Overview
This summer, the University of Hawaii at Manoa’s Institute for Astronomy is hosting a workshop focused on time domain astronomy. This event aims to bring together data scientists and researchers interested in transient and variable phenomena in planetary systems. The workshop will provide a collaborative environment for discussion and research, making it a significant opportunity for those in the AI and astronomy fields.
Background & Relevance
Time domain astronomy is a crucial area of study that deals with the observation of astronomical events that change over time. This includes phenomena such as supernovae, variable stars, and transient events in planetary systems. The integration of machine learning techniques into this field allows for enhanced analysis and discovery, making it possible to identify anomalies and real-time events more effectively. As the field evolves, the collaboration between data science and astronomy becomes increasingly important, highlighting the relevance of this workshop.
Key Details
- Event Duration: 2-4 weeks
- Dates: Between June 1 and August 28, 2026
- Location: University of Hawaii at Manoa
- Topics Covered:
- Machine learning analysis tools
- Anomaly identification in archival data
- Real-time event identification
- Citizen science initiatives
- Studies on exocomets and asteroid collisions
- Occulting disks and rings
- Interstellar objects
- Funding: $700 air travel allowance and $800 per week stipend
- Application Form: Application Link
- Application Review Start Date: November 24, 2026
- Inquiries: epseta26@hawaii.edu
- Website: Workshop Website
Eligibility & Participation
This workshop is open to data scientists, machine learning practitioners, and researchers with an interest in astronomy. It targets individuals who are keen to explore the intersection of machine learning and astronomical phenomena, particularly those focused on transient and variable events.
Submission or Application Guidelines
To apply for participation in the workshop, interested candidates should complete the application form provided in the key details section. Applications will be reviewed starting on November 24, and those received after this date will be considered based on available space.
Additional Context / Real-World Relevance
The integration of machine learning in astronomy is a growing trend that enhances our understanding of the universe. Workshops like this one play a vital role in fostering collaboration between disciplines, enabling researchers to leverage advanced analytical techniques to tackle complex astronomical questions. As the field continues to advance, such initiatives will be essential for driving innovation and discovery.
Conclusion
This workshop presents a unique opportunity for professionals in the fields of data science and astronomy to collaborate and share insights. Interested individuals are encouraged to apply, explore the topics covered, and engage with fellow researchers in this exciting domain.
Category: Conferences & Workshops
Tags: astronomy, machine learning, data analysis, citizen science, planetary systems, variable phenomena, exocomets, interstellar objects
