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Human Data Science (HDS)

Colloquium

Jeanine Houwing-Duistermaat: Partial Least Square methods for omics data sets.

Thursday 20/09/2018 at 15:00 in room B1.09   You can now find Jeanine’s ppt here. The new academic year has started and so will the MSDSlab meetings. Kicking of is professor Jeanine Houwing-Duistermaat, Chair in Data Analytics and Statistics of the School of Mathematics in the University of Leeds who will present on Partial Least Square methods…

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21/06/2018: Recursion

Thank you Erik-Jan for the interactive and last MSDSlab of this academic year. Erik-Jan’s presentation can be found here. The MSDSlab meetings will be back in September.   Original post: The next MSDSlab meetings will be next week Thursday and will be presented by Erik-Jan van Kesteren of Utrecht University.  He will  provide a brief overview…

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Lianne Ippel: Learning from Partitioned Data

Monday 11/06/2018 at 15:00 in room B1.09 The next MSDSlab meetings will be on Monday (Instead of Thursday) the 11th of June and will be presented by Lianne Ippel from Maastricht University. Lianne will present on two themes within the topic of learning from partitioned data. Row-by-row (streaming) learning (horizontal) and Privacy preserving machine learning  (vertical). Preparation:…

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31/05/2018: Crowdsourcing for Medical Image Analysis

Thank you again to Veronika and everyone who was present. Veronika’s PPT can now be downloaded here. Had a great time talking about crowdsourcing in medical imaging at MSDSLAB at @MS_Utrecht today! Thanks Laurent Smeets for the invite! — Veronika Cheplygina (@vcheplygina) May 31, 2018 Original post: Thursday 31/05/2018 at 15:00 in room B1.09 The next…

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24/05/2018 – Grand Challenge Design for Medical Image Analysis – Sharing Data, Metrics and Ground Truth for Algorithm Evaluation

Adriënne’s PPT can now be found here: Talk MSDSlab on grand challenges – AM Mendrik. Thursday 24/05/2018 at 15:00 in room A.308   Adriënne Mendrik of the Netherlands eScience Center will give a presentation on Grand Challenge Design for Medical Image Analysis.  This meeting will be held at a slightly different location than usual at Sjoerd Groenmangebouw A3.08.  Preparation: Have a look at …

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17/05/2018 – Better predictions using big(ger) data sets

Thursday 17/05/2018 at 15:00 in room B1.09 Thomas Debray from the UMCU  will host the next MSDSlab. He will discuss how we can investigate, quantify and improve the generalizability of prediction models by utilizing big datasets from e-health records or meta-analyses with individual participant data. Preparation: Have a look at the  background readings Abstract Clinical prediction…

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03/05/2018 – Digital Humanities and Text Mining: Stylistic and Intertextual Analysis of Large Corpora

Paul’s presentation and code can now be found the MSDSlab Github page.  Original post: Thursday 03/05/2018 at 15:30 in room B1.09 Paul Vierthaler, a university lecturer at Leiden University in the Digital Humanities,  will discuss the methodological approaches he takes in his research on late Imperial Chinese literature. Paul studies the relationships among historical and fictional…

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26/04/2018 – Visualizing (not so) Big Data

Meys’ slides are now available here. Original post: Thursday 26/04/2018 at 15:00 in room A3.17 Wouter Meys, of the Amsterdam based Citizen Data Lab will give a talk on data visualization.  The Citizen Data Lab consists of ‘interdisciplinary teams of researchers, programmers, and designers working on the mapping of urban issues. They develop tools and methods for participatory data collection,…

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13/04/2018 – Finding joint and specific sources of variation in linked high-dimensional data

A small GitHub Repository with the R code and PPT used by Katrijn van Deun at the last MSDSlab session can be found at the MSDSlab GitHub page or at: https://github.com/msdslab/MSDS-13-04-2018-RSCA Original post: Friday 13/04/2018 at 15:30 in room B1.09   After the  high-dimensional data symposium, Katrijn van Deun of Tilburg University, will give an interactive talk on ‘Finding…

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22/03/2018 – Hidden Markov Models

Here you can find the slides of Emmeke’s talk   Original announcement: Thursday 22/03/2018 at 15:00 in room B1.09 In this meeting, Emmeke will introduce us to Hidden Markov Models. The HMM is a very flexible model and as such is applicable to a wide variety of longitudinally collected data. For example, one can extract student behaviour states…

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