BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Rutgers - School of Health Professions - ECPv6.14.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Rutgers - School of Health Professions X-ORIGINAL-URL:https://shp.rutgers.edu X-WR-CALDESC:Events for Rutgers - School of Health Professions REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20190310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20191103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20230101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20190610 DTEND;VALUE=DATE:20190611 DTSTAMP:20260430T204002 CREATED:20181128T171656Z LAST-MODIFIED:20181128T171656Z UID:7104-1560124800-1560211199@shp.rutgers.edu SUMMARY:Last day to drop a course with a 100% of tuition and fees refunded DESCRIPTION:Last day to drop a course with a 100% of tuition and fees refunded URL:https://shp.rutgers.edu/event/last-day-to-drop-a-course-with-a-100-of-tuition-and-fees-refunded-2/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190701 DTEND;VALUE=DATE:20190702 DTSTAMP:20260430T204002 CREATED:20181128T172026Z LAST-MODIFIED:20181128T172026Z UID:7106-1561939200-1562025599@shp.rutgers.edu SUMMARY:Deadline for Spring International Students DESCRIPTION:Deadline for Spring International Students URL:https://shp.rutgers.edu/event/deadline-for-spring-international-students/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190701 DTEND;VALUE=DATE:20190702 DTSTAMP:20260430T204002 CREATED:20181128T172210Z LAST-MODIFIED:20181128T172210Z UID:7108-1561939200-1562025599@shp.rutgers.edu SUMMARY:Deadline to apply for August Graduation DESCRIPTION:Deadline to apply for August Graduation URL:https://shp.rutgers.edu/event/deadline-to-apply-for-august-graduation/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190704 DTEND;VALUE=DATE:20190705 DTSTAMP:20260430T204002 CREATED:20181128T172424Z LAST-MODIFIED:20181128T172424Z UID:7110-1562198400-1562284799@shp.rutgers.edu SUMMARY:Independence Day* (Holiday) DESCRIPTION:Independence Day* (Holiday) URL:https://shp.rutgers.edu/event/independence-day-holiday/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190715 DTEND;VALUE=DATE:20190716 DTSTAMP:20260430T204002 CREATED:20181128T191430Z LAST-MODIFIED:20181128T191430Z UID:7114-1563148800-1563235199@shp.rutgers.edu SUMMARY:Last Deadline for Offering Admission to New Students for Fall Semester DESCRIPTION:Last Deadline for Offering Admission to New Students for Fall Semester URL:https://shp.rutgers.edu/event/last-deadline-for-offering-admission-to-new-students-for-fall-semester/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190715 DTEND;VALUE=DATE:20190716 DTSTAMP:20260430T204002 CREATED:20181128T191525Z LAST-MODIFIED:20181128T191525Z UID:7116-1563148800-1563235199@shp.rutgers.edu SUMMARY:Fall Non Matriculated Registration Begins DESCRIPTION:Fall Non Matriculated Registration Begins URL:https://shp.rutgers.edu/event/fall-non-matriculated-registration-begins/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190722 DTEND;VALUE=DATE:20190723 DTSTAMP:20260430T204002 CREATED:20181128T191621Z LAST-MODIFIED:20181128T191621Z UID:7118-1563753600-1563839999@shp.rutgers.edu SUMMARY:Last Day to Withdraw from a Summer Course with a "W" Grade DESCRIPTION:Last Day to Withdraw from a Summer Course with a “W” Grade URL:https://shp.rutgers.edu/event/last-day-to-withdraw-from-a-summer-course-with-a-w-grade/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190725T100000 DTEND;TZID=America/New_York:20190725T140000 DTSTAMP:20260430T204002 CREATED:20190628T133859Z LAST-MODIFIED:20190628T142732Z UID:7830-1564048800-1564063200@shp.rutgers.edu SUMMARY:Clinical Trials Awareness Day DESCRIPTION:Clinical Trials Awareness Day\n\nMark the date: On July 25 from 10 a.m. to 2 p.m. you are invited to attend Clinical Awareness Day in New Brunswick about clinical trials and career options in clinical research from medical professionals at Rutgers. Rutgers Biomedical Health and Sciences is sponsoring this PopUp Star Event. Presentations are by SHP\, Robert Wood Johnson Medical School\, and New Jersey Medical School. \nThe event is at the Arline and Henry Schwartzman Courtyard\, Robert Wood Johnson University Hospital\, 1 Robert Wood Johnson Place\,  New Brunswick. \nRegister now. \nPrevious Events\n\n \n Convocation 2026!May 19 \n Doctor of Physical Therapy (DPT) Virtual Open HouseMay 20 @ 6:00 pm - 7:00 pm EDT \n Doctor of Physical Therapy (DPT) Virtual Open HouseJune 24 @ 6:00 pm - 7:00 pm EDT URL:https://shp.rutgers.edu/event/clinical-trials-awareness-day/ LOCATION:Arline and Henry Schwartzman Courtyard\, RWJ University Hospital\, 1 Robert Wood Johnson Place\, New Brunswick\, 1 Robert Wood Johnson Place\, New Brunswick\, NJ CATEGORIES:Events END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190804 DTEND;VALUE=DATE:20190805 DTSTAMP:20260430T204003 CREATED:20181128T191712Z LAST-MODIFIED:20181128T191712Z UID:7120-1564876800-1564963199@shp.rutgers.edu SUMMARY:Fall Registration Ends for All Students DESCRIPTION:Fall Registration Ends for All Students URL:https://shp.rutgers.edu/event/fall-registration-ends-for-all-students/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190805 DTEND;VALUE=DATE:20190806 DTSTAMP:20260430T204003 CREATED:20181128T191840Z LAST-MODIFIED:20181128T191840Z UID:7122-1564963200-1565049599@shp.rutgers.edu SUMMARY:Fall Late Registration Begins ($50 late fee) for Matriculated Students DESCRIPTION:Fall Late Registration Begins ($50 late fee) for Matriculated Students URL:https://shp.rutgers.edu/event/fall-late-registration-begins-50-late-fee-for-matriculated-students/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190815 DTEND;VALUE=DATE:20190816 DTSTAMP:20260430T204003 CREATED:20181128T191949Z LAST-MODIFIED:20181128T191949Z UID:7124-1565827200-1565913599@shp.rutgers.edu SUMMARY:Summer Semester Ends (date may vary by program) DESCRIPTION:Summer Semester Ends (date may vary by program) URL:https://shp.rutgers.edu/event/summer-semester-ends-date-may-vary-by-program/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190819 DTEND;VALUE=DATE:20190820 DTSTAMP:20260430T204003 CREATED:20181128T192043Z LAST-MODIFIED:20181128T192043Z UID:7126-1566172800-1566259199@shp.rutgers.edu SUMMARY:Summer Final Grades Due - Noon DESCRIPTION:Summer Final Grades Due – Noon URL:https://shp.rutgers.edu/event/summer-final-grades-due-noon/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190819 DTEND;VALUE=DATE:20190820 DTSTAMP:20260430T204003 CREATED:20181128T192147Z LAST-MODIFIED:20181128T192147Z UID:7128-1566172800-1566259199@shp.rutgers.edu SUMMARY:Fall Non Matriculated Late Registration Begins ($50 late fee) DESCRIPTION:Fall Non Matriculated Late Registration Begins ($50 late fee) URL:https://shp.rutgers.edu/event/fall-non-matriculated-late-registration-begins-50-late-fee/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190831 DTEND;VALUE=DATE:20190901 DTSTAMP:20260430T204003 CREATED:20181128T192242Z LAST-MODIFIED:20181128T192242Z UID:7130-1567209600-1567295999@shp.rutgers.edu SUMMARY:Graduation for August graduates DESCRIPTION:Graduation for August graduates URL:https://shp.rutgers.edu/event/graduation-for-august-graduates/ LOCATION:School of Health Professions\, 65 Bergen Street\, Newark\, NJ\, 07107 CATEGORIES:Student Academic Calendar ORGANIZER;CN="Enrollment Management":MAILTO:shrpadm@shp.rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200616T130000 DTEND;TZID=America/New_York:20200616T150000 DTSTAMP:20260430T204003 CREATED:20200608T142102Z LAST-MODIFIED:20200901T125210Z UID:8993-1592312400-1592319600@shp.rutgers.edu SUMMARY:Virtual Open House - B.S. Health Information Management DESCRIPTION: URL:https://shp.rutgers.edu/event/virtual-open-house-b-s-health-information-management/ LOCATION:NJ CATEGORIES:Events,Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200616T183000 DTEND;TZID=America/New_York:20200616T203000 DTSTAMP:20260430T204003 CREATED:20200608T152251Z LAST-MODIFIED:20200901T125149Z UID:8999-1592332200-1592339400@shp.rutgers.edu SUMMARY:Virtual Open House - B.S. Health Sciences DESCRIPTION: URL:https://shp.rutgers.edu/event/virtual-open-house-b-s-health-sciences/ LOCATION:NJ CATEGORIES:Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200701T130000 DTEND;TZID=America/New_York:20200701T140000 DTSTAMP:20260430T204003 CREATED:20200608T153122Z LAST-MODIFIED:20200901T125149Z UID:9001-1593608400-1593612000@shp.rutgers.edu SUMMARY:Virtual Open House - Speech-Language Pathology Masters Program DESCRIPTION: URL:https://shp.rutgers.edu/event/virtual-open-house-speech-language-pathology-doctoral-program/ LOCATION:NJ CATEGORIES:Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200701T180000 DTEND;TZID=America/New_York:20200701T190000 DTSTAMP:20260430T204003 CREATED:20200608T153240Z LAST-MODIFIED:20200901T125149Z UID:9003-1593626400-1593630000@shp.rutgers.edu SUMMARY:Virtual Open House - Speech-Language Pathology Masters Program DESCRIPTION: URL:https://shp.rutgers.edu/event/virtual-open-house-speech-language-pathology-doctoral-program-2/ LOCATION:NJ CATEGORIES:Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200710T150000 DTEND;TZID=America/New_York:20200710T160000 DTSTAMP:20260430T204003 CREATED:20200608T153627Z LAST-MODIFIED:20200901T125148Z UID:9008-1594393200-1594396800@shp.rutgers.edu SUMMARY:Virtual Open House - Speech-Language Pathology Masters Program DESCRIPTION: URL:https://shp.rutgers.edu/event/virtual-open-house-speech-language-pathology-doctoral-program-3/ LOCATION:NJ CATEGORIES:Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210527T090000 DTEND;TZID=America/New_York:20210527T160000 DTSTAMP:20260430T204003 CREATED:20210507T151333Z LAST-MODIFIED:20210513T155454Z UID:10230-1622106000-1622131200@shp.rutgers.edu SUMMARY:E-Symposium: Combating Discrimination in Healthcare and Fighting Health Disparities in Greece and the U.S.A. DESCRIPTION:FIRST JOINT HELLENIC MEDITERRANEAN UNIVERSITY & RUTGERS UNIVERSITY e-SYMPOSIUM: May 27\, 2021 9a.m to 10:30a.m. EST \nResearch from across the globe speaks to the many determinants of health disparities that disproportionately affect a range of populations\, including women\, individuals with low socioeconomic status\, ethnic and racial minorities\, immigrants and refugees\, people with disabilities\, and individuals who identify as lesbian\, gay\, bisexual or transgender (LGBT). Health inequalities –that is\, systematic and avoidable inequalities in health outcomes– can be attributed to a wide variety of factors\, including discrimination\, which is the focus of our study. Discrimination has been associated\, for instance\, with a higher risk of cardiovascular disease among African American men compared to American men of European descent (Lockwood\, Marsland\, Matthews\, & Gianaros 2018)\, a higher incidence of depression among women who identify as lesbian versus women who identify as heterosexual (Logie\, Lacombe-Duncan\, Poteat\, & Wagner\, 2017)\, and various psychosomatic problems among immigrant minority students in Germany\, the Netherlands\, and Sweden (Kauf\, Wölfer\, & Hewstone\, 2017). Both health disparities and discrimination are difficult but not intractable problems. There are many examples of policy\, educational\, and other types of interventions designed to eliminate them both\, as well as their deleterious effects on individuals\, communities\, and populations (Metzl\, Petty\, Olowojoba 2018; Williams\, & Purdie-Vaughns 2016). \nIn this first of a series of e-symposia co-organized by the Hellenic Mediterranean University (see also: https://www.hmu.gr/en)1 and Rutgers University’s Schools of Communication and Information and Health Professions\, faculty will share their research regarding the abovementioned issues in Greece and the United States. In the public part of the event\, faculty members from different disciplines and professional backgrounds\, including Communication\, Nutrition and Dietetics\, Nursing\, and Social Work will give short presentations on their research. A reaction panel will kick off a Q&A session and conversation among all attendees. \nRegistration: To participate\, please register by Monday\, May 24\, 2021 following the link below: https://www.eventbrite.com/e/1st-joint-e-symposium-fighting-health-disparities-registration-153158903403 \nProposed Agenda \nPublic Event (Open to all who register in advance; please find registration link below) \nDate: Thursday\, May 27\, 2021 \nTime: 9 am – 10:30 am EDT (U.S.) / 4 pm – 5:30 pm (Greece) \nRegistration: To participate\, please register by Monday\, May 24\, 2021 following the link below: https://www.eventbrite.com/e/1st-joint-e-symposium-fighting-health-disparities-registration-153158903403 \nIntroductions and presentation of the HMU-Rutgers University partnership \nKonstantinos Petridis\, Ph.D.\, & Kleio Koutra\, Ph.D. (Hellenic Mediterranean University) \nMatthew Matsaganis\, Ph.D. & Riva Touger-Decker\, Ph.D. (Rutgers University) \nResearch Presentations \n(Presenters’ names appear alphabetically; bios for all event participants available below) \nNursing Practice Environment and Employee Silence Regarding Patient Safety: The Mediating Role of Experienced Professional Discrimination \nGeorge Kritsotakis\, Ph.D. (Hellenic Mediterranean University) \nAbstract: On many occasions\, nurses are directly or indirectly discouraged to voice their concerns regarding patient safety or are ignored when they do\, leading to employee silence and decreasing the standard of care. Nurses’ work-related determinants for silence are not clearly understood in the patient safety context. The aim of this presentation is to report on the associations between nurse work environment with nurses’ silence regarding patient safety and the mediating role of experienced professional discrimination in a sample of 607 Nurses and Nursing Assistants working in 7 hospitals in Greece. \nPsychosocial Needs of People Living in Extreme Poverty and Introducing Brief Interventions: The Case of Crete Region in Greece \nMaria G. Papadakaki\, Ph.D. (Hellenic Mediterranean University) \nAbstract: The financial crisis of the last decade has increased the number of people living in extreme poverty in Greece. Despite this fact\, little evidence exists on their profile and psychosocial needs. The current study explored the socioeconomic circumstances and psychosocial profile of 798 people confronted with severe poverty. This article further reports on brief interventions introduced at individual-\, group-\, and community level to address the psychosocial burden of these people. A huge health and mental health burden was found among the participants. People also experienced long periods of unemployment\, bad housing and living conditions\, and absence of a supportive social/family network. Brief interventions increased people’s self-awareness\, self-expression\, and self-esteem and improved their problem-solving and coping skills. Integrated and family-focused care seems necessary. Mapping \nthe biopsychosocial needs of these people is important for health care and social welfare planning \nUnderstanding the Impact of Engagement with Cancer (Mis)information among Latino Facebook Users \nYonaira Rivera\, Ph.D.\, MPH (Rutgers University) \nAbstract: Latinos\, the largest minority in the U.S.\, face a high burden of cancer\, making it important to deliver evidence-based cancer prevention and screening information (CPSI) to them. Social media presents an innovative platform to engage with Latinos dialogically by allowing user interaction through posts\, pictures\, videos\, and other information sharing. This qualitatively-driven\, mixed methods study explored how U.S. Latinos engage with\, assess the credibility of\, and act upon CPSI on Facebook. During one-on-one\, in-person encounters\, participants (n=20) accessed their Facebook profiles and discussed engagement with cancer-related posts with the researcher. Engagement with content prompted semi-structured\, in-depth interviews discussing reasons for engagement\, credibility assessments\, and subsequent actions. Data were analyzed via content analysis and thematic analysis. Results demonstrate that cultural values and other cultural connectors (e.g.\, language and country of origin) play a salient role in how message factors and source factors influence the way Latinos engage with and assess the credibility of CPSI. Furthermore\, both engagement and credibility assessments – as influenced by culture – appear to impact how some Latinos choose to act upon CPSI\, both online and offline. Actions taken were sometimes informed by inaccurate credibility assessments\, which may lead to potentially harmful outcomes. Findings provide important methodological\, theoretical\, and practical contributions to a growing area of public health research that is interested in curtailing the effects of misinformation on health outcomes. \nCancer Screening among Garifuna Women \nLois Rockson\, Ph.D.\, MPH (Rutgers University) \nAbstract: Background: Cancer screening disparities exist among immigrant groups in the United States\, yet the cancer screening behaviors of ethnic Black immigrants remains relatively unknown. Low cancer screening rates among ethnic Black immigrant groups are associated with various structural\, and sociocultural barriers. These barriers may be the same for all ethnic Black immigrants\, but evidence is lacking. The Garifuna\, an Afro-Amerindian Central American group experience structural forces in their homelands and settling communities in urbanized spaces in the US with little known of their cancer screening practices. The purpose of this study was to examine breast\, cervical and colorectal cancer screening practices among Garifuna women residing in the boroughs of New York City and to identify any disparities in their cancer screening practices. The study examined level of adherence to the recommended breast\, cervical and colorectal cancer screening guidelines and their association with demographic factors\, access to healthcare services\, perceptions/barriers\, acculturation\, identity\, and level of guideline knowledge. Method: This study used a mixed method approach of interviews with eight key informants knowledgeable on the health behaviors of Garifuna women and surveying of four hundred Garifuna women\, age 50 years and older residing in the New York City area. Content analysis was performed on key informant interview transcripts which confirmed survey sociocultural variable choices. Univariate analysis was used to describe the survey study sample and bivariate analysis to measure level of association between variables. Logistic regression examined the predictive nature of variables in explaining cancer screening adherence. Results: \nFour hundred and two Garifuna women completed surveys over a 22-month period. The results show that disparities exist in cervical cancer screening and are suggested in colorectal cancer screening. Models for colorectal cancer screening by colonoscopy and fecal occult blood testing were the most predictive of the cancer screening types with knowledge and health belief models having the highest predictive variability. Conclusion: Further studies on cervical and colorectal cancer screening among the Garifuna women are recommended to identify additional barriers contributing to these cancer screening disparities and to develop culturally appropriate interventions aimed to end disparities in this unique immigrant group. \nReaction Panel\, Q&A\, and Discussion \nA panel of Rutgers SC&I and SHP faculty named below will initiate a Q&A session\, during which all audience members will be able to ask questions of the presenters. All participants will be given an opportunity to have a dialogue on the issues raised by the research projects presented and their implications\, and to identify top priorities for future research\, teaching\, professional practice\, and policymaking. \n(Reaction Panel members\, in alphabetical order) \nGeorge Fragiadakis\, Ph.D.\, Hellenic Mediterranean University \nArgyroula Kalaitzaki\, Ph.D.\, Hellenic Mediterranean University \nEkaterini Miheli\, Ph.D.\, Hellenic Mediterranean University \nLina Pelekidou\, Ph.D.\, Hellenic Mediterranean University \nNikoleta Ratsika\, Ph.D.\, Hellenic Mediterranean University \nPamela Rothpletz-Puglia\, Ed.D.\, RD\, Rutgers University \nCharles Senteio\, Ph.D.\, MBA\, MSW\, Rutgers University \nCertificate of Participation \nA certificate of participation will be provided to all registered participants in the public event who express interest in receiving one. Participants will be able to indicate their interest right after the event\, when the organizers will follow-up with them. URL:https://shp.rutgers.edu/event/e-symposium-combating-discrimination-in-healthcare-and-fighting-health-disparities-in-greece-and-the-u-s-a/ LOCATION:NJ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210610T090000 DTEND;TZID=America/New_York:20210610T103000 DTSTAMP:20260430T204003 CREATED:20210528T150108Z LAST-MODIFIED:20210604T152635Z UID:10333-1623315600-1623321000@shp.rutgers.edu SUMMARY:Employing Technology to Improve Health Assessment\, Health Communication\, & Healthcare Delivery: Research from Greece and the U.S. DESCRIPTION:Employing Technology to Improve Health Assessment\, Health Communication\, & Healthcare Delivery: Research from Greece and the U.S. \nNew communication and information technologies continue to pave the way for innovation in healthcare seeking and delivery\, and in health information seeking\, processing\, and sharing. Technological advancement has also produced new tools that facilitate individuals’ efforts to monitor their health\, as well as seeking and providing social support to people living with various health conditions. Additionally\, today more than even before\, researchers\, health professionals\, community leaders and policymakers are exploring ways to leverage technology in the interest of health promotion and prevention. In combination with the aforementioned trends\, the COVID-19 pandemic has raised public awareness around and forced the adoption of telehealth\, e-health\, and m-health applications and services. \nIn this first of a series of e-symposia co-organized by Harokopio University (see also: https://www.hua.gr/index.php/en/) and Rutgers University’s Schools of Communication and Information and Health Professions\, faculty will share their research regarding the above mentioned issues in Greece and the United States. A reaction panel will kick off a Q&A session and conversation among all attendees. \n\n\n\n\nDate: Thursday\, June 10\, 2021 \nTime: 9 am – 10:30 am EDT (U.S.) / 4 pm – 5:30 pm (Greece) \nRegistration: To participate\, please register by Monday\, June 7\, 2021 \nProposed Agenda and Presenters \n\n\n\nIntroductions and Presentation of the Harokopio University-Rutgers University Partnership Mara Nikolaidou\, Ph.D.\, Rector (Harokopio University)\nMatthew Matsaganis\, Ph.D. & Riva Touger-Decker\, Ph.D. (Rutgers University) \nResearchPresentations \nCOVID-19 Detection from Chest X-Ray Images Using Deep Learning and Convolutional Neural Networks: Instinct-Driven Research Versus the Reality\, and Why Communication Would Help Konstantinos Tserpes\, Ph.D. (Harokopio University) \nAbstract: The recent pandemic has urged researchers and practitioners alike to make use of their skills and tools to a common cause\, cure or mitigate the effects of the SARS-CoV-2 virus. Towards that end\, we investigated the option to employ technology in order to assist the diagnosis of patients infected by the virus. As such\, several state-of-the-art pre-trained convolutional neural networks were evaluated as of their ability to detect infected patients from chest X-Ray images. A dataset was created as a mix of publicly available X-ray images from patients with confirmed COVID-19 disease\, common bacterial pneumonia and healthy individuals. The experimental results demonstrate that the classification performance can reach an accuracy of 95% for the best two models. In our effort to put the results to a good use\, we contacted a reference hospital and presented the work to the medical staff to learn some good lessons about the drivers of our research. \nBoosting the Digital Transformation of Healthcare with the Use of Artificial Intelligence (AI) Tools and Methods George Dimitrakopoulos\, Ph.D. (Harokopio University) \nAbstract: Technological developments in the fields of IoT\, ML and AI can provide significant cost savings and lead to improvements in many hospital processes\, especially those that require automation\, timely responses and informed decision making (e.g. patient monitoring and management in ICU\, personalized treatment of severe cases etc.). For the benefit of patients and practitioners\, it is necessary to develop platforms that are predictably safe\, and allow regulatory reviews to happen quickly\, and manufacturers to produce solutions at low cost on a massive scale. AI and digital solutions could also contribute to more effective and automated work management processes\, while offering continuous training for health and care workers. Several such solutions are already employed in small-scale and can be deployed in a large-scale when specific implementation factors are supported. In the light of the above\, this presentation seeks to: (a) Promote an effective and efficient health care system transformation\, by discussing on the use of IoT\, ML and AI technological developments; and (b) Introduce an AI platform that will allow for core facilities to be automated and linked with smart services for healthcare professionals\, patients\, information system managers\, and health organization administrations. \nMachine Learning for Objective Behavior Measurement and its Potential in Improving Health Communication Christos Diou\, Ph.D. (Harokopio University) \n\n\n\n\n\n\nAbstract: In this talk we discuss how recent advances in machine learning (for processing of signals from wearable sensors) and causal modeling (for handling observational data) can better facilitate communication between patients and clinicians\, as well as between researchers/clinicians and health policy makers. We briefly present new methods for obtaining detailed objective measures of eating behavior\, including a method for measuring eating behavior from a commercial smartwatch\, a method for automatically extracting eating-related indicators from a plate scale and methods for detecting snacking from a chewing sensor. We also discuss how such results can facilitate communication between dietitians and overweight young adults. We then explore how such methods can be applied with off-the-shelf mobile phones and smartwatches for measuring population-level behavioral indicators. Finally\, we briefly review how objective behavior measurements and causal models will be used in the REBECCA project to facilitate patient-doctor communication and help develop personalized care strategies for improving the quality of life of breast cancer patients after the primary cancer treatment. \nBehavioral Informatics \nVivek Singh\, Ph.D. (Rutgers University) \nAbstract: The field of Behavioral Informatics focuses on collecting\, analyzing\, and interpreting heterogeneous data to model human behavior. Through multiple examples of recent projects\, we will illustrate how digital data and Artificial Intelligence can be utilized in multiple health and wellbeing related tasks. At the same time\, we will discuss some challenges in utilizing such data to model human behavior (e.g.\, privacy\, algorithmic bias) and illustrate early mitigation strategies. \nDevelopment and Testing of a Mobile Health Application for Gestational Diabetes \nShristi Rawal\, Ph.D. (Rutgers University) \nAbstract: Tight glycemic control via diet and lifestyle modification is a critical part of gestational diabetes (GDM) management\, but in resource-limited settings like Nepal\, time for diet/lifestyle counseling often competes with other components of antenatal care. Mobile health (mHealth) technology can be leveraged to promote healthy behaviors\, and support self-management and treatment of GDM\, but this approach has not been tried previously in a low-income country setting. Taking a user-centered design approach\, we aimed to develop and test a new mobile app that supports self-management and treatment for GDM patients receiving antenatal care in a suburban hospital in Nepal. In the requirements gathering phase\, 6 GDM patients were recruited into a focus group to view paper prototypes and provide feedback on its features and functions. Key informant interviews were conducted with 5 clinicians and 3 family members. Incorporating findings and user feedback from this qualitative study\, the app development is currently underway. After the first digital prototype is developed\, 6 additional patients with GDM will be recruited for two rounds of usability testing including think-aloud protocol and focus group discussions. Final prototype will be developed following an iterative process of product design and user testing. After the app development phase\, we will recruit 60 women who are newly diagnosed with GDM and randomly assign them to either (A) GDM app + standard care\, or (B) standard care alone\, from 28 weeks of gestation to delivery. In this proof- of-concept trial\, feasibility outcomes will be app usage\, self-monitoring adherence\, and app usability and acceptability. Exploratory treatment outcomes will be glycemic control measures at 6 weeks postpartum\, neonatal birthweight\, and rates of labor induction and caesarean delivery. \n\n\n\n\n\n\nReactionPanel\,Q&A\, and Discussion\nA panel of Rutgers University and Harokopio University faculty named below will initiate a Q&A session\, during which all audience members will be able to ask questions of the presenters. All participants will be given an opportunity to have a dialogue on the issues raised by the research projects presented and their implications\, and to identify top priorities for future research\, teaching\, professional practice\, and policymaking. \n(Reaction Panel members\, in alphabetical order) \nLaura Byham-Gray\, Ph.D. (Rutgers University) Jean-François Daneault\, Ph.D. (Rutgers University) George Kousiouris\, Ph.D. (Harokopio University) Shankar Srinivasan\, Ph.D. (Rutgers University) Iraklis Varlamis\, Ph.D. (Harokopio University) \nCertificate of Participation \nA certificate of participation will be provided to all registered participants in the public event who express interest in receiving one. Participants will be able to indicate their interest right after the event\, when the organizers will follow-up with them. \nA Few Words about IAPP-Greece \nBrief Bios of Event Participants (Please find bios later in this document) \n\n\n\n\n\n\n\n\nIAPP-Greece is an academic incubator program sponsored in 2020 by the Greek Ministry of Education\, the U.S. Department of Education\, the Institute of International Education\, and the Fulbright \n\n\n\n\n\n\n\n\nFoundation\, among other organizations\, designed to promote international collaboration between U.S. and Greek institutions of higher education. Both Harokopio University and Rutgers University are IAPP- Greece participants. \n\n\n\n\n\n\n\n\n\n\nBRIEF BIOS OF EVENT PARTICIPANTS \n(In alphabetical order) \n\n\n\n\nGeorge Dimitrakopoulos\, Ph.D. \nAssociate Professor\, Harokopio University \nBio: Associate Professor George Dimitrakopoulos (pronouns: he\, him) has received his bachelor degree in Electrical and Computer Engineering in 2002 and his Ph.D. in 2007\, from the National Technical University of Athens\, and the University of Piraeus\, respectively. Since 2009 he is with the Harokopio University of Athens (HUA)\, \ndepartment of Informatics and Telematics. From 2002 till 2009 he was an adjunct lecturer and senior research engineer at the University of Piraeus\, department of Digital Systems. He is the author of 3 books\, as well as more than 160 publications in international journals and conferences\, whereas he has been involved in numerous internationally funded R&D projects. His research interests include the design and development of strategies for the optimization of wireless networks based on cognitive networking principles\, as well as the design of Intelligent Transportation Systems (ITS) and novel ICT healthcare applications. \nChristos Diou\, Ph.D. \nAssistant Professor\, Harokopio University \nBio: Dr. Christos Diou (pronouns: he\, him) is an Assistant Professor at the Department of Informatics and Telematics of the Harokopio University of Athens. He received his PhD on semantic analysis of multimedia with machine learning from the Department of \nElectrical and Computer Engineering\, Aristotle University of Thessaloniki\, Greece. His research interests lie in the areas of artificial intelligence and machine learning with an emphasis on their health-related applications. He has published 70 papers in international journals and conferences and is co-inventor in one patent. He has worked as a researcher at the Centre for Research and Technology Hellas – Informatics and Telematics Institute for international research projects ASSIST (FP6\, STREP)\, VITALAS (FP6\, IP) and CASSANDRA (FP7)\, as well as in the Aristotle University of Thessaloniki for projects SPLENDID (FP7)\, eeRIS\, CoDeR and BigO (H2020). In most of these projects he has served as a work package leader or as a member of the project coordinating team. He is currently the PI for project REBECCA (H2020) at Harokopio University of Athens\, focusing on using Real-World Data and AI for improving the quality of life of breast cancer patients who have undergone the primary cancer treatment. \nGeorge Kousiouris\, Ph.D. \nAssistant Professor\, Harokopio University \nBio: Dr. George Kousiouris (pronouns: he\, him) is an Assistant Professor at the Department of Informatics and Telematics of the Harokopio University of Athens. He received his Dipl. Eng. in Electrical and Computer Engineering from the University of \nPatras\, Greece in 2005 and his Ph.D. in Cloud Computing at the Telecommunications Laboratory of the Dept. of Electrical and Computer Engineering of the National Technical University of Athens in 2012. He has participated in numerous EU funded projects such as H2020 BigDataStack\, H2020 CloudPerfect (as lead architect and technical coordinator)\, H2020 SLALOM\, FP7 COSMOS (as lead architect and technical coordinator)\, FP7 ARTIST (as WP leader)\, FP7 OPTIMIS (as WP leader)\, FP7 IRMOS and national projects. He has published over 60 publications on topics including Cloud platforms and architectures\, Cloud services evaluation and benchmarking\, Cloud applications design\, Service Level Agreements\, IoT platforms\, Computational Intelligence\, Performance engineering and estimation. \n\n\n\n\n\n\nMatthew Matsaganis\, Ph.D. \nAssociate Professor\, Rutgers University \nBio: Dr. Matthew Matsaganis (pronouns: he\, him) is an Associate Professor at Rutgers University’s School of Communication & Information. His research focuses on the role of communication as a determinant of health disparities in urban communities\, but also on how the well-being of neighborhoods can be transformed through communication-centered interventions. In this context\, he also investigates how ethnic media can serve critical information needs—including health needs—of immigrant and ethnic communities in the digital age. He is co-author and co-editor of four books\, including Understanding Ethnic Media: Producers\, Consumers\, and Societies (SAGE\, 2011)\, The Communication Ecology of 21st Century Urban Communities (Peter Lang\, 2018)\, and Ethnic Media in the Digital Age (Routledge\, 2019). His work has been published in a number of peer-reviewed journals and edited volumes\, and funded by U.S. federal agencies\, such as the National Institutes of Health (NIH)\, but also private foundations. Matthew was a Fulbright Foundation Scholar to Greece in 2018\, during which time. He has continued to conduct research in Greece since then. His most recent research in Athens has focused on (a) solidarity outpatient clinics («κοινωνικά ιατρεία»\, in Greek) as critical community-based healthcare resources\, as well as (b) a pilot intervention project to improve communication between residents and local social services of a municipality in Western Attica. At Rutgers University\, Matthew currently serves as Ph.D. Program Coordinator for the Department of Communication. He is a Core Member of Rutgers’ Global Health Institute and serves as a member of the Greek Ministry of Migration and Asylum’s Working Group charged with assessing organizational effectiveness. \nShristi Rawal\, Ph.D. \nAssistant Professor\, Rutgers University \nBio: Dr. Shristi Rawal (pronouns: she\, her) is an Assistant Professor in the Department of Clinical and Preventive Nutrition Sciences at the Rutgers School of Health Professions. Dr. Rawal received her Ph.D. in Public Health from the University of Connecticut and completed a two-year postdoctoral fellowship at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)/NIH. Dr. Rawal’s research takes a life-course epidemiological approach to examine the nutritional and biopsychosocial risk factors of cardiometabolic diseases. One line of her research explores how taste and smell perception changes with exposures across the life span (e.g.\, smoking\, viral infections)\, and act as biological drivers of dietary behaviors and cardiometabolic disease risk. Her research also focuses on pregnancy as a critical life event that influences the short-and long-term cardiometabolic health of women and their children. Primarily\, her research emphasis has been on identifying early biomarkers\, and dietary and lifestyle determinants of gestational diabetes as well as risk factors for its progression to type 2 diabetes and other cardiometabolic complications such as renal dysfunction. Dr. Rawal is currently a Principal Investigator on two pregnancy cohort studies in Dhulikhel\, Nepal and Newark\, NJ\, respectively. She also serves as a PI on an NIH-funded study that aims to develop and test a mobile health application for self- management and treatment of gestational diabetes among pregnant women in Nepal. \n\n\n\n\n\n\nVivek Singh\, Ph.D. \nAssociate Professor\, Rutgers University Bio: \nShankar Srinivasan\, Ph.D. \nAssociate Professor\, Rutgers University \nBio: Dr. Shankar Srinivasan (pronouns: he\, him) is currently the Interim Chair\, Program Director and Associate Professor in the Department of Health Informatics. He graduated with a M.Sc. and a PhD\, both in Biomedical Engineering\, from the University of Saskatchewan\, Saskatoon\, Canada in 1988 and 1991 respectively. He has since taught at both undergraduate and graduate level programs in Australia\, Singapore and in the Rutgers University’s School of Health Professions since 2001. His research interests are mainly in the areas of health outcomes research\, data analytics and AI applications. As a Program Director and Chair he is dedicated to ensuring that the Department continues to offer high-quality and value-focused degree programs as also to enhance its global reach and image by setting up articulations with Schools and Programs both here and abroad. He has published in various peer-reviewed journals and international conference proceedings. \nRiva Touger-Decker\, Ph.D.\, RD\, CDN\, FADA \nProfessor\, Rutgers University \nBio: Dr. Touger-Decker (pronouns: she\, her) is Rutgers’ School of Health Professions Associate Dean of Global Affairs\, Professor and Chair of the Department of Clinical and Preventive Nutrition Sciences as well as the Director of the Nutrition Division in the Rutgers School of Dental Medicine. She is a registered dietitian\, internationally recognized for her expertise and leadership in nutrition and oral health/dental \neducation\, and dietetics education and serves on the Rutgers Global Health Institute Executive Committee. Her research has explored diet/nutrition and orofacial pain\, tooth loss\, and head and neck cancers\, worksite wellness\, and nutrition focused physical exam practices of dietitians. She has authored multiple peer reviewed publications and has been awarded the American Dietetic Association Medallion and Excellence in Dietetic Education Awards and the American Society for Clinical Nutrition Dannon Institute Award for Excellence in Medical/Dental Nutrition Education. She is a Fellow\, New York Academy of Medicine. Previously she has worked with academic institutions in Greece (serving as an expert reviewer for Harokopio University’s nutrition and dietetics program)\, Japan\, Israel\, Malaysia\, and Tanzania to review/develop academic programs and training courses for faculty and students. \n\n\n\n\n\nDr. Vivek Singh (pronouns: he\, him) is the founding Director of Behavioral Informatics lab and an Associate Professor in the School of Communication and Information at Rutgers University. Before joining Rutgers\, he was a post-doctoral researcher the MIT Media Lab. He holds a Ph.D. in Information and Computer Science from the University of California\, Irvine. His work has appeared in leading disciplinary and interdisciplinary publication venues (e.g.\, Science\, Proceedings of the IEEE\, JASIST) and has been covered by popular media (e.g.\, The New York Times\, BBC\, Wall Street Journal). He was named as one of the “Rising Star” speakers by ACM SIG Multimedia in 2016. Dr Singh’s research is supported by the US National Science Foundation and Google. \n\n\n\n\n\n\n\nKonstantinos Tserpes\, Ph.D. \nAssociate Professor\, Harokopio University \nBio: Dr. Konstantinos Tserpes (pronouns: he\, him) is an Associate Professor at the Department of Informatics and Telematics of the Harokopio University of Athens. He holds a PhD in the area of Distributed Systems from the school of Electrical and Computer Engineering of the National Technical University of Athens (2008). His research work mainly revolves around software and service engineering\, cloud and edge computing and machine learning applications. He has been involved in several EU and National funded projects dealing with challenges related to scalability\, interoperability\, fault tolerance\, and extensibility in application domains such as multimedia\, e-governance\, post-production\, finance\, e-health and others. He has served as the scientific or general coordinator in several ICT projects such as +Spaces\, SocIoS\, Consensus\, Fortissimo (FP7) and BASMATI (H2020). He is the principal investigator for the ongoing projects TEACHING\, ACCORDION\, COLLABS\, CHARITY\, GLASSEAS\, MASTER and SmartShip (H2020). In these projects\, his role typically involves the coordination of software development teams and acting as the chief software architect. In this capacity he has also developed numerous mobile and web apps. \nIraklis Varlamis\, Ph.D. \nAssociate Professor\, Harokopio University \nBio: Dr. Iraklis Varlamis (pronouns: he\, him) is an Associate Professor at the Department of Informatics and Telematics of Harokopio University of Athens. He received his PhD in Computer Science from Athens University of Economics and Business\, Greece\, and his MSc in Information Systems Engineering from UMIST UK. His research interests vary from data-mining and the use of semantics in web mining to social network analytics and knowledge extraction from social media and the news. He has published more than 170 articles in international journals and conferences\, concerning web document clustering\, the use of semantics in web link analysis and web usage mining\, recommender systems\, etc. He has also co-ordinated several national R&D projects concerning data management and personalized delivery of information. He holds a patent from the Greek Patent Office for a system that thematically groups web documents using content and links. More information is available at http://www.dit.hua.gr/varlamis URL:https://shp.rutgers.edu/event/employing-technology-to-improve-health-assessment-health-communication-healthcare-delivery-research-from-greece-and-the-u-s/ LOCATION:NJ CATEGORIES:Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230215T183000 DTEND;TZID=UTC:20230215T183000 DTSTAMP:20260430T204003 CREATED:20230203T143059Z LAST-MODIFIED:20230719T203712Z UID:12005-1676485800-1676485800@shp.rutgers.edu SUMMARY:Celebration of Impact DESCRIPTION:Celebration of ImpactJoin us for a Celebration of those who have given their time\, resources\, and talents to positively affect our school and our students. \nThis event highlights the critical impact that support from alumni and friends have had on our students\, our programs\, and our pro bono clinics. This is also a special opportunity to recognize our scholarship awardees. URL:https://shp.rutgers.edu/event/celebration-of-impact/ LOCATION:Great Hall on Busch Campus CATEGORIES:Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230731T083000 DTEND;TZID=America/New_York:20230731T130000 DTSTAMP:20260430T204003 CREATED:20230731T141039Z LAST-MODIFIED:20230731T141039Z UID:13792-1690792200-1690808400@shp.rutgers.edu SUMMARY:SHP Fall 2023 Welcome Session DESCRIPTION: URL:https://shp.rutgers.edu/event/shp-fall-2023-welcome-session/ LOCATION:New Jersey Medical School\, 185 S. Orange St.\, Newark\, NJ\, 185 S. Orange St.\, Newark\, NJ\, 07101\, United States CATEGORIES:Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230803T190000 DTEND;TZID=America/New_York:20230803T200000 DTSTAMP:20260430T204003 CREATED:20230731T141356Z LAST-MODIFIED:20230731T142203Z UID:13794-1691089200-1691092800@shp.rutgers.edu SUMMARY:Doctor of Clinical Laboratory Science Virtual Open House DESCRIPTION: URL:https://shp.rutgers.edu/event/doctor-of-clinical-laboratory-science-virtual-open-house/ LOCATION:Virtual via Zoom CATEGORIES:Events,Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230809T190000 DTEND;TZID=America/New_York:20230809T200000 DTSTAMP:20260430T204003 CREATED:20230731T141613Z LAST-MODIFIED:20230802T183603Z UID:13800-1691607600-1691611200@shp.rutgers.edu SUMMARY:M.S. in Clinical Research Management Virtual Open House DESCRIPTION: URL:https://shp.rutgers.edu/event/m-s-in-clinical-research-management-virtual-open-house/ LOCATION:Virtual via Zoom CATEGORIES:Events,Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230823T190000 DTEND;TZID=America/New_York:20230823T200000 DTSTAMP:20260430T204003 CREATED:20230731T142131Z LAST-MODIFIED:20230731T142131Z UID:13802-1692817200-1692820800@shp.rutgers.edu SUMMARY:Doctor of Physical Therapy Virtual Open House DESCRIPTION: URL:https://shp.rutgers.edu/event/doctor-of-physical-therapy-virtual-open-house/ LOCATION:Virtual via Zoom CATEGORIES:Events,Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230831T160000 DTEND;TZID=America/New_York:20230831T170000 DTSTAMP:20260430T204003 CREATED:20230801T151015Z LAST-MODIFIED:20230802T183554Z UID:13847-1693497600-1693501200@shp.rutgers.edu SUMMARY:M.S. in Clinical Research Management Virtual Open House DESCRIPTION:M.S. in Clinical Research Management URL:https://shp.rutgers.edu/event/m-s-in-clinical-research-management-virtual-open-house-2/ LOCATION:Virtual via Zoom CATEGORIES:Events,Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230831T190000 DTEND;TZID=America/New_York:20230831T200000 DTSTAMP:20260430T204003 CREATED:20230731T142512Z LAST-MODIFIED:20230731T142512Z UID:13804-1693508400-1693512000@shp.rutgers.edu SUMMARY:Doctor of Occupational Therapy Virtual Open House DESCRIPTION: URL:https://shp.rutgers.edu/event/doctor-of-occupational-therapy-virtual-open-house/ LOCATION:Virtual via Zoom CATEGORIES:Events,Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230907T190000 DTEND;TZID=America/New_York:20230907T200000 DTSTAMP:20260430T204003 CREATED:20230801T161928Z LAST-MODIFIED:20230801T171200Z UID:13906-1694113200-1694116800@shp.rutgers.edu SUMMARY:Doctor of Clinical Laboratory Science Virtual Open House DESCRIPTION: URL:https://shp.rutgers.edu/event/doctor-of-clinical-laboratory-science/ LOCATION:Virtual via Zoom CATEGORIES:Events,Open House END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230911T183000 DTEND;TZID=America/New_York:20230911T193000 DTSTAMP:20260430T204003 CREATED:20230804T141215Z LAST-MODIFIED:20230804T141215Z UID:14074-1694457000-1694460600@shp.rutgers.edu SUMMARY:B.S. in Psychiatric Rehabilitation & Psychology DESCRIPTION: URL:https://shp.rutgers.edu/event/b-s-in-psychiatric-rehabilitation-psychology/ LOCATION:Virtual via Zoom CATEGORIES:Events,Open House END:VEVENT END:VCALENDAR