Please see the updated ACDL 2021 Program: ACDL-2021-Program
The EU Digital COVID Certificate will facilitate safe free movement of citizens in the EU during the COVID-19 pandemic.
The certificate will be introduced in EU Member States. Countries can start issuing and using it already and it will become available in all EU Member States as of 1 July 2021.
What is the EU Digital COVID Certificate?
An EU Digital COVID Certificate is a digital proof that a person has either
|been vaccinated against COVID-19|
|received a negative test result or|
|recovered from COVID-19|
Covid-19, Information for travellers, please read the information in the following URL (the Official Web Site of the Italian Minister of Health):
Entry from the countries of the European Union and the Schengen Area, Great Britain and Israel
The Minister of Health, Roberto Speranza, has signed an ordinance allowing entry from the countries of the European Union and the Shengen Area, as well as from Great Britain and Israel, with a negative swab test, without compulsory quarantine. Travellers are still required to produce on arrival the certificate for a negative molecular or antigen swab test, taken in the 48 hours prior to arrival in Italy.
Useful numbers from the Ministry of Health
- From Italy: 1500 National information line
- From abroad: +39 0232008345 +39 0283905385
- Covid-19 Regional telephone information hotlines
Please read the information in the following URL (the Official Web Site of the Italian Minister of Health):
Last updated: 14 June 2021
We strongly advise you to check the above-mentioned web site.
In this edition of ACDL, the registration fee includes online participation to two additional Events:
- LOD 2021 – The 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science – October 5 – 8, 2021, and
- ACAIN 2021 – Advanced Course and Symposium on Artificial Intelligence and Neuroscience (co-located event to LOD 2021).
One registration for participation in three events: ACDL, LOD & ACAIN!
The ACDL 2021 Organizing Committee is pleased to announce that the Early Registration Deadline has been extended until July 10th:
Those who have not Registered yet are encouraged to do so here:
Please don’t hesitate to contact us if you need more information and/or details.
It is possible to change the mode of participation (the Registration):
from Onsite Registration → to Online Registration and similarly
from Online Registration → to Onsite Registration
We are offering the possibility to change the mode of participation to ACDL 2021. Those who register in one mode can easily change it by 19 June (one month before the course starts).
- It is possible to take Onsite Registration and then change it to Online Registration and get a corresponding refund, but this decision must be made by 19 June.
- Similarly, you can do Online Registration and then upgrade to Onsite Registration and pay the difference (via PayPal); this decision must also be made by 19 June.
If you have any questions please write to the organising committee: email@example.com
Prof. Bettina Berendt, TU Berlin, Germany – KU Leuven, Belgium – Weizenbaum Institute for the Networked Society, Germany
Professor for Internet and Society at the Faculty of Electrical Engineering and Computer Science at Technische Universität Berlin, Director of the Weizenbaum Institute for the Networked Society, and guest professor in the Declarative Languages and Artificial Intelligence Group DTAI of the Department of Computer Science at KU Leuven.
Prof. Michael I. Jordan, University of California, Berkeley, USA
Pehong Chen Distinguished Professor
Department of EECS
Department of Statistics
Berkeley AI Research Lab
University of California, Berkeley, USA
Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. He received his Masters in Mathematics from Arizona State University, and earned his PhD in Cognitive Science in 1985 from the University of California, San Diego. He was a professor at MIT from 1988 to 1998. His research interests bridge the computational, statistical, cognitive and biological sciences. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He was a Plenary Lecturer at the International Congress of Mathematicians in 2018. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM. In 2016, Professor Jordan was named the “most influential computer scientist” worldwide in an article in Science, based on rankings from the Semantic Scholar search engine.
- Professor, University of California, Berkeley, 1998-present
- Professor, MIT, 1988-1998
- Honorary Doctorate, Yale University, 2020
- Honorary Professor, Peking University, 2018-present
- Distinguished Visiting Professor, Tsinghua University, 2017-2019
- Chaire d’Excellence, Fondation Sciences Mathématiques de Paris, 2012
- Member, National Academy of Sciences
- Member, National Academy of Engineering
- Member, American Academy of Arts and Sciences
- Fellow, American Association for the Advancement of Science
- Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM
- Elected Member, International Statistical Institute
- AMS Ulf Grenander Prize in Stochastic Theory and Modeling, 2021
- IEEE John von Neumann Medal, 2020
- Plenary Speaker, International Congress of Mathematicians, 2018
- IJCAI Research Excellence Award, 2016
- David E. Rumelhart Prize, 2015
- IMS Neyman Lecture, 2011
- ACM/AAAI Allen Newell Award, 2009
- SIAM Activity Group on Optimization Prize, 2008
- IEEE Neural Networks Pioneer Award, 2006
- IMS Medallion Lecture, 2004