UNIVERSITY ART MUSEUM PRESERVATION ASSESSMENT PROJECT

CLOSEOUT DOCUMENT NUMBER

ADVANCED NURSING EDUCATION GRANTS