Scientific Calendar Event



Description

This is a hybrid meeting


This workshop aims to foster Space Weather research through the application of Machine Learning (ML) and statistical techniques by providing the participants with theoretical and practical training on Space Weather and Machine Learning fundamentals, with hands-on tutorials.

The complex and highly coupled Sun-Earth system is constantly being monitored by ground and space-based instrumentation which produces a huge amount of daily data. These datasets, in addition to the increasing computing capability, are regularly used to produce forecasting models and other Space Weather products. In particular, Space Weather data analysis and modeling using ML techniques are showing promising results.

The purpose of the workshop is to give theoretical and tailored practical training on Machine Learning fundamentals, its application to Space Weather and future prospects, covering also important topics like Research to Operations (R2O), explainable Artificial Intelligence (XAI) and trustworthiness and ethics.

Participation

A limited number of grants are available to support the attendance of selected participants, with priority given to participants from Latin America and other developing countries.  There is no registration fee.

Female candidates are encouraged to apply.

Applicants can submit a ‘Research Abstract’. A small number of abstracts may be selected for a contributed talk.

Deadline for Applications:

4 September, 2022 - for participation in presence.

30 September, 2022 - for online attendance only.


Go to day
  • Monday, 7 November 2022
    • 12:00 - 20:00
      • 12:00 REGISTRATION 1h0' ( CONAE (Buenos Aires, Argentina) )
      • 13:00 Welcome and Opening Remarks 30'
        Material: Slides
      • 13:30 The Role of Sun in Space Weather 40'
        Speaker: Nat Gopalswamy (NASA (USA))
        Material: Slides
      • 14:10 Coffee Break 20'
      • 14:30 Developing Space Weather Indices for Latin America: Magnetic and Ionospheric Scales 40'
        Speaker: Clezio Denardin (INPE (Brazil))
      • 15:10 Ionosphere variations 40'
        Speaker: Sandro Radicella (Boston College (USA))
        Material: Slides
      • 15:50 Classifying Radio Wave Distortions 40'
        Speaker: Keith Groves (Boston College (USA))
      • 16:30 Lunch 1h30'
      • 18:00 Hands-on session 2h0'
        Speaker: Jorge Namour (FACET-UNT (Argentina))
  • Tuesday, 8 November 2022
    • 13:00 - 22:00
      • 13:00 Machine Learning Fundamentals 1h0'
        Speaker: Maria G. Molina (FACET-UNT (Argentina))
        Material: Slides
      • 14:00 Coffee Break 30'
      • 14:30 State of the art and open challenges of Machine Learning in Space weather 1h0'
        Speaker: Enrico Camporeale (CIRES, University of Colorado, Boulder/NOAA (USA))
        Material: Slides
      • 15:30 Classification of interplanetary structures near Earth and their impact on space weather conditions 40'
        Speaker: Sergio Dasso (UBA-CONICET (Argentina))
      • 16:10 Characterizing the Meteoroid Environment 20'
        Speaker: Diego Janches (NASA (USA))
        Material: Slides
      • 16:30 Lunch 1h30'
      • 18:00 Hands-on session 2h0'
        Speaker: Jorge Namour (FACET-UNT (Argentina))
      • 20:00 Welcome Icebreaker 2h0'
  • Wednesday, 9 November 2022
    • 13:00 - 20:00
      • 13:00 Natural Language AI for Forecasting Ionosphere by Analogy: Concept Study 30'
        Speaker: Ivan Galkin (University of Massachusetts Lowell (USA))
        Material: Slides
      • 13:30 Specification and forecasting ionospheric total electron content (TEC) using advanced statistical and machine leaning methods 30'
        Speaker: Shasha Zou (University of Michigan (USA))
      • 14:00 Coffee Break 30'
      • 14:30 Deep Learning fundamentals 1h0'
        Speaker: Maria G. Molina (FACET-UNT (Argentina))
        Material: Slides
      • 15:30 Toward automatic detection of travelling ionospheric disturbances (TIDs) of different origins in near-real-time 30'
        Speaker: Elvira Astafayeva (IPGP (France))
      • 16:00 Using Clustering Techniques to Classify Secondary Particle Contributions in Water Cherenkov Detectors of the LAGO Collaboration 30'
        Speaker: Ticiano Torres-Peralta (FACET-UNT (Argentina))
      • 16:30 Lunch 1h30'
      • 18:00 Hands-on Session 2h0'
        Speaker: Jorge Namour (FACET-UNT (Argentina))
        Material: Slides
  • Thursday, 10 November 2022
    • 13:00 - 03:15
      • 13:00 Transferable Lessons Learnt at the Interface of AI and NanoBio Technology 30'
        Speaker: Natalio Krasnogor (Newcastle University (UK))
      • 13:30 Tools for tracking code, data and metrics in ML environment 30'
        Speaker: Jorge Namour (FACET-UNT (Argentina))
      • 14:00 Coffee Break 30'
      • 14:30 AfriTEC: A neural network based model of the African regional ionospheric Total Electron Content 30'
        Speaker: Daniel Okoh (NARSDA (Nigeria))
        Material: Slides
      • 15:00 On performance assessment of machine learning-based GNSS ionospheric delay correction model based on space weather predictors in immediate positioning environment 30'
        Speaker: Renato Filjar (University of Rijeka (Croatia))
        Material: Slides
      • 15:30 Ionosphere forecasting for space weather using deep learning 30'
        Speaker: Maria G. Molina (FACET-UNT (Argentina))
      • 16:00 Clustering of ROTI maps for ionospheric irregularities geolocation 30'
        Speaker: Yenca Migoya-Orué (ICTP (Italy))
        Material: Slides
      • 16:30 Lunch 1h30'
      • 18:00 Hands-on Session 45'
        Speaker: Jorge Namour (FACET-UNT (Argentina))
      • 01:00 Dinner (TBC) 2h15'
  • Friday, 11 November 2022
    • 13:00 - 20:40
      • 13:00 Software Development for Machine Learning 30'
        Speaker: Pablo Alcain (WTPC (Argentina))
        Material: Slides
      • 13:30 Machine Learning for the Physical Sciences: Importance of Explainability and Ethical Data Use 30'
        Speaker: Maria J. Molina (University of Maryland (USA))
      • 14:00 Coffee Break 30'
      • 14:30 Introduction to Bayesian stats, with Python & PyMC 1h0'
        Speaker: Alex Andorra (PyMC Labs (France))
        Material: Slides
      • 15:30 ICG Development and its Activities” 20'
        Speaker: Sharafat Gadimova (UNOOSA (Austria))
        Material: Slides
      • 15:50 Participants Presentations 40'
        Speaker: Selected Participants
        Material: Slides
      • 16:30 Lunch 1h30'
      • 18:00 Hands-on Session 2h0'
        Speaker: Felipe Meza-Obando (Tecnologico de Costa Rica (Costa Rica))
      • 20:00 Event Closure 40'
        Material: Slides