Every year, thousands of neuroscientists descend on a single city for the annual meeting of the Organization for Human Brain Mapping (OHBM). They come from functional MRI labs, EEG labs, computational groups, clinical teams and software projects, united by a shared interest in one of the hardest problems in science. And every year, most of them see only a small slice of what is presented there: With more than 3,000 abstracts spread across four or five days, navigating OHBM has always been as much a matter of luck as strategy.
Satrajit “Satra” Ghosh, a principal research scientist at the Massachusetts Institute of Technology’s McGovern Institute for Brain Research, has been thinking about this problem for a long time. His group, the Senseable Intelligence Group, works at the intersection of machine learning, brain imaging and mental health—but Ghosh is perhaps equally known for the community infrastructure he has helped build over the years: data repositories, analytical pipelines, and now, the OHBM Abstract Atlas.
