February 16th, 2021 
Daniela Lopez de Luise ACDL 2021 – A Unique Experience:
#DataScience, #MachineLearning & #ArtificialIntelligence with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano
(Online attendance available)
Certosa di Pontignano, Siena – #Tuscany, Italy
July 19-23
ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse
REGISTRATION:
Early Registration: by Monday February 15, 2021 (GMT+01)
DEADLINES:
o Early Registration: by Monday February 15, 2021 (GMT+01)
o Oral/Poster Presentation Submission Deadline: Monday February 15, 2021 (GMT+01)
o Late Registration: from Tuesday February 16, 2021
o Accommodation Reservation at Reservation at the Certosa di Pontignano: by Saturday July 10, 2021
o Notification of Decision for Oral/Poster Presentation: by Monday May 31, 2021
ACDL 2021 LECTURERS:
Each Lecturer will hold three/four lessons on a specific topic.
* Pierre Baldi, University of California Irvine, USA
* Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation
* Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh
* Silvia Chiappa, DeepMind, London, UK
* Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI
* Marco Gori, University of Siena, Italy
* Georg Gottlob, Computer Science Dept, University of Oxford, UK
* Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK
* Panos Pardalos, University of Florida, USA
* Daniela Rus, MIT, USA) Director of CSAIL (TBC)
* Silvio Savarese, Stanford, University, USA Institute for Human-Centered Artificial Intelligence
* Cristina Savin, New York University, Center for Neural Science & Center for Data Science, USA
* Naftali Tishby, Hebrew University, Israel
* Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, Tübingen, * Germany
* Mihaela van der Schaar, University of Cambridge, UK
More Keynote Speakers to be announced soon.
ACDL 2021 TUTORIAL SPEAKERS:
* Roman Belavkin, Middlesex University London, UK
* Martín Gómez Ravetti, Federal University of Minas Gerais, Brazil
More Tutorial Speakers to be announced soon.
PAST LECTURERS:
* Ioannis Antonoglou, Google DeepMind, UK
* Igor Babuschkin, DeepMind – Google, London, UK
* Pierre Baldi, University of California Irvine, USA
* Roman Belavkin, Middlesex University London, UK
* Yoshua Bengio, University of Montreal, Canada
* Michael Bronstein, Twitter & Imperial College London, UK
* Sergiy Butenko, Texas A&M University, USA
* Giuseppe Di Fatta, University of Reading, UK
* Marco Gori, University of Siena, Italy
* Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute
* Phillip Isola, MIT, USA
* Leslie Kaelbling, MIT – Computer Science & Artificial Intelligence Lab, USA
* Diederik P. Kingma, Google Brain, San Francisco, CA, USA
* Ilias S. Kotsireas, Wilfrid Laurier University, Canada
* Risto Miikkulainen, University of Texas at Austin, USA
* Peter Norvig, Director of Research, Google
* Panos Pardalos, University of Florida, USA
* Alex 'Sandy' Pentland, MIT & Director of MIT’s Human Dynamics Laboratory, USA
* José C. Principe, University of Florida, USA
* Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA
* Dolores Romero Morales, Copenhagen Business School, Denmark
* Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA
* Guido Sanguinetti, The University of Edinburgh, UK
* Josh Tenenbaum, MIT, USA
* Naftali Tishby, Hebrew University, Israel
* Mihaela van der Schaar, University of Cambridge
* Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
* Oriol Vinyals, Google DeepMind, UK
SCOPE:
MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic.
Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless.
The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime.
VENUE:
The venue of ACDL 2021 will be The Certosa di Pontignano — Siena
Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens.
ACCOMMODATION:
PAST EDITIONS
REGISTRATION:
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
Anyone interested in participating in ACDL 2021 should register as soon as possible!
Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible!
All course participants should/must stay at the Certosa di Pontignano.
See you in 3D or 2D 🙂 in Tuscany next July!
ACDL 2021 Organizing Committee.
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