#EXPO2027 #Belgrade
#Serbia
Project: Open Science Navigator – AI Patent and Academic Research Search Engine
Introduction
In today's world, science and innovation heavily rely on fast and precise access to up-to-date information. Researchers often waste valuable time searching fragmented patent and academic databases, slowing down new ideas and duplicating efforts. The goal of this project is to develop an AI system — Open Science Navigator — that integrates patent and university research search on one platform, enabling users easy, fast, and intuitive access to relevant data.
Project Goals
Develop an intelligent AI tool that searches global patent and academic databases
Provide visual and textual presentation of complex data
Increase research efficiency by reducing duplication and facilitating identification of knowledge gaps
Promote open science and democratization of knowledge worldwide
Methodology
Integrate existing databases (WIPO, USPTO, EPO, arXiv, CORE, etc.) into a unified AI system
Apply advanced NLP (natural language processing) techniques to summarize and interpret data
Develop a user-friendly interface tailored for scientists, students, and innovators
Test and iteratively improve through pilot projects with universities and research institutes
Expected Results
Reduce time needed to find relevant patents and research papers
Facilitate collaboration among researchers from different fields and countries
Encourage innovation by easier access to prior work and identifying new research questions
Increase availability of scientific information worldwide
Target Groups
Scientists and researchers in academic and industrial institutions
Bachelor, master, and doctoral students
Universities and research centers
Innovative companies and startups
Governmental and international organizations interested in scientific development
Partners and Potential Users
OpenAI and other AI leaders for technical collaboration
UNESCO for support in open knowledge access
European Commission (Horizon Europe) for funding and EU networking
Leading universities (Harvard, MIT, Oxford, Sorbonne, Tokyo, University of Belgrade)
Global patent offices and databases
Implementation Plan and Budget (Outline)
Phase 1 (0-6 months): Needs analysis, database integration, basic prototype
Phase 2 (6-12 months): AI model development, interface, pilot user testing
Phase 3 (12-24 months): Iterations, expanding partnerships, platform launch
Budget: software development, server infrastructure, marketing, user education
Conclusion and Appeal
Open Science Navigator is not just a technological project — it is a vision of the future of science where knowledge is not a privilege but a right of every individual. Investing in this project accelerates innovation, collaboration, and a fairer scientific world.
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