Data Science FIC-UAI

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The "Data Science Group" of the Faculty of Engineering and Sciences does interdisciplinary research in data science, combining the expertise and experience of several researchers with different backgrounds, such as Computer Science, Computer Engineering, Artificial Intelligence, Statistics, Mathematics, and Astronomy and Astrophysics. Our main areas of research are:

  • Data Management and Data Analytics.
  • Machine Learning and Data Mining.
  • Knowledge Representation, Ontologies, and Knowledge Graphs.
  • Uncertainty Management in Data and Knowledge.
  • Statistical Methods in Data Science.
  • Biostatistics, Bioinformatics and Statistical Genetics.
  • Optimization Methods in Data Science.
  • Astronomical, Spatial and Satellite Data.

The Data Science Group gives support to the newly created "Master of Science in Data Science", which combines course work with a research-oriented thesis. We are about to start with a PhD Program in Data Science. We also offer a Professional Master in Data Science, as a form of continuing, executive education, mainly for working professionals.

News

August 19, 2021

The paper "Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for Classification" by Leopoldo Bertossi and Gabriela Reyes, student of our Master’s of Science in Data Science, has been accepted for presentation at the 1st International Joint Conference on Learning and Reasoning (IJCLR'21). Congratulations, Gabriela!

July 08, 2021

Prof. Leopoldo Bertossi has been nominated a member of Program Committee Board (PCB) of IJCAI 2022-24.

Jan. 14, 2021

Leopoldo Bertossi gave an invited presentation at the Data Science Seminar of the Universite Paris Decartes. The presentation can be found here.

Dec. 23, 2020

The paper "A kernel test for quasi-independence” by Tamara Fernandez (UAI), Wenkai Xu (UCL), Marc Ditzhaus (TU-Dortmund) and Arthur Gretton (UCL) was accepted for spotlight presentation (among top 4% of the submissions) at Neurips 2020.

Dec. 20, 2020

We received an invitation from Communications of ACM to write a research-highlight paper associated to the ICDT’20 paper "The Shapley Value of Tuples in Query Answering", by E. Livshits, L. Bertossi, B. Kimelfeld and M. Sebag.

More Details here.
Dec. 15, 2020

The BID-funded project "Oportunidades de mercado para las empresas de tecnología – compras públicas de algoritmos responsables, éticos y transparentes" on ethical, transparent, fair and explainable AI for the Public Sector and private solution suppliers was launched. Profs. Leopoldo Bertossi and Adrian Soto (UAI, FIC) participate in this project, together with the GobLab (UAI) and the BID Lab. The DS Group of the FIC has created a research group around these subjects. It includes faculty and graduate students.

Dec. 7, 2020

Prof. Leopoldo Bertossi was invited to participate at a Panel on "Algorithmic Recourse" in Explainable AI (XAI), held at the Neurips'20 Conference.

Dec. 2, 2020

The paper "The Tractability of SHAP-scores over Deterministic and Decomposable Boolean Circuits", by Marcelo Arenas, Pablo Barcelo, Leopoldo Bertossi, Mikael Monet, all of the IMFD, was accepted for presentation at the AAAI 2021 conference.

More Details here.

About Us

Researchers

Our Data Science group has more than 10 members involved in the fields of Statistics, Machine Learning, Artificial Intelligence, Data Mining and Data Management.

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Projects

Here you can find a list with some of our Research Projects.

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Education

He you can find more information about our Master of Science in Data Science.

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Data Science Seminar

We have a weekly seminar. Here you can find the details.

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