center for causal discovery (ccd) training plan overview joe ayoob, training component co-i june 24,...
TRANSCRIPT
![Page 1: Center for Causal Discovery (CCD) Training Plan Overview Joe Ayoob, Training Component Co-I June 24, 2015 Center Director: Greg Cooper Training Component](https://reader035.vdocument.in/reader035/viewer/2022062805/5697bfd71a28abf838cae719/html5/thumbnails/1.jpg)
Center for Causal Discovery (CCD)
Training Plan Overview
Joe Ayoob, Training Component Co-I
June 24, 2015
Center Director: Greg CooperTraining Component C0-Leaders: Richard Scheines
Ivet Bahar
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CCD Goals
Develop algorithms to discover
causal relationships and networks
from large and diverse types of
biomedical data and background
knowledge, i.e., big data
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Develop CD algorithms for very large biomedical data sets in DBPs…• Cancer driver mutations
- tumor genomes, gene/microRNA expression data…• Lung fibrosis driving factors
- tissue images, gen-/transcript-/methyl-omes…- clinical phenotypes: lung function, smoking history…
• Functional brain connectivity- fMRI data: autism spectrum, schizophrenia, neurotypicals
Disseminate: algorithms, software, tools
Train: Data Scientists to develop and apply CCD tools to biomed. Q’sBiomedical Scientists to use CCD tools to discover causality
CCD Goals
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Activities
• Hold regular meetings
• Maintain an active website
• Infuse Big Data themes into existing training programs/courses
• Create new online course on Causal Discovery in Biomedicine
• Host Summer Short Course on causal graphical modeling
• Present workshops on causal modeling
• Invite distinguished seminar speakers
• Support users of CCD tools, algorithms, and software
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CCD Website
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Online Resources
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Nascent Scientists
Summer programs for UG & HS• Intro big data research at early stages• Infuse Big Data themes into classes• Students work with CCD investigators• Students work on Big Data problems
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Graduate Courses
Integrate and Augment Causal Discovery topics in existing courses
In 3 major programs:Logic, Computation, and Methodology program (CMU)Computational Biology program (CMU-Pitt)Biomedical Informatics program (Pitt)
Develop a new online course on Causal Discovery in Biomedicine
- Will be offered through above 3 programs and CMU Open Learning Initiative- Accessible to Data Scientists and Biomedical Investigators- Will integrate Causality Lab software, new tutorials, CCD biomedical
examples and case studies.
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Summer Short Course
incl. people from industry, tech, govmnt.
~90 registrations 65 attendees
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Summer Short Course
Testimonials from Casual Discovery with Graphical Models Summer Short Course:
• This course is amazing and the information is very important. I wish there were more resources available outside of this training.
• The hands-on exercises were very useful. Instructors were great!• This one of the best, most exciting courses I have ever taken, and I have
over 23 years of formal education.• Excellent team of instructors and the organization of course was perfect.
Most valuable: Hands-on component and help from TAsPlace to improve: Tuning to the proper level to reach the diverse audience
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Summer Short Course
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Summer Short Course
+ Workshops TBA - shorter short course - some existing materials - at conferences & possibly partner institutions
Lignam and algorigthms to detect cycles – Joe RamseyFeedback/time series – David Danks
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Distinguished Lecture Series
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Online Support
Coming soon…
Remote support through website – documentation & training videos
Software webinars – live, interactive demos of software (archived)
Developer office hours – direct access to CCD software developers
CCD Journal Club