• Descripción: El programa “TRANSFERENCIA PLATAFORMA INTEROPERABLE, PARA EL MANEJO DE LISTAS DE ESPERA EN ÑUBLE” es presentado por la Universidad del Bío-Bío, región de Ñuble para ser desarrollado en un período de ejecución de 24 meses. Según datos de la sección de gestión de la demanda del Servicio Salud Ñuble, (2023) existen aproximadamente 67.998 consultas médicas en la región de Ñuble y 11.585 de listas de espera quirúrgicas, en este contexto el presente programa busca contribuir en forma oportuna a la estandarización e interoperabilidad de la sistematización de la información de las listas de espera; permitiendo transparentar la información de atención hacia los usuarios, con la implementación de visores interactivos, para su seguimiento y registro, a nivel Regional y Nacional. El programa considera como población objetivo toda la población inscrita en FONASA que se atiende en el Sistema Público, señalar que este está articulado con la ERD en su eje de Desarrollo Social Lineamiento 3.1

• Description: Autism spectrum disorders (ASD) are developmental disabilities caused by differences in the brain. People with ASD may also learn, move, or pay attention differently. It is important to note that some people without ASD may also have these symptoms. However, in people with ASD, these characteristics can make life very difficult. Recent reports have shown that cases of people with ASD have increased and Software Engineering is no stranger to this scenario. IT industries have reported that they have recently detected cases of professionals with ASD but have not known how to include them within the organization. On the other hand, universities have also increased their rate of students with ASD in computer science careers. However, there are few methodologies for including students with ASD in software development projects. Therefore, this project aims to identify, characterize and describe methods for including people with ASD in software development projects. Our main goal is to make software engineering more inclusive.

• Description: The project aims to develop a proposal for the digital transformation of the public transport management model and to provide a model of capacity gaps for Intelligent Transport systems that will allow the impact of public policies to be evaluated over time in order to be able to take the appropriate corrective measures. This will benefit not only the inhabitants of Greater Concepción who use public transport, but also all those who use the current transport system. The expected impacts in the short, medium and long term are related to the possibility that problems such as long waiting times to use public transport, feelings of insecurity in the public transport system, unintelligent payment systems, and lack of integration in the use of public transport, among others, could be solved as the proposed solutions are implemented.

• Description: We propose a new method that allows computer science to dynamically monitor elderly actimetry at home, through a multi-modal machine learning approach, using a series of non-invasive / non-intrusive sensors in order to detect early pathological physical activity and to predict temporal changes that could lead to mental or physical pathology.

• Description: This project’s objective is to apply artificial intelligence techniques (such as Deep Learning) to identify new information to support decision-making regarding treatments to combat lung cancer in Chile. Currently, we are working with demographic and genomic datasets of more than 2,000 Chilean patients.

• Description: The BV2 project aims to propose a monitoring system for wellbeing but also well-ageing working on the prevention, detection and monitoring using a System of the Systems (SoS) approach. The project partner already uses the IoT technologies and the BV2 platform will combine the different developed systems. The main originality of the project consists in the development of a virtual platform by combining the existing systems.

• Description: This project aims to create a comprehensive platform to monitor positive COVID patients in order to capture data on the evolution of symptoms and new symptoms presented by patients infected with the coronavirus. Additionally, the project considers the use of Big Data and Artificial Intelligence to identify symptom trends.

• Description: This project consists of translating health implementation and dissemination strategies into requirement elicitation techniques to detect and characterize the healthcare domain’s critical requirements. Additionally, it aims to define guidelines to support software providers in building high-quality software in clinical institutions.

TacPat4SS (Empirical comparison of tactics and patterns for building secure Systems). FONDECYT, March 2014 – March 2017 – contributor:.

• Description: Identify methodologies, techniques and other systematic approaches for building software secure systems, characterizing them according to the scientific evidence of its results and industrial adoption.