About Workshop
This 3-day live hands-on workshop is designed to help researchers, PhD scholars, academicians, students, and R&D professionals use AI tools responsibly and effectively in research and development. The workshop focuses on practical applications of AI for literature review, research idea generation, hypothesis development, scientific writing, data interpretation, reference support, patent searching, and research productivity.
Participants will explore popular AI tools such as ChatGPT, Google Gemini, Perplexity, Elicit, Scite, Consensus, Research Rabbit, Connected Papers, Semantic Scholar, Google Scholar, and Litmaps. Along with tool demonstrations, the workshop will also address important ethical concerns such as AI hallucination, bias, plagiarism, authorship, copyright, data privacy, cybersecurity, and responsible disclosure of AI use in research.
By the end of the workshop, participants will be able to design a responsible AI-assisted research workflow, use AI tools for academic and industrial R&D tasks, and critically evaluate AI-generated research outputs before using them in publications, reports, or projects.
Aim
The aim of this workshop is to help participants develop practical skills in using AI tools for research and development while maintaining research ethics, academic integrity, transparency, accuracy, and responsible innovation.
What Participants Will Learn
- To introduce participants to the role of AI in modern research and development.
- To demonstrate how AI tools can support literature review, research planning, idea generation, hypothesis development, and scientific writing.
- To help participants understand the ethical challenges of AI use in research.
- To explain AI hallucination, bias, plagiarism, authorship, copyright, privacy, and data security concerns.
- To train participants in prompt engineering for research-focused tasks.
- To guide participants in using AI tools for data interpretation, reference support, patent searching, and presentation preparation.
- To enable participants to verify and critically evaluate AI-generated research outputs.
- To help participants prepare ethical AI use checklists, disclosure statements, and responsible research workflows.
- To build awareness of future opportunities and skills required in AI-driven research and development.
Structure
📅 Day 1 – Foundations of AI in Research and Development
Theme: Understanding AI Tools, Opportunities, and Research Transformation
- Introduction to Artificial Intelligence in Research and Development
- Evolution of AI in scientific and academic research
- AI applications in pharmaceutical research, healthcare, biotechnology, academics, and literature review
- AI for research idea generation and hypothesis development
- AI for data collection, data analysis, and research planning
- AI in drug discovery and molecular modelling support
- AI tools for literature search, evidence mapping, and research question framing
- Benefits and limitations of AI in research
- Understanding the role of human expertise in AI-assisted research
- Live hands-on demonstration of 10+ AI tools for researchers
- Research ethics in the AI era
- Ethical principles of AI: transparency, accountability, fairness, privacy, and explainability
- AI bias and hallucination in research outputs
- Risks of overdependence on AI-generated content
- Plagiarism, authorship, copyright, and originality issues
- AI and research misconduct
- Responsible use of AI in publications and academic writing
- Ethical use of AI in clinical, pharmaceutical, and biomedical research
- Data privacy, confidentiality, and cybersecurity concerns
- Best practices for ethical AI adoption in research and institutions
- AI for scientific writing and manuscript preparation
- AI-assisted data visualization and statistical interpretation
- AI for reference management and literature organization
- AI for patent searching and technology landscape review
- AI for research presentation preparation
- Prompt engineering for researchers
- Effective human-AI collaboration in research workflows
- AI validation and verification strategies
- Developing an AI-assisted research workflow
- Future of AI in drug discovery, precision medicine, academic research, and industrial R&D
- Building a responsible AI research culture
- Opportunities, careers, and future skills in AI-driven R&D
Important Dates
Registration Ends
3.00 pm
Workshop Dates
2026-06-15
4:00 PM
4:00 PM
What You Will Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Outcomes
- Understand the applications of AI in modern research and development.
- Use AI tools for literature review, idea generation, hypothesis development, and research planning.
- Apply AI tools for scientific writing, manuscript preparation, data interpretation, and presentation support.
- Identify ethical concerns related to AI-generated research outputs.
- Recognize risks such as hallucination, bias, plagiarism, authorship issues, copyright concerns, and overdependence on AI.
- Use AI tools responsibly while maintaining transparency, accountability, privacy, and research integrity.
- Critically evaluate and verify AI-generated research content.
- Prepare AI disclosure statements and ethical AI use checklists for research work.
- Develop an AI-assisted research workflow for academic or industrial R&D.
Who Should Attend
- Undergraduate and postgraduate students involved in research projects
- PhD scholars and research scholars from science, engineering, medicine, biotechnology, pharmacy, management, law, and interdisciplinary fields
- Faculty members, academicians, and research supervisors
- Scientists, R&D professionals, and industry researchers
- Healthcare, pharmaceutical, biotechnology, and life science professionals
- Authors, manuscript writers, academic content developers, and research coordinators
- Professionals interested in using AI tools responsibly for research, writing, analysis, and innovation
- Anyone interested in ethical AI adoption in academic or industrial research environments
Deliverables
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience