After numerous discussions, we have concluded that holding the event this year in hybrid form, both onsite and virtual (as was done for LOD 2020) as this is most beneficial for the LOD community rather than postponing the conference to 2022.
The organizing committee of LOD 2021 has decided to run the conference on the originally scheduled dates (June 29 – July 2, 2021), and to run it as a hybrid conference:
The Wordsworth Hotel & SPA in Grasmere – Lake District England (our conference venue) has enough space to obey the safety rules (put in place due to COVID-19). To accommodate a large number of participants, we are offering the option for either physical presence (onsite) or virtual participation (online). We would be delighted if all authors and participants manage to attend; however, we are aware that in the current special circumstances, it is best to hold the event in hybrid mode.
The Conference, will be held in person with virtual rooms for authors and participants using a remote connection (Zoom). The lectures (e.g., live presentations or recorded ones) will also be made available online. We will make sure that the sessions also run live, such that the presenters can show and explain their results, and the attendees can ask questions and interact with the presenters. The sessions will be held one at a time which will allow participants from overseas to attend as many sessions as possible.
The keynote lectures will be recorded such that online participants can follow them either live or at any time they like to.
In order to respect the social distancing, only 40 onsite registrations will be available. All other participants will be able to use the online registration fees.
If the situation does not allow the event to take place in person, the event will instead be converted to a “fully online” mode.
See you (in-person or virtually – in 3D or in 2D 🙂 ) in the Lake District – England in June-July!
October 22, 2020
The LOD 2021 Organizing Committee
The 7th Annual Conference on machine Learning, Optimization and Data science (LOD) is an international conference on machine learning, computational optimization, big data and artificial intelligence. The conference includes invited talks, tutorials talks, specialised sessions, industrial tracks, demonstrations, oral and poster presentations of refereed papers.
The LOD has established itself as a premier interdisciplinary conference in machine learning, computational optimization, data science and AI. It provides an international forum for the presentation of original interdisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences.
We invite submissions of papers, abstracts, posters, talks and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference Post-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 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 the LOD Conferences (LOD 2017).
All papers must be submitted using EasyChair.
Paper Submission deadline: Monday January 25, 2021 (Anywhere on Earth)
Any questions regarding the submission process can be sent to conference organizers: lod@icas.cc.
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Newsletter
Deadlines
- Special Session Proposals: Monday December 14, 2020
- Special Session Notification: Monday December 28, 2020
- Paper Submission Deadline: Monday January 25, 2021 (Anywhere on Earth)
- Abstract/Poster/Demo Submission Deadline: Monday February 22, 2021 (Anywhere on Earth)
- Late-Breaking Paper Submission Deadline: Monday March 22, 2021 (Anywhere on Earth)
- Reviews Released to Authors: by Monday March 29, 2021
- Rebuttal Due: by Monday April 12, 2021
- Decision Notification to Authors: by Monday April 26, 2021
- Camera Ready Submission Deadline: by Monday May 10, 2021
- Early Registration as Presenting Author: by Monday May 10, 2021
- Early Registration: by Monday May 10, 2021
- Late Registration: from Tuesday May 11, 2021
- Accommodation Reservation at the Wordsworth Hotel & SPA – Grasmere – England: by Monday May 10, 2021
- Conference: June 29 – July 2, 2021
Recent News
- Nov 23, 2020 — CfP: Special Session on “Data Science for Sustainable Cities”
- Nov 23, 2020 — Special Session on “Data Science for Sustainable Cities”
- Nov 23, 2020 — The 7 Special Sessions on Machine Learning
- Nov 23, 2020 — The 7 Special Sessions on Data Science and Artificial Intelligence
- Nov 23, 2020 — Special Session on “Multi-Objective Optimization”
- Nov 23, 2020 — Special Session on “AI to help to fight Climate Change”
- Nov 23, 2020 — Special Session on “AI for Sustainability”
- Nov 3, 2020 — LOD, MUST-ATTEND MACHINE LEARNING CONFERENCE 🙂
- Oct 22, 2020 — LOD 2021 (as LOD 2020): an Online & Onsite Conference!
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Tutorial Sessions Chair
Publicity Chair
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Steering Committee
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 2020
The Sixth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy.
Nature Springer – LNCS volumes 12565 and 12566. - LOD 2019
The Fifth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy.
Nature Springer – LNCS volume 11943. - LOD 2018
The Fourth International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy.
Nature Springer – LNCS volume 11331. - MOD 2017
The Third International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy.
Springer – LNCS volume 10710. - MOD 2016
The Second International Workshop on Machine learning, Optimization and big Data
Volterra – Tuscany – Italy.
Springer – LNCS volume 10122. - MOD 2015
International Workshop on Machine learning, Optimization and big Data
Taormina – Sicily – Italy.
Springer – LNCS volume 9432.