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README.rst
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README.rst
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@ -37,10 +37,28 @@ For a quick introduction to causal inference, check out `amit-sharma/causal-infe
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Documentation for DoWhy is available at `microsoft.github.io/dowhy <https://microsoft.github.io/dowhy/>`_.
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.. raw:: html
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<details>
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<summary><a><strong><em>Table of Contents</em></strong></summary>
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.. i here comment toctree::
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.. i here comment :maxdepth: 4
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.. i here comment :caption: Contents:
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.. contents:: **Contents**
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.. contents::
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.. raw:: html
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</details>
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News
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-----
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**2022.03.13**: **Call for Content**.
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Hello everyone, Microsoft will be hosting a workshop to explore current and future applications for DoWhy and EconML on Tuesday, May 3, 2022. With DoWhy, our goal has been to make answering ‘what if’ questions a whole lot easier by providing a state-of-the-art, end-to-end framework for causal inference, including automated causal identification and robustness procedures. We’re charting the course for future development of DoWhy and need your help.
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What more would you like to see in the library? New kinds of tasks, better functionality for the core tasks? Let us know!
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We are also looking for stories of problems you have solved using DoWhy+EconML to highlight in the workshop. If you have one,
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please reach out to caburact@microsoft.com or respond on the discussions page (https://github.com/microsoft/dowhy/discussions/392).
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The need for causal inference
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