Internet Economics and Monetization

The Web has become a major economic phenomenon, serving both as a new platform for traditional transactions such as business-to-business and business-to-consumer commerce, as well as an arena for a variety of new economic activities such as online advertising, cloud computing, e-commerce, bandwidth provisioning, peer-to-peer lending, and crowdsourcing.

The WWW track on Internet Economics and Monetization is a forum for theoretical and applied research related to the modeling, analysis, and design of web-specific economic activities, incentive systems, etc. The track will be interdisciplinary in nature, welcoming both theoretical and empirical research related to economic aspects of the Web, as well as economic platforms supported by the Web.

Relevant topics include (but are not limited to) economic models, machine learning and data mining methods, HCI approaches, and systems related to online commerce and monetization of Internet applications, such as:

  • Online advertising
  • Monetization on social networks
  • Online forums, online reviews/ratings, and other user-generated content
  • Reputation systems
  • E-commerce
  • Internet-enabled auctions, marketplaces, and exchanges
  • Revenue management and pricing for digital goods
  • Economic aspects of crowdsourcing / human computation
  • Cloud computing
  • Web and mobile app ecosystems
  • The sharing economy

For questions related to this call, please email:

Area Chairs

  • Ramesh Johari, Stanford University
  • Tie-Yan Liu, Microsoft Research Asia

Program Committee

  • Shipra Agrawal, Microsoft Research
  • Eytan Bakshy, Facebook
  • Liad Blumrosen, Hebrew University
  • Pranav Dandekar, Stanford
  • Xiaotie Deng, Shanghai Jiaotong University
  • Arpita Ghosh, Cornell
  • Gagan Goel, Google Research
  • Paul Goldberg, Oxford
  • Ralf Herbrich, Amazon
  • Nicole Immorlica, Microsoft Research
  • Krishnamurthy Iyer, Cornell
  • Kamal Jain, eBay Research
  • Radu Jurca, Google
  • Peter Key, Microsoft Research
  • Scott Kominers, Harvard
  • Vahab Mirrokni, Google
  • Markus Mobius, Microsoft Research
  • Hamid Nazerzadeh, USC
  • David Pennock, Microsoft Research
  • R. Preston McAfee, Microsoft
  • Tao Qin, Microsoft Research
  • Dou Shen, Baidu
  • Richard Steinberg, London School of Economics
  • Mukund Sundararajan, Stanford University
  • Neel Sundaresan, eBay Research
  • Steve Tadelis, Berkeley
  • Sergei Vassilvitskii, Google Research
  • Gabriel Weintraub, Columbia Business School