Project Idea
One representative case-study project is OneSTOP. There is significant potential for AI-powered support in communication and dissemination tasks, such as:
- Monitor and analyse information from multiple sources and suggest publish-ready information for the project’s news section on the website, as well as the social media channels LinkedIn and Bluesky.
The sources could be:
- for relevant scientific articles – Web of Science, Scopus and other relevant databases.
- for project-funded articles – OpenAIRE Explore
- for newly funded relevant projects – CORDIS
- for updates in the relevant field – Science for Environment Policy.
Team
- Tech Lead
- AI Engineer
- Operations & Communication Manager
From data chaos to digital order.
Overview
kagiPro provides a lightweight R interface to the Kagi API, including:
- Search API — perform web searches with advanced operators
- Enrich API — get higher-signal results from specialized indices
- Universal Summarizer — summarize text or URLs in one call
- FastGPT API — ask grounded LLM questions with optional web context
The package follows the rOpenSci style for API clients:
- S3 classes for connections, requests, and results
- Extractor helpers to work with results as tibbles or text
- Secure API key handling with keyring
- Replay metadata for query-by-name reruns in project workflows
Goal
- Read and summarise project-derived scientific articles or other relevant scientific articles and suggest publish-ready news items and social media posts.
- Regularly scan the policy landscape on the topic of biodiversity monitoring, biosecurity, invasive alien species and suggest relevant blog posts
- provide metrics of activities and use
To provide publish-ready information, AI must also analyse existing news items and social media posts and make its suggestions based on them.
Technologies and Tools
To ensure seamless software development, we use the most suitable tech stack for your project.
Python
React
Java
Node.js
Arches