* DESCRIPTION AND TOPICS *

Crowdsourcing systems, such as Amazon Mechanical Turk and CrowdFlower, utilize human power to perform difficult tasks, such as entity resolution, search, filtering, image matching, or clustering. The important issues of collecting and managing the large volume of data in these applications have attracted plenty of attention from the database community. The goal of DBCrowd 2013, the First VLDB Workshop on Databases and Crowdsourcing, is to provide an avenue for database researchers and practitioners to disseminate and explore new research directions and promising results at the confluence of crowdsourcing and database areas.

The topics of interest of the workshop include, but are not limited to:

- Analyzing crowdsourcing worker behavior
- Cleaning data obtained from crowdsourcing
- Crowd database systems
- Data analytics with crowds
- Declarative languages for crowdsourcing
- Effective tagging in crowdsourcing
- Entity-resolution with crowds
- Incentive allocation for crowdsourcing
- Labeling objects with crowds
- Probabilistic modeling of the crowd
- Scalable crowdsourcing systems
- Sorts and joins with crowds
- Utilizing social network information to support crowdsourcing
- Voting strategies for crowdsourcing data


* ORGANIZATION*

Program Committee Co-Chairs:

Reynold Cheng, The University of Hong Kong, Hong Kong
Anish Das Sarma, Google, USA
Pierre Senellart, Télécom ParisTech, France


Program Committee:

Sihem Amer-Yahia, CNRS, France
T.-H. Hubert Chan, The University of Hong Kong, Hong Kong
Michael Chau, The University of Hong Kong, Hong Kong
Lei Chen, Hong Kong University of Science and Technology, Hong Kong
Jiefeng Cheng, Shenzhen Institutes of Advanced Technology, China
Susan Davidson, University of Pennsylvania, USA
Michael J. Franklin, U.C. Berkeley, USA
Ada Waichee Fu, Chinese University of Hong Kong, Hong Kong
Donald Kossmann, ETH Zürich, Switzerland
Tim Kraska, Brown University, USA
Guoliang Li, Tsinghua University, China
Eric Lo, The Hong Kong Polytechnic University
Samuel Madden, MIT, USA
Silviu Maniu, The University of Hong Kong, Hong Kong
Amélie Marian, Rutgers University, USA
Zaiqing Nie, Microsoft Research Asia, China
Jian Pei, Simon Fraser University, Canada
Mauro Sozio, Télécom Paristech, France
Martin Theobald, University of Antwerp, Belgium


* SUBMISSION *

The workshop will consider *research papers* presenting new or promising results revolving around the topics listed above . We also encourage the submission of vision or position papers which present interesting and novel open problems or new perspectives on crowsourcing and database research.
Submissions must be formatted using the VLDB style, and must not exceed *six* pages in length for research papers and *four* pages for vision papers, including references and appendices. The submissions must not be prevously published or considered for publication in other venues. All submissions will be reviewed by at least three reviewers, and will be handled electronically.
Papers must be submitted electronically in PDF format at https://www.easychair.org/conferences/?conf=dbcrowd2013.