Keynote speakers

How to Audit an Analysis on a Federative Data Exchange

[introductory/intermediate] Data Fusion for Remotely Sensed Data

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

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

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

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

[intermediate/advanced] Differential Privacy

[introductory/advanced] Big Data in Biomedical Sciences

[introductory/intermediate] Graph Signal Processing and Geometric Learning

[intermediate/advanced] Data Analytics for Massive Networks

[introductory/intermediate] Network-Based Health Analytics

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

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

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

[intermediate] Supervised Descriptive Pattern Mining