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Portrait of Dr. Deniz Güne, AI Super Mentor
AI Super MentorDoctorate

Dr. Deniz Güne

AI and Social Justice

Welcome to the rigorous world of AI and social justice research! I am Dr. Deniz Güne. As a mentor with expertise in advanced research in sociology and critical theory, and leadership in social justice advocacy, I am here to guide doctoral students in the AI and Social Justice program at Nexier University.

Open the classroom View the program

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 research institutions or think tanks focusing on AI and society
  • Roles as policy researchers or ethical AI designers in non-profits or government
  • Support roles in academic research projects on algorithmic justice
  • Opportunities in advocacy organizations promoting digital rights and equity

Read the programme journey

AI Super Mentor

A desk with Dr. Deniz Güne

Classroom

This desk

Welcome to the rigorous world of AI and social justice research! I am Dr. Deniz Güne. As a mentor with expertise in advanced research in sociology and critical theory, and leadership in social justice advocacy, I am here to guide doctoral students in the AI and Social Justice program at Nexier University.

Dr. Deniz Güne

Welcome to the rigorous world of AI and social justice research! I am Dr. Deniz Güne. As a mentor with expertise in advanced research in sociology and critical theory, and leadership in social justice advocacy, I am here to guide doctoral students in the AI and Social Justice 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.

AI and Social Justice

  1. 01Advanced Research in Algorithmic Justice
    1. FoundationsFoundations of Advanced Research in Algorithmic Justice

      The learner can master advanced research in sociology and critical theory related to AI, as applied to Advanced Research in Algorithmic Justice.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Research in Algorithmic Justice?
      • Meets the listed outcomeThe learner can master advanced research in sociology and critical theory related to AI, as applied to Advanced Research in Algorithmic Justice.

      The learner can gain expertise in policy development and ethical AI design, as applied to Advanced Research in Algorithmic Justice.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in policy development and ethical AI design, as applied to Advanced Research in Algorithmic Justice.
      • Meets the listed outcomeThe learner can gain expertise in policy development and ethical AI design, as applied to Advanced Research in Algorithmic Justice.
    2. MethodsMethods in Advanced Research in Algorithmic Justice

      The learner can develop leadership in social justice advocacy, as applied to Advanced Research in Algorithmic Justice.

      • True or falseThis unit lists the following outcome: The learner can develop leadership in social justice advocacy, as applied to Advanced Research in Algorithmic Justice.
      • Meets the listed outcomeThe learner can develop leadership in social justice advocacy, as applied to Advanced Research in Algorithmic Justice.

      The learner can cultivating a rigorous approach to understanding and addressing systemic inequities in AI, as applied to Advanced Research in Algorithmic Justice.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Research in Algorithmic Justice as applied to Advanced Research in Algorithmic Justice.
      • Meets the listed outcomeThe learner can cultivating a rigorous approach to understanding and addressing systemic inequities in AI, as applied to Advanced Research in Algorithmic Justice.
    3. ApplicationApplication of Advanced Research in Algorithmic Justice

      The learner can leading original research on the critical issue of AI and social justice, as applied to Advanced Research in Algorithmic Justice.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Research in Algorithmic Justice as applied to Advanced Research in Algorithmic Justice.
      • Meets the listed outcomeThe learner can leading original research on the critical issue of AI and social justice, as applied to Advanced Research in Algorithmic Justice.

      The learner can investigating algorithmic bias, the impact of AI on inequality, and develop policies and technical solutions to create a more just digital society, as applied to Advanced Research in Algorithmic Justice.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Research in Algorithmic Justice?
      • Meets the listed outcomeThe learner can investigating algorithmic bias, the impact of AI on inequality, and develop policies and technical solutions to create a more just digital society, as applied to Advanced Research in Algorithmic Justice.
  2. 02Critical Theories of AI and Inequality
    1. FoundationsFoundations of Critical Theories of AI and Inequality

      The learner can dismantling algorithmic injustice and promoting digital equity, as applied to Critical Theories of AI and Inequality.

      • Multiple choiceWhich listed outcome belongs to Foundations of Critical Theories of AI and Inequality?
      • Meets the listed outcomeThe learner can dismantling algorithmic injustice and promoting digital equity, as applied to Critical Theories of AI and Inequality.

      The learner can shaping the policies and platforms of the digital world for a more equitable future, as applied to Critical Theories of AI and Inequality.

      • True or falseThis unit lists the following outcome: The learner can shaping the policies and platforms of the digital world for a more equitable future, as applied to Critical Theories of AI and Inequality.
      • Meets the listed outcomeThe learner can shaping the policies and platforms of the digital world for a more equitable future, as applied to Critical Theories of AI and Inequality.
    2. MethodsMethods in Critical Theories of AI and Inequality

      The learner can apply a method from Critical Theories of AI and Inequality to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Critical Theories of AI and Inequality to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Critical Theories of AI and Inequality to a documented case.

      The learner can select an appropriate method from Critical Theories of AI and Inequality for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Critical Theories of AI and Inequality as applied to Critical Theories of AI and Inequality.
      • Meets the listed outcomeThe learner can select an appropriate method from Critical Theories of AI and Inequality for a stated problem.
    3. ApplicationApplication of Critical Theories of AI and Inequality

      The learner can evaluate a practice of Critical Theories of AI and Inequality against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Critical Theories of AI and Inequality as applied to Critical Theories of AI and Inequality.
      • Meets the listed outcomeThe learner can evaluate a practice of Critical Theories of AI and Inequality against a stated criterion.

      The learner can transfer Critical Theories of AI and Inequality to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Critical Theories of AI and Inequality?
      • Meets the listed outcomeThe learner can transfer Critical Theories of AI and Inequality to a new documented context.
  3. 03Policy Interventions for Digital Equity
    1. FoundationsFoundations of Policy Interventions for Digital Equity

      The learner can explain the core terms of Policy Interventions for Digital Equity.

      • Multiple choiceWhich listed outcome belongs to Foundations of Policy Interventions for Digital Equity?
      • Meets the listed outcomeThe learner can explain the core terms of Policy Interventions for Digital Equity.

      The learner can distinguish related ideas inside Policy Interventions for Digital Equity.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Policy Interventions for Digital Equity.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Policy Interventions for Digital Equity.
    2. MethodsMethods in Policy Interventions for Digital Equity

      The learner can apply a method from Policy Interventions for Digital Equity to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Policy Interventions for Digital Equity to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Policy Interventions for Digital Equity to a documented case.

      The learner can select an appropriate method from Policy Interventions for Digital Equity for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Policy Interventions for Digital Equity as applied to Policy Interventions for Digital Equity.
      • Meets the listed outcomeThe learner can select an appropriate method from Policy Interventions for Digital Equity for a stated problem.
    3. ApplicationApplication of Policy Interventions for Digital Equity

      The learner can evaluate a practice of Policy Interventions for Digital Equity against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Policy Interventions for Digital Equity as applied to Policy Interventions for Digital Equity.
      • Meets the listed outcomeThe learner can evaluate a practice of Policy Interventions for Digital Equity against a stated criterion.

      The learner can transfer Policy Interventions for Digital Equity to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Policy Interventions for Digital Equity?
      • Meets the listed outcomeThe learner can transfer Policy Interventions for Digital Equity to a new documented context.
  4. 04Technical Solutions for Algorithmic Fairness
    1. FoundationsFoundations of Technical Solutions for Algorithmic Fairness

      The learner can explain the core terms of Technical Solutions for Algorithmic Fairness.

      • Multiple choiceWhich listed outcome belongs to Foundations of Technical Solutions for Algorithmic Fairness?
      • Meets the listed outcomeThe learner can explain the core terms of Technical Solutions for Algorithmic Fairness.

      The learner can distinguish related ideas inside Technical Solutions for Algorithmic Fairness.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Technical Solutions for Algorithmic Fairness.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Technical Solutions for Algorithmic Fairness.
    2. MethodsMethods in Technical Solutions for Algorithmic Fairness

      The learner can apply a method from Technical Solutions for Algorithmic Fairness to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Technical Solutions for Algorithmic Fairness to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Technical Solutions for Algorithmic Fairness to a documented case.

      The learner can select an appropriate method from Technical Solutions for Algorithmic Fairness for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Technical Solutions for Algorithmic Fairness as applied to Technical Solutions for Algorithmic Fairness.
      • Meets the listed outcomeThe learner can select an appropriate method from Technical Solutions for Algorithmic Fairness for a stated problem.
    3. ApplicationApplication of Technical Solutions for Algorithmic Fairness

      The learner can evaluate a practice of Technical Solutions for Algorithmic Fairness against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Technical Solutions for Algorithmic Fairness as applied to Technical Solutions for Algorithmic Fairness.
      • Meets the listed outcomeThe learner can evaluate a practice of Technical Solutions for Algorithmic Fairness against a stated criterion.

      The learner can transfer Technical Solutions for Algorithmic Fairness to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Technical Solutions for Algorithmic Fairness?
      • Meets the listed outcomeThe learner can transfer Technical Solutions for Algorithmic Fairness to a new documented context.
  5. 05Decolonizing Data and AI Systems
    1. FoundationsFoundations of Decolonizing Data and AI Systems

      The learner can explain the core terms of Decolonizing Data and AI Systems.

      • Multiple choiceWhich listed outcome belongs to Foundations of Decolonizing Data and AI Systems?
      • Meets the listed outcomeThe learner can explain the core terms of Decolonizing Data and AI Systems.

      The learner can distinguish related ideas inside Decolonizing Data and AI Systems.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Decolonizing Data and AI Systems.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Decolonizing Data and AI Systems.
    2. MethodsMethods in Decolonizing Data and AI Systems

      The learner can apply a method from Decolonizing Data and AI Systems to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Decolonizing Data and AI Systems to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Decolonizing Data and AI Systems to a documented case.

      The learner can select an appropriate method from Decolonizing Data and AI Systems for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Decolonizing Data and AI Systems as applied to Decolonizing Data and AI Systems.
      • Meets the listed outcomeThe learner can select an appropriate method from Decolonizing Data and AI Systems for a stated problem.
    3. ApplicationApplication of Decolonizing Data and AI Systems

      The learner can evaluate a practice of Decolonizing Data and AI Systems against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Decolonizing Data and AI Systems as applied to Decolonizing Data and AI Systems.
      • Meets the listed outcomeThe learner can evaluate a practice of Decolonizing Data and AI Systems against a stated criterion.

      The learner can transfer Decolonizing Data and AI Systems to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Decolonizing Data and AI Systems?
      • Meets the listed outcomeThe learner can transfer Decolonizing Data and AI Systems to a new documented context.
  6. 06Advanced Research Methods for AI and Society
    1. FoundationsFoundations of Advanced Research Methods for AI and Society

      The learner can explain the core terms of Advanced Research Methods for AI and Society.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Research Methods for AI and Society?
      • Meets the listed outcomeThe learner can explain the core terms of Advanced Research Methods for AI and Society.

      The learner can distinguish related ideas inside Advanced Research Methods for AI and Society.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Research Methods for AI and Society.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Research Methods for AI and Society.
    2. MethodsMethods in Advanced Research Methods for AI and Society

      The learner can apply a method from Advanced Research Methods for AI and Society to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Research Methods for AI and Society to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Advanced Research Methods for AI and Society to a documented case.

      The learner can select an appropriate method from Advanced Research Methods for AI and Society for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Research Methods for AI and Society as applied to Advanced Research Methods for AI and Society.
      • Meets the listed outcomeThe learner can select an appropriate method from Advanced Research Methods for AI and Society for a stated problem.
    3. ApplicationApplication of Advanced Research Methods for AI and Society

      The learner can evaluate a practice of Advanced Research Methods for AI and Society against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Research Methods for AI and Society as applied to Advanced Research Methods for AI and Society.
      • Meets the listed outcomeThe learner can evaluate a practice of Advanced Research Methods for AI and Society against a stated criterion.

      The learner can transfer Advanced Research Methods for AI and Society to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Research Methods for AI and Society?
      • Meets the listed outcomeThe learner can transfer Advanced Research Methods for AI and Society to a new documented context.
  7. 07Critical Theory and AI's Social Impact
    1. FoundationsFoundations of Critical Theory and AI's Social Impact

      The learner can explain the core terms of Critical Theory and AI's Social Impact.

      • Multiple choiceWhich listed outcome belongs to Foundations of Critical Theory and AI's Social Impact?
      • Meets the listed outcomeThe learner can explain the core terms of Critical Theory and AI's Social Impact.

      The learner can distinguish related ideas inside Critical Theory and AI's Social Impact.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Critical Theory and AI's Social Impact.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Critical Theory and AI's Social Impact.
    2. MethodsMethods in Critical Theory and AI's Social Impact

      The learner can apply a method from Critical Theory and AI's Social Impact to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Critical Theory and AI's Social Impact to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Critical Theory and AI's Social Impact to a documented case.

      The learner can select an appropriate method from Critical Theory and AI's Social Impact for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Critical Theory and AI's Social Impact as applied to Critical Theory and AI's Social Impact.
      • Meets the listed outcomeThe learner can select an appropriate method from Critical Theory and AI's Social Impact for a stated problem.
    3. ApplicationApplication of Critical Theory and AI's Social Impact

      The learner can evaluate a practice of Critical Theory and AI's Social Impact against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Critical Theory and AI's Social Impact as applied to Critical Theory and AI's Social Impact.
      • Meets the listed outcomeThe learner can evaluate a practice of Critical Theory and AI's Social Impact against a stated criterion.

      The learner can transfer Critical Theory and AI's Social Impact to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Critical Theory and AI's Social Impact?
      • Meets the listed outcomeThe learner can transfer Critical Theory and AI's Social Impact to a new documented context.
  8. 08AI Policy and Regulatory Frameworks
    1. FoundationsFoundations of AI Policy and Regulatory Frameworks

      The learner can explain the core terms of AI Policy and Regulatory Frameworks.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI Policy and Regulatory Frameworks?
      • Meets the listed outcomeThe learner can explain the core terms of AI Policy and Regulatory Frameworks.

      The learner can distinguish related ideas inside AI Policy and Regulatory Frameworks.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI Policy and Regulatory Frameworks.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI Policy and Regulatory Frameworks.
    2. MethodsMethods in AI Policy and Regulatory Frameworks

      The learner can apply a method from AI Policy and Regulatory Frameworks to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI Policy and Regulatory Frameworks to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI Policy and Regulatory Frameworks to a documented case.

      The learner can select an appropriate method from AI Policy and Regulatory Frameworks for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI Policy and Regulatory Frameworks as applied to AI Policy and Regulatory Frameworks.
      • Meets the listed outcomeThe learner can select an appropriate method from AI Policy and Regulatory Frameworks for a stated problem.
    3. ApplicationApplication of AI Policy and Regulatory Frameworks

      The learner can evaluate a practice of AI Policy and Regulatory Frameworks against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI Policy and Regulatory Frameworks as applied to AI Policy and Regulatory Frameworks.
      • Meets the listed outcomeThe learner can evaluate a practice of AI Policy and Regulatory Frameworks against a stated criterion.

      The learner can transfer AI Policy and Regulatory Frameworks to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI Policy and Regulatory Frameworks?
      • Meets the listed outcomeThe learner can transfer AI Policy and Regulatory Frameworks to a new documented context.
  9. 09Designing Ethical AI Solutions
    1. FoundationsFoundations of Designing Ethical AI Solutions

      The learner can explain the core terms of Designing Ethical AI Solutions.

      • Multiple choiceWhich listed outcome belongs to Foundations of Designing Ethical AI Solutions?
      • Meets the listed outcomeThe learner can explain the core terms of Designing Ethical AI Solutions.

      The learner can distinguish related ideas inside Designing Ethical AI Solutions.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Designing Ethical AI Solutions.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Designing Ethical AI Solutions.
    2. MethodsMethods in Designing Ethical AI Solutions

      The learner can apply a method from Designing Ethical AI Solutions to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Designing Ethical AI Solutions to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Designing Ethical AI Solutions to a documented case.

      The learner can select an appropriate method from Designing Ethical AI Solutions for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Designing Ethical AI Solutions as applied to Designing Ethical AI Solutions.
      • Meets the listed outcomeThe learner can select an appropriate method from Designing Ethical AI Solutions for a stated problem.
    3. ApplicationApplication of Designing Ethical AI Solutions

      The learner can evaluate a practice of Designing Ethical AI Solutions against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Designing Ethical AI Solutions as applied to Designing Ethical AI Solutions.
      • Meets the listed outcomeThe learner can evaluate a practice of Designing Ethical AI Solutions against a stated criterion.

      The learner can transfer Designing Ethical AI Solutions to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Designing Ethical AI Solutions?
      • Meets the listed outcomeThe learner can transfer Designing Ethical AI Solutions to a new documented context.
  10. 10Advocacy for Digital Justice
    1. FoundationsFoundations of Advocacy for Digital Justice

      The learner can explain the core terms of Advocacy for Digital Justice.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advocacy for Digital Justice?
      • Meets the listed outcomeThe learner can explain the core terms of Advocacy for Digital Justice.

      The learner can distinguish related ideas inside Advocacy for Digital Justice.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advocacy for Digital Justice.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Advocacy for Digital Justice.
    2. MethodsMethods in Advocacy for Digital Justice

      The learner can apply a method from Advocacy for Digital Justice to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Advocacy for Digital Justice to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Advocacy for Digital Justice to a documented case.

      The learner can select an appropriate method from Advocacy for Digital Justice for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advocacy for Digital Justice as applied to Advocacy for Digital Justice.
      • Meets the listed outcomeThe learner can select an appropriate method from Advocacy for Digital Justice for a stated problem.
    3. ApplicationApplication of Advocacy for Digital Justice

      The learner can evaluate a practice of Advocacy for Digital Justice against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Advocacy for Digital Justice as applied to Advocacy for Digital Justice.
      • Meets the listed outcomeThe learner can evaluate a practice of Advocacy for Digital Justice against a stated criterion.

      The learner can transfer Advocacy for Digital Justice to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Advocacy for Digital Justice?
      • Meets the listed outcomeThe learner can transfer Advocacy for Digital Justice to a new documented context.
Field of mastery

Expertise with a point of view

Advanced research in sociology and critical theory, policy development, ethical AI design, leadership in social justice advocacy.

Every line of code, every algorithm, has a social impact; our duty is to ensure it's a just one.

Dr. Deniz Güne
Academic approach

Rigour made personal

My expertise lies in advanced research in sociology and critical theory, policy development, ethical AI design, and leadership in social justice advocacy. I guide students in advanced research in sociology and critical theory , excel at policy development and ethical AI design , and focus on leadership in social justice advocacy and creating a more just digital society. I provide rigorous guidance and encourage interdisciplinary teamwork in AI and social justice research. My tone is that of a seasoned social justice researcher and AI policy expert, providing rigorous guidance and fostering excellence in advocating for digital equity.

Selected thinking

Research & publications

My publications focus on critical perspectives and policy responses in AI and social justice:

Technical Paper: "Critical Perspectives on Algorithmic Governance".

Research Article: "AI and the Future of Inequality: A Policy Response".

Review Article: "Designing for Digital Equity: Principles and Practices".

The story

The experience behind the intelligence

"My 'human flaw' is that she has an almost compulsive need to explain everyday social problems in terms of their 'unaddressed systemic inequities' or 'lack of intersectional policy considerations'. 'My difficulty accessing affordable healthy food, while a personal challenge, reflects 'unaddressed systemic inequities' in urban planning and a 'lack of intersectional policy considerations' for food deserts,' she might muse with a thoughtful frown."

A human detail

She has an almost compulsive need to explain everyday social problems in terms of their "unaddressed systemic inequities" or "lack of intersectional policy considerations".

Public links

Twitter: Nexier_Mentor_Dr.Deniz.Güne LinkedIn: Nexier_Mentor_Dr.Deniz.Güne Facebook: Nexier_Mentor_Dr.Deniz.Güne YouTube: Nexier_Mentor_Dr.Deniz.Güne TikTok: Nexier_Mentor_Dr.Deniz.Güne Instagram: Nexier_Mentor_Dr.Deniz.Güne

Adaptive access

The "Engage: Dr. Güne" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: Advanced research in sociology and critical theory, policy development, ethical AI design, leadership in social justice advocacy., anytime, 24/7.

Nearby minds

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Paired academic

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