| Upcoming events include a MIDRC webinar, the next ScHARe Think-a-Thon, a workshop focused on improving maternal health, and more. Detailed information below. NIH to Host Virtual Listening Session on NIH Plan to Enhance Public Access to the Results of NIH-Supported Research NIH will host a virtual, public listening session to hear community feedback on the NIH Plan to Enhance Public Access to the Results of NIH-Supported Research (NIH Public Access Plan). The NIH Public Access Plan is currently available for public comment through a Request for Information (RFI) that NIH issued in February 2023. Written RFI responses on the NIH Public Access Plan will continue to be accepted until April 24, 2023. The virtual listening session will take place April 12, 2023, from 1:00 pm – 3:00 pm ET and will be viewable through NIH Videocast. Further information about the listening session, including the agenda and how to sign up to make oral comments, can be found on the event page of the NIH Office of Science Policy (OSP) website. Please note that slots for public comments will be provided in the order they are received until all slots have been filled. Upcoming MIDRC Seminar  The Medical Imaging and Data Resource Center (MIDRC) holds a seminar the third Tuesday of the month. This seminar series is an opportunity for members of the medical community to hear directly from the MIDRC team. The title of the April seminar is "What's new in the MIDRC Data Explorer for Cohort Building?," with Dr. Christopher Meyer from the University of Chicago as a speaker. The seminar will be held virtually on Tuesday, April 18 at 3:00 PM ET. Learn more on the MIDRC website, and register for the seminar here. Reminder: Save the date for the upcoming MIDRC Town Hall, to be held on Thursday, April 13, 2023 at 2:30PM ET. The focus of the town hall will be MIDRC Tools and Resources: Metrology Decision Tree and Bias Awareness Tool, with speakers Dr. Karen Drukker and Dr. Benjamin Sahiner. You can register for the town hall here. ScHARe Think-a-Thon  Join us on April 19 from 2:30-4:30PM ET for the next ScHARe (Science Collaborative for Health disparities and Artificial intelligence bias REduction) Think-a-Thon, an exciting webinar series that introduces researchers, teachers, and students to ScHARe, a collaborative research platform sponsored by the National Institute on Minority Health and Health Disparities (NIMHD) and the National Institute of Nursing Research (NINR). This Think-a-Thon will provide an interactive introduction to accessing and manipulating datasets on Terra, the web-based platform that hosts the ScHARe data repository. Learning to use these large and rich datasets can help researchers significantly expand their investigations of health disparities, health outcomes, and AI bias mitigation. Attendees will receive hands-on instruction on: - Accessing datasets through Terra
- Preparing data for analysis using Terra's platform
- Adding data to private Terra workspaces
Register today on Zoom: bit.ly/think-a-thon-3. DIPY Workshop The Diffusion Imaging in Python (DIPY) Workshop will be held April 24-28 in Santa Monica, CA. This program is designed to equip participants with the skills and knowledge needed to master the latest techniques and tools in structural and diffusion imaging. A team of expert instructors will guide participants through the fundamentals of diffusion theory, data pre-processing, fiber tracking, and much more. The curriculum is tailored to meet the needs of individuals at all levels of expertise. More information can be found here. BBQS Workshop The NIH Brain Initiative Brain Behavior Quantification and Synchronization (BBQS) Program announces an upcoming Workshop: "Sensor Technologies to Improve Our Understanding of Complex Behavior" to be held in the Natcher Auditorium on the NIH Campus, in Bethesda, Maryland on May 2-3, 2023, from 10:00 am – 5:30 pm ET (networking starts at 8:45 am ET, both days). The Workshop will feature new and existing sensor technologies from the engineering perspective; a discussion on the Internet of Things vs. remote sensing environments; multi-sensor integration for holistic behavioral analysis; data standardization and archiving; data visualization/edge computing; and computational modeling. It will bring together sensor developers with cognitive and behavioral neuroscientists, translational psychiatrists and neurologists, computational scientists, and others interested in the development of approaches for high-resolution, synchronous measurement of unconstrained behavior and neural activity in naturalistic environments to further our understanding of neurobehavioral function in health and disease. This will be a hybrid virtual/in person meeting. The meeting is free to attend; registration is required. Register for the event here. Questions? Please contact: Yvonne Bennett or Dana Schloesser Innovative Approaches to Improve Maternal Health Hybrid Workshop  On Monday, May 8, and Tuesday, May 9 from 9:00 a.m. - 6:00 p.m. each day, NIH will hold a hybrid event that brings together technology developers, medical device experts, small business innovators, implementation scientists, maternal mortality and morbidity (MMM) researchers, and academic, industry, and community-based partners. The goal is to connect the research community with small businesses that are developing new approaches to improve MMM and its associated health disparities. Panel session experts will focus on the best ways to move new maternal health technology into the community, how to address health disparities faced by pregnant people, and improve access to diagnostic and treatment tools. Topics include technology, clinical implications, community engagement, implementation, regulatory considerations, government funding, payors and investors, and more. Small businesses can apply to "pitch" their innovative solutions and receive feedback from experts in the field. Other highlights include a poster session on clinical research and interactive discussions designed to encourage interdisciplinary collaboration. The event is free and open to the public. Learn more here. | 
No comments:
Post a Comment