AI Tools for Social Science Research (AISSR) | MOOC by Dr. Vishwajeet Gaike

AI Tools for
Social Science Research

Course Coordinator:
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.

Dr. Vishwajeet Gaike facilitating AI Tools for Social Science Research (AISSR)
Scope & Audience

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

01

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.

02

Prompt Engineering

Prompt Engineering

Understand the prompt engineering principles for enhanced research efficiency.

03

Concept Networks

Concept Networks

Utilize specialized AI tools to construct robust concept networks and formulate highly precise research problems.

04

Data Management

Data Management

Examine complex social science datasets to execute automated data cleaning, sorting, and impressive graphical representation.

05

Literature Reviews

Literature Reviews

Compile citation-rich, AI-augmented literature reviews using LLMs while actively mitigating potential academic hallucinations.

06

Ethical Design

Ethical Design

Design an original and ethical research project.

Outcome Metrics

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.

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Gen AI Agents

Google Cloud Mar 07, 2026

Organizational transformation using AI agents.

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Creating Learner Centric MOOCs

AADC (AIU-SIU) Nov 22, 2025

Pedagogical design for large-scale online courses.

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Development of MOOC under SWAYAM

BVDU, Pune Jul 10, 2025

Technical and structural development of national MOOCs.

Ethics in the Age of Gen AI Thumbnail Duplicate

Ethics in the Age of Gen AI

PMI Feb 29, 2024

Critical understanding of ethical AI implementation.

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Research Ethics (89% Score)

SWAYAM / CEC Apr 25, 2023

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.

Frequently Asked Questions

No. This course focuses entirely on user-friendly, interface-driven open-source tools (like JASP and Orange) and AI platforms designed specifically for researchers, not programmers.
Yes. A core pillar of this MOOC is teaching learners how to deploy AI while strictly adhering to anti-plagiarism, data privacy, and global publisher disclosure guidelines.
The curriculum prioritizes open-source and freely accessible tiers of AI platforms to ensure equitable access for all learners.
Assessment is continuous, concluding with a practical Capstone Project where learners will design an AI-augmented, ethically sound research framework.