Automating and Democratizing Data Science

A SYNTH Research CampAfternoons of 2-3-4 February ’22

Data analysis is a complex process that requires a skilled data scientist. A typical analysis requires many different steps: Selecting the proper subset of data, pre-processing the data into the appropriate format (data-wrangling), determining the learning task, selecting the suitable algorithms, evaluating the result. Automated data science tries to democratize data analysis and make it more accessible to non-experts by automating these different steps as much as possible.

This event will shed light on this critical matter affecting us. SYNTH Research Camp is organized by the ERC AdG project SYNTH, which has been devoted to automating and democratizing data science. The program spans three afternoons (February 2nd, 3rd and 4th). Registration is free but mandatory (Register here).

The SYNTH Research Camp will consist of two parts (the second part is optional to follow):

  1. Keynote talks and Demos (2nd and 3rd of February) featuring key experts from the field of AI:

·         Tijl De Bie (Ghent University) — Automating data exploration

·         Holger Hoos (TU Delft) — Explorations into the crucible of AI: Learning and reasoning, flexibility and trust

·         Sumit Gulwani (Microsoft) — Program Synthesis for Data Wrangling

·         Luc De Raedt (KU Leuven) — On the Automation of Data Science

·         Luc De Raedt (KU Leuven) — From Probabilistic Logics to Neuro-Symbolic Artificial Intelligence

·         Hendrik Blockeel (KU Leuven) — Learning multi-directional functional models using MERCS

  1. [optional to follow] Hands-on Workshop & Poster Session (4th of February):

The hands-on session will consist of multiple demonstrations of the SYNTH software package designed to run on Microsoft Excel for automating data science.

Poster Session will consist of Poster Highlights (one-minute video presentation) and session. PhD students are highly encouraged to present their work.

More information can be found on KU Leuven’s website.


02 - 04 Feb 2022


13:00 - 19:00