About Workshop
This international workshop introduces participants to a curated ecosystem of AI-driven academic research tools. Designed for both early-stage researchers and experienced academicians, the workshop demystifies how AI can support key phases of research—from literature mapping to manuscript preparation, and from statistical modeling to qualitative analysis.
Participants will explore a wide range of platforms and practices including AI summarizers, citation managers, writing assistants, statistical modelers, and NLP-based coding tools. The workshop promotes ethical use of AI while boosting productivity, creativity, and publication readiness.
Aim
To empower researchers, scholars, and students with practical knowledge of AI-powered tools that enhance the efficiency, quality, and impact of academic literature review, scientific writing, and data analysis across disciplines.
What Participants Will Learn
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Bridge traditional academic processes with modern AI tools
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Reduce research time and enhance analytical depth and clarity
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Encourage critical thinking about tool selection and ethical use
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Promote reproducibility, traceability, and scholarly impact
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Empower cross-disciplinary knowledge building and publishing efficiency
Structure
1. Introduction to AI in Academia
- Role of AI in the research lifecycle
- Challenges AI helps solve (literature overload, writing, data)
2. Literature Discovery with AI
Tools: Research Rabbit, Connected Papers, Elicit Skills: Finding key papers, visualizing citation networks Activity: Identify 2–3 relevant papers on your topic3. Summarizing & Comparing Research
Tools: ChatGPT, SciSpace, Elicit Skills: Summarizing papers, extracting insights, comparisons Activity: Summarize a research paper using AI4. Academic Writing & Citations
Tools: Scite.ai, Grammarly AI, PaperPal Skills: Enhancing clarity, adding citations, avoiding plagiarism Activity: Refine an abstract and add smart citations5. AI for Data Analysis
Tools: Google Colab + ChatGPT, Excel AI Skills: Cleaning, analyzing, and visualizing data Activity: Analyze a dataset and generate insights6. Build a Personal Research Assistant
Tools: ChatPDF, ChatDOC, GPT with RAG Skills: Create Q&A bots from PDFs Activity: Upload a paper, ask research-specific questions7. Ethics
Topics: AI bias, responsible use, UNESCO/IEEE guidelinesImportant Dates
Registration Ends
4 PM
Workshop Dates
2025-06-28
3 PM
3 PM
What You Will Gain
Outcomes
✅ Hands-on experience with AI tools for research
✅ Faster literature review & writing workflows
✅ Basic AI-powered data analysis skills
✅ Personalized AI research assistant
Who Should Attend
PhD students, faculty, researchers in any discipline