As in previous editions, the Deep Learning School will take place over 5 days on the SophiaTech Campus (Polytech Sophia Antipolis) from July 1 to 5, 2024.
Each day, half a day will be dedicated to a lecture by a world-renowned researcher in the field of Machine Learning/Deep Learning, and the other half day to a 3-hour Lab during which the concepts covered in class will be applied directly.
During these five days, participants will have the opportunity to be trained by world-renowned experts:
– Monday, July 1st: Interpretable AI by Prof. Cynthia Rudin, Duke University (USA)
– Tuesday, July 2nd: NLP & Frugal AI by Prof. Emma Strubell, Carnegie Mellon University (USA)
– Wednesday, July 3rd: Responsible and Fairness AI by Prof. Golnoosh Farnadi, Université McGill et Mila (Canada)
– Thursday, July 4th: IA and Physics/simulation by Prof. Amir Barati Farimani, Carnegie Mellon University (USA)
– Friday, July 5th: Foundation Models – From images to language and vice versa, by Prof. Matthieu Cord, Sorbonne Université, scientific director of Valeo AI.
You can find all the information about these specialists and their lecture on our website : https://3ia.univ-cotedazur.eu/deep-learning-school/homepage
You can register here : https://3ia.univ-cotedazur.eu/deep-learning-school/registration
We hope to host you on the French Riviera this July.
The Team of Deep Learning School @UniCA
Extended Deadline – Call for Papers ACM GoodIT 2024
June 4th, 2024 
Daniela Lopez de Luise https://blogs.uni-bremen.de/goodit2024/
The ACM 4th International Conference on Information Technology for Social Good (GoodIT 2024) is a premier international forum for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of data and technology for addressing Social Good and the UN Sustainable Development Goals. We welcome contributions that delve into the nexus of technology, data science, and social well-being, exploring how these domains interconnect and impact society.
Alongside the main track, the conference includes the Work-in-Progress and PhD Track. The Work-in-Progress Track is an excellent opportunity for practitioners and researchers to present early-stage work, offering a platform for sharing innovative ideas, receiving feedback, and fostering discussions and collaborations. The PhD Track is designed for PhD students at different stages of their research. It provides a valuable opportunity for these students to present and refine their research under the guidance of experienced researchers.
Additionally, the program will be enriched with several Special Tracks. The forthcoming Call for Papers will outline these tracks' details and specific topics.
We welcome submissions on a wide range of topics, including but not limited to:
- IT and Data Science for Social Good:
- Social Impact of Machine Learning Applications
- Data and algorithmic biases and potential societal risks
- Large language models (LLMs) and GenAI models impact on society
- Fairness, Accountability, and Transparency in Machine Learning
- Citizen Science
- IT for smart living, Health and social care
- Technology for Social Good:
- AI and Machine Learning for Social and Humanitarian response
- IoT Solutions for Sustainable Development
- Decentralized approaches to IT
- Digital Solutions for Cultural Heritage
- Game, entertainment, and multimedia applications
- IT for education
- Environmental Sustainability and Technology:
- Green Computing and Energy-Efficient Technologies
- Climate Change Modeling and Environmental Science
- Smart Cities and Sustainable Urban Development
- Sustainable Networking and Communication Systems
- Technology addressing the digital divide
- Ethics, Policy, and Governance in Tech for Social Good:
- Regulatory and Policy Frameworks for Ethical Tech
- Governance of AI and Autonomous Systems in Social Contexts
- Digital Rights and Freedom in the Age of Technology
- Data Privacy and Security in Social Applications
Submission Guidelines:
Submitted papers must be original works and must not have been previously published.
All papers must clearly outline the research question, methodology, results, and implications for social good.
The papers should follow the new ACM format (https://authors.acm.org/proceedings/production-information/taps-production-workflow).
- Main Track and Special Tracks Full Paper Submission should be a maximum of 12 pages;
- Work-in-Progress papers should be a maximum of 8 pages;
- Ph.D. track papers should be a maximum of 5
The indicated paper length includes references, tables, and figures. Documents with a length disproportionate to their contribution will be rejected.
These submissions will undergo a single-blind peer review process involving three evaluations each. Accepted papers will be included in the ACM Digital Library.
Each accepted paper must have at least one of its authors register for and physically present the work at the conference. Please consider that this is a condition to ensure the paper is included in the conference proceedings.
For additional details, please check the “Submission of Papers” (https://blogs.uni-bremen.de/goodit2024/submission-of-papers/) web page.
Important Dates:
- Full Paper Submission Extended Deadline: June 17th, 2024 (FIRM)
- Notification of Paper Acceptance: July 8th, 2024
- Camera-Ready Submission: July 19th, 2024
- Conference Dates: 4-6 September 2024, Bremen, Germany
Submission Portal:
Please submit your papers through our online submission portal available at https://goodit2024.hotcrp.com/
Contact Us:
For any inquiries regarding the call for papers, please contact pmanzoni@disca.upv.es” target=”_blank”>pmanzoni@disca.upv.es
We look forward to your contributions and to seeing you at the ACM GOODIT 2024 Conference!
ACM GOODIT 2024 Conference Committee