Online Resources
Find more available online resources including: courses, lectures, workshop presentations, and BD2K webinars.
A short introduction
In the digital age in which we live, scientists are collecting huge amounts of data, and making sense of all of it is a major challenge. Often the task is to extract as much causal knowledge as possible from such data. Many statistical methods cannot accommodate the tens of thousands […]
Tools
We have written made available software and libraries that implement well known and experimental causal discovery algorithms: Notes: Bugs and Issues: Please report any bugs that you might encounter on our issue trackers. Acknowledgements: If you use our software in your research, please acknowledge the Center for […]
Biomedical Science
We selected 3 very different biomedical problems to use as test beds for our algorithms and to drive the development of new algorithms that meet the needs of biomedical researchers. Cancer The Cancer Signaling Pathways project seeks to discover the genomic drivers of tumors and the cell signaling pathways […]
CCD Distinguished Lecturer – Dr. Ioannis Tsamardinos
When:
August 19, 2016 @ 11:00 am – 12:00 pm
Where:
Rooms 407A/B BAUM, 5607 Baum Blvd., The Offices at Baum
Ioannis Tsamardinos, PhD, Associate Professor, Department of Computer Science, University of Crete, Greece “Logic-Based Causal Discovery for Heterogeneous Datasets” Abstract: Computational Causal Discovery aims to induce causal models, causal networks, and causal relations from observational data without performing or by performing only few interventions (perbutations, manipulations) of a system.[…]
CCD Distinguished Lecturer – Dr. Marloes Maathuis
When:
November 11, 2016 @ 9:00 am – 10:00 am
Where:
Rooms 407A/B BAUM, 5607 Baum Blvd., The Offices at Baum
Center for Causal Discovery Distinguished Lecture in Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Marloes Maathuis, PhD, Associate Professor, Department of Statistics, ETH Zurich, Switzerland, “TBA,” at 9:00 am on Friday, November 11, 2016, in Rooms 407A/B BAUM, 5607 Baum Blvd., The[…]
CCD Distinguished Lecturer Ricardo Silva, PhD
When:
September 15, 2016 @ 11:00 am – 12:00 pm
Where:
407A/B BAUM, 5607 Baum Blvd, The Offices at Baum
Ricardo Silva, PhD, Lecturer, Department of Statistical Science and Centre for Computational Statistics and Machine Learning, University College London, “Learning Causal Effects: Bridging Instruments and Backdoors,” at 11:00 am on Thursday, September 15, 2016, in Rooms 407A/B BAUM, 5607 Baum Blvd., The Offices at Baum. Abstract: We consider the problem[…]
Causal Discovery Datathon
When:
June 17, 2016 @ 1:00 pm – June 18, 2016 @ 4:30 pm
Where:
Carnegie Mellon University, Baker A51
Causal Discovery Datathon – June 17-18, 2016, Carnegie Mellon University, Pittsburgh, PA Location: Baker Hall, Giant Eagle Auditorium, A51, CMU Datathon Director: Jeremy Espino, MD, MS ⇒ Registration CLOSED ⇐ Immediately following the CCD Summer Short Course, we will hold a Datathon designed to instruct and challenge biomedical researchers on the use and[…]
Summer Short Course – Causal Discovery from Biomedical Data
When:
June 13, 2016 @ 8:30 am – June 17, 2016 @ 12:00 pm
Where:
Carnegie Mellon University, Baker A51
Causal Discovery from Biomedical Data – June 13-17, 2016, Carnegie Mellon University, Pittsburgh, PA Location: Baker Hall, Giant Eagle Auditorium, A51, CMU Course Director: Richard Scheines, PhD ⇒ Registration CLOSED for BOTH Short Course and Datathon ⇐ Attendees, either biomedical or data scientists, are expected to have knowledge of basic statistical principles, but no prior[…]
2016 Summer Short Course on Causal Discovery from Biomedical Data & Causal Discovery Datathon
Causal Discovery from Biomedical Data – June 13-17, 2016, Carnegie Mellon University, Pittsburgh, PA Location: Baker Hall, Giant Eagle Auditorium, A51, CMU Course Director: Richard Scheines, PhD Day 1 Morning Presentation Day 1 Afternoon Presentation Day 2 Morning Presentation Day 3 Morning Presentation Application of causal modeling on chronic lung disease Causal […]