About the Conference

Since 2015, the LOD Conference brings academics, researchers and industrial researchers together in a unique multidisciplinary community to discuss and present the state of the art and the latest advances in the integration of machine learning, optimization and data science to provide the scientific and technological foundations for interpretableexplainable and trustworthy AI. Since 2017, LOD adopted  the Asilomar AI Principles.

The 6th Annual Conference on machine Learning, Optimization and Data science (LOD) is a international conference on machine learning, computational optimization and big data  that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.

LOD has established itself as a premier multidisciplinary conference in machine learning, computational optimization and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences.

We invite submissions of papers, abstracts, posters and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference proceedings – Springer – Nature Lecture Notes in Computer Science (LNCS).

The LOD Conference Manifesto

“The problem of understanding intelligence is said to be the greatest problem in science today and “the” problem for this century — as deciphering the genetic code was for the second half of the last one.
Arguably, the problem of learning represents a gateway to understanding intelligence in brains and machines, to discovering how the human brain works, and to making intelligent machines that learn from experience and improve their competences as children do.
In engineering, learning techniques would make it possible to develop software that can be quickly customized to deal with the increasing amount of information and the flood of data around us.”

The Mathematics of Learning: Dealing with Data
Tomaso Poggio (MOD 2015 & LOD 2020 Keynote Speaker)
Steve Smale


Artificial Intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the Asilomar AI principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead.

The Asilomar AI Principles

The Asilomar AI principles have been adopted by the LOD Conference since their initial formulation, 3-5 January 2017. Since then they have been an integral part of the Manifesto of LOD Community (LOD 2017).


Papers submission

All papers must be submitted using  EasyChair.   https://easychair.org/conferences/?conf=lod2020

Submission deadline: June 4 (extended) – Anywhere on Earth. 

Any questions regarding the submission process can be sent to conference organizers: lod@icas.cc

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  • Special Session Proposals: March 15. 
  • Special Session Notification: March 20. 
  • Paper Submission Deadline: June 4 (extended) – Anywhere on Earth. 
  • Reviews Released to Authors: by June 15. 
  • Rebuttal Due: by June 22.
  • Decision Notification to Authors: by June 25.
  • Camera Ready Submission Deadline: by June 30. 
  • Late-Breaking Paper Submission Deadline: June 30.
  • Early Registration as Presenting Author: by July 10. 
  • Early Registration: by July 10. 
  • Late Registration: from July 11.
  • Accommodation Reservation at the Certosa di Pontignano: by July 10.
  • On-Site Registration: July 19-23.




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Keynote Speakers

(random order)

Tutorial Speakers

Vincenzo Sciacca
Almawave, Italy

General Chairs

Giorgio Jansen
University of Cambridge, UK
Emanuele La Malfa
University of Oxford, UK
Vincenzo Sciacca
Almawave, Italy
Renato Umeton
Department of Informatics, Dana-Farber Cancer Institute, Boston, MA, USA & MIT, Cambridge, MA, USA

Program Chairs

Giovanni Giuffrida
University of Catania, Italy
Neodata Group
Varun Ojha
University of Reading, UK
Panos Pardalos
University of Florida, USA

Special Sessions Chair

Gabriele La Malfa
University of Cambridge, UK

Tutorial Sessions Chair

Vincenzo Sciacca
Almawave, Italy

Publicity Chair

Stefano Mauceri
NCRA, University College Dublin, Ireland

Industrial Session Chairs

Ilaria Bordino
UniCredit R&D, Italy
Marco Firrincieli
UniCredit R&D, Italy
Fabio Fumarola
University of Bari, Italy
Francesco Gullo
UniCredit R&D, Italy
Vincenzo Sciacca
Almawave, Italy

Steering Committee

Giuseppe Nicosia
Panos Pardalos


+39-0577-1521104 – info@lacertosadipontignano.com
Pontignano — Siena — Tuscany — Italy
Certosa di Pontignano

Past Editions

Many international well-known experts in Machine Learning, Optimization and Big Data have joined LOD. Let’s review the history of LOD.

  • LOD 2019
    The Fifth International Conference on Machine Learning, Optimization and Big Data
    Certosa di Pontignano – Siena – Tuscany – Italy
  • LOD 2018
    The Fourth International Conference on Machine Learning, Optimization and Big Data
    Volterra – Tuscany – Italy
  • MOD 2017
    The Third International Conference on Machine Learning, Optimization and Big Data
    Volterra – Tuscany – Italy
  • MOD 2016
    The Second International Workshop on Machine learning, Optimization and big Data
    Volterra – Tuscany – Italy
  • MOD 2015
    International Workshop on Machine learning, Optimization and big Data
    Taormina – Sicily – Italy

LOD 2020 conference is organized as a non-profit event.