[Opensim-announcement] Virtual Office Hours, NSF-DARE Conference

[Matthew Petrucci]

Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions

Application Deadline: January 13, 2023, 5 PM local time

Office Hour Dates: January 30-February 3, 2023



We are pleased to announce we will be holding Virtual Office Hours January 30-February 3, 2023 to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. We will have three tracks: 1) OpenCap<http://opencap.ai/> or other video-based analysis of movement 2) OpenSim<https://opensim.stanford.edu/> or other questions about biomechanical modeling, including via IMUs and 3) Machine learning with time series or other movement/rehab data. All phases of a research project are supported, such as formulating a research question, choosing and planning appropriate methods, and addressing issues with carrying out the study. We welcome and encourage individuals to apply as a team, if relevant. Learn more and apply<https://restore.stanford.edu/2022/11/30/apply-to-participate-in-virtual-office-hours-for-biomechanical-modeling-or-machine-learning-research-questions-7/>



Participate in NSF-DARE Conference on Modeling in Neurorehabilitation

Abstract Deadline: January 15, 2023, 11:59 PM PST

Conference Dates: March 3-4, 2023



The University of Southern California (USC) and the University of Washington are hosting a conference entitled "Transformative Opportunities for Modeling in Neurorehabilitation" at USC on March 3-4, 2023. This conference is supported by the NSF-DARE<https://beta.nsf.gov/funding/opportunities/disability-rehabilitation-engineering-dare-1> and will bring together experts and trainees from around the world to discuss critical questions, challenges, and opportunities at the intersection of computational modeling and neurorehabilitation. They will focus on four areas of impact: 1) modeling adaptation and plasticity, 2) modeling for personalization, 3) modeling human-device interactions, and 4) modeling in the wild. Learn more and register<https://dare2023.usc.edu/> | Submit abstract<https://sites.usc.edu/dare2023/abstract-submission/>
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