Programas AmSud

Los programas AmSud (STIC, MATH y CLIMAT) son una iniciativa de la cooperación francesa y sus contrapartes en 10 países de Sudamérica, incluyendo Chile. Su objetivo es promover y fortalecer la colaboración y la creación de redes de investigación y desarrollo (I+D) mediante el financiamiento de la movilidad de investigadores en proyectos conjuntos.

Los Programas regionales AmSud son una iniciativa de la cooperación francesa y sus contrapartes de Argentina, Bolivia, Brasil, Chile, Colombia, Ecuador, Paraguay, Perú, Uruguay y Venezuela orientada a promover y fortalecer la colaboración y la creación de redes de investigación-desarrollo en el ámbito de las ciencias de la computación (STIC), de las matemáticas (MATH), y del cambio climático (CLIMAT), a través de la realización de proyectos conjuntos.

El Programa es impulsado por la Delegación de Cooperación Regional (DRC), que tiene su sede en Santiago de Chile, e involucra a las agencias nacionales de investigación de los distintos países miembros, además de los organismos nacionales de investigación de Francia, como Inria. 

Chile, es el primer socio de Inria en el programa AmSud. Desde 2012 y la creación del centro Inria en Chile, investigadores de Inria y de Chile han participado de 63 proyectos AmSud, los cuales corresponden a: 

• 35 STIC AmSud 

• 25 Math AmSud 

• 3 CLIMAT AmSud

En 2025, 10 proyectos AmSud involucrando a científicos de Inria y de Chile se están desarrollando.

• CUDEN: Collaborative Centric User-Device Networking

• AMMA: Accelerating Markov Models´s Analysis

• DYNARCHI: Dynamic analysis for software (re-)architecturing

• P-MVP: Physics based modeling of voice production

• RESPOND: Reputation and Energy aware Search for supPOrting Natural Disasters

• SIN: Stochastic Analysis, Statistical Inference and Applications in Neuroscience

• MOSAIC: Mobile Crowd Sensing and data Offloading in Collaborative Networks

• AKD: Autonomic Knowledge Discovery for Security Vulnerability Prevention in Self-governing Systems

• UCOOL: Understanding and predicting human demanded COntent and mObiLity

• DAT: Dependability Analysis Tool

• MineAPI: Mining software repositories to instantiate software frameworks and react to API changes

• FoG: Foundations of Graph Structured Databases

• MAIA: Methodological Approaches Investigated as Accurately as possible for applications to biology

• MOSTICAW: MOdeling the Spread and (opTImal) Control of Arboviroses by Wolbachia

• PEACH: PrEcision Agriculture through Climate researcH

• SIDRE: Statistical inference for dependent stochastic processes and application in renewable energy

• STADE: Stability and Dichotomies in Differential Equations (Ordinary & Delay).

• DyGaMe: Dynamic Games Methods: theory, algorithmics and application

• MODYNE: From monotonicity to dynamic and equilibrium: structures and applications

• PaDMEtBio: Parallel and Distributed Metaheuristics for Structural Bioinformatics

• DAJA: Detection Strategies Based on Software Metrics for Multitier JavaScript

• MATH-GEO: MATHematical methods for GEO physical flows

• PHOTOM: Photovoltaic Solar Devices in Multiscale Computational Simulations

• SaSMoTiDep: Statistical and Stochastic modeling for time-dependent data

• ACCON: Algorithms for the Capacity Crunch problem in Optical Networks

• GALOP: Graphs ALgorithms for Optimization Problems

• RAREDEP: Rare events analysis in multi-component systems with dependent components

• SARC: Stochastic and Statistical analysis for Stochastic Differential equations driven by fractional Brownian motion with non regular coefficients

• WIRELESSWINE: Yield Estimation and Sensor Location for Frost Prediction in Vineyards

• Test-Project Green AI: Towards an ecologically viable machine learning

• ACIPDE: Analysis, Control and Inverse problems for Partial Differential Equations

• ADMITS: Architecting Distributed Monitoring and Analytics for IoT in Disaster Scenarios

• ARGO: Algebraic Real Geometry and Optimization

• FANTASTIC: Statistical inFerence and sensitivity ANalysis for models described by sTochASTIC differential equations

• NEMBICA: NEw Methods for BIological Control of the Arboviruses

• SAQED: Scalable Approximate Query Evaluation on Document Inverted Files for GPU based Big-Data Applications

• ANGEL: IoT e-Health Platform to Monitor and Improve Quality of Life

• EMISTRAL: An Environmental Monitoring and Inspection Sailboat via Transfer, Reinforcement and Autonomous Learning

• EOLIS: Efficient Off-Line numerical Strategies for multi-query problems

• Green AI: Towards an ecologically viable machine learning

• QAPLA: Quantum aspects of programming languages

• SILIDOC: In silico modeling of single-subject neuroimaging data for the characterization and prognosis of patients with disorders of consciousness

• STARS: SaTellite networks Architectures pRotocols and informaticS

• TOMENADE: Topological Methods and Non Autonomous Dynamics for Delay Differential Equations

• ALGonCOMB: Algebraic structures supported on families of Combinatorial objects

• climateDL: using deep learning spatial-temporal graph models for seasonal forecasting of extreme temperature events

• NoLoCE: Nonlocal and Local Coupled Equations

• NOTION: non-local conservation laws for engineering, biological and epidemiological applications: theory and numerics

• MathNN4DE: Mathematical analysis of neural networks for solving partial differential equations and inverse problems.

• SCIPInPDES: Stabilization, Control and Inverse Problems in PDEs

• GSA: Graph spectra and its applications

• LINT: Leveraging federated mobility learning for tactile Internet service

• NetConHybSDP: Networked control of hybrid systems by semidefinite programming with applications in industry 4.0