DASH/IHDEA 2026

Session

Session 2

5 Oct 2026, 11:00

22. Linking Heliophysics Publications to Mission Data

Aidan Scharnikow, Mr Anthony Buonomo

05/10/2026, 11:00

Agentic AI and LLM Applications in Heliophysics

Talk

Heliophysics papers frequently reference mission data informally rather than through formal citations, leaving data usage often untracked. We have created a pipeline that uses large language models to automatically extract data references from heliophysics papers. These data references consist of missions, instruments, and observed time ranges. For instance, a paper may describe using...

46. Toward DOI-Based Mission Impact Tracking: An LLM Agent for SPASE Authorship Metadata

Dr Disha Sardana (Heliophysics Data and Modeling Consortium)

05/10/2026, 11:15

Agentic AI and LLM Applications in Heliophysics

Talk

Measuring the impact of a scientific mission depends on knowing when its data are used, by whom, and how often. For decades, DOIs have been used to track citations of authors' publications; a similar mechanism can make an observatory or instrument a citable resource that serves as a connection to the various outputs it produces. SPASE's observatory and instrument records could support this,...

9. An LLM-Agent Framework for Intelligent Scientific Data Discovery and Analysis at the National Space Science Data Center

Fuli Ma (National Space science center, Chinese Academy of Science)

05/10/2026, 11:30

Agentic AI and LLM Applications in Heliophysics

Talk

The rapid growth of space science missions has led to an unprecedented increase in scientific data, engineering documents, metadata, and software resources. Efficiently organizing these heterogeneous resources and enabling intelligent access have become critical challenges for modern scientific research. At the National Space Science Data Center (NSSDC)， Chinese Academy of Science, we are...

7. From Data Discovery to Idea Discovery: Papers, Workflows, and Agents as a New Layer for Madrigal

Enrique Rojas Villalba (Massachusetts Institute of Technology)

05/10/2026, 11:45

Agentic AI and LLM Applications in Heliophysics

Talk

Scientific databases increasingly need to support more than data access. They also need to help researchers interpret measurements, understand prior uses of the data, reproduce published analyses, and identify new ways to reuse archived observations. This talk describes ongoing work around the Madrigal database aimed at building this broader layer of support. I will first describe recent...

58. Semantic Applications of Madrigal Data

Ryan Cavanaugh (MIT Haystack Observatory)

05/10/2026, 12:00

Agentic AI and LLM Applications in Heliophysics

Talk

Since 1960, MIT Haystack Observatory has supported atmospheric and geospace research through long running observational programs and the Madrigal distributed database, which provides access to incoherent scatter radar, total electron content, Fabry Perot interferometer, and other datasets. These resources have contributed to a large scientific literature, but identifying relationships among...

72. LLM-Assisted Instrument Discovery in the Virtual Solar Observatory

Kaushal Patel (NASA/Columbus Technologies)

05/10/2026, 12:15

Agentic AI and LLM Applications in Heliophysics

Talk

The Virtual Solar Observatory (VSO) indexes instruments spanning X-ray through radio wavelengths, yet discovery remains largely keyword-dependent — requiring users to know provider names and instrument codes in advance. We present a prototype semantic search layer built on top of VSO that replaces exact-match lookup with embedding-based similarity search, enabling researchers to find relevant...