AI-Powered Academic Research: From Discovery to Ethics
Accelerate Discovery: Use AI to Research, Write, and Analyze with Precision
About This Course
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.
Workshop 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
Workshop 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 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
Who Should Enrol?
PhD students, faculty, researchers in any discipline
Important Dates
Registration Ends
06/28/2025
IST 4 PM
Workshop Dates
06/28/2025 – 06/28/2025
IST 3 PM
Workshop Outcomes
✅ Hands-on experience with AI tools for research
✅ Faster literature review & writing workflows
✅ Basic AI-powered data analysis skills
✅ Personalized AI research assistant
Fee Structure
Student Fee
₹2999 | $40
Ph.D. Scholar / Researcher Fee
₹2999 | $40
Academician / Faculty Fee
₹2999 | $40
Industry Professional Fee
₹2999 | $40
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
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