It is generally agreed that the 10 billion USD research/science publishing industry represents a bad way to expend scarce research funds. Funded by university budgets and grants to researchers, and based on the volunteerism of the research community, this market diverts substantial sums from the research activity itself, while putting up barriers to access to the research literature. Current open-access mandates merely transfer the costs from reader to authors and/or their funding/employing organizations. Research journals provide objective peer-review and an article rating and filtering mechanism. In last year’s GSoC project, we leveraged modern internet-based social technology to create an open reviewing and quality-ranking web portal that, if adopted, will drastically improve research discourse, functioning and accessibility.
The project involves the further development of the portal and the addition of several features, including those based on LLMs and NLP AI. Familiarity with Django/React as well as Python will be ideal. The system will eventually be tested with the Aperture Neuro open access publishing platform of the Organization for Human Brain Mapping (OHBM), in consultation with that community.
Skill level: Intermediate/advanced
Required skills: Comfortable with Python, Django, React (or close equivalents). Experience with web technology – React/equivalent Javascript library, front-end programming, back-end programming with databases.
Time commitment: Full-time (350 h, large project)
Lead mentor: JB Poline (@jbpoline), Jyothiswaroop Bommareddy (@JyothiSwaroopReddy07 )
Project website: https://www.scicommons.org/
Backup mentor: Suresh Krishna (@suresh.krishna)
Tech keywords: Science publishing, social web, science portals, Natural language processing, large language models, AI.