Center for AI Resources

Elicit is an AI-driven research assistant designed to help academics, researchers, and students find, analyze, and synthesize scholarly literature more efficiently. It is particularly well-known for streamlining systematic literature reviews by automating tedious research tasks.

Key Features: 

• AI-Powered Literature Review - Instead of just listing papers, Elicit, extracts key insights from academic articles, including study findings, methods, and sample sizes.  
• Semantic Search & Paper Discovery - Unlike traditional search engines that rely on keyword matching, Elicit uses semantic search to find relevant papers even if exact keywords aren’t present. 
• Automated Summaries & Key Insights - Extracts information such as research questions, methodologies, sample sizes, and conclusions from academic papers. Provides structured answers rather than requiring users to read full papers. 
• Customizable Research Pipelines - Allows users to filter papers based on specific criteria (e.g., sample size, methodology). Enables researchers to prioritize high-quality sources for systematic reviews. 
• Data Extraction & Synthesis - Gathers and summarizes findings across multiple studies, helping researchers draw conclusions quickly. 
• Research Question Generation - Helps users refine research questions and identify gaps in existing literature. 
• Citation Tracking & Paper Referencing - Helps researchers trace citations and explore related work without manually searching through databases. 

NotebookLM is an AI-powered notetaking and research assistant developed by Google, designed to help users synthesize information from their own documents, sources, and research materials. It leverages Google’s Gemini AI to provide contextual summaries, answer questions, and generate insights based on uploaded content. Note: It is not ethical to upload content to AI that material does not belong to.

Research Rabbit is an AI-powered research discovery tool designed to help scholars, researchers, and students explore academic literature more efficiently. It enhances traditional academic search engines by offering a visually intuitive and personalized way to discover and organize research papers.

Key Features: 

• AI-Driven Recommendations – Suggests relevant papers based on user preferences, citations, and co-authorship networks. 
• Visual Research Mapping – Generates interactive graphs and networks to help users explore related studies, researchers, and citation relationships. 
• Collaborative Research – Allows users to create and share collections of papers with colleagues or research teams. 
• Personalized Alerts – Sends notifications when new relevant papers are published, keeping users updated on emerging research. 
• Integration with Reference Managers – Works with platforms like Zotero to streamline citation management. 
• Author and Institution Tracking – Enables users to follow specific researchers and institutions for updates on their latest work. 

Consensus is an AI-powered academic search engine that allows you to search and analyze over 200 million peer reviewed research papers. Consensus uses language models (LLMs) and Vector search technology to identify the most relevant papers. It also synthesizes topic-level and paper-level insights.