About the Workshop

Ethics and the Digital Transformation process

Awareness in Data Management and Information Systems

Digital transformation comes with ethical concerns about how flexible information systems can be used and misused, posing new challenges for researchers and practitioners across the whole spectrum of Information Systems Engineering.

Similarly, ethics-related aspects are becoming prominent in the data management community, where traditional processes for searching, querying, or analyzing data hardly pay any specific attention to the social problems their outcomes could bring about. These demands are broadly reflected into codes of ethics and in legally binding regulations.

The 3rd International Workshop on “Processing Information Ethically: a plus for data Quality” (PIE+Q) will acknowledge the need for the design of responsible Information Systems with a Data Quality perspective. PIE+Q 2021 will encourage papers on the conceptual and technological approaches for dealing with ethical issues in data quality and of all data management activities, including source selection, knowledge extraction, data integration and analysis.

Topics

We encourage multidisciplinary submissions on, but not limited to:

  • provenance and privacy
  • algorithmic fairness
  • nondiscriminatory knowledge extraction
  • algorithmic transparency
  • eXplainable AI
  • bias in machine learning
  • results interpretability
  • ethical result personalization
  • diversity-aware influence propagation
  • automated fact-checking
  • responsible data management
  • data quality concepts, metrics, and models
  • data governance
  • data cleaning
  • master data management
  • entity resolution
  • social-minded measures of data quality

Submissions

Submissions will go through a single-blind review process, and evaluated on the basis of originality, relevance, quality, and technical contribution.

Regular papers presenting original work are solicited. Moreover, we also welcome short papers containing description of results already published, or visionary discussion of new directions of research.

Authors can submit regular papers (up to 9 pages in length) and short papers (up to 6 pages), written in English. Papers must be submitted via Easychair, in PDF according to the EDBT Proceedings Format.

EasyChair Submission Site

All accepted works will be published online at CEUR. After acceptance, authors are required to re-submit the final PDF. No different format is allowed. All accepted papers are expected to be presented at the workshop, and at least one author is required to register. A selection of best papers presented at PIE+Q will be invited to a special issue of the ACM Journal of Data and Information Quality.

Important Dates

Paper Submissions

20 December 2020 28 December 2020

Notification of Acceptance

21 January 2021 28 January 2021

Camera Ready

31 January 2021 8 February 2021

Program Chairs & Organizers

Riccardo Torlone

General chair

Roma Tre University

torlone@dia.uniroma3.it

Letizia Tanca

PC co-chair

Politecnico di Milano

letizia.tanca@polimi.it

Donatella Firmani

PC co-chair

Roma Tre University

donatella.firmani@uniroma3.it

Elena Nieddu

Proceedings chair

Roma Tre University

elena.nieddu@uniroma3.it

Program Committee

  • Matteo Lissandrini (Aalborg University)
  • Tommaso Teofili (Adobe Systems)
  • Davide Martinenghi (Politecnico di Milano)
  • Elisa Quintarelli (Università di Verona)
  • H. V. Jagadish (University of Michigan)
  • Rajesh Bordawekar (IBM)
  • Ernest Teniente (Universitat Politècnica de Catalunya)
  • John Puentes (IMT Atlantique)

Invited Speakers

Paolo Papotti

&

H. V. Jagadish

Program

time title speaker | authors
14:00--14:10 Welcome
14:10--15:00 Data Challenges in Disinformation Diffusion Analysis (Invited Talk) Paolo Papotti
15:00--15:20 Data Wrangling for Fair Classification Lacramioara Mazilu, Nikolaos Konstantinou, Norman Paton and Alvaro A. A. Fernandes
15:20--15:40 The impact of rewriting on coverage constraint satisfaction Chiara Accinelli, Barbara Catania, Giovanna Guerrini and Simone Minisi
15:40--16:10 Coffe Break
16:10--17:00 The Many Facets of Data Equity (Invited Talk) H. V. Jagadish
17:00--17:20 NOAH: Creating Data Integration Pipelines over Continuously Extracted Web Data Valerio Cetorelli, Valter Crescenzi, Paolo Merialdo and Roger Voyat
17:20--17:40 FAIR-DB: FunctionAl DependencIes to discoveR Data Bias Fabio Azzalini, Chiara Criscuolo and Letizia Tanca
17:40--18:00 Farewell