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WINE 2022: The 18th Conference on Web and Internet Economics
Troy, NY, USA, December 12-16, 2022
https://www.cs.rpi.edu/wine2022/
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Over the past two decades, researchers in theoretical computer science, artificial intelligence, operations research, and economics have joined forces to understand the interplay of incentives and computation. These issues are of particular importance in the Web and the Internet that enable the interaction of large and diverse populations. The Conference on Web and Internet Economics (WINE) is an interdisciplinary forum for the exchange of ideas and results on incentives and computation arising from these various fields. WINE 2022 continues the successful tradition of the Conference on Web and Internet Economics (named Workshop on Internet & Network Economics until 2013), which was held annually from 2005 to present.
 
The program will feature invited talks, tutorials, paper presentations, a poster session, and a plenary session on spotlights beyond WINE. All paper submissions will be peer-reviewed and evaluated on the basis of the quality of their contribution, originality, soundness, and significance. Submissions are invited in, but not limited to, the following topics:
 
     – Algorithmic Game Theory
     – Algorithmic Mechanism Design
     – Market Design 
     – Auction Algorithms and Analysis
     – Computational Advertising
     – Computational Aspects of Equilibria
     – Computational Social Choice
     – Learning in Markets and Mechanism Design
     – Learning under Strategic Behavior
     – Coalitions, Coordination, and Collective Action
     – Economic Aspects of Security and Privacy
     – Economic Aspects of Distributed Computing and Cryptocurrencies
     – Econometrics, ML, and Data Science
     – Behavioral Economics and Behavioral Modeling
     – Fairness and Trust in Games and Markets
     – Price Differentiation and Price Dynamics
     – Revenue Management
     – Social Networks and Network Games
 
Authors of the accepted papers will have a choice to attend the conference virtually.
 
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Important Dates
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Paper submission deadline: July 7, 2022, 11:59pm Pacific Time
 
Author notification: before September 7, 2022
 
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Submission Server
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Easychair submission link:
https://easychair.org/conferences/?conf=wine2022
 
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Submission Format
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Authors are invited to submit extended abstracts presenting original research on any of the research fields related to WINE 2022.
 
An extended abstract submitted to WINE 2022 should start with the title of the paper, each author’s name, affiliation and e-mail address, followed by a one-paragraph summary of the results to be presented. This should then be followed by a technical exposition of the main ideas and techniques used to achieve these results, including motivation and a clear comparison with related work.
 
The extended abstract should not exceed 18 single-spaced pages (including references) using reasonable margins (at least one-inch margins all around) and at least 11-point font. If the authors believe that more details are essential to substantiate the claims of the paper, they may include a clearly marked appendix (with no space limit) that will be read at the discretion of the Program Committee. It is strongly recommended that submissions adhere to the specified format and length.
Submissions that are clearly too long may be rejected immediately. The above specifications are meant to provide more freedom to the authors at the time of submission. Note that accepted papers will be allocated 18 pages (including references) in the LNCS format in the proceedings (see below).
 
The proceedings of the conference will be published by Springer-Verlag in the ARCoSS/LNCS series, and will be available for distribution at the conference. Accepted papers will be allocated 18 pages total in the LNCS format in the proceedings. Submissions are encouraged, though not required, to follow the LNCS format (Latex, Word). More information about the LNCS format can be found on the author instructions page of Springer-Verlag (https://www.springer.com/cn/computer-science/lncs/conference-proceedings-guidelines).
 
Questions regarding the submissions can be directed to the PC chairs via wine2022chairs@gmail.com.
 
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Conflict of Interest Policy
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A conflict of interest (COI) is limited to the following categories:
1.            Family member or close friend.
2.            Ph.D. advisor or advisee (no time limit), or postdoctoral or undergraduate mentor or mentee within the past five years.
3.            Person with the same affiliation (department, not institute).
4.            Involved in an alleged incident of harassment (it is not required that the incident be reported).
5.            Reviewer owes author a favor (e.g., recently requested a reference letter).
6.            Frequent or recent collaborator whom you believe cannot objectively review your work.
 
Declaring COIs prevents the specified person from reviewing a paper, thereby constraining the matching process and so potentially negatively impacting review quality. For this reason, COIs should not be declared automatically based on a prior relationship (e.g., coauthor, friend, colleague in a different department at the same institution, etc.). Authors can contact the PC chairs directly if they have a conflict with an individual who is likely to be asked to serve as a subreviewer for the paper.
 
Even though EasyChair asks the authors to specify the type of conflict of interest when they declare one, the authors do *not* need to answer that question.  They may avoid answering it by choosing the option “Others”.
 
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Best Paper Award
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The program committee will decide upon a best paper award and a best student paper award.
 
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Important Notice
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To accommodate the publishing traditions of different fields, authors of accepted papers can ask that only a one-page abstract of the paper appear in the proceedings, along with a URL pointing to the full paper.
The authors should guarantee the link to be reliable for at least two years. This option is available to accommodate subsequent publication in journals that would not consider results that have been published in preliminary form in conference proceedings. Such papers must be submitted and formatted just like papers submitted for full-text publication.
 
Simultaneous submission of results to another conference with published proceedings is not allowed. Results previously published or presented at another archival conference prior to WINE 2022, or published (or accepted for publication) at a journal prior to the submission deadline of WINE 2022, will not be considered. Simultaneous submission of results to a journal is allowed only if the authors intend to publish the paper as a one-page abstract in WINE 2022. Papers that are accepted and appear as a one-page abstract can be subsequently submitted for publication in a journal but may not be submitted to any other conference that has a published proceeding.
 
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Forward to Journal
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CALL FOR PAPERS

The full-day virtual workshop:

Machine Learning for HRI: Bridging the Gap between Action and Perception (ML-HRI)

In conjunction with the 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) – August 22, 2022   

Webpage: https://ml-hri2022.ivai.onl/

I. Aim and Scope

A key factor for the acceptance of robots as partners in complex and dynamic human-centered environments is their ability to continuously adapt their behavior. This includes learning the most appropriate behavior for each encountered situation based on its specific characteristics as perceived through the robots senors. To determine the correct actions the robot has to take into account prior experiences with the same agents, their current emotional and mental states, as well as their specific characteristics, e.g. personalities and preferences. Since every encountered situation is unique, the appropriate behavior cannot be hard-coded in advance but must be learned over time through interactions. Therefore, artificial agents need to be able to learn continuously what behaviors are most appropriate for certain situations and people based on feedback and observations received from the environment to enable more natural, enjoyful, and effective interactions between humans and robots.

This workshop aims to attract the latest research studies and expertise in human-robot interaction and machine learning at the intersection of rapidly growing communities, including social and cognitive robotics, machine learning, and artificial intelligence, to present novel approaches aiming at integrating and evaluating machine learning in HRI. Furthermore, it will provide a venue to discuss the limitations of the current approaches and future directions towards creating robots that utilize machine learning to improve their interaction with humans.

II. Keynote Speakers and Panelists

1. Dorsa Sadigh – Stanford University – USA
2. Oya Celiktutan – King's College London – UK
3. Sean Andrist – Microsoft – USA
4. Stefan Wermter – University of Hamburg – Germany

III. Submission

1. For paper submission, use the following EasyChair web link: Paper Submission.
2. Use the RO-MAN 2022 format: RO-MAN Papers Templates.
3. Submitted papers should be 4-6 pages for regular papers and 2 pages for position papers.

    The primary list of topics covers the following points (but not limited to):

• Autonomous robot behavior adaptation
• Interactive learning approaches for HRI
• Continual learning
• Meta-learning
• Transfer learning
• Learning for multi-agent systems
• User adaptation of interactive learning approaches
• Architectures, frameworks, and tools for learning in HRI
• Metrics and evaluation criteria for learning systems in HRI
• Legal and ethical considerations for real-word deployment of learning approaches

IV. Important Dates

1. Paper submission: June 17, 2021 July 1, 2022 (AoE)
2. Notification of acceptance: August 1, 2022 (AoE)
3. Camera ready: August 14, 2022 (AoE)
4. Workshop: August 22, 2022

V. Organizers

1. Oliver Roesler – IVAI – Germany
2. Elahe Bagheri – IVAI – Germany
3. Amir Aly – University of Plymouth – UK