Updated Link for This Month's OpenSim Webinar "Predictive Simulation of Biological Motion Using SCONE" October 24, 2019 at 11am Pacific Daylight Time We have a new link <https://stanford.webex.com/mw3300/mywebex/default.do?nomenu=true&siteurl=stanford&service=6&rnd=0.04777961906121475&main_url=https%3A%2F%2Fstanford.webex.com%2Fec3300%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%26%26%26EMK%3D4832534b00000004ab939bb8d2bb79c1552ed447c29a80cd7a9f9356878c910856b2eb74faff6695%26siteurl%3Dstanford%26confViewID%3D142228184717339578%26encryptTicket%3DSDJTSwAAAARjzf97LOnUhpXLAsedCeFCiMHJ5FGBxi7kKr-3ixfyjQ2%26> for joining this month's webinar. If you are planning to join, please make sure you update your calendars. Details about the webinar are provided below. Predictive simulations generate motion trajectories that perform a specific task according to high-level objectives, such as walking speed or energy efficiency. This approach is useful for applications where the motion is unknown, for example, in predicting treatment outcomes. In this webinar, Thomas Geijtenbeek from Delft University will provide an introduction to predictive simulations and a new software framework SCONE<https://scone.software/> that enables individuals without programming skills to run predictive simulations. --- Joy P. Ku, PhD Project Manager, SimTK<http://simtk.org/> Director of Communications & Training, NCSRR<http://opensim.stanford.edu/> Director of Communications & Engagement, Mobilize Center<http://mobilize.stanford.edu/> Stanford University (w) 650.736.8434 Email: joyku@stanford.edu<mailto:joyku@stanford.edu>