AI in Social Science Research

Overzicht

This comprehensive Six-week online course offers graduate and postgraduate students an in-depth introduction to the practical application of generative artificial intelligence (AI) toolsspecifically tailored for academic research. Designed in collaboration with SWAYAM and IIMBX,the course equips learners with hands-on knowledge and skills to harness state-of-the-art AItechnologies, enhancing their ability to review literature, analyze data, write academically, anddisseminate research.Participants will explore emerging generative AI models and their applications across diverseresearch workflows, learning how to integrate these tools ethically and effectively in theirprojects.

The curriculum strikes a balance between foundational AI concepts and appliedtechniques, enabling students to automate routine tasks, generate insightful datavisualizations, and create compelling presentations and publications.

Lesprogramma

• Week 1: Introduction to Generative AI in Social Science Research
Overview of generative AI technologies
Introduction to AI applications in academic research
Ethical considerations in AI-driven research
• Week 2: Literature Review Automation
AI tools for literature review
Conducting systematic reviews with AI
Synthesizing research findings using AI
• Week 3: Data Collection and Preprocessing
AI techniques for data collection and scraping
Cleaning and preprocessing data with AI tools
Data ethics and privacy concerns
• Week 4: Analyzing Data with AI
Machine learning models for social science data
Using AI for qualitative and quantitative analysis
Visualizing data with AI-generated insights
• Week 5: Academic Writing and Presentation
AI tools for drafting and editing academic papers
Enhancing writing clarity and style using AI
Designing AI-powered presentations
• Week 6: Disseminating Research and Future Directions
Strategies for publishing with AI support
Publicizing research through AI-driven platforms
Future trends in AI for social science research

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Gegeven door

Dr. Anurag Jain, Itam Urmila Jagadeeswari, Vishal Soodan

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Vakgebieden

Artificial Intelligence