Friday, March 10, 2023

[DMANET] [CFP] The Data EConomy (DEC) Workshop 2023 - Deadline Extended

[Apologies if you receive multiple copies of this mail]

*The Data EConomy (DEC) Workshop 2023**
**in conjunction with SIGMOD 2023**
**Seattle, June 18, 2023*


* *Nikolaos Laoutaris*, IMDEA Networks Institute
* *Georgia Koutrika*, Athena Research Center

/Data-driven decision making powered by Machine Learning (ML) algorithms
is changing how the society and the economy work and is having a
profound positive impact on our daily life. With the exception of very
large companies that have both the data and the skills to develop
powerful ML-driven services, the large majority of provably possible ML
services, from e-health, to transportation and predictive maintenance,
to name just a few, still remain at the idea or prototype level for the
simple reason that data, the skills to manipulate them, and the business
models to bring them to market, seldom co-exist under the same roof. The
value of data comes from its contextualisation and combination with
other data. Indeed, this can give way to many new services and products.
Furthermore, data has to somehow meet with the ML and business skills
that can unleash its full power for the society and economy. This has
given rise to a highly dynamic sector around the Data Economy, involving
Data Providers/Controllers, data Intermediaries, often-times in the form
of Data Marketplaces or Personal Information Management Systems for
end-users to control and even monetise their personal data. Despite its
huge potential and observed initial growth, the Data Economy is still at
its nascent phase and, therefore, faces a yet uncertain future and a
series of existential challenges. Such challenges include a broad range
of technical matters across multiple disciplines of Computer Science
including databases, machine learning, distributed systems, security and
privacy, and human computer interaction. /


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
* Measurement studies related to the data economy
* Large-scale experiments and validation studies for the data economy

We solicit papers up to 6 pages long, and demonstrations (up to 4 pages
long). Submissions will include author names, hence allowing
single-anonymous reviewing.


* *Paper Submission:* March 20, 2023
* *Notification of Acceptance: *April 20, 2023
* *Camera-ready Submission: *April 30, 2023
* *Workshop Date: *June 18, 2023 (Sunday)
* *Workshop format: *full-day

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