The complexity of data makes it difficult to get the most out of it. The Millennium Institute Foundational Research on Data aims to study data in all its complexity, from theoretical to applied problems, ranging from the heterogeneity of sources, their volume and production rate, their distribution, privacy dilemmas and social implications, among many other current and urgent research topics in science of data. To know in depth about our research areas, click here or read the summary below.
A. Acquisition, Modeling, and Knowledge Extraction
Through this research line the IMFD aims to tackle issues related to the fundamental representation and structure of data.
B. Storage, Retrieval, and Privacy
The institute is studying the efficient implementation of data management and new analysis techniques.
C. Mining, Learning and Visualization
This area of the IMFD deals with the use of machines to mine patterns from legacy data and the presentation of the results in an intuitive manner.
D. Governmental Data Infrastructure
The main goal of this research line is to develop a technical platform for better exploiting available data in the public sphere.
E. Sociopolitical Effects of Data
In this area, the IMFD applies social data analytics to consider the human aspect of how data is generated and utilized.
