Can technology mitigate the environmental crisis? Workshop’21, 1st edition
The aim of this workshop is to bring together researchers and industry representatives to discuss how their works and ideas can mitigate the environmental crisis - or worsen it.
Information and communication technology has changed the fabric of our society and has altered our relation, understanding and appreciation of the world around us. New and emerging technologies aim at predicting the climate using simulations models and Artificial Intelligence, monitoring agricultural soils via drones, creating atmospheric and sonic pollution maps in cities via crowdsensing, and collecting data at the field level using IoT devices. This workshop aims to explore potential impact and applications of recent technological innovations on the environment, as well as the perspectives for the years to come.
We encourage the submission of research, work-in-progress and position and vision papers addressing themes related to the environment. Interdisciplinary work is of high interest. We are looking for inputs relating technologies such as blockchain cloud and edge computing, visualization Analytics, Machine Learning, Big data, Knowledge Graphs, Semantic Web and Linked Data, IoT, address topics such as environmental crisis, disaster management, health and environment, Environmental governance, Agriculture and water, Energy, Recycling, Climate prediction, Green technology, Lifestyle and sustainability, Pollution monitoring.
- Jonathas De Mello, United Nations Environment (UNEP)
- Rafael Angarita, Isep Paris, https://rafaelangarita.github.io
The workshop will take place remotely via the EGC server: https://visio.egc2021.lirmm.fr/b/flo-pzs-qoc-ypt
New technologies, when designed and implemented considering global challenges and current realities, can be of great value to provide alternatives to mitigate the climate crisis we are all facing. This keynote will present a comprehensive overview of the intersections among technology and the environment, as well as a global contextualization of current and forthcoming challenges.
David Jensen United Nations Environment Programme (UNEP) https://www.unenvironment.org/people/david-jensen
Check out the slides of the keynote here!
Session 1 (9h30-10h30):
- Optimization and Automation of Multi-Layered Ensemble Learning for Short-Term Forecasting in Agro-Climatology
Rohit Annad Gupta, Liu Xiaoyang, Jade Eva Guisiano, Raja Chiky, Julien Orensanz, Shohreh Ahvar
- Fine-tuning BERT-based models for Plant Health Bulletin Classification
Shufan Jiang, Rafael Angarita, Stéphane Cormier, Francis Rousseaux
Coffee break (10h30-11h00)
Session 2 (11h00-12h30):
- Supervised classification of curves via a combined use of functional data analysis and random forest
Fabrizio Maturo and Rosanna Verde
- Automatic classification of multilabel texts related to Sustainable Development Goals (SDGs)
Jade Guisiano and Raja Chiky
- Functional data analysis approach for identifying redundancy in air quality monitoring stations amid Covid-19
Annalina Sarra, Adelia Evangelista, Tonio Di Battista and Sergio Palermi
- Robert Rodriguez, United Nations Environment (UNEP)
- Didier Salzmann, United Nations Environment (UNEP)
- Raja Chiky, Isep Paris
- Mohamed Sellami, Telecom SudParis
- Maude Manouvrier, Université Paris-Dauphine
- Valérie Issarny, Inria Paris
- Rosanna Verde, Caserta University. Italy
- Farid Meziane, Derby University, UK
- Aliou Boly, UCAD, Senegal
- Rayane El Sibai, Al Maaref University. Lebanon
- Stephane Cormier, Université de Reims Champagne-Ardennes
- Submission deadline: 15/12/2020
- Notification to authors: 31/12/2020
- Camera-ready submission: 15/01/2021
- Workshop: 26/01/2021
- Template: submissions must be done exclusively in PDF following the RNTI format available at http://www.editions-rnti.fr/files/RNTI-X-Y2.1.zip
- Length: 6 pages maximum for short papers and 12 pages maximum for long papers
- Languages English or French