Open spanta28 opened 2 weeks ago
Thank you for submitting! This a great topic to hear updates on in the OSR.
I see that the preference is for sessions 1 or 3, we only have 4 and 5 available: Thursday 26-06 15:45-16:45 Friday 27-06 13:00-14:00 Could either of those work for you?
Would anyone be there is person or would it being fully online?
Kind regards, Selma
Can you tell me if the timezone is Seoul, Korea?
It's GMT+9
Friday works for me .
Apologies, I just saw that the dates and days son't match. It's Thursday 27-06 13:00-14:00. Would that also work? Will there be anyone on site/in-person?
It will be online presentation. I will have some people representing my organization in person who could be able to take questions etc. But I will be doing virtual presentation. Thursday 27-06 13:00-14:00 works great.
Thanks
Excellent!
Can you remind me , if I need to send you the presentation slides etc. by a certain time? Thanks
Hi, good question, I'll double check with the person that is helping us out with the hybridisation.
https://ohbm.github.io/osr2024/schedule/ There you find the corwdcast link for the session through which you can join and share your screen with your slides. So we don't need them beforehand. It would be good to join the meeting 15 min early to set up. I'm looking forward to it.
Please be online for the session 10 minutes before the meeting so we can set-up the audio and show your slides on the screen. See you tomorrow! Thanks, Selma
Hi Just a few questions here: 1) Last time I did this in 2022, I did 30 mins of presentation and 30 mins of questions. Is that roughly the format this time too? What is the time limit on the duration of the presentation? 2) Can you send me a link so that my co-worker can join? Thanks
This is the link, please share it with who ever you like: https://www.crowdcast.io/c/osr-2024-emergent-5 The session is an hour in total, it's up to you how long you want to present and do Q&A.
By Sandeep Panta, Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia State University
Recording and streaming volunteer
Emergent session #3, #1
Short description and the goals for the session
COINSTAC (Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation) promotes collaborative research by removing large barriers to traditional data-centric approaches. It allows groups of users to run common analyses on their own machines over their own datasets with ease. The results of these analyses are synchronized to the cloud and undergo aggregate analysis processes using all contributor data. Federated (decentralized) pipelines enable distributed, iterative, and feature-rich analyses, opening up new possibilities for collaborative computation. It also offers data anonymity through differentially private algorithms, so members do not need to fear protected health information (PHI) traceback.
The goal of this discussion is to briefly introduce COINSTAC and its new features/algorithms to perform statistical analysis on various datasets. New features include: Doing statistical analysis using Singularity containers Command line pre-processing tools New algorithms including but not limited to Decentralized Source Based Morphometry New COINSTAC federated analysis architecture powered by NVIDIA FLARE
We would like to hear feedback about our software such as how to improve the experience for researchers. We welcome anyone who wants to contribute to this open source and open data project with their datasets, algorithms, and code. We would also like to work with other organizations to pursue grants together, including small business grants. Collaborating with other organizations is the best way for us to answer interesting neuroscience-related questions that would not have been possible without COINSTAC and COINSTAC Vaults.
Useful Links
COINSTAC Github COINSTAC Vaults intro webpage Vaults demo video on Freesurfer data COINSTAC educational videos https://trendscenter.org/