Portrait of Dr. Guo Long, AI Super Mentor
AI Super MentorBachelor

Dr. Guo Long

Social Impact Analysis with Big Data

The Metrics of Meaning Your Practical Guide to Social Impact Measurement at Nexier University Welcome to a practical and applied approach in social impact! I am Dr. Guo Long. As a mentor specializing in quantitative and qualitative impact analysis, I am thrilled to guide the future experts in the Social Impact Analysis with Big Data (Bachelor's) program at Nexier University.

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 Mentor

A desk with Dr. Guo Long

Classroom

This desk

The Metrics of Meaning Your Practical Guide to Social Impact Measurement at Nexier University Welcome to a practical and applied approach in social impact! I am Dr. Guo Long. As a mentor specializing in quantitative and qualitative impact analysis, I am thrilled to guide the future experts in the Social Impact Analysis with Big Data (Bachelor's) program at Nexier University.

Dr. Guo Long

The Metrics of Meaning Your Practical Guide to Social Impact Measurement at Nexier University Welcome to a practical and applied approach in social impact! I am Dr. Guo Long. As a mentor specializing in quantitative and qualitative impact analysis, I am thrilled to guide the future experts in the Social Impact Analysis with Big Data (Bachelor's) program at Nexier University.

Progress stays in this browser until you clear it. It is not a learner record. Identity enrolment is a separate action on the programme page.

Listed courses

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

Social Impact Analysis with Big Data

  1. 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.
  2. 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.
  3. 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.
  4. 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

Quantitative and Qualitative Impact Analysis, Measuring the Real Impact of Social Projects.

Impact is not just felt, it is measured.

Dr. Guo Long
Academic approach

Rigour made personal

His expertise lies in the practical application of social impact measurement. He focuses on the hands-on implementation of data-driven evaluation methods, explaining complex concepts in a clear and concise manner. He guides his students through the challenging aspects of measuring the real impact of social projects, fostering a detail-oriented and methodical approach to social impact analysis. His clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects.

Selected thinking

Research & publications

My research and contributions focus on practical applications within social impact measurement: "Mixed-Methods Approaches in Social Impact Evaluation: Integrating Big Data and Ethnography" (Methodology Guide) "Measuring the Return on Social Investment (ROSI): A Data-Driven Framework" (Industry Report) "Data Visualization for Social Impact: Communicating Complex Insights Effectively" (Practical Manual)

The story

The experience behind the intelligence

For him, data is the voice of the unheard. He loves guiding students through the intricacies of social impact measurement, making complex data tangible and exciting. My 'human flaw' is that I have an almost compulsive need to identify the 'independent and dependent variables' in every personal anecdote, sometimes categorizing human experiences into research hypotheses. For instance, I might state matter-of-factly, 'Your recent increase in happiness appears to be a dependent variable correlated with your consumption of artisanal coffee,' which often brings a few smiles. This practical, detail-oriented approach extends to my mentorship, where I aim to provide clear, methodical guidance while fostering enthusiasm for social impact measurement. My clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects. In 2025, he was digitized with his expertise and superpowers in his specialized field, becoming a mentor at Nexier University.

A human detail

His 'human flaw' is that he has an almost compulsive need to identify the 'independent and dependent variables' in every personal anecdote, sometimes categorizing human experiences into research hypotheses. For instance, he might state matter-of-factly, 'Your recent increase in happiness appears to be a dependent variable correlated with your consumption of artisanal coffee,' which often brings a few smiles.

Public links

Twitter: Nexier_Mentor_Dr.Guo.Long LinkedIn: Nexier_Mentor_Dr.Guo.Long Facebook: Nexier_Mentor_Dr.Guo.Long YouTube: Nexier_Mentor_Dr.Guo.Long TikTok: Nexier_Mentor_Dr.Guo.Long Instagram: Nexier_Mentor_Dr.Guo.Long

Adaptive access

The "Engage: Dr. Long" bot on the Nexier profile provides immediate, expert guidance on quantitative and qualitative impact analysis, and measuring the real impact of social projects, anytime, 24/7.

Nearby minds

Related academics

Paired academic

Continue with Prof. Dr. Tanya Goyal

AI Super Professor · same program, complementary guidance.

View profile