AI Tools for
Social Science Research
Dr. Vishwajeet Vinayak Gaike
A comprehensive 12-week MOOC designed to bridge the gap between traditional social science methodologies and modern AI-Tool Hands-on. This course emphasizes capacity building, research efficiency, and inculcate the Employability skills along with Current industry insights.
Watch MOOC introductory video by Dr. Vishwajeet Vinayak Gaike detailing the curriculum structure, hands-on tool walkthroughs, and academic objectives of this National MOOC.
Target Audience & Prerequisites
Who should enroll?
M.A., M.Sc., M.B.A., Ph.D. scholars, Faculty members
(aligned but not limited to) Social science disciplines like Management, Psychology, Economics,
Anthropology, Political Science, Social Work, Linguistics, Demography, Criminology & Law, History,
Geography & Population Studies.
Foundational Prerequisites
Requires a foundational understanding of social science research methodologies. No prior coding or computer science background is required.
Sociology
Sociology studies how people live, interact, and form communities, helping us understand families, schools, workplaces, and social change.
Its importance is growing in a connected world because it helps address inequality, migration, social media behavior, and rapidly changing societies.
Psychology
Psychology examines human behavior, emotions, learning, memory, and mental health.
It is essential for personal well-being, education, workplace productivity, and future needs in mental health, AI interaction, and human-centered design.
Economics
Economics studies how people, businesses, and governments use limited resources to make decisions.
It matters in everyday life through jobs, prices, savings, and policies, and in the future for sustainable growth, digital economies, and global trade.
Political Science
Political science explores power, governance, public policy, rights, and the functioning of states.
It is important for democracy, citizenship, lawmaking, and future challenges like digital governance, cybersecurity, and global cooperation.
Anthropology
Anthropology studies human cultures, origins, traditions, and social evolution across time and place.
It helps us respect diversity and understand human behavior, which is valuable in multicultural societies and globally connected futures.
History
History studies past events, civilizations, movements, and ideas to explain how the present was shaped.
It is important because it builds identity, critical thinking, and lessons for future decisions in politics, education, and society.
Geography
Geography studies places, environments, populations, and the relationship between humans and Earth.
It is crucial for understanding climate change, urban planning, resources, disasters, and sustainable development in the future.
Human Geography
Human geography focuses on how people organize space, cities, migration, culture, and economic activity.
Its importance is rising with urbanization, smart cities, transportation systems, and global population movement.
Demography
Demography studies population size, structure, growth, birth, death, and migration patterns.
It helps governments and organizations plan schools, healthcare, jobs, housing, and aging-related future services.
Linguistics
Linguistics studies language structure, meaning, sounds, and how people communicate.
It is vital for education, translation, AI language systems, multilingual communication, and preserving languages in the future.
Education
Education studies how people learn, how teaching works, and how knowledge is built and shared.
It is central to personal development and future progress, especially through digital learning, skill-based education, and lifelong learning.
Law / Jurisprudence
Law studies rules, justice, rights, duties, and legal systems that regulate society.
It is important for protecting fairness and order, and it will remain critical in areas like digital rights, AI regulation, and data privacy.
Social Work
Social work focuses on helping individuals, families, and communities solve social problems and improve well-being.
It is important in poverty reduction, child welfare, health support, and future social protection systems.
Management
Management / Business studies how organizations plan, organize, lead, and control resources effectively.
It is highly relevant for employment, entrepreneurship, innovation, and future leadership in digital and global businesses.
Social Policy
Social policy examines government and institutional actions that affect welfare, health, education, housing, and equality.
Its scope is vital for reducing social problems and shaping future inclusive systems for vulnerable groups.
Social Statistics
Social statistics uses data to study social trends, behavior, and policy outcomes scientifically.
It is increasingly important for evidence-based decision-making, research, AI analytics, and future governance.
Learning Outcomes
AI Tool Application
AI Tool Application
Apply AI-powered tools for idea clustering, literature review, survey design, qualitative data collection, analysis, interpretation, and research dissemination.
Prompt Engineering
Prompt Engineering
Understand the prompt engineering principles for enhanced research efficiency.
Concept Networks
Concept Networks
Utilize specialized AI tools to construct robust concept networks and formulate highly precise research problems.
Data Management
Data Management
Examine complex social science datasets to execute automated data cleaning, sorting, and impressive graphical representation.
Literature Reviews
Literature Reviews
Compile citation-rich, AI-augmented literature reviews using LLMs while actively mitigating potential academic hallucinations.
Ethical Design
Ethical Design
Design an original and ethical research project.
Capacity Building
Advanced Literature Synthesis
The structural ability to map and synthesize vast academic databases efficiently without fabricating citations or hallucinating references.
Data Operations Mastery
Acquiring complete competence in utilizing open-source ML tools for secure data sorting, advanced cleaning, and interactive visualization.
Research Automation
Mastering practical skills to automate high-friction administrative tasks, including fieldwork sourcing and qualitative text parsing.
Best practices by Industry Leaders
Developing a deep, actionable understanding of industry demands, Employability skills and making participants highly valuable for advanced industry roles.
Transforming Research through AI
Meet Your MOOC Course coordinator, Dr. Vishwajeet Vinayak Gaike
Dr. Vishwajeet is uniquely positioned to lead the National MOOC on "AI Tools for Social Science Research," offering a powerful synthesis of advanced pedagogical design and cutting-edge technical expertise in Generative AI, Agentic AI and Responsible AI. His recent certifications serve as a testament to his commitment to delivering high-impact, multidisciplinary education.
"Dr. Gaike's curriculum for this MOOC is not just theoretical; it is grounded in the latest global standards for AI implementation and learner-centric online education."
At a Glance: Core Competencies for MOOC Leadership
Mastery in Learner-Centric MOOC Design
Holds specialized certification from the Academic and Administrative Development Centre (Nov 2025), ensuring the highest standards of student engagement and instructional efficacy.
Cutting-Edge AI Technical Expertise
Subject depth reinforced by a Google Cloud certification in "Gen AI Agents: Transform Your Organization" (Mar 2026), enabling teaching of current AI research workflows.
National Platform Proficiency (SWAYAM)
Expert in NEP 2020 objectives with focused training in "E-Content Development" and "Development of MOOC under SWAYAM" (Jul 2025).
Excellence in Research Ethics
Academic foundation validated by high performance in "Research Ethics" (89%) and "Academic Writing" (86%) via SWAYAM/CEC.
Proven Innovation in Digital Workplace
Recent research presented at SYM-EMERGE 2025 titled "Transformational Impact of Personality on Utilization of Generative AI" demonstrates active digital leadership.
Evidence of Expertise & Professionalism

Gen AI Agents
Organizational transformation using AI agents.

Creating Learner Centric MOOCs
Pedagogical design for large-scale online courses.

Development of MOOC under SWAYAM
Technical and structural development of national MOOCs.

Ethics in the Age of Gen AI
Critical understanding of ethical AI implementation.

Research Ethics (89% Score)
Mastery of ethical standards in academic research.
Dr. Gaike’s continuous professional evolution—spanning from high-level research ethics to the latest in Generative AI—makes him the definitive choice to guide researchers into the next era of Social Science inquiry.




