CfHA Events, Activities and Information for the Fall 2024 American Geophysical Union Meeting
This page lists events happening at the Fall 2024 meeting of the American Geophysical Union that are related to HelioAnalytics and Heliophysics Data Science. All times listed are Eastern U.S. Standard Time (ET).
Events
Town Hall Meetings:
Union and Education Sessions:
Sessions on Machine Learning and Data Science:
- SM11C - Artificial Intelligence (AI) for Scientific Discovery in Solar Wind and Earth Interaction | eLightning Monday, 9 December, 08:30-10:00
- SH13D - Prediction of Solar Transient Events Using Machine Learning | Poster Monday, 9 December, 13:40-17:30
- SM14A - Artificial Intelligence (AI) for Scientific Discovery in Solar Wind and Earth Interaction | Oral Monday, 9 December, 16:00-17:30
- SM21C - Artificial Intelligence (AI) for Scientific Discovery in Solar Wind and Earth Interaction | Poster Tuesday, 10 December, 08:30-12:20
- NG24A - Machine Learning for Space Weather | Oral Tuesday, 10 December, 16:00-17:30
- NG31C - Machine Learning for Space Weather | Poster Wednesday, 11 December, 08:30-12:20
- SA31D - Leveraging State-of-the-Art Models with Observational Data to Improve Simulations and Predictions from the Ground to Geospace | Poster Wednesday, 11 December, 08:30-12:20
Sessions on Open Science:
Other Sessions relevant to NASA Data Science:
CfHA Presentations
The following are presentations on data science and HelioAnalytics presented by our team members or affiliated partners.
Machine Learning and Knowledge Management:
- SM23B-2794 Neural Data Compression of Plasma Distributions for Space Weather Poster by D. da Silva et al; Tuesday, 10 December, 13:40-17:30
- SM23C-2815 Predicting atmospheric neutral density using random forest models Poster by A. Halford et al; Tuesday, 10 December, 13:40-17:30
- IN54B-10 INDUS: Effective and Efficient Language Models for Scientific Applications eLightning Presentation by A. Trivedi et al; Friday, 13 December, 16:00-17:30
- GP43B-3573 The science of space weather risk: Demonstrating frontier discovery of the geospace-power grid system with complexity science Poster by Ryan McGranaghan et al; Thursday, 12 December, 13:40 - 17:30
- NG24A-07 Prediction of High-Latitude Ionospheric Scintillation using Deep Learning Models Presentation by Umaa Rebbapragada et al; Tuesday, 10 December, 17:00-17:10
- NG32A-02 Network analysis of GIC in the US power grid Presentation by Lauren Orr et al; Wednesday, 11 December, 10:30 - 10:40
- SH13D-2955 Training Physics-Informed Neural Networks for Data-Driven Active Regions: Analysis and Lessons Learned Poster by N. Mathews et al; Monday, 09 December, 13:40 - 17:30
- SH31C-2611 Characterizing Parker Solar Probe Observed Wave Modulation near the Heliospheric Current Sheet with Audification and Machine Learning Poster by E. Hill, J. Verniero et al; Wednesday, 11 December, 08:30 - 12:20
- SM33A-2581 A machine learning-based model of ion fluxes in the low-altitude Earth’s Northern cusp using DMPS/SSJ data Poster by Gonzalo Cucho-Padin et al; Wednesday, 11 December, 13:40 - 17:30
- SM31A-02 A deep learning-based model of ion fluxes in the high-altitude Earth’s northern cusp using CLUSTER/CIS-CODIF data Presentation by Gonzalo Cucho-Padin et al; Wednesday, 11 December, 08:46 - 08:58
- SM33A-2580 Observational Evidence for the Relationships Between Cusp Ion-Energy Dispersion and Dipole Tilt / IMF By Poster by Daniel da Silva et al; Wednesday, 11 December, 13:40 - 17:30
Open Science:
Data Infrastructure, Heliophysics Digital Resource Library, and HelioCloud presentations
