EpI-PUMA

    Quickly create your own predictive model focused on a prediction linked to a decision in a friendly environment where no specialist knowledge is required.

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    SPECIES

    SPECIES is an interactive tool for the analysis of ecological niches and the potential distribution of predicted species.

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    Proyecto 42

    It is a research project that was born from the need to learn more about the causes of Metabolic Syndrome (hypertension, dyslipidemia, diabetes / prediabetes, obesity) and overweight in Mexico.

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What is Chilam Lab?

Chilam lab aims at harvesting and integrating data from a wide spectrum of sources and disciplines. These data are the foundation of virtual laboratories that allow analysing data; simulate adaptive complex systems; and design virtual experiments to test hypotheses.


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News

Chilam Lab Decisions in a complex world

Academic communications on decision making and causal inference.

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Chilam Lab Social Transmission of Diabetes

Collaboration among researchers from the Center for Research in Policies, Population, and Health (CIPPS), the Faculty of Medicine, and the Center for Complexity Sciences (C3) at the National Autonomous University of Mexico (UNAM). Diabetes is examined within a conceptual framework that considers metabolic disease as a complex, multifactorial, and systemic problem, incorporating the social environment as one of its underlying causes.

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EPI-PUMA Use cases

The Covid-19 pandemic causes distress, human losses and economical crisis to all nations worldwide. After a year of the first patient infected with the SARS.CoV-2 coronavirus, in Wuhan China, 137 million people got infected and almost 3 million died by Covid-19 disease. Can we predict the risks of Covid-19? The Epidemiological Intelligence platform EpIPUMA can generate predictions trained on historical data that capture thousands of different conditions.

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Chilam Lab History

Chilam is a recent initiative, led by the C3 – Centro de Ciencias de la Complejidad of the Universidad Nacional Autónoma de Mexico, that unites several existing research projects that share both a common purpose – to apply a big-data and a machine learning-based approach to problems of high social impact – as well as […]

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Projects

conductome

Conductome

Research project that identifies and analyzes the causal relationships between factors that influence human behavior linked to obesity with the aim of building a mental model, which encompasses concepts such as beliefs, perception of oneself and the world.

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EPI-ESPECIES

EPI-SPECIES

EPI-SPECIES is a platform for eco-epidemiological studies that allow querying and analyzing geographical information on the causal agents of diseases (pathogens, vectors and reservoirs) and environmental variables like climate and land use.

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Project 42

In spite of a huge investment in both human and financial capital, the incidence of obesity and metabolic diseases, such as type 2 diabetes, is increasing worldwide. Although such diseases are rightly considered to be “complex”, the implications for how they should be studied and analyzed have not been fully appreciated. Their complexity is manifest […]

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EpI-PUMA

In short, a user will be able to quickly create their own predictive model focused on a prediction linked to a decision in a friendly environment where no specialized knowledge, neither modeling nor machine learning is required.

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SPECIES

SPECIES is an interactive tool for analyzing ecological niches and the potential distribution of species. Furthermore, it can be used to infer networks between species that can highlight potential interaction between species. SPECIES harbors information of 2 to 3 billion biological organisms distributed worldwide. This information represents a large source to understand biodiversity and its […]

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Members

For Chilam, collaboration and transdisciplinary knowledge is essential to address the challenges involved in the analysis and development of complex systems, which is why it integrates the talent of various entities and academic and governmental institutions, organizations and companies, as active members and collaborators.

Institutional collaboration

Financing