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Scope and aim

Food systems have become very complex as they embrace a range of actors and their interlinked value-adding activities related not only to food, but also to human and animal health and ecology, as well as to economy, science and innovation. Formalization of concepts describing food systems being integrated in such a wide ecosystem requires deep understanding of their building blocks and linkages among them, which can be achieved by the exploration and exploitation of big data carrying valuable information. Recent advances in the collection, normalization, linkage, analysis and visualization of big data on food, nutrition and environment have enabled structuring of related knowledge, which opens novel decision-making possibilities. In particular, this has proven to be important during the recent pandemics of COVID-19 and other catastrophic situations, when food provision and security are threatened.

The BFNDMA workshop has established a global forum for discovering, discussing and communicating fresh ideas, advanced methodologies and data-driven solutions for dealing with big data related to food, nutrition, and environment. Its main aim is to enable better understanding and improvement of food systems as required by both society and environment. The BFNDMA 2022 is a continuation of the successful workshops BFNDMA 2019 organized at IEEE Big Data 2019 in Los Angeles, California, USA and BFNDMA 2020 organized at IEEE Big Data 2020 (virtual event).

The focus of BFNDMA is on methodologies for big data management and analysis of structured and unstructured food, nutrition and environmental data, as well as their synergies and trade-offs. BFNDMA 2022 will consider original and unpublished research articles that propose bold steps towards addressing the challenges of data management and analysis for food, nutrition and environmental data, with strong emphasis on exploring relations between food systems, human health and environment.

Topics of Interest related to Food and Nutrition

  • Information retrieval, information extraction, natural language processing techniques and artificial intelligence for food,nutrition and environmental sciences;
  • Food and nutrition data normalization;
  • Knowledge representation for food and nutrition;
  • Ontologies, vocabularies and ontology design patterns, with a focus on describing the modelling process for food,nutrition and environmental sciences;
  • Crowdsourcing task designs that have been used and can be (re)used for building resources such as gold standards for food, nutrition environmental data;
  • Predictive and descriptive modeling of food systems, including food production and demand-supply chains;
  • Modeling life on land and underlying ecological and biophysical phenomena from satellite images;
  • COVID-19 impact on food, nutrition, and environment, with regard to their security, diversity, safety and provision.

Invited Speakers

We are working on having sound invited talks. Stay tuned!


Please submit a full-length paper (up to 10 page IEEE 2-column format), or short or position paper (2-4 page IEEE 2-column format), through the online system.
Papers should be formatted following the IEEE Computer Society Proceedings Manuscript Formatting Guidelines, as instructed by the conference organizers.

Manuscript templates
Microsoft Word
LaTex Formatting Macros

NOTE: In order to participate to this workshop, full or student registration of IEEE BigData 2022 is required for at least one of the authors.

Important dates

  • Paper submission: Oct 1, 2022
  • Decision notification: Nov 1, 2022
  • Camera-ready submission: Nov 20, 2022
  • BFNDMA 2022 Workshop: Dec 17-20, 2022


Prof. Barbara Koroušić Seljak, PhD

Computer Systems Department,

Jožef Stefan Institute, Ljubljana, Slovenia

Asst. Prof. Tome Eftimov, PhD

Computer Systems Department,

Jožef Stefan Institute, Ljubljana, Slovenia

Sarah Berry, PhD

King’s College London, UK

Gjorgjina Cenikj

Computer Systems Department,

Jožef Stefan Institute, Ljubljana, Slovenia

Gordana Ispirova

Computer Systems Department,

Jožef Stefan Institute, Ljubljana, Slovenia

Vladimir Kuzmanovski, PhD

Department of Computer Sciences,

Aalto University, Espoo, Finland

Giulia Menichetti, PhD

Center for Complex Networks Research (CCNR), Northeastern University, USA

Brigham and Women’s Hospital, Harvard Medical School, USA

Ana Nikolikj

Computer Systems Department,

Jožef Stefan Institute, Ljubljana, Slovenia

Eva Valenčič

School of Health Sciences, College of Health, Medicine and Wellbeing,

University of Newcastle, NSW, Australia

Jildau Bouwman, TNO, NL
Duccio Cavalieri, University of Florence, IT
Damion Dooley, Ontology Development Lead at Centre for Infectious Disease Genomics and One Health, Simon Fraser University, Canada
Laurette Dubé, McGill University, Montreal, Quebec, Canada
Fabio Mainardi, Nestle Institute of Health Science S.A, Lausanne, CH
Bibek Paudel, Center for Population Health Sciences, Stanford University, CA, USA
Petar Ristoski, IBM Research, CA, USA
Maria Traka, Quadram Institute Bioscience, UK