Projects Information Day 2022

By
Swiss Data Science Center
June 1, 2022
Share this post

Collaborative Project Information Day 2022

The goal of the SDSC Collaborative Projects is to help researchers and domain experts leverage the state-of-the-art in data science and at the same time, aim to support the application of techniques developed in research labs working on data science methods to real-world scenarios. The scope of these Collaborative Data Science Projects is representative of the diversity of the research undertaken within the ETH Domain.

In 2022, 14 projects were accepted in the main track, three projects in the Large Scale Infrastructure (LSI) track, and another three projects were co-funded with the Strategic Focus Area on Personalized Health and Related Technologies (PHRT). To learn more about PHRT, click here.

This webinar starts with a presentation of the 6th call. Then, the projects from the 5th call are presented individually.

Replay

  • 00:00 - Presentation of the 6th Call
  • 59:23 - EXPECTmine | Mining Toxicity and High-Resolution Mass Spectrometry Data for Linking Exposures to Effects.
  • 62:10 - ML-SPOCK | Machine Learning Supported system for Performance assessment of steel structures under extreme Operating Conditions and management of risK.
  • 1:04:10 - PHENOMINE | Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field.
  • 1:07:00 - DAAAD_Bridges | Domain-aware-AI Augmented Design of Bridge Structures.
  • 1:09:26 - WATRES | A Data-Driven approach to estimate WATershed RESponses.
  • 1:11:25 - CHEMSPEC | Cost-effective chemical speciation monitoring of particulate matter air pollution.
  • 1:13:35 - PAIREDHYDRO | Machine learning for the components fatigue prediction in hydropower generation.
  • 1:16:55 - DATSSFLOW | Data Science and Mass Movement Seismology: Towards the Next Generation of Debris Flow Warning.
  • 1:19:26 - ML Fusion | Machine Learning for Disruption Prediction in Tokamaks.
  • 1:21:53 - DS4MS | LSI Track | Data Science for Multiplexing Spectrometers.
  • 1:24:04 - LAMP | LSI Track | Lensless Actinic Metrology for EUV Photomasks.
  • 1:26:45 - sc_Drug | co-funded with PHRT | Predictive models of cell type drug sensitivity in Acute Myeloid Leukemia.
  • 1:30:01 - CLIMIS4AVAL | LSI Track | Real-time cleansing of snow and weather data for operational avalanche forecasting.
  • 1:32:08 - DrSCS | co-funded with PHRT| Predicting subclonal drug response from single-cell sequencing for precision oncology.

Speakers

Presentation of the 6th call

  • Dr. Guillaume Obozinski
  • Prof. Fernando Perez-Cruz
  • Dr. Michele Volpi
  • Dr. Ekaterina Krymova
  • Dr. Benjamín Béjar

EXPECTmine

  • Prof. Dr. Juliane Hollender

ML-SPOCK

  • Prof. Dr. Dimitrios Lignos

PHENOMINE

  • Prof. Dr. Achim Walter

DAAAD_Bridges

  • Dr. Ing. Michael Kraus

WATRES

  • Dr. Paolo Benettin

CHEMSPEC

  • Dr. Satoshi Takahama

PAIRED-HYDRO

  • Dr. Elena Vagnoni

DATSSFLOW

  • Dr. Fabian Walter

ML Fusion

  • Dr. Olivier JL Sauter

DS4MS

  • Dr. Daniel Gabriel Mazzone

LAMP | LSI Track

  • Dr. Iacopo Mochi

sc_Drug | co-funded with PHRT

  • Prof. Dr. Didier Trono

CLIMIS4AVAL | LSI track

  • Prof. Dr. Jürg Schweizer

DrSCS | co-funded with PHRT

  • Alexandre Coudray

About the author

Share this post

More blog posts

October 25, 2023

Computerworld | AI predicts avalanche danger [In German]

Computerworld | AI predicts avalanche danger [In German]

The AI project "DEAPSnow" takes avalanche forecasting to a whole new level.
Articles about the SDSC
November 30, 2023

A simple dashboard facilitates the work of parliamentary services

A simple dashboard facilitates the work of parliamentary services

The SDSC has developed a dashboard with which parliamentary services can calculate the composition of the committees of the National Council.
Our News
February 28, 2023

DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

Optoacoustic imaging is a new, real-time feedback and non-invasive imaging tool with increasing application in clinical and pre-clinical settings. The DLBIRHOUI project tackles some of the major challenges in optoacoustic imaging to facilitate faster adoption of this technology for clinical use.
Blog

More news

December 21, 2018

A trip through Swiss politics and history

A trip through Swiss politics and history

Our aim is to create a database of who said what and when in both chambers of the Swiss parliament over the past 127 years. The Swiss Federal Archives recently carried out the digitalization of the proceedings of both the National Council and the Council of States. Thanks to these efforts, we can now openly access over 40,000 documents pertaining to all votes, speeches, laws, amendments to laws, etc., from 1891 to the present day.
Blog
January 15, 2020

The Swiss Data Custodian | Part 1: a necessary concept in the field of data privacy

The Swiss Data Custodian | Part 1: a necessary concept in the field of data privacy

It is vital to design services and analytics that enable individual privacy protection and self-determination over their data, in such a way that enhances data synergy and empower weaker parties to access and consume data in a fair and responsible way.
Blog

Contact us

Let’s talk Data Science

Do you need our services or expertise?
Contact us for your next Data Science project!