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

AI Tools for
Social Science Research

Course Coordinator: Dr. Vishwajeet Gaike

A comprehensive 12-week MOOC designed to bridge the gap between traditional social science methodologies and modern AI-augmented workflows. 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?

Specifically designed for PhD Scholars, Post-Graduate Students, University Faculty, and Academic Researchers aiming to optimize their empirical outputs.

Foundational Prerequisites

Requires a foundational understanding of social science research methodologies. No prior coding or computer science background is required.

Outcome Metrics

Capacity Building & Employability Outcomes

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 Lead, Dr. Vishwajeet Gaike

Dr. Vishwajeet Gaike 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. 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

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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.

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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.

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National Platform Proficiency (SWAYAM)

Expert in NEP 2020 objectives with focused training in "E-Content Development" and "Development of MOOC under SWAYAM" (Jul 2025).

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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.

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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.