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CrowdKDD 2012 : KDD 2012 Workshop on Crowdsourcing and Data Mining

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Link: http://www.cse.ust.hk/~nliu/crowdkdd12/
 
When Aug 12, 2012 - Aug 16, 2012
Where Beijing, China
Submission Deadline May 10, 2012
Notification Due Jun 10, 2012
Final Version Due Jun 15, 2012
Categories    data mining   knowledge discovery   human computer interaction   crowdsourcing
 

Call For Papers

KDD 2012 Workshop on Crowdsourcing and Data Mining (CrowdKDD'12)
Beijing, China, August 12, 2012

http://www.cse.ust.hk/~nliu/crowdkdd12/

In recent years, the emergence of powerful crowdsourcing platforms such as Amazon's Mechanical Turk, Livework, Crowdflower, DoMyStuff, etc, has greatly broadened the scope of applications that can utilize crowd intelligence via novel computational and economical mechanisms. We are only beginning to understand how the landscape of our field is going to change when the crowd is becoming an integral part of the entire data mining process from data collection, modeling to evaluation. The goal of this workshop is to bring together interested researchers in order to shape a vision of the important research challenges posed to the data mining community by crowdsourcing.

We invite submissions of papers describing original research addressing data mining challenges in association with crowdsourcing. This includes but is not restricted to the following topics:
- Novel mechanisms and tools (e.g., human computation, gamification) for engaging users in data generation tasks
- Cleaning and quality control of data collected via crowdsourcing
- Learning with multiple imperfect labelers
- Techniques for identifying and mitigating spam and abuse in crowdsourcing tasks
- Large-scale knowledge discovery and performance evaluation with the support of crowd
- Use cases and applications of data mining related to crowdsourcing
- User models and human factors in designing crowdsourcing systems e.g. incentives, cognitive bias, bounded rationality, etc.
- Performance evaluation and economical analysis for crowdsourcing based data mining applications

We especially welcome innovative data mining solutions and case studies involving significant use of a crowdsourcing platform such as Amazon's Mechanical Turk, Crowdflower, etc.


* Submission Instructions
Submissions should report new (unpublished) research results or ongoing research. A Papers should be no more than 9 pages total in length. The format is the standard double-column ACM Proceedings Style. Additional information about formatting and style files are available online at:
http://www.acm.org/sigs/publications/proceedings-templates


* Important Dates
Submissions due: May 10, 2012
Notification of acceptance: June 10, 2012
Camera-ready submission: June 15, 2012
Workshop date: August 12 , 2012


* Organizers
Shipeng Yu, Siemens
Ed H. Chi, Google
Irwin King, Chinese University of Hong Kong
Nathan N. Liu, Hong Kong University of Science and Technology
Haifeng Wang, Baidu
Gui-Rong Xue, Aliyun

For additional inquiries, please contact the organizers at crowdkdd12@gmail.com.

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