Data Science Lab

The Data Science Lab main purpose is to contribute with proposals and solutions to the challenges posed by the new knowledge society through the analysis and modeling of complex data. The aim is to respond to society’s real demands, optimize processes, and find evidence-based solutions to high-impact issues.

Develop research projects in data science linked to the development of mathematical models and methods for the analysis and modeling of complex data in the fields of neuroscience, biology, ecology, and economics.

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Model and describe prioritized problems, outline diagnoses regarding their origin, and develop probable scenarios that can be evaluated as potential interventions for public policy. The problems will be prioritized considering their social impact scale, the availability and quality of representative data, and other institutions previous approaches.

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Data Analysis and modeling for decision-making. The aim is to optimize processes and procedures within organizations and understand behavior patterns. We prioritize projects that entail a significant social impact.

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The growing and exponential availability of information assets, coupled with accelerating technologies regarding storage, processing, and data analysis has given rise to the creation of data-based knowledge. The data-driven approach, while providing the opportunity to analyze problems from a different perspective, enables the generation of proposals that were previously unattainable. Consequently, new opportunities arise for both applied and theoretical research and their corresponding transfer to the public and private sectors, creating unique conditions to inform and transform our society.

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The Data Science Lab is an experimental, developmental, and pivotal study laboratory aimed at expanding the application of data science methods and facilitating interdisciplinary collaboration in research.

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We analyze data and model solutions using the most efficient techniques for each prioritized problem.

Through statistical and computational techniques we seek relevant patterns in data.

We develop artificial intelligence predictive algorithms to model complex data.

Development of diverse techniques for representing data statically and interactively.

We develop methodologies and algorithms for modeling complex networks and discovering interactions.

We develop tools to optimize problem resolution in diverse areas such as coordination and revenue management.

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New tools and business models are constantly being developed based on the ability to extract knowledge and information from data. Creating value through insightful data analysis or appropriate mathematical modeling becomes an essential component in all organizations.

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Theoretical Advances in Complex Data Modeling and Analysis.

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For further information, please write to <a href="mailto:datalab@udesa.edu.ar">datalab@udesa.edu.ar</a>

Buscador UdeSA

Data Science Lab

Specific Objectives

Unprecedented opportunities

The Data Science Lab is an experimental, developmental, and pivotal study laboratory aimed at expanding the application of data science methods and facilitating interdisciplinary collaboration in research.

Research Techniques

01 Data Analytics

02 Machine Learning

03 Data Visualization

04 Complex Networks

05 Optimization

Master’s in data science

Master’s in data science

Master’s in data science

Addressing high-impact problems and creating knowledge through data-based evidence.

Data Science Lab´s team

Knowledge Transfer and Collaboration

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UdeSA - Universidad de San Andrés

Comunidad Ampliada San Andrés: