Best AI Tools for Research, Article Writing & Literature

In the era of digital scholarship, researchers must leverage advanced tools to streamline and enhance the research process. This course provides a comprehensive guide to over 60 cutting-edge AI tools designed to support researchers at every stage—from literature review and citation generation to writing, data analysis, and academic presentations.

Whether you're a graduate student, academician, or independent researcher, this course will equip you with practical skills to conduct systematic literature reviews (SLR), craft high-quality research articles, manage references, analyze qualitative/quantitative data, and produce compelling visual presentations—all with the help of artificial intelligence.

Participants will engage in hands-on activities, real-world use cases, guided tool walkthroughs, and productivity hacks that save time, reduce effort, and increase research impact.

Module 1: Introduction to AI in Academic Research

• What is AI in research?

• Categories of AI tools (Search, Review, Writing, Citation, Data Analysis, Presentation)

• Benefits and ethical considerations

• Research workflow overview with AI integration

Module 2: AI Tools for Systematic Literature Review (SLR)

• Understanding SLR and its stages

• Tools Covered:

  • Open Knowledge Maps

  • Citation Gecko

  • Inciteful AI

  • Research Rabbit

  • Connected Papers

  • Carrot2

  • LITMAPS

  • Elicit

  • Consensus

  • Keenious

• Case Study: Conducting a full SLR using Elicit + Research Rabbit

• Activity: Mapping a literature network with Connected Papers