[DL] CIKM 2020 - Call for Applied and Resource papers - COVID19 UPDATES

[CIKM 2020 Publicity]

* Apologies for cross-posting *

** 2nd Call for APPLIED RESEARCH PAPERS and RESOURCE PAPERS **

CIKM 2020 <https://cikm2020.org/> (October 19th-23rd, 2020)

CIKM 2020 will be a fully virtual conference, with no travel involved, and
presentations will be given via pre-recorded videos, followed by
synchronized online discussions during the scheduled conference period.
CALL FOR APPLIED RESEARCH PAPERS

More info: https://cikm2020.org/call-for-applied-research-papers/
Important Dates

Paper abstract submission deadline: June 1, 2020

Paper submission deadline: June 8, 2020

Paper acceptance notification: July 24, 2020

Camera ready submission deadline: August 17, 2020

The Applied Research Track aims at attracting submissions from both
industry and academia that either solve or advance the understanding of
issues related to deploying AI, IR and big data technologies as part of
actual applications.

Topics of Interest:

We encourage submissions of works in the same area of relevance of the
CIKM2020 Research Track but that describe applied and in-use works,
including but not limited to the following application areas:

- Business Intelligence

- Social Networks and Social Good

- Healthcare and Bioinformatics

- Computing Infrastructures

- Emerging Applications
CALL FOR RESOURCE PAPER

More info at https://cikm2020.org/call-for-resource-papers/
Important Dates

Paper abstract submission deadline: June 1, 2020

Paper submission deadline: June 8, 2020

Paper acceptance notification: July 24, 2020

Camera ready submission deadline: August 17, 2020

CIKM recognises the importance of publicly available scientific resources,
such as datasets, evaluation benchmarks, tools or libraries as a necessary
and important prerequisite for fostering research in core CIKM areas.
The Resources
Track seeks submissions from both academia and industry that describe resources
available to the community.

An ideal resource track paper will fit into one or more of the following
categories:

   1.

   Describing a new and innovative dataset
   1.

      To support research on novel application domains;
      2.

      To support novel evaluation tasks;
      3.

      Created using novel methods and/or algorithms;
      4.

      Labeled using novel and well-described annotation and/or
      crowdsourcing approaches;
      2.

   Reusable research prototypes and services;
   3.

   Open software frameworks, tools and libraries which support tasks in
   data science, data engineering or information & knowledge management".


Check our sponsorship options <https://cikm2020.org/sponsorship/> for an
opportunity to reach out to the experts in the domain!
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