Climate projections anticipate an increase in frequent droughts, episodes of extreme fire behavior, in addition to heat waves and unstable atmospheric conditions, all phenomena related to climate change. Drought intensification has been projected to increase in frequency in several regions across the globe, including the southwestern part of South America, the European Mediterranean Basin, Northern Africa, the Middle East, Central Asia, Australia, and the USA. Particularly, the former three areas have been recognized as locations highly likely to face unprecedented droughts during the 21st century, and within Southwestern South America, Chile has been alarmingly pointed out as the country earlier in this era experiencing this phenomenon, regardless of the greenhouse gas emissions scenario. Catastrophic effects such as extreme droughts and changes in fire behavior are important drivers of ecosystem degradation in arid, semiarid, dry temperate and Mediterranean ecosystems. Mediterranean ecosystems of central Chile have been indicated as the earliest in its type experiencing effects of climate change; where an accelerated aridification is already registered; therefore, representing a scenario to anticipate the effects of climate anomalies at other ecosystems of its type. Persistent droughts and land burning can compromise belowground conditions that are essential to support aboveground life in terrestrial ecosystems. Nevertheless, despite their importance for ecosystem functioning and recovery after environmental disturbances, there still a considerable lack of comprehension on how belowground attributes respond to combined stressors such as droughts and fires. This is of particular concern in conditions where post-fire plant and soil recovery have been shown to be inhibited or retarded due to severe droughts. Therefore, this project aims to evaluate individual and combined effects of drought and fires over time in soil microbial communities and carbon and nitrogen functional dynamics along with the relationship of these attributes and the state of sclerophyll vegetation in Mediterranean forests of central Chile. To accomplish this goal a multiscale approach will be applied in this research by integrating scientific disciplines from landcape ecology to molecular biology. By using remote sensing study site will be selected within an area known to be affected by an extended drought period (since 2010), in addition to hyper-dry years (2019 and 2021), which in addition has experienced the occurrence of historical wildfires as the case of 2017. From this initial screening
18 study conditions resulting from three climate anomaly categories identified (high, medium, low) according to differences in precipitation with respect to historical average, three categories for forest response to drought (recovered, unaffected and unrecovered) based on analysis of Normalized Burn Index (NBR = [NIR – SWIR] / [NIR + SWIR]) and two burned conditions (with and without) will be obtained for soil and vegetation assessments. Classical soil physicochemical analyses and NG-sequencing techniques including high-throughput amplicon sequencing (metabarcoding), whole genome sequencing (metagenomics), and gene expression (metatransciptomics), in addition to soil physiological analyses will be performed. Moreover, vegetation recovery following drought and fire will be evaluated. Results from this study will allow to better understand the individual versus the combined effects of drought and fires in soil microbial community structure and carbon and nitrogen functionality, which are expected to be exacerbated with the combined occurrence of these phenomena, giving insights on the resilience capacity of soil microbiomes and carbon and nitrogen biogeochemical cycles. From this work, results will also allow to gain a more comprehensive understanding of the linkages between soil functionality and vegetation responses to drought and fires over time, which will allow to identify ecological drivers related to ecosystem stability.

Climate projections anticipate an increase in frequent droughts, episodes of extreme fire behavior, in addition to heat waves and unstable atmospheric conditions, all phenomena related to climate change. Drought intensification has been projected to increase in frequency in several regions across the globe, including the southwestern part of South America, the European Mediterranean Basin, Northern Africa, the Middle East, Central Asia, Australia, and the USA. Particularly, the former three areas have been recognized as locations highly likely to face unprecedented droughts during the 21st century, and within Southwestern South America, Chile has been alarmingly pointed out as the country earlier in this era experiencing this phenomenon, regardless of the greenhouse gas emissions scenario. Catastrophic effects such as extreme droughts and changes in fire behavior are important drivers of ecosystem degradation in arid, semiarid, dry temperate and Mediterranean ecosystems. Mediterranean ecosystems of central Chile have been indicated as the earliest in its type experiencing effects of climate change; where an accelerated aridification is already registered; therefore, representing a scenario to anticipate the effects of climate anomalies at other ecosystems of its type. Persistent droughts and land burning can compromise belowground conditions that are essential to support aboveground life in terrestrial ecosystems. Nevertheless, despite their importance for ecosystem functioning and recovery after environmental disturbances, there still a considerable lack of comprehension on how belowground attributes respond to combined stressors such as droughts and fires. This is of particular concern in conditions where post-fire plant and soil recovery have been shown to be inhibited or retarded due to severe droughts. Therefore, this project aims to evaluate individual and combined effects of drought and fires over time in soil microbial communities and carbon and nitrogen functional dynamics along with the relationship of these attributes and the state of sclerophyll vegetation in Mediterranean forests of central Chile. To accomplish this goal a multiscale approach will be applied in this research by integrating scientific disciplines from landcape ecology to molecular biology. By using remote sensing study site will be selected within an area known to be affected by an extended drought period (since 2010), in addition to hyper-dry years (2019 and 2021), which in addition has experienced the occurrence of historical wildfires as the case of 2017. From this initial screening
18 study conditions resulting from three climate anomaly categories identified (high, medium, low) according to differences in precipitation with respect to historical average, three categories for forest response to drought (recovered, unaffected and unrecovered) based on analysis of Normalized Burn Index (NBR = [NIR – SWIR] / [NIR + SWIR]) and two burned conditions (with and without) will be obtained for soil and vegetation assessments. Classical soil physicochemical analyses and NG-sequencing techniques including high-throughput amplicon sequencing (metabarcoding), whole genome sequencing (metagenomics), and gene expression (metatransciptomics), in addition to soil physiological analyses will be performed. Moreover, vegetation recovery following drought and fire will be evaluated. Results from this study will allow to better understand the individual versus the combined effects of drought and fires in soil microbial community structure and carbon and nitrogen functionality, which are expected to be exacerbated with the combined occurrence of these phenomena, giving insights on the resilience capacity of soil microbiomes and carbon and nitrogen biogeochemical cycles. From this work, results will also allow to gain a more comprehensive understanding of the linkages between soil functionality and vegetation responses to drought and fires over time, which will allow to identify ecological drivers related to ecosystem stability.

Chile is facing one of the steepest increases in Colorectal cancer (CRC) incidence and mortality in the Southern Cone, with
the greatest surge occurring in adults ≤ 50 years. Incidence is lowest in the far north and increases toward the
south-central regions, mirroring a gradient in Aymara-Mapuche Native-American ancestry, an axis largely absent from the
European reference cohorts that guide modern precision oncology. To fill this gap, we propose a four-year project to create
the first Chile-specific, multi-omic and histopathological atlas of CRC and to explore ancestry-aware, AI-assisted
diagnostics.
Rationale and Hypothesis.
We hypothesise that Chilean CRC shows (i) unique, ancestry-driven molecular patterns that differ from European tumors;
(ii) AI models can detect these patterns directly on routine whole-slide images, and (iii) they shape distinct evolutionary
paths in early- versus late-onset disease.
Specific objectives.
Molecular landscape & heterogeneity: Produce single-gland long-read WGS, methylome, and transcriptome profiles for
100 tumors (30 early-onset, 70 late-onset; ≥30× coverage, ≥50 % purity).
Ancestry impact: Phase somatic alterations by local ancestry and contrast their frequencies with European CRC
genomes (TCGA, PCAWG).
AI-enhanced histopathology: Train and externally validate multi-instance-learning (MIL) models that predict microsatellite
instability, driver mutations, and whole-genome doubling from matched WSIs, targeting AUC ≥ 0.80 (pilot: AUC ≥ 0.85 for
whole-genome doubling on TCGA WSIs).
Evolutionary trajectories: Multi-region sequence early-onset and late-onset tumors, reconstruct their clonal phylogenies,
and contrast the resulting evolutionary patterns between the two age groups.
Team capacity & resources. Computational biologist Alex Di Genova (genomics & AI), pathologist Juan Carlos Araya
(digital pathology), and gastro-immunologist Tamara Pérez-Jeldres (clinical phenotyping) have prospective access to >220
new CRC resections and >1,800 registry entries each year. A biobank already houses 100 well-annotated tumour
specimens from hospitals in Santiago and the O’Higgins Region, ready for immediate sequencing and imaging.
As a team we are delivering important results as (i) the generation of the first telomere-to-telomere Chilean genome,
establishing a population-specific reference; (ii) sequenced >270 high-coverage whole genomes of chileans individuals (70
healthy donors, 120 hereditary-breast-cancer cases, 80 primary gallbladder tumors); iii) built the first multi-omic atlas of
gallbladder cancer by integrating our data with Korean (n = 94) and Indian (n = 64) cohorts, uncovering a Chile-enriched
proliferative phenotype; and (iv) developed CRAB-MIL, a weakly supervised deep-learning framework that predicts
whole-genome doubling from routine H&E slides with an AUC > 0.85 and provides attention maps for interpretability. These
accomplishments demonstrate our ability to generate, integrate, and clinically interpret large-scale genomic and AI
datasets—capabilities directly transferable to Chilean CRC. International collaborators Anaïs Baudot (Marseille) and Luis
Zapata (Institute of Cancer Research, London) further contribute multi-omic network analysis and evolutionary-genomics
expertise, respectively.
Interdisciplinary workflow. Clinical phenotyping, computational histopathology, PromethION sequencing, and Nextflow
harmonisation feed ancestry-aware genomic analyses; attention-based models are fine-tuned on TCGA and Chilean WSIs;
computational, pathology, and gastroenterology teams jointly review outputs to prioritise clinically relevant signals. All
variant calls, methylomes, expression matrices, AI prediction, and metadata will be released through an open and intuitive
TumorMap portal.
Expected Outcomes and Impact.
The project will (i) reveal population-specific drivers and mutational processes, (ii) quantify the frequency of clinically
actionable biomarkers originally identified in Europeans, (iii) deliver image-based tools that offer low-cost, molecular
stratification and heterogeneity scoring, and (iv) provide a high-resolution evolutionary framework for EO versus LO CRC.
Collectively, these data will offer the first high-resolution portrait of the Chilean CRC and lay the groundwork for
ancestry-aware screening, diagnostic, and treatment strategies.

Chile is facing one of the steepest increases in Colorectal cancer (CRC) incidence and mortality in the Southern Cone, with
the greatest surge occurring in adults ≤ 50 years. Incidence is lowest in the far north and increases toward the
south-central regions, mirroring a gradient in Aymara-Mapuche Native-American ancestry, an axis largely absent from the
European reference cohorts that guide modern precision oncology. To fill this gap, we propose a four-year project to create
the first Chile-specific, multi-omic and histopathological atlas of CRC and to explore ancestry-aware, AI-assisted
diagnostics.
Rationale and Hypothesis.
We hypothesise that Chilean CRC shows (i) unique, ancestry-driven molecular patterns that differ from European tumors;
(ii) AI models can detect these patterns directly on routine whole-slide images, and (iii) they shape distinct evolutionary
paths in early- versus late-onset disease.
Specific objectives.
Molecular landscape & heterogeneity: Produce single-gland long-read WGS, methylome, and transcriptome profiles for
100 tumors (30 early-onset, 70 late-onset; ≥30× coverage, ≥50 % purity).
Ancestry impact: Phase somatic alterations by local ancestry and contrast their frequencies with European CRC
genomes (TCGA, PCAWG).
AI-enhanced histopathology: Train and externally validate multi-instance-learning (MIL) models that predict microsatellite
instability, driver mutations, and whole-genome doubling from matched WSIs, targeting AUC ≥ 0.80 (pilot: AUC ≥ 0.85 for
whole-genome doubling on TCGA WSIs).
Evolutionary trajectories: Multi-region sequence early-onset and late-onset tumors, reconstruct their clonal phylogenies,
and contrast the resulting evolutionary patterns between the two age groups.
Team capacity & resources. Computational biologist Alex Di Genova (genomics & AI), pathologist Juan Carlos Araya
(digital pathology), and gastro-immunologist Tamara Pérez-Jeldres (clinical phenotyping) have prospective access to >220
new CRC resections and >1,800 registry entries each year. A biobank already houses 100 well-annotated tumour
specimens from hospitals in Santiago and the O’Higgins Region, ready for immediate sequencing and imaging.
As a team we are delivering important results as (i) the generation of the first telomere-to-telomere Chilean genome,
establishing a population-specific reference; (ii) sequenced >270 high-coverage whole genomes of chileans individuals (70
healthy donors, 120 hereditary-breast-cancer cases, 80 primary gallbladder tumors); iii) built the first multi-omic atlas of
gallbladder cancer by integrating our data with Korean (n = 94) and Indian (n = 64) cohorts, uncovering a Chile-enriched
proliferative phenotype; and (iv) developed CRAB-MIL, a weakly supervised deep-learning framework that predicts
whole-genome doubling from routine H&E slides with an AUC > 0.85 and provides attention maps for interpretability. These
accomplishments demonstrate our ability to generate, integrate, and clinically interpret large-scale genomic and AI
datasets—capabilities directly transferable to Chilean CRC. International collaborators Anaïs Baudot (Marseille) and Luis
Zapata (Institute of Cancer Research, London) further contribute multi-omic network analysis and evolutionary-genomics
expertise, respectively.
Interdisciplinary workflow. Clinical phenotyping, computational histopathology, PromethION sequencing, and Nextflow
harmonisation feed ancestry-aware genomic analyses; attention-based models are fine-tuned on TCGA and Chilean WSIs;
computational, pathology, and gastroenterology teams jointly review outputs to prioritise clinically relevant signals. All
variant calls, methylomes, expression matrices, AI prediction, and metadata will be released through an open and intuitive
TumorMap portal.
Expected Outcomes and Impact.
The project will (i) reveal population-specific drivers and mutational processes, (ii) quantify the frequency of clinically
actionable biomarkers originally identified in Europeans, (iii) deliver image-based tools that offer low-cost, molecular
stratification and heterogeneity scoring, and (iv) provide a high-resolution evolutionary framework for EO versus LO CRC.
Collectively, these data will offer the first high-resolution portrait of the Chilean CRC and lay the groundwork for
ancestry-aware screening, diagnostic, and treatment strategies.

El presente proyecto propone estudiar las intrusiones de agua marina (SWI, por sus siglas en inglés) en la
localidad costera de Bucalemu, comuna de Paredones, Región de O’Higgins, con el objetivo de entender cómo
las variaciones del nivel del mar y la llegada de Ríos Atmosféricos afectan la salinidad de suelos y cuerpos de
agua costeros. Las SWIs constituyen un fenómeno en aumento debido al cambio climático y al alza sostenida
del nivel medio del mar, lo que impacta negativamente los recursos hídricos, la calidad del suelo y la
productividad agrícola.
El proyecto surge como una extensión del trabajo previo realizado en Pichilemu por la Universidad de
O’Higgins (proyecto URO RED21992), donde se evidenció un incremento en la conductividad eléctrica del
suelo y la salinidad del estero San Antonio, asociados a eventos de lluvias intensas y marejadas vinculadas a
Ríos Atmosféricos. Bucalemu, además de su importancia turística y pesquera, enfrenta presiones sobre su
acuífero, declarado en restricción por el Ministerio de Obras Públicas, lo que refuerza la necesidad de un
monitoreo científico del fenómeno.
Desde una perspectiva interdisciplinaria, la investigación combina la geofísica, la edafología y la hidrogeología.
La geofísica permitirá registrar las variaciones del nivel del mar y del estero mediante la técnica de
reflectometría interferométrica GNSS (GNSS-IR), una metodología innovadora y costo-efectiva que usa
señales satelitales para medir cambios de altura en cuerpos de agua. La edafología abordará los impactos de
la salinidad en el suelo mediante muestreos sistemáticos a diferentes profundidades, mientras que la
hidrogeología contribuirá a interpretar los procesos de mezcla entre agua dulce y salada.
Las hipótesis de trabajo plantean que las variaciones de marea y los Ríos Atmosféricos generan incrementos
de la conductividad eléctrica del suelo cerca de la desembocadura del estero, y que el impacto de las SWIs
disminuye tierra adentro. Los objetivos específicos incluyen medir simultáneamente niveles de mar y agua,
identificar y caracterizar Ríos Atmosféricos, analizar su relación con la salinidad del suelo, y realizar seminarios
de difusión científica en la comunidad.
La metodología contempla la instalación de dos estaciones GNSS y un sensor de conductividad eléctrica Teros-
12, junto a campañas de muestreo de suelo en invierno y verano. Los datos se complementarán con análisis
de series temporales y catálogos de Ríos Atmosféricos derivados del reanálisis ERA5. Asimismo, se realizarán
vuelos con dron para obtener modelos de elevación de alta precisión y determinar áreas vulnerables a
inundación marina.
El equipo de trabajo está liderado por el Dr. Raúl Valenzuela, experto en Ríos Atmosféricos y mediciones GNSS,
junto a la Dra. Claudia Rojas, especialista en edafología, y el Dr. Etienne Bresciani, con experiencia en
hidrogeología costera. La colaboración internacional incluye al Dr. Pierre Bosser (ENSTA Bretagne, Francia),
experto en GNSS-IR.
El proyecto contribuirá al manejo hídrico sostenible y la adaptación al cambio climático en la Región de
O’Higgins, fortaleciendo el conocimiento científico y la resiliencia costera mediante una aproximación
interdisciplinaria. Se espera que sus resultados sirvan como base para políticas públicas orientadas a la gestión
del borde costero y la protección de ecosistemas como el Humedal de Bucalemu.

El presente proyecto propone estudiar las intrusiones de agua marina (SWI, por sus siglas en inglés) en la
localidad costera de Bucalemu, comuna de Paredones, Región de O’Higgins, con el objetivo de entender cómo
las variaciones del nivel del mar y la llegada de Ríos Atmosféricos afectan la salinidad de suelos y cuerpos de
agua costeros. Las SWIs constituyen un fenómeno en aumento debido al cambio climático y al alza sostenida
del nivel medio del mar, lo que impacta negativamente los recursos hídricos, la calidad del suelo y la
productividad agrícola.
El proyecto surge como una extensión del trabajo previo realizado en Pichilemu por la Universidad de
O’Higgins (proyecto URO RED21992), donde se evidenció un incremento en la conductividad eléctrica del
suelo y la salinidad del estero San Antonio, asociados a eventos de lluvias intensas y marejadas vinculadas a
Ríos Atmosféricos. Bucalemu, además de su importancia turística y pesquera, enfrenta presiones sobre su
acuífero, declarado en restricción por el Ministerio de Obras Públicas, lo que refuerza la necesidad de un
monitoreo científico del fenómeno.
Desde una perspectiva interdisciplinaria, la investigación combina la geofísica, la edafología y la hidrogeología.
La geofísica permitirá registrar las variaciones del nivel del mar y del estero mediante la técnica de
reflectometría interferométrica GNSS (GNSS-IR), una metodología innovadora y costo-efectiva que usa
señales satelitales para medir cambios de altura en cuerpos de agua. La edafología abordará los impactos de
la salinidad en el suelo mediante muestreos sistemáticos a diferentes profundidades, mientras que la
hidrogeología contribuirá a interpretar los procesos de mezcla entre agua dulce y salada.
Las hipótesis de trabajo plantean que las variaciones de marea y los Ríos Atmosféricos generan incrementos
de la conductividad eléctrica del suelo cerca de la desembocadura del estero, y que el impacto de las SWIs
disminuye tierra adentro. Los objetivos específicos incluyen medir simultáneamente niveles de mar y agua,
identificar y caracterizar Ríos Atmosféricos, analizar su relación con la salinidad del suelo, y realizar seminarios
de difusión científica en la comunidad.
La metodología contempla la instalación de dos estaciones GNSS y un sensor de conductividad eléctrica Teros-
12, junto a campañas de muestreo de suelo en invierno y verano. Los datos se complementarán con análisis
de series temporales y catálogos de Ríos Atmosféricos derivados del reanálisis ERA5. Asimismo, se realizarán
vuelos con dron para obtener modelos de elevación de alta precisión y determinar áreas vulnerables a
inundación marina.
El equipo de trabajo está liderado por el Dr. Raúl Valenzuela, experto en Ríos Atmosféricos y mediciones GNSS,
junto a la Dra. Claudia Rojas, especialista en edafología, y el Dr. Etienne Bresciani, con experiencia en
hidrogeología costera. La colaboración internacional incluye al Dr. Pierre Bosser (ENSTA Bretagne, Francia),
experto en GNSS-IR.
El proyecto contribuirá al manejo hídrico sostenible y la adaptación al cambio climático en la Región de
O’Higgins, fortaleciendo el conocimiento científico y la resiliencia costera mediante una aproximación
interdisciplinaria. Se espera que sus resultados sirvan como base para políticas públicas orientadas a la gestión
del borde costero y la protección de ecosistemas como el Humedal de Bucalemu.

We investigate how rain-mediated mechanical processes influence the spread of pathogens under field conditions. While it is well established that water is a primary vector for bacterial movement between plants, few studies have examined the detailed hydrodynamic mechanisms involved, particularly in the context of leaf morphology, surface roughness, and microbial adhesion. This gap restricts our ability to develop predictive models and preventive strategies for managing rain-borne plant diseases.
The project’s general objective is to elucidate the coupling between raindrop impact dynamics and bacterial dispersal patterns on cherry leaves under realistic rainfall conditions. Specifically, it aims to (i) characterize the mechanical interaction between raindrops and cherry leaves using high-speed imaging and physical analysis to observe the dispersal patterns of Pseudomonas syringae pv. syringae (Pss). (ii) evaluate the spatial dispersal of Pss inoculated artificially onto cherry leaves at different concentrations under controlled temperature and rainfall conditions, and (iii) develop an integrative predictive model based on physical variables of rain-leaf interaction and experimentally measured environmental conditions to estimate the dispersal and severity of Pss attack.
Methodologically, our study combines high-speed photography, controlled laboratory rain simulations, and microbiological assays. We will perform experiments in a custom-designed rainfall simulator allowing precise control of droplet size, velocity, and impact angle. Bacterial suspensions of Pseudomonas syringae—a pathogen commonly associated with cherry canker—will be applied to leaves under standardized conditions. The dynamics of droplet impact, splash formation, and secondary droplet ejection will be recorded at high temporal resolution to quantify mechanical energy transfer and spatial distribution of splashed particles. Parallel microbiological analyses will determine bacterial survival rates, concentration profiles, and the extent of leaf-to-leaf contamination. We will integrate these results into a predictive model linking rainfall characteristics to potential bacterial dispersal distances and infection probabilities.
We aim to enhance our understanding of the biophysical coupling between rainfall and pathogen mobility, establish a set of empirical relationships for disease spread modeling, and provide practical recommendations for orchard management under varying climatic scenarios. By bridging the gap between plant pathology and fluid mechanics, this project will provide a mechanistic foundation for reducing rain-mediated bacterial diseases in high-value fruit crops, contributing to the sustainability and resilience of O’Higgins agriculture.

We investigate how rain-mediated mechanical processes influence the spread of pathogens under field conditions. While it is well established that water is a primary vector for bacterial movement between plants, few studies have examined the detailed hydrodynamic mechanisms involved, particularly in the context of leaf morphology, surface roughness, and microbial adhesion. This gap restricts our ability to develop predictive models and preventive strategies for managing rain-borne plant diseases.
The project’s general objective is to elucidate the coupling between raindrop impact dynamics and bacterial dispersal patterns on cherry leaves under realistic rainfall conditions. Specifically, it aims to (i) characterize the mechanical interaction between raindrops and cherry leaves using high-speed imaging and physical analysis to observe the dispersal patterns of Pseudomonas syringae pv. syringae (Pss). (ii) evaluate the spatial dispersal of Pss inoculated artificially onto cherry leaves at different concentrations under controlled temperature and rainfall conditions, and (iii) develop an integrative predictive model based on physical variables of rain-leaf interaction and experimentally measured environmental conditions to estimate the dispersal and severity of Pss attack.
Methodologically, our study combines high-speed photography, controlled laboratory rain simulations, and microbiological assays. We will perform experiments in a custom-designed rainfall simulator allowing precise control of droplet size, velocity, and impact angle. Bacterial suspensions of Pseudomonas syringae—a pathogen commonly associated with cherry canker—will be applied to leaves under standardized conditions. The dynamics of droplet impact, splash formation, and secondary droplet ejection will be recorded at high temporal resolution to quantify mechanical energy transfer and spatial distribution of splashed particles. Parallel microbiological analyses will determine bacterial survival rates, concentration profiles, and the extent of leaf-to-leaf contamination. We will integrate these results into a predictive model linking rainfall characteristics to potential bacterial dispersal distances and infection probabilities.
We aim to enhance our understanding of the biophysical coupling between rainfall and pathogen mobility, establish a set of empirical relationships for disease spread modeling, and provide practical recommendations for orchard management under varying climatic scenarios. By bridging the gap between plant pathology and fluid mechanics, this project will provide a mechanistic foundation for reducing rain-mediated bacterial diseases in high-value fruit crops, contributing to the sustainability and resilience of O’Higgins agriculture.

El proyecto “Cambio climático y economía: análisis de riesgos y soluciones para sectores estratégicos” busca fortalecer las capacidades regionales de la Macrozona para enfrentar los crecientes desafíos del cambio climático mediante la creación de una red internacional de cooperación científica.
La iniciativa se estructura en torno a tres ejes: la identificación y cuantificación de riesgos climáticos a nivel subregional, utilizando herramientas como imágenes satelitales, modelos de teoría de juegos y simulaciones; el análisis de cómo hogares, productores y gobiernos ajustan sus decisiones ; y el fortalecimiento de capacidades mediante pasantías internacionales, talleres, formación de estudiantes y la publicación de resultados.
Un componente central del proyecto es el intercambio de experiencias entre países en desarrollo, México, Brasil y Chile, que comparten desafíos estructurales como alta informalidad laboral, barreras en el acceso al crédito y vulnerabilidad territorial frente al cambio climático. Además, el proyecto pone un fuerte énfasis en la formación de capital humano, incorporando a tesistas de pregrado y posgrado en todas las etapas de investigación. Ellas/os participarán en actividades clave como diseño de modelos, recolección y análisis de datos, y redacción de informes, fortaleciendo sus competencias técnicas y su vinculación con redes internacionales. Se ofrecerán también un workshop y un taller, orientado a fortalecer las capacidades en temas de economía del cambio climático.
Participan la Universidad de O’Higgins y la Universidad de los Andes de Chile; y como socios internacionales el Banco Central de México y la Fundación Getulio Vargas de Brasil. Esta colaboración busca generar evidencia territorialmente situada para el diseño de planes de resiliencia agrícola, descentralizar la formación científica en Chile y consolidar una red duradera de investigación aplicada en economía del cambio climático con impacto regional y latinoamericano.

El proyecto “Cambio climático y economía: análisis de riesgos y soluciones para sectores estratégicos” busca fortalecer las capacidades regionales de la Macrozona para enfrentar los crecientes desafíos del cambio climático mediante la creación de una red internacional de cooperación científica.
La iniciativa se estructura en torno a tres ejes: la identificación y cuantificación de riesgos climáticos a nivel subregional, utilizando herramientas como imágenes satelitales, modelos de teoría de juegos y simulaciones; el análisis de cómo hogares, productores y gobiernos ajustan sus decisiones ; y el fortalecimiento de capacidades mediante pasantías internacionales, talleres, formación de estudiantes y la publicación de resultados.
Un componente central del proyecto es el intercambio de experiencias entre países en desarrollo, México, Brasil y Chile, que comparten desafíos estructurales como alta informalidad laboral, barreras en el acceso al crédito y vulnerabilidad territorial frente al cambio climático. Además, el proyecto pone un fuerte énfasis en la formación de capital humano, incorporando a tesistas de pregrado y posgrado en todas las etapas de investigación. Ellas/os participarán en actividades clave como diseño de modelos, recolección y análisis de datos, y redacción de informes, fortaleciendo sus competencias técnicas y su vinculación con redes internacionales. Se ofrecerán también un workshop y un taller, orientado a fortalecer las capacidades en temas de economía del cambio climático.
Participan la Universidad de O’Higgins y la Universidad de los Andes de Chile; y como socios internacionales el Banco Central de México y la Fundación Getulio Vargas de Brasil. Esta colaboración busca generar evidencia territorialmente situada para el diseño de planes de resiliencia agrícola, descentralizar la formación científica en Chile y consolidar una red duradera de investigación aplicada en economía del cambio climático con impacto regional y latinoamericano.