GSoC 2023 Project Idea 17.1 Contribute to LORIS (175/350 h)

GSoC
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Interested in data platforms, open science, visualization, or neuroscience studies? Projects can be proposed to match the applicant’s interests, background and strengths, and developed with input from our team. Some examples from past INCF Google Summer of Code projects include: new module development, imaging pipelines, automated testing, API development.

How to apply: If you might be interested, send a quick email to our Lead Mentor <christine.rogers [at] mcgill.ca> to introduce yourself and share your CV. If our projects could be a good match, we’ll walk you through the GSOC proposal process.

About LORIS github.com/aces/loris : LORIS is an open-source database for neuroscience research projects and Open Science initiatives.

LORIS databases are used by research projects in 22 countries. LORIS’ open-stack web platform is used by scientists to collect and curate, analyze and share data - including brain scans, genetic data, psychological tests, wearables, electrophysiology and more. 3D visualization and advanced data tools provide a dynamic workflow environment for complex neuroinformatics research.

For a few examples, LORIS currently hosts datasets such as the UK Biobank and the BigBrain 3D Atlas (bigbrain.loris.ca) - a high-resolution model of the human brain.

Working with LORIS: LORIS runs on linux, mysql, javascript/React and php, with a RESTful API and NoSQL querying engine. LORIS developers work on this open stack, and we collectively test and review code at github.com/aces/loris.

We’d love to have you join our diverse team of 20 developers affiliated with the Montreal Neurological Institute and McGill University in Montreal, Canada – We especially encourage those from underrepresented backgrounds and/or interest in neuroscience, medicine or psychology research, bioinformatics, or image/signal processing to apply.

Skill level: Intermediate/Advanced

Required skills: Strong coding foundation, typically in python or javascript or unix-based experience. Some knowledge of psychology/science research, databasing or imaging is an asset.

Time commitment: Flexible (175/350 h, 350 preferred)

Lead mentor: Christine Rogers

Project website: Loris.ca

Backup mentors: N/A

Tech keywords: LORIS, JavaScript, React, REST, NoSQL, databasing, imaging, platform, open science, MRI, EEG

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Hey,
Please help me with some suggestions for starting the contribution like some good first issues.

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Dear @crogers,

I am an interdisciplinary graduate student of Computer Science and Psychology at Ashoka University (India). Presently, I am on a journey of exploring the multifaceted threads of Cognitive Science while investigating their theoretical, behavioral, computational, and neuroscientific anchors as I intend to pivot toward and delve deeper into Human Language Technology and Computational Cognitive/Neural Sciences. I am still relatively a newbie with regard to open-source development and neuroscience research and I am hoping to participate in this year’s GSoC as a contributor in order to get started with both of them seriously. I have a decent amount of experience in software engineering, web development (full-stack), and machine learning and I have recently started working with a Neuroscience faculty in his lab to learn about the experimental fundamentals, relevant challenges, computational neuroscientific approaches, and functional neuroimaging.

I think my interests and skills are quite well aligned with this project and I would really like to get involved with this project. I have sent an introductory mail to you as well as @arnab1896 had suggested. I am still making this brief post here as an informal expression of my interest in the LORIS project.

Looking forward to discussing more in and around this project and hopefully, working with you!

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Hello @crogers,
So I have send an email with all the details at christine.rogers@mcgill.ca

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Thank you to all those who emailed to discuss a proposal with us – looking forward to a great GSOC 2023.