The conference is designed for Behavioral and Social Science Research (BSSR) scientists to learn about AI and applications to their research. It brings together several AI experts on campus and features Keynote Speaker Amy Bucher, PhD, Chief Behavioral Officer at Lirio.

This course will identify the Single IRB model for Multi-Site research, show the regulatory requirements of sIRB review and the exceptions to sIRB requirements, and explain sIRB requests of IRBMED as sIRB (accepting oversight), External IRB as sIRB (ceding oversight), and UofM as the Coordinating Center.

This course will review what research is subject to FDA oversight, highlight the differences between OHRP and FDA regulations, learn the responsibilities of sponsors, investigators, and the IRB when conducting and reviewing research involving drugs and devices, and examine the requirements for conducting research with a drug or biologic/medical device.

This course will examine the additional regulatory requirements for conducting research involving pregnant women, fetuses, neonates, children, and prisoners, including the requirements for these populations in a research project and obtaining informed consent.

Join e-HAIL for a discussion on AI-powered approaches and tools to improve mental health for individuals and at scale. At this interactive session, U-M researchers will briefly present some current “mental health & AI” projects, focusing on new collaborations and ways to utilize additional data sources as they become available. This will be followed by table discussions focused on different topics, including topics from the showcase and other topics/problems/innovations that participants are interested in exploring.

This course will introduce the basics of conducting human subject research in compliance with federal regulations and institutional practices.

Event Rescheduled

This multi-day, virtual workshop is for researchers who manage lots of data and/or execute compute-intensive analyses.

This course offers an overview of informed consent in human subject research. The course will examine IRBMED’s standard consent template and focus on how it reflects federal requirements.

Learn about the G4, a bench-top sequencer with novel high-performance chemistry and advanced engineering, optimized to deliver unmatched power, speed, and flexibility, and the G4XTM Spatial Sequencer, a high-throughput in situ spatial sequencer for transcriptomic and proteomic analysis from FFPE samples at subcellular resolution.

This course is intended for those unfamiliar with eResearch, the university’s electronic research administration site. This course will provide a basic knowledge of working in and using eResearch while examining the process for creating and submitting an initial project application.

This multi-day, virtual workshop is for researchers who manage lots of data and/or execute compute-intensive analyses.

This course offers an overview of some special situations relating to informed consent. Specifically, waivers and alterations of informed consent, waivers of documentation of informed consent, and obtaining consent from non-English speakers.

This course will identify what constitutes an Adverse Event, ORIO, and Unanticipated Problem and how such events impact risk to subjects. Additionally, the course will review the requirements of reporting such events to the IRB and other entities.

This course is a follow-up to Initial Project Applications and will examine the process for submitting amendments and scheduled continuing reviews to IRBMED using eResearch once a project’s initial application has been approved.

Presented by the Clinical Trials Support Office, a unit of the Medical School Office of Research, the Research Foundations for Investigators series is for early-career investigators and their teams that are looking to develop their skills and grow their research portfolio. Session 3 data management best practices.