Call For Papers
Workshop GOAL
Data is no longer viewed as an inept byproduct of (business) processes, but rather as a valuable resource that can be traded, processed and used in different contexts and applications. We are witnessing an unprecedented increase in both the amount of data being collected, as well as the development of infrastructure necessary to process and share the vast amounts of collected data in new contexts. In the wake of these trends, the Data Economy workshop aims at bringing together researchers and practitioners in this area, to clarify impactful research problems, describe solutions and ideas to the arising data management issues (and beyond) and novel data applications, share findings from real-world data markets and PIMs, and generate new ideas for future lines of research. We are aiming at promoting cross-pollination of ideas between academic research centers and industry.
Relevant communities and initiatives:
The MyData community: https://2022.mydata.org/
Gaia-X: https://www.data-infrastructure.eu/GAIAX/Navigation/EN/Home/home.html
The EU Data Act: https://ec.europa.eu/commission/presscorner/detail/en/ip_22_1113
All the above initiatives are either industrial (Gaia-X, IDSA), citizen-driven (MyData), or government-driven (Data Act). The Data Economy workshop will be the academic/research/scientific go-to venue for all these communities and initiatives
The mission of the Data Economy workshop will be to bring together all the CS skills required for helping the Data Economy liftoff by addressing a range of technical challenges including, but are not limited, to the ones below:
Design, architecture, systems and protocols for Data Marketplaces, Data Vendors, and Personal Information Management Systems (PIMS)
Consent management and taxonomy of data processing purposes
Sending the data to the algorithm vs. sending the algorithm to the data
Federated and distributed learning in the data economy
Data management and querying in Data Marketplaces
Secure data exchange and delivery mechanisms
Federated data catalogues and data discovery mechanisms
Heterogeneous and federated DBMS, metadata management
Information Integration and Data Quality
Privacy/data protection and the data economy
Data pricing mechanisms for individual and aggregated data
How to buy data – data purchase policies and algorithms
Protecting data ownership rights for commercial datasets
NFTs, blockchains, smart contracts and their role in the data economy
Trusted execution, cloud computing, distributed storage and their role in the data economy
Data representation and exchange standards in the data economy
Understanding the value of data in different applications and domains and across the data value chain
Cryptographic approaches, including FHE, SMPC, DP, and their role and limits in the data economy
UX and HCI challenges for data marketplaces and PIMS
Understanding and decoding the Terms & Conditions of data marketplaces and data transactions
Federation and interoperability standards and protocols in the data economy
Measurement studies related to the data economy
Large-scale experiments and validation studies for the data economy
Submission Format
The paper accepted in the Data Economy Workshop will appear in the ACM Digital Library.
We solicit papers up to 6 pages long, and demonstrations (up to 4 pages long).
Research papers must follow the 2-column ACM Proceedings Format, using either the sample-sigconf.tex or Interim layout.docx template provided at https://www.acm.org/publications/proceedings-template for LaTeX (version 2e) or Word, respectively. If you plan to use ACM's official Overleaf template, please use the 2-column template available at https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty. The margins, inter-column spacing, and line spacing in the templates must be kept unchanged. Any submitted paper violating the length, file type, or formatting requirements will be rejected without review.
Submissions should be uploaded at: https://acm-data-economy23.hotcrp.com/
Conflict and Authorship
To minimize biases in the evaluation process, authors should flag conflicts with reviewers. X and Y have a conflict of interest if any of the following applies:
X and Y have worked in the same university or company in the past two years, or will be doing so in the next six months on account of an accepted job offer. Different campuses within the same university system do not count as the same university for this purpose - UC Berkeley does not have a conflict with UC Santa Barbara.
X has been a co-author of a paper with Y in the last 3 years, or of 4 (or more) papers in the last 10 years.
X has been a collaborator within the past two years, as evidenced in a joint publication (subsumed by the stricter rule on co-authorship above), joint research project, or jointly organized event, or are collaborating now.
X is the PhD thesis advisor of Y or vice versa, irrespective of how long ago this was.
X is a relative or close personal friend of Y.
It is the full responsibility of all authors of a paper to identify and declare all COIs.
Important Dates
Submission Deadline: March 5, 2023, March 20, 2023
Notification: April 20, 2023
Camera Ready: May 5, 2023
Workshop Date: June 18, 2023 (Sunday)