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A few times throughout the academic year, we meet either on a larger-scale (hackathons) or on a smaller-scale (mini-labs) to explore/analysis public neuroimaging datasets and/or improve neuroimaging resources (e.g., tutorial creation, code snippets or scripts, software development). These are typically informal, low-pressure gatherings aimed at improving skills and increasing research productivity. No coding experience required!Our programs aim to promote scientific collaboration and education in an open, inclusive environment. Our goals are outlined in this community paper: Brainhack: developing a culture of open, inclusive, community-driven neuroscience. (Neuron, 2021)
The hackathon was a Shark Tank-style competition conceived by Diversity Lab in partnership with Stanford Law School and Bloomberg Law. Bloomberg contributed cash prizes for the three winning ideas, with the funds donated to nonprofit organizations helping to advance women in the legal profession and beyond.
While experimenting is good, we should keep in mind that the methods we test, if succesful, may end up in our production pipeline. That is why we should consider our methods from a production point of view (i.e, my method augments performance 10% but it is 5x slower than the existing solution plus it adds another library/misterious-hack layer to the current stack). 2b1af7f3a8