Description: |
The Center for Causal Discovery (CCD), an inaugural Center of Excellence in the NIH Big Data to Knowledge (BD2K) Consortium, is pleased to announce our upcoming Summer Short Course on Causal Discovery from Biomedical Data. This intense (and fun), 4-day, hands-on learning event will introduce data scientists and biomedical investigators at the graduate level and above who understand basic statistical principles to:
Major topics in causal graphical modeling
Machine learning of causal models from biomedical data
Advances in biomedical research through causal discovery
The CCD short course is directed by Dr. Richard Scheines, a leader in the field of statistical causal models and a pioneer in education technology. Attendees will also learn from and work with other CCD members who are experts in data science and biomedical research at the University of Pittsburgh, Carnegie Mellon University, and the Pittsburgh Supercomputing Center. For more information and registration, please see the website.
Registration Deadline: Friday, May 15, 2015 – closed at 75 registrants
Costs: No registration fee, but attendees will be responsible for travel, housing (discount dorm and hotel rooms available), and most meals
We also encourage attendees to bring their own large biomedical datasets to discuss and analyze as well as posters they may wish to present at our dinner-poster session. If you or any of your colleagues would like to bring your own data, please contact Dr. Joe Ramsey in advance to ensure they are the appropriate type and format. All attendees must bring laptops as each session will involve hands-on training with individualized support.
We ask that you please distribute this announcement to any colleagues and students who may benefit from our short course. For any logistical questions, please contact Toni Porterfield (tls18@pitt.edu).
We hope to see you and your colleagues in Pittsburgh this June! |