1st Italian Conference on Big Data and Data Science (ITADATA 2022)

  • Quando dal 20/09/2022 09:00 al 21/09/2022 17:00 (Europe/Berlin / UTC200)
  • Dove Milan, Italy
  • Contatti
  • Sito web Visita il sito
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The Italian Conference on Big Data and Data Science (ITADATA2022) is the
new annual event supported by the CINI Big Data National Laboratory that
aims at putting together Italian researchers and professionals from
academia, industry and government working in the field of big data and
data science, as well as related fields (e.g., security and privacy,
HPC, Cloud). The conference will be structured into a main research
track on big data and data science and complemented with tutorials/demos
on specific solutions and prototypes developed by industries, research
centers and universities, and thematic workshops on specific verticals
of big data and data science. The conference will also feature two
selected distinguished keynote speeches and some panels.

ITADATA2022 aims to discuss and shape the future of Big Data and Data
Science in Italy and abroad, considering the multidisciplinary, complex,
heterogeneous, and data-centric environment in which modern distributed
systems are operating. The ability to timely manage and analyze large
amounts of data, and to guarantee low-latency access to the data
themselves increasingly become critical requirements and are at the
heart of modern business processes. In this context, data science, as
the foundation of today’s data-driven society, plays the role of
developing and defining all the technologies needed to support
construction of value on data in multidisciplinary areas at increasing
complexity. ITADATA2022 covers theoretical and practical research
pertaining to data, from data governance to data processing and
analysis. It also covers research in related domains where data and data
science technologies are key, such as cloud, edge and IoT, intelligent
and high performance computing, blockchain, security and privacy,
assurance and certification.

ITADATA2022 is honoured to announce two outstanding keynote speakers.

- Francesco Bonfiglio, CEO GAIA-X. With more than 30 years' experience
in the business of consulting and information technology, Francesco
brings his knowledge of the cloud and data market needs, and his vision
on how Gaia-X should revolutionize it. Independent Advisor since 2020,
he has spent his previous professional life as an executive in many
Italian and Multinational contexts. Formerly Chief Executive Officer for
ENGINEERING D.HUB (Hybrid Cloud and Digital Transformation company
within the largest Italian System Integrator Group), Vice President for
Technology Services at AVANADE and Managing Director within the
ACCENTURE Group, Chief Technology Officer for HEWLETT-PACKARD EMEA, SW
Factory Director at UNISYS, Technical Director and Methodology
Evangelist at RATIONAL SOFTWARE amongst his positions.

- Stefano Ceri, Full Professor, Politecnico di Milano. His main research
interests are extending data management and then acting as data
scientists in numerous domains - including social analytics, fake news
detection, genomics for biology and for precision medicine, and recently
studies concerning the SARS-CoV-2 viral genome. He is the recipient of
two ERC AdG, "Search Computing" (2008-2013) and "data-driven Genomic
Computing" (2016-2021). He received the ACM-SIGMOD "Edward T. Codd
Innovation Award" (June 2013). He is an ACM Fellow.

ITADATA2022 welcomes original papers from academia and industry
presenting novel research on all theoretical and practical aspects of
Big Data and data science including data governance, data processing,
data analysis, data reporting, data protection, as well as experimental
studies and lessons learned. ITADATA2022 also welcomes papers
specifically focusing on the new norm introduced by COVID-19 and its
impact on data science. Areas of interest include, but are not limited to:

- Big Data and Data Science Foundation
- Big Data Platforms and Infrastructures
- Big Data and Data Science Applications
- Big Data Governance
- Big Data Security and Privacy
- Big Data Assurance and Trustworthiness
- Ethics of Big Data
- Big Data and Data Science for Cybersecurity
- Big Data and Data Science for High Performance Computing
- Industrial Big Data and Data Science

Papers have to be submitted in pdf format, must be written in English
and be no longer than 12 pages including all contents and references.
All papers will be reviewed by at least 3 members of the program
committee and evaluated on the basis of their quality, originality,
relevance, and timeliness. Accepted paper shall be published in an
open-access volume of CEUR Workshop Proceedings (http://ceur-ws.org/).

- Claudio A. Ardagna, Universita' degli Studi di Milano, Italy
- Donato Malerba, Universita' degli Studi di Bari, Italy

- Marco Anisetti, Universita' degli Studi di Milano, Italy
- Angela Bonifati, Lyon 1 University, France

- Michelangelo Ceci, Universita' degli Studi di Bari, Italy
- Jean Christophe Pazzaglia, SAP, France
- Letizia Tanca, Politecnico di Milano, Italy

- Davide Dalle Carbonare, Engineering, Italy
- Alfio Ferrara, Universita' degli Studi di Milano, Italy

- Roberto Trasarti, CNR

- Nicola Bena, Universita' degli Studi di Milano, Italy

Azioni sul documento

pubblicato il 01/06/2022 ultima modifica 05/10/2022
Hanno contribuito: claudia.damato