1st International Workshop on Distributed Infrastructure for Common Good

7-11 December 2020, Delft, The Netherlands

Colocated with Middleware 2020

The DICG20 workshop is co-located with ACM/IFIP Middleware 2020, which takes place on December 7-11 in Delft, the Netherlands (or online).

This workshop is focussed on distributed infrastructures that enable human interactions and economic activity in general with a focus on the common good. Daily life is transitioning to digital infrastructures, including friendships, education, employment, health-care, finances, family connections, and more. These infrastructures can contribute to the common good enabling us to work together to improve the wellbeing of people in our society and the wider world.

Call for Papers

Private ownership of infrastructures does not seem to solve the traditional problems of Tragedy of Commons: pollution (spam and bot network on social media), over-exhaustion of resources (net neutrality), and fairness (gig economy). Privatization of digital commons also introduces the potential for monopolistic abuse, such as: stifled innovation, price discriminations, and distorted market knowledge discovery. We aim to explore within this workshop viable alternatives to 'winner-takes-all' platform ecosystems. Failure of market mechanisms to address these issues suggest that such infrastructures could be treated as commons. We recognize the promising avenue of research build on Nobel laureate Ostroms idea that commons is the third way to organize complex human cooperation, beyond capitalist regulation or governmental regulations.

Scientific challenges include, but are not limited to: the Tragedy of the Commons in such shared-resource systems, fake identities with Sybil attacks, robot economy, trustworthiness in general, self-organizing machine learning, market infrastructures in cashless society, and governance issues in decentralized systems.

This workshop focuses on the tools, frameworks, and algorithms to support the common good in a distributed environment. Both theoretical work and experimental approaches are welcomed. Reproducibility, open source and public datasets are endorsed. Each submission must clearly contribute to the middleware community, to facilitate the development of applications by providing higher-level abstractions for better programmability, performance, scalability, and security.

Scope:

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

  • Distributed algorithms
  • Trust and reputation systems
  • Fault-tolerance
  • Gossip-based learning and behavioral models
  • Self-sovereign identity
  • Peer-to-peer networks
  • Game-theoretic approaches to tragedy of commons
  • Markets, mechanism design, and incentives
  • Computational social choice
  • Incentives for participants
  • Fairness in market systems
  • Decentralized governance
Important Dates:

  • Paper submissions: September 21, 2020 (AOE)
  • Notification of acceptance: October 5, 2020 (AOE)
  • Camera ready version: October 15, 2020

Submission Guidelines:

Full papers can have a maximum length of 6 pages in the standard, 10pt ACM SIGPLAN format. The page limits include figures, tables, and references. All submitted papers will be judged through double-blind reviewing. Submissions will be handled through HotCRP. (Submission link will be provided.)

Publication of Accepted Papers:

All accepted papers will appear in a Middleware 2020 companion proceedings, which will be available in the ACM Digital Library prior to the workshop. At least one of the authors will have to register for the workshop and present the paper.

Organization

General Co-chairs:

Local Chairs:

  • Can Umut Ileri (TU Delft, The Netherlands)
  • Georgy Ishmaev (TU Delft, The Netherlands)

Program Committee:

  • Ozalp Babaoglu (University of Bologna, Italy)
  • Anwitaman Datta (Nanyang TU, Singapore)
  • Kapal Dev (Trinity College Dublin, Ireland)
  • Nigel Gilbert (University of Surrey, UK)
  • Davide Grossi (University of Groningen, The Netherlands)
  • Seif Haridi (KTH Royal Institute of Technology, Sweden)
  • Márk Jelasity (University of Szeged, Hungary)
  • Anne-Marie Kermarrec (EPFL, Switzerland)
  • Martin Kleppmann (University of Cambridge, UK)
  • Róbert Ormándi (Google Brain, USA)
  • Oznur Ozkasap (Koc University, Turkey)
  • Erik Poll (Radboud University, The Netherlands)