Impact Cases

Developing tools and technology to support some of Chile’s major public health problems

The interdisciplinary approach of the Complex Engineering Systems Institute (ISCI) has allowed us to address different public health problems with tools from Engineering, Artificial Intelligence, and Data Science, laying the foundations for the generation of public policies, supporting the practice of health personnel, and impacting the daily lives of patients. Here, we address three impact cases developed by Institute researchers:

The implementation of novel interventions to reduce the granting of unjustified sick leave

Over the last two years, the academics Pablo Celhay and Nicolás Figueroa, from the Markets, Organization and Regulation research line at the Complex Engineering Systems Institute (ISCI), carried out research aimed at analyzing the data of sick leave granted in Chile through the National Health Fund (Fonasa). Their research revealed two situations: Firstly, there are certain pathologies where a high

Collaboration with the Ministry of Energy to facilitate the decarbonization of the energy matrix with science-based regulation

With the aim of supporting the development of an energy matrix powered by 90% renewable energy by the year 2050, Rodrigo Moreno, researcher at Chile’s Complex Engineering Systems Institute (ISCI), and his team have collaborated with the Ministry of Energy in the different stages of this challenge for the nation. The first step was the joint design of a methodology

Supporting the Chilean Prosecutor’s Office with Artificial Intelligence in the investigation of crimes against property and the identification of criminal networks and their operating patterns

Researchers from the Data Science group of the Complex Engineering Systems Institute (ISCI) developed an advanced analytics system that supports Chile’s Prosecutor’s Office through two models, expediting criminal analysis. The first reconstructs social networks and links between people with criminal records. The second uses Artificial Intelligence to identify patterns in the modus operandi in property crime cases. By cross-referencing the

Developing Operations Research and Artificial Intelligence tools to prevent large-scale forest fires

The “Fire Management and Advanced Analytics” group of the Complex Engineering Systems Institute (ISCI) has taken on the challenge of developing optimization models and simulators with Machine Learning, capable of predicting where a fire is most likely to begin and where it will spread to determine concrete action that can reduce the loss of human and animal lives, as well

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