BigDat 2023 Summer
7th International School
on Big Data
Las Palmas de Gran Canaria, Spain · July 17 - 21, 2023
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  • Call Bigdat 2023 Summer
  • Poster BigDat 2023 Summer
  • Lecture Materials
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    • Accommodation
    • Code of conduct
    • Visa
  • Home
  • Schedule
  • Lecturers
  • Sponsoring
  • News
  • Info
    • Accommodation
    • Code of conduct
    • Visa
KEYNOTES

Keynote speakers

Valerie Daggett

Valerie Daggett

University of Washington
Dynameomics: From Atomistic Simulations of All Protein Folds to the Discovery of a New Protein Structure to the Design of a Diagnostic Test for Alzheimer’s Disease
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Sander Klous

Sander Klous

University of Amsterdam

How to Audit an Analysis on a Federative Data Exchange

Read more
SPEAKERS

Professors and Courses

paolo-addesso

Paolo Addesso

University of Salerno

[introductory/intermediate] Data Fusion for Remotely Sensed Data

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Marcelo Bertalmío

Marcelo Bertalmío

Spanish National Research Council

[introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks

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gianluca-bontempi

Gianluca Bontempi

Université Libre de Bruxelles

[intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference

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Altan Çakır

Altan Çakır

Istanbul Technical University

[introductory/intermediate] Introduction to Big Data with Apache Spark

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Ian Fisk

Ian Fisk

Flatiron Institute

[introductory] Setting Up a Facility for Data Intensive Science Analysis

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ravi-kumar

Ravi Kumar

Google

[intermediate/advanced] Differential Privacy

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wladek-minor

Wladek Minor

University of Virginia

[introductory/advanced] Big Data in Biomedical Sciences

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José M.F. Moura 2

José M.F. Moura

Carnegie Mellon University

[introductory/intermediate] Graph Signal Processing and Geometric Learning

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panos-pardalos

Panos Pardalos

University of Florida

[intermediate/advanced] Data Analytics for Massive Networks

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ramesh-sarda

Ramesh Sharda

Oklahoma State University

[introductory/intermediate] Network-Based Health Analytics

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steven-skiena

Steven Skiena

Stony Brook University

[introductory/intermediate] Word and Graph Embeddings for Machine Learning

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Mayte Suarez-Farinas

Mayte Suarez Farinas

Icahn School of Medicine at Mount Sinai

[intermediate] Meta-Analysis Methods for High-Dimensional Data

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Ana Trisovic

Ana Trisovic

Harvard University

[introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science

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sebastian-ventura

Sebastián Ventura

University of Córdoba

[intermediate] Supervised Descriptive Pattern Mining

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BigDat 2023 Winter

CO-ORGANIZERS

Universidad de Las Palmas de Gran Canaria

Universitat Rovira i Virgili, Tarragona

Institute for Research Development, Training and Advice – IRDTA, Brussels/London

Active links
  • DeepLearn 2023 Summer – 10th International Gran Canaria School on Deep Learning
  • DeepLearn 2023 Spring – 9th International School on Deep Learning
Past links
  • BigDat 2020
  • BigDat 2019
  • BigDat 2018
  • BigDat 2017
  • BigDat 2016
  • BigDat 2015
© IRDTA 2023. All Rights Reserved.
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