papers

Publications (7)

astro-ph.IM2024

AstroInformatics: Recommendations for Global Cooperation

Ashish Mahabal, Pranav Sharma, Rana Adhikari +45

Policy Brief on "AstroInformatics, Recommendations for Global Collaboration", distilled from panel discussions during S20 Policy Webinar on Astroinformatics for Sustainable Develop…

astro-ph.IM2017

Collaborative workspaces to accelerate discovery

Bernard Meade, Christopher Fluke, Jeff Cooke +13

By applying a display ecology to the {\em Deeper, Wider, Faster} proactive, simultaneous telescope observing campaign, we have shown a dramatic reduction in the time taken to inspe…

astro-ph.IM2024

Global Data in Astronomy: Challenges and Opportunities

Renee Hložek, Chenzhou Cui, Mark Allen +7

Policy Brief on "Global Data in Astronomy: Challenges and Opportunities", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astro…

astro-ph.IM2024

How Do Observational Astronomers Learn to Inspect Imaging Data

Hugo Walsh, Christopher Fluke, Sara Webb +1

Astronomy is entering an unprecedented era of data collection. Upcoming large surveys will gather more data than ever before, generated at rates requiring real-time decision making…

astro-ph.IM2012

Astronomy and Computing: a New Journal for the Astronomical Computing Community

Alberto Accomazzi, Tamás Budavári, Christopher Fluke +5

We introduce \emph{Astronomy and Computing}, a new journal for the growing population of people working in the domain where astronomy overlaps with computer science and information…

astro-ph.IM2025

A Machine Learning empowered search for Sub-Minute Optical Transient Events with the Deeper, Wider, Faster programme

Simon R. Goode, Sara A. Webb, Jeff Cooke +12

Optical transient surveys continue to generate increasingly large datasets, prompting the introduction of machine-learning algorithms to search for quality transient candidates eff…

cs.CV2025

A Lightweight Large Vision-language Model for Multimodal Medical Images

Belal Alsinglawi, Chris McCarthy, Sara Webb +2

Medical Visual Question Answering (VQA) enhances clinical decision-making by enabling systems to interpret medical images and answer clinical queries. However, developing efficient…