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GenAI4MoDA 2024 : 1st Workshop on Generative AI for Mobility Data (GenAI4MoDA)

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Link: https://sites.google.com/imtlucca.it/genai4mod-mdm24
 
When Jun 24, 2024 - Jun 24, 2024
Where Bruxelles
Submission Deadline Apr 12, 2024
Notification Due May 3, 2024
Final Version Due May 15, 2024
Categories    generative ai   machine learning   mobility data   spatio-temporal data mining
 

Call For Papers

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GenAI4MoDA 2024 Call for papers
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1st Workshop on Generative AI for Mobility Data (GenAI4MoDA)
June 24th, 2024, Brussels, Belgium
co-located with the 25th IEEE International Conference on Mobile Data Management Conference (MDM 2024)

https://sites.google.com/imtlucca.it/genai4mod-mdm24/home
https://mdm2024.github.io/workshops.html

The event will be organized primarily as an in-person event.



*** Workshop Description ***

Generative AI, a subset within the realm of artificial intelligence, has undergone significant progress in recent years. This progress empowers machines to craft, imitate, and produce content that closely mirrors human creations.
The application of generative AI on mobility data can benefit studies on urban and mobility data in several aspects: for instance, researchers can leverage new datasets, and perform what-if analysis in cases of changes in, e.g., the road network or on the public transport schedule, and possibly evaluate differences between cities.
Furthermore, generating synthetic mobility datasets can offer numerous benefits regarding privacy, confidentiality, and proprietary concerns.

While the application of these technologies in handling urban and mobility data is still in its early stages, its potential impact on research endeavors and decision support systems for policymakers within the urban context is noteworthy. Therefore, the first workshop on Generative AI for Mobility data (GenAI4MoDA) aims to unite researchers and practitioners to exchange insights into the current state of research on Generative AI for urban data. The overarching goal is to foster collaboration and establish a research network that accelerates the development of novel ideas and practical solutions in this field.

The 1st GenAI4MoDa workshop aims to build a community in this area and set the stage for its current research developments from Academia and the industry. GenAI4MoDa aims to complement the list of relevant topics of the original MDM call for papers, encouraging submissions in the following areas:

- Supervised learning for Mobility Data data
- Supervised learning for Geographical Data
- Generalization/transfer learning on Mobility Data
- Incremental learning for Mobility Data
- Metrics design for GenAI4MoDA systems
- Human evaluation design for GenAI4MoDA systems
- Human interfaces for GenAI4MoDA systems
- Prompt engineering for GenAI4MoDA systems
- Applications of GenAI4MoDA in practical/industry settings
- Fairness, Accountability, Transparency, Ethics, and Explainability (FATE) of GenAI4MoDA systems
- Privacy Preservation and Data Leakage Prevention in GenAI4MoDA systems



*** Paper Submission Procedure ***

- Originality: submissions must be original (i.e., not submitted to or accepted to other venues); however, we welcome extensions or revisions of published papers. Also, we encourage submitting early-stage work or position papers.

- Anonymity: submissions are not required to be anonymous (single-blind).

- Paper Formatting: submissions of papers must be in English, in PDF format, be at most 6 pages in length (including references), and follow the IEEE Computer Society Proceedings Manuscript Formatting Guidelines. Suitable LaTeX, Word, and Overleaf templates are available at https://www.ieee.org/conferences/publishing/templates.html.

- Submission Link: all papers must be submitted using easychair through the following link: https://easychair.org/my/conference?conf=genai4moda



*** Important dates ***

- Submission deadline: April, 12th, 2024 (AoE)
- Author notification: May, 3rd, 2024 (AoE)
- Camera-ready deadline: May, 15th, 2024 (AoE)
- Workshop day: June, 24th, 2024



*** Organization and Support ***

Workshop organizers:
- Fabio Pinelli, IMT School for Advanced Studies Lucca, Italy - primary contact
- Francesco Lettich, National Research Council of Italy (ISTI-CNR)

email: genai4moda@gmail.com
twitter: https://twitter.com/genai4moda

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