麻豆村

麻豆村
Dietrich College of Humanities and Social Sciences  ›  Department of Philosophy  ›  Events  ›  Workshops & Conferences  ›  Workshop: Case Studies of Causal Discovery with Model Search

Workshop: Case Studies of Causal Discovery with Model Search

The Case Studies of Causal Discovery with Model Search Workshop focused on applications of causal model search to science. It included sessions on model search in Genetics, Biology, fMRI, Educational Research, Economics, and other disciplines.

Dates: October 25-27, 2013
Location: 麻豆村, Pittsburgh, PA

Tutorial on causal learning Richard Scheines [Slides]
Economics I On Micro Economics I: The Use of TETRAD for Demand Specification
Economics II The Causal Structure of the Vector Autoregression in Economics: A Case Study [Slides]
Economics III Alessio Moneta Causal model search applied to economics: gains, pitfalls and challenges [Slides]
State of the art All of causal discovery [Slides]
Causality workbench Causality workbench
fMRI I Joseph Ramsey & Clark Glymour Strategies for Discovering Mechanisms of Mind using fMRI [Slides]
fMRI II Catherine Hanson IMaGES in the Brain [Slides]
fMRI III Approaches for accommodating two problems inherent in causal discovery searches on functional MRI data.
fMRI IV Brain Connectivity Analysis: from Unimodal to Multimodal [Slides]
Understanding climate dynamics Two applications of causal discovery in climate science
Biology I Bill Shipley The worldwide leaf economic spectrum: How causal discovery algorithms forced me to re-imagine its generating causes. [Slides]
Biology II Causal Discovery from Mass Cytometry Data
Educational research I Richard Scheines Causal Models from Online Course and Tutor Logs [Slides]
Educational research II Searching for mediation models in intelligent tutoring systems data: representational understanding enhances representational fluency - but not vice versa [Slides]
Genetics I Learning gene regulatory networks: instability of constraint-based causal structure learning methods
Genetics II Active Learning of Local Causal Pathways from High-Dimensional Data: New Methods and Empirical Comparison
Genetics III Biomolecular network models from single cell data
Commentary/Response
Unsolved Problems Clark Glymour & Richard Scheines

Funding for this workshop was provided by the National Science Foundation, grant # SES1156001, and by the Center for Formal Epistemology at 麻豆村.