BIG DATA, ARTIFICIAL INTELLIGENCE & CLOUD COMPUTING FOR ENVIRONMENT DATA

Overview on the results

The project led to capacity building for the project members and students who were able to participate in the 8 workshops that we organized. More than a hundred training sessions were given. The slides of the presentations are available on the Workshops page of the website. We can collectively say that all the partners are now aware of the issues related to data in environmental sciences, the solutions proposed by cloud computing and have discovered the potential of deep learning and its implementation on a GPU server for these disciplines (thanks to the equipment installed during the project in Cambodia).

Our ambition is to train engineers and data technicians in the capacity to interact with environmental sciences. The future technicians and engineers who will be trained  will above all be specialists in cloud computing and artificial intelligence (data scientist). But they will also be technicians and engineers sufficiently trained in the environmental and societal challenges of the contemporary world to be able to provide their engineering in an appropriate manner to meet these challenges. Above all, they will have the capacity to be able to work in multidisciplinary contexts which are those who have to take up the challenge of the crises which threaten our planet in general and Vietnam in particular.

Pedagocial ressources 

Building on these training experiences,  we designed pedagogical resources.

The aim of the selected themes of these resources is not to focus on how to form on IT specific skills, but to teach how to analyze and integrate data so that it meets the needs of managers and administrators of the urban planning, transport, agriculture and forestry, hydrology and public health. This involves many other skills than just technical ones: being able to communicate on the basis of solid theoretical bases with specialists in the themes mobilized.

These resources are intended as a teaching guide to discover the main elements of the different teaching units to be developed to form on specificities of environmental sciences, data, storage and processing.  The idea here is that teachers can quickly have access to the ins and outs of each course with synthetic overview of the course and the skills to be acquired and reference bibliography items. 

The ressources are organized in 14 themes structured around 3 axes: Foundations of environmental sciences, Data and management tools for environmental sciences, and computing for environmental sciences). 

For each theme, we produced

  • a detailed description presenting the objectives (Knowledge, Skills, Attitude), the Content of the course and how it can be taught,
  • an H5P module integrating the highlights of the course, the competences to be acquired and a short video presenting the courses. These modules are published under free license, in H5P format that facilitate their reuse.

The ressources are available in this section.

Quality plan

A quality plan was followed during the project. The mid-term quality report is  available here and the final one here.

Feedbacks from our inter-cultural and inter-disciplinary projetcs

You will also find below feedbacks from Asian partners on our inter-cultural and inter-disciplinary project.

Feedback from AIT:

Feedback from ITC:

Feedback from NLU:

Feedback from UD: