Ever felt stuck in a research rut, struggling to come up with fresh, groundbreaking ideas? Scideator, a new AI tool, might be the answer. This innovative platform helps researchers generate novel scientific ideas by cleverly recombining key aspects of existing research papers. Imagine extracting the core purpose, method, and evaluation from various papers and then mixing and matching them to create entirely new research directions. That's precisely what Scideator enables. It starts by analyzing a set of papers you provide, identifying related research, and extracting their key facets. You can then interactively select the facets you find most compelling and let Scideator's AI generate potential research ideas based on those combinations. Even better, it helps you gauge the novelty of your generated ideas by searching the existing literature for similar work and providing automated novelty assessments. This feature is crucial for ensuring that your brilliant spark hasn't already been ignited elsewhere. In a user study with computer science researchers, Scideator proved its worth. Participants generated significantly more interesting ideas using Scideator than with traditional search engines and AI tools alone. Scideator's intelligent approach opens up exciting possibilities for researchers seeking inspiration and a way to break free from conventional thinking. While the initial focus is on computer science, the potential for Scideator to revolutionize ideation across various scientific disciplines is immense. Imagine biologists blending insights from genetics and ecology, or chemists fusing nanotechnology with materials science – the possibilities are endless. As Scideator continues to develop, addressing challenges like identifying the feasibility of generated ideas and providing deeper contextual information about unfamiliar concepts, it promises to be an invaluable tool for any scientist seeking to push the boundaries of knowledge.