[visionlist] 1st CfP: The 8th Int. Online & Onsite Conf. on Machine Learning, Optimization & Data Science - LOD 2022, September 19-22, Certosa di Pontignano, Tuscany - Italy - Paper Submission Deadline: March 23

Mon Jan 10 09:13:12 -04 2022

Dear Colleague,

Apologies if you receive multiple copies of this announcement.
Please kindly help forward it to potentially interested authors/attendees,
thanks!

--

The 8th International Online & Onsite Conference on
Machine Learning, Optimization, and Data Science – #LOD2022 - September
19-22, Certosa di Pontignano, #Tuscany - Italy

LOD 2022, An Interdisciplinary Conference: #MachineLearning, #Optimization,
#BigData & #ArtificialIntelligence, #DeepLearning without Borders

https://lod2022.icas.cc

lod at icas.cc

PAPERS SUBMISSION: March 23 (Anywhere on Earth)
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=lod2022

PAPER FORMAT:
Please prepare your paper in English using the Springer Nature – Lecture
Notes in Computer Science (LNCS) template, which is available here. Papers
must be submitted in PDF.

TYPES OF SUBMISSIONS:
When submitting a paper to LOD 2022, authors are required to select one of
the following four types of papers:

* long paper: original novel and unpublished work (max. 15 pages in
Springer LNCS format);

* short paper: an extended abstract of novel work (max. 5 pages);

* work for oral presentation only (no page restriction; any format). For
example, work already published elsewhere, which is relevant, and which may
solicit fruitful discussion at the conference;

* abstract for poster presentation only (max 2 pages; any format). The
poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide,
respectively 46.8 x 33.1 inch). For research work which is relevant, and
which may solicit fruitful discussion at the conference.

Each paper submitted will be rigorously evaluated. The evaluation will
ensure the high interest and expertise of reviewers. Following the
tradition of LOD, we expect high-quality papers in terms of their
scientific contribution, rigor, correctness, novelty, clarity, quality of
presentation and reproducibility of experiments.
Accepted papers must contain significant novel results. Results can be
either theoretical or empirical. Results will be judged on the degree to
which they have been objectively established and/or their potential for
scientific and technological impact.

It is also possible to present the talk virtually (Zoom).

LOD 2021 KEYNOTE SPEAKER(S):
* Pierre Baldi, University of California Irvine, USA

ACAIN 2021 KEYNOTE SPEAKERS:

* Karl Friston, University College London, UK & Wellcome Trust Centre for
Neuroimaging

* Wulfram Gerstner, EPFL, Switzerland

* Max Erik Tegmark, MIT, USA & Future of Life Institute

https://acain2022.artificial-intelligence-sas.org/course-lecturers/

More Tutorial Speakers Coming soon!

PAST LOD KEYNOTE SPEAKERS:
https://lod2022.icas.cc/past-keynote-speakers/

Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms
(MILA) & University of Montreal, Canada
Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum
Institute for the Networked Society, Germany
Jörg Bornschein, DeepMind, London, UK
Michael Bronstein, Imperial College London, UK
Nello Cristianini, University of Bristol, UK
Peter Flach, University of Bristol, UK, and EiC of the Machine Learning
Journal
Marco Gori, University of Siena, Italy
Arthur Gretton, UCL, UK
Arthur Guez, Google DeepMind, Montreal, UK
Yi-Ke Guo, Imperial College London, UK
George Karypis, University of Minnesota, USA
Vipin Kumar, University of Minnesota, USA
Marta Kwiatkowska, University of Oxford, UK
George Michailidis, University of Florida, USA
Kaisa Miettinen, University of Jyväskylä, Finland
Stephen Muggleton, Imperial College London, UK
Panos Pardalos, University of Florida, USA
Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for
Intelligent Systems, Germany
Tomaso Poggio, MIT, USA
Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia
Mauricio G. C. Resende, Amazon.com Research and University of Washington
Seattle, Washington, USA
Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at
Apple
Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa
Richard E. Turner, Department of Engineering, University of Cambridge, UK
Ruth Urner, York University, Toronto, Canada
Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for
Intelligent Systems, Tübingen, Germany

TRACKS & SPECIAL SESSIONS:
https://lod2022.icas.cc/special-sessions/

*) Special Session on AI for Sustainability
We welcome  contributions on AI for Sustainable Development, AI for
Sustainable Urban Mobility, AI for Food Security, AI to fight
Deforestation, cutting-edge technology AI to create Inclusive and
Sustainable development that leaves no one behind.

*) Special Session on AI to help to fight Climate Change
AI is a new tool to help us better manage the impacts of climate change and
protect the planet. AI can be a “game-changer” for climate change and
environmental issues.

AI refers to computer systems that “can sense their environment, think,
learn, and act in response to what they sense and their programmed
objectives,”

World Economic Forum report, Harnessing Artificial Intelligence for the
Earth.

We accept papers/short papers/talks at the intersection of climate change,
AI, machine learning and data science. AI, Machine Learning and Data
Science  can be invaluable tools both in reducing greenhouse gas emissions
and in helping society adapt to the effects of climate change.

We invite submissions  using AI, Machine Learning and/or Data Science to
address problems in climate mitigation/adaptation including but not limited
to the following topics:

* Industrial Session
Chair: Giovanni Giuffrida – Neodata.

* Special Session on Explainable Artificial Intelligence
Explainability is essential for users to effectively understand, trust, and
manage powerful artificial intelligence applications.

BEST PAPER AWARD:
Springer sponsors the LOD 2022 Best Paper Award
https://lod2022.icas.cc/best-paper-award/

PROGRAM COMMITTEE:
https://lod2022.icas.cc/program-committee/

VENUE:
https://lod2022.icas.cc/venue/

The venue of LOD 2022 will be The Certosa di Pontignano — Siena

The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany –
Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info at lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
Contact person: Dr. Lorenzo Pasquinuzzi

You need to book your accommodation at the venue and pay the amount for
accommodation, meals directly to the Certosa di Pontignano.

ACTIVITIES:
https://lod2022.icas.cc/activities/

POSTER:
https://lod2022.icas.cc/wp-content/uploads/sites/20/2021/12/poster-LOD-2022-1.png

Submit your research work today!

https://easychair.org/conferences/?conf=lod2022

See you in the beautiful Tuscany in September!

Best regards,
  LOD 2022 Organizing Committee

LOD 2022 NEWS:
https://lod2022.icas.cc/category/news/

Past Editions
https://lod2022.icas.cc/past-editions/

LOD 2021, The Seventh International Conference on Machine Learning,
Optimization and Big Data
Grasmere – Lake District – England, UK. Nature Springer – LNCS volumes
13163  and 13164.
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.

https://www.facebook.com/groups/2236577489686309/

https://twitter.com/TaoSciences

https://www.linkedin.com/groups/12092025/

lod at icas.cc

https://lod2022.icas.cc

* Apologies for multiple copies. Please forward to anybody who might be
interested *

https://acdl2022.icas.cc

https://lod2022.icas.cc

https://acain2022.artificial-intelligence-sas.org

*5th Advanced Course on Data Science & Machine Learning - ACDL2022*
22-26 August, Certosa di Pontignano (Siena) Tuscany, Italy
An Interdisciplinary Course: Big Data, Deep Learning & Artificial
intelligence without Borders
Early Registration: by February 23
W:  https://acdl2022.icas.cc
E:   acdl at icas.cc
FB: https://www.facebook.com/groups/204310640474650/
T:    https://twitter.com/TaoSciences
The Course is equivalent to 8 ECTS points for the PhD Students and the
Master Students attending the Course.

*8th International Conference on machine Learning, Optimization & Data
science – LOD 2022*, September 19 - 22,
Certosa di Pontignano (Siena) Tuscany, Italy
Paper Submission Deadline: March 23
https://lod2022.icas.cc
lod at icas.cc
https://easychair.org/conferences/?conf=lod2022

ACAIN 2022, the *2nd International Advanced Course & Symposium on
Artificial Intelligence & Neuroscience*, September 19 - 22, 2022,
Certosa di Pontignano (Siena) Tuscany, Italy
Early Registration (Course): by March 23
W:  https://acain2022.artificial-intelligence-sas.org
E:   acain at icas.cc
EC: https://easychair.org/conferences/?conf=acain2022
FB:
https://www.facebook.com/ACAIN-Int-Advanced-Course-Symposium-on-AI-Neuroscience-100503321621692/
The Course is equivalent to 8 ECTS points for the PhD Students and the
Master Students attending the Course.
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