Call for Papers

All submitted contributions will be lightly peer-reviewed and evaluated on the basis of the quality of submission, originality, and breath of interest. We especially welcome contributions on emerging topics that have the potential to encourage discussions. Industrial applications and position papers that present novel ideas, issues, challenges and directions are also welcome. Specifically we solicit the following two types of submissions (please indicate the type of your submission on the first page of the submission):

1. Research papers that report the results of new, recent, or ongoing research, emphasizing either on theory side or application side or both.
2. Challenge/Position papers that describe a vision for how data elicitation for AI systems should evolve as a field.

To foster and encourage a wide participation and discussion, there will be no formal workshop proceedings.

Format

For Research papers, we invite two formats of submissions:

1. No more than 6 pages double-column (IJCAI18 template) + references,
2. Abstracts with a link to a full archive paper (no format required).

For Challenge/Position papers, we encourage submissions within 3 pages limit (double-column IJCAI18 template) + references.

All accepted papers (posters, abstract, preliminary draft as authors prefer) will be posted on our website to the benefit of the participants to the workshop. Submissions of preliminary work, papers currently under review or in preparation for submission to other major venues in the field, and papers that have been accepted in relevant venues or published in the past year, are encouraged. Papers that appeared on arXiv, but haven’t been accepted for publication, are encouraged.

Topics of Interest

Submissions are invited, but not limited to, the following topics:

• Quality control of crowdsourced data
• Economic mechanisms for information elicitation
• Reputation systems for information elicitation
• Data and prediction markets
• Wagering mechanisms for prediction
• Distributed trusted oracles
• Machine learning with strategic agents/Adversarial machine learning
• Reinforcement learning with human inputs
• Safety in machine learning with human inputs
• Data collection for specific applications (healthcare, law enforcement, urban planning etc)
• Rumours/fake news detection

Important dates

• Submission deadline: May 10, 2018.
• Notification of acceptance: May 24, 2018.

Submission Site

Use the following link to access the submission site: Submission Site.