Rabindrik Psychotherapy Research Institute Trust

Interdisciplinary Training on Industrial Safety and Psychological Counselling  Organized by Rabindrik Psychotherapy Research Institute Trust (RPRIT), Registered Academic Trust by Indian Trust Act,1882, REGD.NO.150600103, DARPAN ID WB/2025/0514195 in collaboration with ABBS School of Management. Background : Over the last two years, RPRIT has developed indigenous statistical models in descriptive analysis, dimension reduction, and classification through extensive multi-state research. As a registered vendor of Tata Power, RPRIT is working toward a Pan-India safety and disaster analytics model to support evidence-based safety management and disaster preparedness. This certificate course emphasizes applied, skill-based learning through conceptual understanding, visualization, and applied interpretation using jamovi. Our aim is to create more job opportunities through internships later. Preface : Industrial safety is influenced not only by technical systems and regulations but also by ...

Three-Month Hybrid Course Syllabus Title: AI-Based Questionnaire Design and Data Science in Social Science Research Course Duration: 3 Months (12 Weeks) Mode: Hybrid (Online + Offline/Practical Sessions) Weekly Structure: 2–3 hours per week (Total ~60 hours) Components: Theory (40%) + Practical (60%) + Project --- Course Objectives * To understand scientific questionnaire construction using AI * To integrate psychology, Rabindrik values, and data science * To design rank-based and adaptive questionnaires * To apply R/Excel for psychometric and AI-based analysis * To develop job-ready skills in research, analytics, and assessment --- Eligibility of Students * Undergraduate (UG) students in Psychology, Education, Sociology, Management, or related fields * Postgraduate (PG) students and PhD aspirants in Social Sciences * Basic knowledge of statistics (mean, correlation) preferred * No prior coding required (R/Excel will be taught from basics) * Professionals working in HR, education, NGOs...

AI can significantly transform questionnaire construction in social science research by making it more scientific, adaptive, and data-driven. Since your work involves psychology, Rabindrik values, and rank-based data, AI can be especially powerful in improving both design quality and analytical depth. AI in Questionnaire Construction for Social Science Research Conceptual Role of AI AI assists in three major phases: item generation, item validation, and adaptive administration and analysis. It shifts questionnaire design from intuition-based approaches to evidence-based and iterative systems. AI in Item Generation AI can automatically generate questionnaire items from a construct such as safety consciousness or self-acceptance. It helps maintain variation in wording and reduces redundancy while also producing culturally adaptable items. For example, for the construct fearlessness, AI can generate items like: “I take decisions without being overwhelmed by fear of failure.” “Uncertainty ...