This summer, 90 attendees gathered from universities across the world to take part in NeuroHackademy on its 10th anniversary. With support from the eScience Institute and the National Institute of Mental Health, this 2-week workshop, hosted at the University of Washington in Seattle, taught participants about technologies used to analyze neuroscience data and how to make their analysis and results shareable as well as reproducible. During the first week, attendees learned about data science and neuroimaging topics such as Python, GitHub, machine learning, and specific neuroscience software tools. These lessons were accompanied by lectures on developing topics, networking events, and discussions of the culture of academic neuroscience and the neuroscience career landscape.

As NeurHackademy moved into its second week, attendees formed groups and worked on focused hack projects across a range of topics. The hack projects this year included work on deep learning to predict brain function from brain structure, the development of a neuroimaging data quality assessment resource for neuroscientists, analyses of network activity in human face recognition pathways, and an artistic short film about neuroscience.  Perhaps most importantly, attendees embraced the culture of Seattle by adopting Jimothy the raccoon as NeuroHackademy 2026’s unofficial mascot.

A full list of all hack projects and links to documentation can be found in the NeuroHackademy 2026 projects repository. Additionally, you can head to the NeuroHackademy 2026 playlist on the eScience YouTube channel to watch the final presentations of each project and several instructor lectures.