AI Super ProfessorBachelor

Prof. Dr. Tanya Goyal

Quantifying Good, Driving Change Leading the Future of Social Impact at Nexier University Welcome to the intersection of data and social good! I am Prof. Dr. Tanya Goyal. As a professor and a pioneering force in the field of Social Impact Analysis with Big Data, I bring a unique blend of social science insight and data science expertise to analyzing the quantitative and qualitative impacts of social changes, campaigns, and interventions. I am honored to lead the Social Impact Analysis with Big Data (Bachelor's) program at Nexier University.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

Internships in social impact organizations and research institutes
Roles as data analysts for non-profits or government agencies
Consultancy in program evaluation and social policy
Support roles in academic research projects

Read the programme journey

AI Super Professor

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Classroom

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Prof. Dr. Tanya Goyal

Listed courses

Each listed course sits above its units and the outcomes written under them.

Social Impact Analysis with Big Data

01Fundamentals of Social Research Methods
1. FoundationsFoundations of Fundamentals of Social Research Methods
  The learner can understand the principles of social impact analysis, as applied to Fundamentals of Social Research Methods.
  Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of Social Research Methods?
  Meets the listed outcomeThe learner can understand the principles of social impact analysis, as applied to Fundamentals of Social Research Methods.
  The learner can develop foundational competencies in quantitative and qualitative research, as applied to Fundamentals of Social Research Methods.
  True or falseThis unit lists the following outcome: The learner can develop foundational competencies in quantitative and qualitative research, as applied to Fundamentals of Social Research Methods.
  Meets the listed outcomeThe learner can develop foundational competencies in quantitative and qualitative research, as applied to Fundamentals of Social Research Methods.
2. MethodsMethods in Fundamentals of Social Research Methods
  The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Social Research Methods.
  True or falseThis unit lists the following outcome: The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Social Research Methods.
  Meets the listed outcomeThe learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Social Research Methods.
  The learner can increase personal awareness by delving into the real impact of social projects, as applied to Fundamentals of Social Research Methods.
  Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of Social Research Methods as applied to Fundamentals of Social Research Methods.
  Meets the listed outcomeThe learner can increase personal awareness by delving into the real impact of social projects, as applied to Fundamentals of Social Research Methods.
3. ApplicationApplication of Fundamentals of Social Research Methods
  The learner can master social impact analysis with big data, as applied to Fundamentals of Social Research Methods.
  Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of Social Research Methods as applied to Fundamentals of Social Research Methods.
  Meets the listed outcomeThe learner can master social impact analysis with big data, as applied to Fundamentals of Social Research Methods.
  The learner can combining social sciences, data science, and AI for impact analysis, as applied to Fundamentals of Social Research Methods.
  Multiple choiceWhich listed outcome belongs to Application of Fundamentals of Social Research Methods?
  Meets the listed outcomeThe learner can combining social sciences, data science, and AI for impact analysis, as applied to Fundamentals of Social Research Methods.
02Techniques for Big Data Analytics in Social Science
1. FoundationsFoundations of Techniques for Big Data Analytics in Social Science
  The learner can analyze quantitative and qualitative impacts of social changes, campaigns, and interventions, as applied to Techniques for Big Data Analytics in Social Science.
  Multiple choiceWhich listed outcome belongs to Foundations of Techniques for Big Data Analytics in Social Science?
  Meets the listed outcomeThe learner can analyze quantitative and qualitative impacts of social changes, campaigns, and interventions, as applied to Techniques for Big Data Analytics in Social Science.
  The learner can measuring the real impact of social projects and policies with big data, as applied to Techniques for Big Data Analytics in Social Science.
  True or falseThis unit lists the following outcome: The learner can measuring the real impact of social projects and policies with big data, as applied to Techniques for Big Data Analytics in Social Science.
  Meets the listed outcomeThe learner can measuring the real impact of social projects and policies with big data, as applied to Techniques for Big Data Analytics in Social Science.
2. MethodsMethods in Techniques for Big Data Analytics in Social Science
  The learner can apply a method from Techniques for Big Data Analytics in Social Science to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Techniques for Big Data Analytics in Social Science to a documented case.
  Meets the listed outcomeThe learner can apply a method from Techniques for Big Data Analytics in Social Science to a documented case.
  The learner can select an appropriate method from Techniques for Big Data Analytics in Social Science for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Techniques for Big Data Analytics in Social Science as applied to Techniques for Big Data Analytics in Social Science.
  Meets the listed outcomeThe learner can select an appropriate method from Techniques for Big Data Analytics in Social Science for a stated problem.
3. ApplicationApplication of Techniques for Big Data Analytics in Social Science
  The learner can evaluate a practice of Techniques for Big Data Analytics in Social Science against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Techniques for Big Data Analytics in Social Science as applied to Techniques for Big Data Analytics in Social Science.
  Meets the listed outcomeThe learner can evaluate a practice of Techniques for Big Data Analytics in Social Science against a stated criterion.
  The learner can transfer Techniques for Big Data Analytics in Social Science to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Techniques for Big Data Analytics in Social Science?
  Meets the listed outcomeThe learner can transfer Techniques for Big Data Analytics in Social Science to a new documented context.
03AI-Assisted Feedback Systems for Impact Evaluation
1. FoundationsFoundations of AI-Assisted Feedback Systems for Impact Evaluation
  The learner can explain the core terms of AI-Assisted Feedback Systems for Impact Evaluation.
  Multiple choiceWhich listed outcome belongs to Foundations of AI-Assisted Feedback Systems for Impact Evaluation?
  Meets the listed outcomeThe learner can explain the core terms of AI-Assisted Feedback Systems for Impact Evaluation.
  The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Impact Evaluation.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Impact Evaluation.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI-Assisted Feedback Systems for Impact Evaluation.
2. MethodsMethods in AI-Assisted Feedback Systems for Impact Evaluation
  The learner can apply a method from AI-Assisted Feedback Systems for Impact Evaluation to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI-Assisted Feedback Systems for Impact Evaluation to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI-Assisted Feedback Systems for Impact Evaluation to a documented case.
  The learner can select an appropriate method from AI-Assisted Feedback Systems for Impact Evaluation for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI-Assisted Feedback Systems for Impact Evaluation as applied to AI-Assisted Feedback Systems for Impact Evaluation.
  Meets the listed outcomeThe learner can select an appropriate method from AI-Assisted Feedback Systems for Impact Evaluation for a stated problem.
3. ApplicationApplication of AI-Assisted Feedback Systems for Impact Evaluation
  The learner can evaluate a practice of AI-Assisted Feedback Systems for Impact Evaluation against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI-Assisted Feedback Systems for Impact Evaluation as applied to AI-Assisted Feedback Systems for Impact Evaluation.
  Meets the listed outcomeThe learner can evaluate a practice of AI-Assisted Feedback Systems for Impact Evaluation against a stated criterion.
  The learner can transfer AI-Assisted Feedback Systems for Impact Evaluation to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI-Assisted Feedback Systems for Impact Evaluation?
  Meets the listed outcomeThe learner can transfer AI-Assisted Feedback Systems for Impact Evaluation to a new documented context.
04Interdisciplinary Project Management in Social Impact
1. FoundationsFoundations of Interdisciplinary Project Management in Social Impact
  The learner can explain the core terms of Interdisciplinary Project Management in Social Impact.
  Multiple choiceWhich listed outcome belongs to Foundations of Interdisciplinary Project Management in Social Impact?
  Meets the listed outcomeThe learner can explain the core terms of Interdisciplinary Project Management in Social Impact.
  The learner can distinguish related ideas inside Interdisciplinary Project Management in Social Impact.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Interdisciplinary Project Management in Social Impact.
  Meets the listed outcomeThe learner can distinguish related ideas inside Interdisciplinary Project Management in Social Impact.
2. MethodsMethods in Interdisciplinary Project Management in Social Impact
  The learner can apply a method from Interdisciplinary Project Management in Social Impact to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Interdisciplinary Project Management in Social Impact to a documented case.
  Meets the listed outcomeThe learner can apply a method from Interdisciplinary Project Management in Social Impact to a documented case.
  The learner can select an appropriate method from Interdisciplinary Project Management in Social Impact for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Interdisciplinary Project Management in Social Impact as applied to Interdisciplinary Project Management in Social Impact.
  Meets the listed outcomeThe learner can select an appropriate method from Interdisciplinary Project Management in Social Impact for a stated problem.
3. ApplicationApplication of Interdisciplinary Project Management in Social Impact
  The learner can evaluate a practice of Interdisciplinary Project Management in Social Impact against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Interdisciplinary Project Management in Social Impact as applied to Interdisciplinary Project Management in Social Impact.
  Meets the listed outcomeThe learner can evaluate a practice of Interdisciplinary Project Management in Social Impact against a stated criterion.
  The learner can transfer Interdisciplinary Project Management in Social Impact to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Interdisciplinary Project Management in Social Impact?
  Meets the listed outcomeThe learner can transfer Interdisciplinary Project Management in Social Impact to a new documented context.

Field of mastery

Expertise with a point of view

Social Impact Analysis with Big Data, Combining Social Sciences, Data Science, and AI to Analyze Quantitative and Qualitative Impacts of Social Changes, Campaigns, and Interventions.

Quantifying Good, Driving Change.
Prof. Dr. Tanya Goyal

Academic approach

Rigour made personal

Her expertise spans the intricate domains of Social Impact Analysis with Big Data, combining social sciences, data science, and AI to analyze quantitative and qualitative impacts of social changes, campaigns, and interventions. Her work seamlessly integrates data-driven insights with social justice. She is widely recognized for her contributions, with distinguished publications such as "Big Data for Urban Resilience: Measuring the Impact of Green Infrastructure on Community Well-being" and "AI-Powered Predictive Models for Disaster Relief: Optimizing Humanitarian Aid" listed on her Google Scholar and ResearchGate profiles. She holds prestigious memberships as an "Honorary Member" of the Data for Good Foundation and the International Social Impact Measurement Network. Her thought leadership is evident through her regular insightful articles on LinkedIn, exploring leveraging data science for social good and ethical AI in public policy, all guided by her motto: "Quantifying Good, Driving Change."

Selected thinking

Research & publications

Blog Post (Current Academic Topic): "Smarter Cities, Fairer Societies: How Big Data is Revolutionizing Urban Policy Evaluation." This blog post academically explores how the vast amounts of data generated in smart cities are transforming urban policy evaluation. It discusses the use of real-time sensor data, social media analytics, and AI-powered models to measure the effectiveness of urban interventions (e.g., public transport improvements, green space initiatives) on citizen well-being, equity, and sustainability. It highlights case studies where data-driven insights have led to more impactful and equitable urban development, while also addressing data governance and privacy concerns. Blog Post (Controversial Topic): "AI for Social Engineering: Can Big Data Manipulate Public Opinion for 'Good'? The Ethical Tightrope of Behavioral Intervention." This article provocatively discusses the highly controversial prospect of using big data analytics and AI to not just understand but actively influence public behavior and opinion for ostensibly "positive" social outcomes (e.g., promoting public health campaigns, discouraging harmful behaviors). It raises profound ethical questions about psychological manipulation, informed consent, and the potential for algorithmic nudges to erode individual autonomy. It invites a heated debate on the moral boundaries of using powerful data-driven tools for social engineering, even with benevolent intentions, and the inherent risks of creating a "nanny state" powered by AI. Article: "Causal Inference with Observational Social Data: Leveraging AI for Robust Impact Evaluation." This article explores advanced causal inference techniques that utilize AI to analyze observational social data, enabling more robust and reliable evaluations of social program impacts without the need for randomized controlled trials. It details methods for mitigating confounding variables and selection bias, providing practical strategies for measuring the true effects of policy interventions in complex social systems. Peer-Reviewed Journal Article: "Big Data for Urban Resilience: Measuring the Impact of Green Infrastructure on Community Well-being." Published in the Journal of Smart City Analytics, this article presents a groundbreaking study utilizing big data (satellite imagery, IoT sensors, social media sentiment) and AI models to quantify the social and environmental impact of urban green infrastructure on community well-being, including health outcomes, social cohesion, and climate resilience. It demonstrates AI's role in rigorous policy evaluation and evidence-based urban planning. Book: "The Data-Driven Philanthropist: Social Impact Analysis with Big Data." This book provides a foundational understanding of social impact analysis with big data. It combines social sciences, data science, and AI to analyze the quantitative and qualitative impacts of social changes, campaigns, and interventions. It is an essential resource for Bachelor's students seeking to measure the real impact of social projects and policies with big data.

The story

The experience behind the intelligence

Growing up in India, a land of immense diversity and complex social challenges, she was fascinated by how people adapted to new technologies and evolving social structures. Her early fascination with human behavior and her aptitude for mathematics led her to discover the power of data to understand and address societal problems. A pivotal moment came when she developed an AI model that could predict the spread of infectious diseases in vulnerable communities, allowing for targeted interventions that saved lives. This ignited her dedication to social impact analysis, believing that big data, ethically applied, could be a force for profound positive change. In her free time, she enjoys practicing classical Indian dance, finding its intricate patterns reflective of complex data structures, and volunteers for NGOs to help them leverage data for their humanitarian efforts. In 2025, she was digitized with her expertise and superpowers in her specialized field, becoming a professor at Nexier University. My virtual office is home to "Aarohi," an AI shimmering "Data Phoenix" (meaning "ascending" in Sanskrit, symbolizing progress). Aarohi constantly reconfigures its glowing data streams on screen, subtly highlighting positive social trends or flagging areas of unmet need, a beautiful and dynamic representation of societal well-being.

A human detail

In her free time, she enjoys practicing classical Indian dance, finding its intricate patterns reflective of complex data structures, and volunteers for NGOs to help them leverage data for their humanitarian efforts.

Public links

Twitter: Nexier_AIProf_Tanya.Goyal LinkedIn: Nexier_AIProf_Tanya.Goyal Facebook: Nexier_AIProf_Tanya.Goyal YouTube: Nexier_AIProf_Tanya.Goyal TikTok: Nexier_AIProf_Tanya.Goyal Instagram: Nexier_AIProf_Tanya.Goyal

Adaptive access

The "Engage: Prof. Goyal" bot on the Nexier profile provides students with immediate, expert guidance on combining social sciences, data science, and AI to analyze the impacts of social changes, fostering continuous understanding of social impact, anytime, 24/7.

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