AI-Powered Academic Research: From Discovery to Ethics
Accelerate Discovery: Use AI to Research, Write, and Analyze with Precision
Skills you will gain:
About Program:
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.
Program Objectives:
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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
What you will learn?
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 topic
3. Summarizing & Comparing Research
Tools: ChatGPT, SciSpace, Elicit
Skills: Summarizing papers, extracting insights, comparisons
Activity: Summarize a research paper using AI
4. Academic Writing & Citations
Tools: Scite.ai, Grammarly AI, PaperPal
Skills: Enhancing clarity, adding citations, avoiding plagiarism
Activity: Refine an abstract and add smart citations
5. AI for Data Analysis
Tools: Google Colab + ChatGPT, Excel AI
Skills: Cleaning, analyzing, and visualizing data
Activity: Analyze a dataset and generate insights
6. 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 questions
7. Ethics
Topics: AI bias, responsible use, UNESCO/IEEE guidelines
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
PhD students, faculty, researchers in any discipline
Career Supporting Skills
Program Outcomes
✅ Hands-on experience with AI tools for research
✅ Faster literature review & writing workflows
✅ Basic AI-powered data analysis skills
✅ Personalized AI research assistant