*Website*: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cclear.cc%2F2023%2FCallforDatasets&data=05%7C01%7Cuai%40engr.orst.edu%7C9a2a25c80cdb471bbcbc08db06d7f188%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638111296758316015%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2FqB4HkLyP5%2BLB969Bbt9a4akEezJDO5vggcW2BWG%2BjY%3D&reserved=0
*Submission deadline*: March 10th 2023 Call for datasets, CLeaR 2023 We are thrilled to announce our *causal benchmark dataset track* as part of our *CLeaR 2023 conference*. High-quality, publicly available causal datasets are critical for advancing the field of causality, and we seek to provide researchers with a diverse collection of datasets that can be routinely used to test, benchmark, and improve the overall performance of causal methods and algorithms. This includes but is not limited to causal inference, causal discovery, and causal representation learning. By submitting your dataset to the CLeaR 2023 dataset track, you will not only be contributing to enabling new discoveries in the field of causality, but also empowering the real-world impact in various domains such as natural sciences, healthcare, social sciences, and economics. Together with the various research fields, we hope to have a positive impact on the future of the field, and to advance our understand of causality. We encourage researchers from all fields to submit their datasets and be part of this exciting initiative. Further details and submission instructions are available on our website: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cclear.cc%2F2023%2FCallforDatasets&data=05%7C01%7Cuai%40engr.orst.edu%7C9a2a25c80cdb471bbcbc08db06d7f188%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638111296758316015%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2FqB4HkLyP5%2BLB969Bbt9a4akEezJDO5vggcW2BWG%2BjY%3D&reserved=0 Key dates - Submission deadline: Mar 10, 2023 - Acceptance Notification: Mar 27, 2023 - Publication on dedicated website: TBD
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