Data Science for Earth, Space and Environmental Sciences
This action (WP1) will exploit the huge potential of applying modern data analytics in ESES. It will overcome disciplinary and technical barriers and provide new statistical and computational approaches, in particular for data in astrophysics to better characterize exoplanets, in oceanography to better infer vertical exchange in the ocean, and in ecology to reconstruct interaction networks between species.
Carlos Gomez is a data scientist. In October 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Junior Researcher in Data Science for Earth, Space and Environmental Sciences
Raphael Bacher is a research engineer in signal processing and data science. In December 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Research Engineer to develop collaborative tools for data science teachers and researchers (WP1 & 2).
Activities
- Seminar: Credal sum-product networkson the December 12, 2018Cassio P. de Campos from University of Utrecht (Netherlands) will talk about "Credal sum-product networks". The event will take place on December 12 at 3 pm at INRIA Montbonnot Saint-Martin, room F107.
- Seminar: Optimization-based Sampling Approaches for Hierarchical Bayesian Inferenceon the December 3, 2018Tiangang Cui from Monash University (Melbourne, Australia) will talk about "Optimization-based Sampling Approaches for Hierarchical Bayesian Inference". The event will take place on December 3 at 2 pm at INRIA Montbonnot Saint-Martin, room F107.
- Call for proposals: Exchange programon the October 15, 2018The Grenoble Alpes Data Institute launches a call for international collaborations with Data Institutes.
- Focus on Redouane Lguensat and Machine Learning for Oceanographyon the October 15, 2018Redouane Lguensat works at the Institute of Environmental Geosciences (IGE) in the MEOM team (UMR of Grenoble Alpes University, IRD, Grenoble INP and CNRS). He is a Postdoc funded by the National Center for Space Studies (CNES) to work on the SWOT mission.
- Hien Nguyen from La Trobe University (Melbourne, Australia) will talk about "Minibatch and incremental learning of exponential family mixtures, and the soft k-means clustering problem". The event will take place on September 17 at 2 pm at INRIA Montbonnot Saint-Martin, room F107.
- Bayesian workshop: 2nd Italian-French Statistics Seminarfrom September 6, 2018 to September 7, 2018We are organizing a two-day Bayesian workshop in Grenoble in September 6-7, 2018. It will be the second edition of the Italian-French statistics seminar, titled this year: Bayesian learning theory for complex data modeling.
- Seminar: Machine learning and numerical models in geoscienceon the July 9, 2018The IGE is organizing a seminar about "Machine learning and numerical models in geoscience". It will take place on July 9th at 2pm at the IGE, Glaciologie building, on the campus of Grenoble.
- POSTPONED Data Institute Seminar: Learning & Ocean Big Dataon the May 23, 2018Due to strikes, the seminar is POSTPONED. Ronan Fablet (IMT Atlantique, Lab-STICC/TOMS) will give a talk on Learning & Ocean Big Data: data-driven modelling, analysis, and reconstruction of complex dynamical systems.
- Feedback and videos of the workshop "Data Science in the Alps"on the April 10, 2018The Grenoble Alpes Data Institute organized the workshop "Data Science in the Alps" on March 20, 2018. More than 90 persons attended the workshop that took place at the Stade des Alpes, Grenoble. We are looking forward for the 2019 session!
- Workshop: Data Science in the Alpson the March 20, 2018Grenoble Alpes Data Institute is pleased to organize the first “data science in the Alps” workshop. It will take place on March, 20th at the Stade des Alpes, salon sud-ouest.
- Pierre Borgnat from ENS Lyon will give a talk on “An invitation to Graph Signal Processing with Applications to Clustering”. The event will take place on Thursday 5 October at GIPSA-lab.
- Data Institute Seminar: co-clustering through optimal transport by Charlotte Laclau (LIG)on the September 21, 2017A novel method for co-clustering will be presented : an unsupervised learning approach that aims at discovering homogeneous groups of data instances and features by grouping them simultaneously.
- Call for projects - September 2017from September 18, 2017 to October 15, 2017The Grenoble Alpes Data Institute launches a call for 2-years research projects with applications of data sciences in Life Science or in Earth, Space, and Environmental Sciences.
- French speaking international conference on teaching statisticsfrom September 6, 2017 to September 8, 2017The fifth edition of the conference « Colloque Francophone International sur l’Enseignement de la Statistique » will take place in Grenoble from 6 to 8 September 2017.
- Meet-up event between Data scientists and domain scientistson the July 3, 2017On Monday July 3 from 09:00 to 14:00, come and meet scientists with complementary research topics
- Open seminars about reproducible researchfrom March 23, 2017 to March 30, 2017Arnaud Legrand (LIG) will start the open seminar series by giving a talk about reproducible research. Although reproducibility is one of the main principles of the scientific method, it has been shown that a substantial proportion of published research is not reproducible leading to the scientific 'crisis' of reproducibility.
Recruited
Carlos Gomez is a data scientist. In October 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Junior Researcher in Data Science for Earth, Space and Environmental Sciences
Raphael Bacher is a research engineer in signal processing and data science. In December 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Research Engineer to develop collaborative tools for data science teachers and researchers (WP1 & 2).