Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

Abstract

Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment. This NeuroView describes the myriad benefits for participants and the research community and how Brainhacks complement conventional formats to augment scientific progress.

Recent Technical Advances in Accelerating the Clinical Translation of Small Animal Brain Imaging: Hybrid Imaging, Deep Learning, and Transcriptomics

“…The open sharing of neuroimaging research data is critical to promote the reproducibility of scientific findings ( 187 , 188 ). Large international initiatives in human brain imaging data sharing, such as ADNI ( 189 ), OpenNeuro ( 190 ), the human connectome project ( 191 ), and OASIS ( 192 ), have greatly facilitated the advancement of the research field.…”

A protocol for working with open-source neuroimaging datasets

“…In this case, there are more formal collaborations that researchers can join to foster new collaborations with researchers who have a shared interest, like the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium ( Thompson et al., 2014 ), Multi-centre Epilepsy Lesion Detection (MELD) Project ( https://meldproject.github.io// ), to list a few. In addition, neuroimaging hackathons ( Gau et al., 2021 ) are held around the world and are forums for researchers to meet and solve problems (as well as brainstorm research ideas). Attending events like these can help connect individual researchers to others in their community.…”

Computational models of human social behavior and neuroscience: An open educational course and Jupyter Book to advance computational training

“…Despite the promise and increased use of computational models to characterize human social behavior and neuroscience (Zhang et al, 2020), few psychology programs actually offer quantitative training required for introductory level computational modeling and literacy (Guest & Martin, 2021;. Although summer schools (e.g., Neuromatch Academy (van Viegen et al, 2021), Methods in Neuroscience at Dartmouth (MIND), Neurohackademy, Cognitive Modeling Academy), self-guided online tutorials and papers (Lockwood & Klein-Flügge, 2020;Wilson & Collins, 2019;Zhang et al, 2020), andcommunity-oriented workshops (e.g., Brainhack Global (Craddock et al, 2016;Gau et al, 2021)) have filled this pedagogical gap in recent years, these programs may not reach audiences who are not familiar with computational modeling in research (e.g., undergraduates).…”