WINE: Workshop on Internet and Network Economics

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2024 or later

 
 

All CFPs on WikiCFP

Event When Where Deadline
WINE 2023 Workshop on Internet and Network Economics
Dec 4, 2023 - Dec 8, 2023 Shanghai Jul 7, 2023
WINE 2022 Conference on Web and Internet Economics
Dec 12, 2022 - Dec 16, 2022 Troy, NY, USA Jul 7, 2022
WINE 2014 The 10th Conference on Web and Internet Economics
Dec 14, 2014 - Dec 17, 2014 Beijing, China Jul 25, 2014
WINE 2009 The fifth Workshop on Internet and Network Economics
Dec 14, 2009 - Dec 18, 2009 Rome, Italy Jul 15, 2009
 
 

Present CFP : 2023

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 Internet, enabling the interaction of large and diverse populations. The Conference on Web and Internet Economics (WINE) is an interdisciplinary forum for exchanging ideas and results on incentives and computation arising from these various fields. WINE 2023 continues the successful tradition of the Conference on Web and Internet Economics (named Workshop on Internet & Network Economics until 2013), held annually from 2005 to the present.

WINE 2023 is planned as an in-person event from December 4 through December 8, 2023, hosted by ShanghaiTech University.

The program will feature invited talks, tutorials, and paper presentations. All paper submissions will be peer-reviewed and evaluated based on the quality of their contribution, originality, soundness, and significance. Submissions are invited in, but not limited to, the following topics:

· Auctions and pricing
· Behavioral economics and behavioral modeling
· Blockchains and their applications
· Contract design
· Computational advertising
· Computational aspects of equilibria
· Computational social choice
· Coalitions, coordination, and collective action
· Decision theory
· Econometrics, ML, and Data Science
· Fair division
· Information design
· Learning in games and markets
· Market design
· Matching markets
· Mechanism design
· Online platforms and applications
· Privacy, fairness, and security
· Revenue Management
· Social networks and network games
 

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