AI for Accuracy in Research and Academic Writing

Session Agenda

In today’s digital age, achieving high accuracy in academic writing is paramount for researchers and scholars. With the increasing reliance on AI tools in academia, it’s crucial to understand how to leverage these tools effectively to enhance accuracy and precision in scholarly writing.

Key Benefits for Webinar Attendees 

  1. Gain actionable insights into using AI tools for ensuring high accuracy in academic writing
  2. Understand the differences among key AI tools and their specific strengths
  3. Learn effective strategies for utilizing AI tools to explore most relevant and recent literature
  4. Learn to fine-tune and optimize AI writing tools to your academic writing needs
  5. Witness live demonstrations showcasing cutting-edge features of Enago Read, Copilot, and Trinka AI

Background

Academic writing demands meticulous attention to detail and accuracy to ensure research credibility and uphold integrity. However, researchers often face challenges in maintaining accuracy amidst the vast amount of data and literature available. AI tools offer promising solutions to address many of these challenges by providing advanced capabilities, but the right tools and strategies need to be used for the right task.

The session focuses accuracy and precision in the various stages of research lifecycle and suggests best practices and tools. These include:

  • Knowledge discovery and literature review
  • Fine-tuning research methodology
  • Data sourcing and analysis
  • Sharing research findings using tables, figures, and infographics
  • Citations and attribution
  • Discipline-specific terminology
  • Language and grammar refinement
  • Ensuring consistency and style

Who should attend this session?

  • Graduate students
  • Early-stage researchers
  • Doctoral & postdoctoral students
  • Established researchers and academicians
  • Editors
  • Peer Reviewers

About the Speaker

  • Dr. Krishna Kumar Venkitachalam

    Innovation Officer at Enago

  • Piyush Agarwal

    Lead Product Manager at Trinka AI

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