Cortical hubs in development by Jessica Church Lang

Keynote on Structure-Function studies on the SARS-CoV-2 spike and development of COVID-19 interventions by Jason McLellan

Keynote on Meta-analysis, reproducibility, and responsible data use by Dr. Angie Laird ✨🫶

Multimodal data mining on brain imaging and genomics by Jingyu Liu

Keynote on Developmental science with high-density and large-scale data: Unlocking new opportunities by Chen Yu

Great start of Day 2 of #BDN2022. Keynote on Democratizing access to structural biology data, software and computing resources by Piotr Sliz SBGrid: Structural Biology Software

Citing research resources other than articles: what have we learned? By Maryann Martone INCF

Place cell population coding of memory by Laura Colgin

Democratizing neuroscience using cloud computing platform brainlife.io by the Director of BigDataNeuroscience Franco Pestilli Franco Pestilli

Towards the big data neuroscience nirvana by Yaroslav Halchenko DataLad @[email protected]

as usual, DataLad @[email protected] is fascinating everyone! this time introduced by Yaroslav Halchenko during the BigDataNeuroscience meeting at UT Austin.

Using iEEG-BIDS for a stimulation driven human connectome by Dora Hermes

Keynote on Standards for neuroimaging research: the ReproNim approach for enhancing reproducibility by David Kennedy Reproducible Neuroimaging

Panel Discussion on the Challenges and opportunities for international-scale infrastructure to advance data sharing and equity with panelists from U.S. National Science Foundation NIH nature The Kavli Foundation Wellcome INCF dmuleicester brainlife.io #openscience

Big Data Neuroscience panelist Dr. Amy Bernard of the The Kavli Foundation on the importance of #OpenScience “Open data provides incredible potential for scientists to maximize knowledge gained from precious neuroscience research studies.”

Panelist Dr. Eke Dr. Damian Okaibedi Eke “Democratization of access to datasets, infrastructures and tools is critical to equitable global research and innovation in neuroscience. This should be accompanied by the willingness to provide training/education in low and middle income countries”

Dr. Matthew Brown @MTC_Brown1 of the Wellcome during our panel discussion “A global approach in neuroscience will be critical in ensuring research embraces diversity of ideas and of data, so future interventions will also have a global impact.”

Dr. Ming Zhan of NIH highlighted funding opportunities in the BRAIN science program, particularly on creating new data archives for brain-behavior data (RFA-MH-20-600), and developing software tools and data standards for BRAIN research (RFA-MH-21-135) USBrainAlliance

And of course, a big thank you to our sponsors! Thank you for supporting our transdisciplinary workshop on Big Data Neuroscience U.S. National Science Foundation UT Austin South Big Data Hub UArk Psychology The University of Alabama