Causality Causality Workbench                                                             Challenges in Machine Learning Causality

Causality Resources Submission Form

Everything in yellow is required

Depositor login:
Email: You must be registered in order to submit entries.
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Contact name:
Contact url:
Resource type:
Resource name: No space, no special character. For publications, use a BibTeX-style name e.g. smith08causal)
Resource url:
Authors: Comma separated list
Key facts:
For data: Data dimensions (number of variables, number of entries), variable types, missing data, etc. See for inspiration.
For software: Source provided? Language. Executable provided? Platform. License. Maturity.
For publication: Journal or book, Volume,number, series, editors, year, pages, etc.
For announcement: Deadline, etc.
Keywords: Comma separated list
Suggested values:, structural.equation.models, probabilistic.graphical.models, markov.decision.processes, propensity.scoring, (click to add to list)

Enter the citation for this resource. If not provided, the default recommended citation will be: @misc{<Resource name>,
author = <author list>,
title = <title>,
year = <year submitted>,
month = <month submitted>,
url = <resource url>,
institution = "Causality workbench repository" }
Supplement 1 name: For example a technical memorandum.
Supplement 1 url:
Supplement 2 name: For example some slides
Supplement 2 url:
Supplement 3 name:
Supplement 3 url:

Logo url: A gif of jpg image with your resource logo. (64x64 pixels)