TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cycles
This addresses the need for integrated AI support in academic research, though it is incremental as it builds on existing AI tools and platforms.
The authors introduced TIB AIssistant, a platform using AI and LLMs to assist researchers across the entire research life cycle, enabling tasks like generating draft paper sections and enhancing reproducibility through RO-Crate exports.
The rapidly growing popularity of adopting Artificial Intelligence (AI), and specifically Large Language Models (LLMs), is having a widespread impact throughout society, including the academic domain. AI-supported research has the potential to support researchers with tasks across the entire research life cycle. In this work, we demonstrate the TIB AIssistant, an AI-supported research platform providing support throughout the research life cycle. The AIssistant consists of a collection of assistants, each responsible for a specific research task. In addition, tools are provided to give access to external scholarly services. Generated data is stored in the assets and can be exported as an RO-Crate bundle to provide transparency and enhance reproducibility of the research project. We demonstrate the AIssistant's main functionalities by means of a sequential walk-through of assistants, interacting with each other to generate sections for a draft research paper. In the end, with the AIssistant, we lay the foundation for a larger agenda of providing a community-maintained platform for AI-supported research.