![]() ![]() Review and approve program budgets, invoices, and other contract-related documents and deliverables.Monitor program performance of suicide prevention programs, assessing programmatic needs and improving quality of operations using data.They will report to the Director of Suicide Prevention Initiatives and will conduct program monitoring activities and collect, analyze, and report on program data to inform operations, evaluation, and quality assurance. The focus will be on suicide prevention initiatives, including a set of community-based suicide prevention demonstration projects for BIPOC youth and a new hospital-based suicide prevention program. The Data and Program Coordinator for Suicide Prevention Initiatives will have a background in program evaluation, project management, and child/adolescent mental health. This position is funded through the BIPOC Youth Suicide Prevention Initiative and is located within the Bureau of Children, Youth, and Families, Division of Mental Hygiene, DOHMH, in Long Island City, Queens. Provide strategic direction to existing endeavors and expand efforts to mitigate the socio-environmental risk factors for suicide through public health, urban planning, and urban design strategies.Increase and diversify suicide prevention services for youth and their families/other support networks.Develop DOHMH's capacity to monitor this urgent public health issue.This effort will be supported by a dedicated team of staff who will: These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City.ĭOHMH is launching a coordinated suicide prevention effort that aims to reduce suicide deaths and suicide-related behaviors among NYC youth and young adults. It facilitates partnerships, often new and unconventional, between government and the private sector to develop, test, and launch new initiatives. To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city. ![]() The Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers. ATLAS.Data and Program Coordinator, Suicide Prevention Initiatives You can request a free personalized presentation for you and your peers, students, or colleagues to learn more about any aspect of the software. ATLAS.ti: Free personalized webinars for groups ![]() Each course is made up of a set of lectures, reference material, and guided exercises, and participants can ask questions to the instructor. Introductory and advanced online trainings through web conferencing. ATLAS.ti: Online workshops (synchronous and asynchronous formats) These series of webinars cover a range of topics related to qualitative methodology, and they are given by professionals from all around the world. ATLAS.ti: Free qualitative methodology webinars These webinars show how to conduct a literature review using ATLAS.ti (for Windows and Mac) in one hour, including how to organise articles, import references from a bibliographic reference manager, analyse the information, use the advanced analysis tools, and create visual networks. ATLAS.ti: Free literature review webinars These webinars provide an introduction and global overview to ATLAS.ti (for Windows and Mac) in one hour, including how to set up a project, analyse a range of data types (.g., text, image, video, audio, geo-data, and Twitter data), use the advanced analysis tools, and create visual networks. It offers a variety of features and advanced analysis tools for analysing, coding, and visualising a wide range of qualitative data (e.g., text, image, video, audio, geo-data, and Twitter data). You can use ATLAS.ti for analysing large bodies of data, whether it be text, graphical, audio or video. ![]()
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