Added an news update for the workshop
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@ -37,10 +37,28 @@ For a quick introduction to causal inference, check out `amit-sharma/causal-infe
Documentation for DoWhy is available at `microsoft.github.io/dowhy <https://microsoft.github.io/dowhy/>`_.
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News
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**2022.03.13**: **Call for Content**.
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. Were charting the course for future development of DoWhy and need your help.
What more would you like to see in the library? New kinds of tasks, better functionality for the core tasks? Let us know!
We are also looking for stories of problems you have solved using DoWhy+EconML to highlight in the workshop. If you have one,
please reach out to caburact@microsoft.com or respond on the discussions page (https://github.com/microsoft/dowhy/discussions/392).
The need for causal inference
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