NextGen Research with AI
Transforming Research from Ideas to Impact
Why Join This FDP?
A multidisciplinary, practical journey from research ideation and literature review to methodology, statistical analysis, academic writing and scholarly publication.
Key Learning Outcomes
- Use AI responsibly across the research lifecycle.
- Identify research gaps and formulate meaningful objectives.
- Build verified literature reviews and citation workflows.
- Apply research methodology and statistical techniques.
- Analyze, visualize and interpret data using AI-assisted tools.
- Improve manuscript structure, clarity and academic integrity.
- Understand journal selection, peer review and publication strategy.
- Prepare an individual research-to-publication action plan.
Who Can Participate?
Faculty members, research scholars, PhD candidates, postgraduate students, educators and professionals from all disciplines.
Engineering • Science • Technology • Management • Commerce • Business • Arts • Humanities • Education • Social Sciences • Healthcare • Interdisciplinary Research
Programme Format
Two live sessions per day, 7:00–8:00 PM and 8:00–9:00 PM IST, including examples and practical demonstrations.
E-Certificate: Subject to attendance and successful assessment, as per organizer requirements.
Programme Schedule & Topics
Select a day to expand the two sessions, topics and practical outcome.
DAY 1
Mon 23 NovAI-Powered Research Discovery
- AI for research ideation and topic selection
- Research problem formulation and objectives with AI
- Prompt engineering for academic research
- Research gap identification, novelty and hypothesis development
DAY 2
Tue 24 NovSmart Literature Review with AI
- AI-powered literature search and critical reading
- Research trend mapping and source verification
- AI-assisted literature synthesis and review writing
- Citation management and bibliography generation
DAY 3
Wed 25 NovResearch Methodology, Statistics & Data Analytics
- Research methodology, sampling and research design with AI
- Descriptive and inferential statistics and AI-assisted data analysis
- Data cleaning, exploratory analysis and AI-powered visualization
- Statistical interpretation, graphical analysis and evidence-based conclusions
DAY 4
Thu 26 NovAI-Assisted Research Paper Writing
- Research paper structure, abstract and introduction with AI
- Writing methodology, results, discussion and conclusions
- Academic language enhancement, editing and formatting
- Research ethics, plagiarism prevention, AI disclosure and citation integrity
DAY 5
Fri 27 NovScholarly Publishing & Research Impact
- AI-assisted journal selection, indexing and journal verification
- Manuscript submission, cover letters and reviewer responses
- Research proposals, grant writing and scholarly visibility with AI
- Research-to-publication roadmap and final practical assessment
AI Tools Covered
Selected tools will be introduced or demonstrated based on their relevance and availability.
Participants should independently verify AI-generated citations, statistical results and manuscript claims.
Register Now
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Open for Institutional Collaboration
Colleges, universities, research centres and academic institutions are invited to explore collaboration for this FDP. Institutional registration arrangements may be discussed by agreement.
Email for Collaboration