-------- Forwarded Message -------- Subject: [AISWorld] 3rd CFP [Due: April 30th] for the special track on Causal Learning of the IEEE International Conference on Smart Data Services 2021, Virtual, 5-10 September 2021 Date: Mon, 19 Apr 2021 10:20:05 -0700 From: Ruocheng Guo rguo12@asu.edu To: aisworld@lists.aisnet.org
Special Track on Causal Learning of the IEEE International Conference on Smart Data Services (SMDS'21) 5-10 September 2021 Online Virtual Conference https://conferences.computer.org/smds/2021/
https://conferences.computer.org/smds/2021/ Topics covered:
- Causal learning from observational big data - Causal learning with streaming data - Causality and explainability - Causally informed data analytics - Benchmarking for causal learning - Applications of causal learning in smart data services
Important dates (Extended Deadline)
- Normal paper submission: April 30, 2021 - Rebuttal phase: June 15 – 21, 2021 - Final notification to authors: June 30, 2021 - Camera-ready paper and registration due: July 15, 2021
All submission deadlines are AT 5:00AM UTC.
Author guidelines (full version at https://conferences.computer.org/smds/2021/cfp/)
- Every* full paper submission *can include up to *10 pages* for the main contents (including all text, footnotes, figures, tables and appendices) with additional pages for appropriate references. - Up to* three pages* for *“Work-in-Progress” paper* submission (including main contents and references). - Please note that the above page limit will be applied without exception. Papers violating the page limit will regretfully be desk rejected.
Full more details of the submission process are on the Call for Papers page on the conference website.
Please submit your SMDS paper at EasyChair.org: https://easychair.org/conferences/?conf=ieeesmds2021
Please read the FAQ https://conferences.computer.org/services/2021/overview/faq.html before emailing CFP inquiries to: ieeecs.smds@gmail.com.
Special Track on Causal Learning Chairs Huan Liu Arizona State University, Tempe, AZ, USA Ruocheng Guo Arizona State University, Tempe, AZ, USA
Best regards,