STEEP - 2018 - Annual activity report

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STEEP

STEEP - 2018

Project-Team Steep

Team, Visitors, External Collaborators

Overall Objectives

Research Program

Highlights of the Year

New Software and Platforms

New Results

Calibration of the Tranus Land Use Module: Optimisation-Based Algorithms, their Validation, and Parameter Selection by Statistical Model Selection
Convolutional neural networks for disaggregated population mapping using open data
Uncertainties of Domestic Road Freight Statistics: Insights for Regional Material Flow Studies
A method for downscaling open population data
Modelling the relationships between urban morphology, pollutant generation and concentration in the air using PLS path modelling
Implementation of the World3 model in Python for parametric exploration

Partnerships and Cooperations

Dissemination

Bibliography

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2018 Project-Team Activity Report

STEEP

Sustainability transition, environment, economy and local policy

Research centre: Grenoble - Rhône-Alpes

In partnership with: CNRS, Université de Grenoble Alpes

In collaboration with: Laboratoire Jean Kuntzmann (LJK)

Field: Digital Health, Biology and Earth

Theme: Earth, Environmental and Energy Sciences

Keywords:

Computer Science and Digital Science:

A3.3.2. - Data mining
A6.1. - Methods in mathematical modeling
A9.6. - Decision support

Other Research Topics and Application Domains:

B3.1. - Sustainable development
B3.1.1. - Resource management
B3.4.3. - Pollution
B7. - Transport and logistics
B8.3. - Urbanism and urban planning
B8.5.1. - Participative democracy
B8.5.3. - Collaborative economy
B9.9. - Ethics