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ELLIS Doctoral Symposium #EDS2024: AI & sustainability
August 26 - August 30
EDS 2024: AI & sustainability
SAVE THE DATE! The ELLIS Doctoral Symposium (EDS) is coming back this summer and celebrates its fourth edition in Paris, France. Join us from August 26 to 30 for a week filled with science, networking opportunities and croissants.
What is EDS? The ELLIS Doctoral Symposium is the highlight of the year in the ELLIS PhD Program. It’s an annual conference for ELLIS PhD students and other PhD students to meet in person and share knowledge about machine learning. The main topic of this year is AI in sustainability.
What to expect? Poster & tooling sessions, keynote speakers, industry fair, social events and more!
How to join?
Application timeline
- April 2: Applications open for ELLIS students/postdocs & those conditionally accepted into the program.
- May 3: Applications close.
- May 22: Acceptance emails are sent to eligible applicants (with payment instructions) + second round of applications opens for non-ELLIS participants.
- June 5: Second round closes.
- June 14: Acceptance emails are sent to eligible applicants (with payment instructions).
- June 30: Deadline for payment (first and second round).
Register here
For more information please refer to: https://eds2024.github.io
Want to get an impression of last year’s EDS? Check out this summary article about the event at our ELLIS Unit Helsinki.
Learn more about the ELLIS PhD Program here.
For updates on the ELLIS PhD Program, follow ELLIS on X, LinkedIn, Mastodon and Facebook.
Keynote Speakers
Rita Cucchiara (Università degli Studi di Modena e Reggio Emilia)
Title of the keynote: TBA.
Abstract: TBA.
Devis Tuia (EPFL)
AI²: why Artificial Intelligence should be All Inclusive.
Abstract: In today’s rapidly evolving technological landscape, the transformative potential of Artificial Intelligence (AI) is undeniable. However, as AI continues to revolutionize various industries and aspects of our lives, questions of inclusivity and equity have come to the forefront for practitioners. This presentation delves into the imperative of making AI all-inclusive, ensuring that its benefits are accessible to all segments of society. We will explore the ethical, social, and economic implications of AI exclusivity, emphasizing the need for diverse representation in AI development and deployment. Through case studies and real-world examples, we will highlight the tangible benefits of inclusive AI, from enhancing decision-making processes to fostering innovation and creativity. Moreover, the presentation will address the challenges and barriers to achieving inclusivity in AI, including biases in algorithms, lack of diversity in AI teams, and digital divides. By identifying these obstacles, we can formulate strategies to overcome them and create a more equitable AI ecosystem. Ultimately, AI² advocates for a future where Artificial Intelligence is not only powerful and innovative but also inclusive and accessible to everyone. By embracing diversity and promoting inclusion, we can harness the full potential of AI to address pressing societal challenges and build a better world for all.
Caroline is also the co-founder of the Paris meetup chapter of Women in Machine Learning and Data Science (WiMLDS), click on the link for more information
Gaël Varoquaux (Inria Saclay)
Title of the keynote: TBA.
Abstract: TBA.
Caroline Therwath-Chavier (The Allyance)
AI²: why Artificial Intelligence should be All Inclusive.
Abstract: In today’s rapidly evolving technological landscape, the transformative potential of Artificial Intelligence (AI) is undeniable. However, as AI continues to revolutionize various industries and aspects of our lives, questions of inclusivity and equity have come to the forefront for practitioners. This presentation delves into the imperative of making AI all-inclusive, ensuring that its benefits are accessible to all segments of society. We will explore the ethical, social, and economic implications of AI exclusivity, emphasizing the need for diverse representation in AI development and deployment. Through case studies and real-world examples, we will highlight the tangible benefits of inclusive AI, from enhancing decision-making processes to fostering innovation and creativity. Moreover, the presentation will address the challenges and barriers to achieving inclusivity in AI, including biases in algorithms, lack of diversity in AI teams, and digital divides. By identifying these obstacles, we can formulate strategies to overcome them and create a more equitable AI ecosystem. Ultimately, AI² advocates for a future where Artificial Intelligence is not only powerful and innovative but also inclusive and accessible to everyone. By embracing diversity and promoting inclusion, we can harness the full potential of AI to address pressing societal challenges and build a better world for all.
Caroline is also the co-founder of the Paris meetup chapter of Women in Machine Learning and Data Science (WiMLDS), click on the link for more information
David Rolnick (McGill University and Mila – Quebec AI Institute)
Title of the keynote: TBA.
Abstract: TBA.