ACDL 2021 an Online and Onsite Course
A Unique Experience: Data Science & Machine Learning with the World’s Leaders
in the fascinating atmosphere of the ancient Certosa di Pontignano
After numerous discussions, we have concluded that holding the event this year in hybrid form, both onsite and virtual(as was done for ACDL 2020) as this is most beneficial for the ACDL community rather than postponing the course to 2022.
The organizing committee of ACDL 2021 has decided to run the conference on the originally scheduled dates (July 19-23, 2021), and to run it as a hybrid course:
The Certosa di Pontignano (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 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 Siena – Tuscany in July!
October 22, 2020
The ACDL 2021 Organizing Committee
Inside the antique cells, the lecture rooms and around the fascinating atmosphere of the ancient Certosa di Pontignano, Siena – Tuscany the world’s leading scientists and industry experts discuss scientific challenges with a highly selected number of participants in a unique setting, nestled within the most idyllic landscapes of Tuscany, in the outskirts of Siena.
For one intense week you will work alongside faculty that are undisputed leaders in their own field: the result is a profound experience that fosters professional and personal development.
In a proven, unique format you will be exposed to a high-impact learning experience, taking you outside the comfort zone of your own technical expertise, that will empower you with new analytical and strategic skills across areas of Big Data, Deep Learning and Artificial Intelligence.
The 4th Advanced Course on Data Science & Machine Learning (ACDL) is a full-immersion five-day residential Course at the Certosa di Pontignano (Siena – Tuscany, Italy) on cutting-edge advances in Data Science and Machine Learning with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researches, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their peers, in a friendly and constructive environment.
You will gain a heightened awareness for fields of data science and machine learning relevant for your activity and, perhaps most important, you will gain a place within an elite global network of data scientists and machine learning experts.
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 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 Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.
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 & Machine Learning the experience of a lifetime!
Topics
- Artificial Intelligence
- Big Data
- Cognitive Computing
- Computational Cognitive Science
- Constraint-Based Approaches to Machine Learning
- Data Science
- Deep Learning
- Explainable Artificial Intelligence
- General Reinforcement Learning Algorithms
- Generative Adversarial Networks
- Machine Learning
- Probabilistic Generative Models
- Probabilistic Programming
- Reinforcement Learning
- Robotics
- Theory of Deep Learning
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Deadlines
- Early Registration: by Monday February 15, 2021 (GMT+01)
- Oral/Poster Presentation Submission Deadline: Monday February 15, 2021 (GMT+01)
- Late Registration: from Tuesday February 16, 2021
- Accommodation Reservation at Reservation at the Certosa di Pontignano: by Friday April 30, 2021
- Notification of Decision for Oral/Poster Presentation: by Monday May 31, 2021
- Course: July 19-23, 2021
Recent News
- January 23, 2021 — New Keynote Speaker: Jacob D. Biamonte, Head of Skoltech’s Laboratory for Quantum Information Processing
- January 22, 2021 — New Keynote Speaker: Silvia Chiappa, DeepMind London, UK
- January 22, 2021 — New Keynote Speaker: Isabel Valera, Saarland University & Max Planck Institute for Intelligent Systems, Tübingen, Germany
- January 21, 2021 — New Keynote Speaker: Cristina Savin – New York University, Center for Neural Science & Center for Data Science, USA
- January 21, 2021 — New Keynote Speaker: Oren Etzioni, CEO at Allen Institute for AI, USA
- January 21, 2021 — New Keynote Speaker: Silvio Savarese, Stanford University, USA
- January 14, 2021 — New Keynote Speaker: Pierre Baldi, University of California Irvine, USA
- January 14, 2021 — New Keynote Speaker: Chris Bishop, Microsoft, Cambridge, UK
- January 14, 2021 — New Keynote Speaker: Roman Belavkin, Middlesex University London, UK
- January 14, 2021 — New Keynote Speaker: Panos Pardalos, University of Florida, USA
- January 14, 2021 — New Keynote Speaker: Mihaela van der Schaar – University of Cambridge, UK
- October 25, 2020 — ACDL 2021 (as ACDL 2020): an Online & Onsite Course
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Tutorial Speakers
ACDL 2021 Directors

