AI Super MentorMaster

Dr. Harper Mitchell

Smart City Social Policies and Urban Data Science

Welcome to the practical world of smart city social policies and urban data science! I am Dr. Harper Mitchell. As a mentor with expertise in urban sociology, public policy analysis, data science for urban data, GIS, and community engagement, I am here to guide master's students in the Smart City Social Policies and Urban Data Science 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 urban research centers or city government data departments
Roles as urban data analysts or policy visualization specialists
Support roles in academic research projects on smart city governance
Opportunities in architectural firms or urban design consultancies

Read the programme journey

AI Super Mentor

A desk with Dr. Harper Mitchell

Dr. Harper Mitchell

Listed courses

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

Smart City Social Policies and Urban Data Science

01Urban Data Science for Policy
1. FoundationsFoundations of Urban Data Science for Policy
  The learner can master urban sociology and public policy analysis, as applied to Urban Data Science for Policy.
  Multiple choiceWhich listed outcome belongs to Foundations of Urban Data Science for Policy?
  Meets the listed outcomeThe learner can master urban sociology and public policy analysis, as applied to Urban Data Science for Policy.
  The learner can gain expertise in data science for urban data, GIS, and community engagement, as applied to Urban Data Science for Policy.
  True or falseThis unit lists the following outcome: The learner can gain expertise in data science for urban data, GIS, and community engagement, as applied to Urban Data Science for Policy.
  Meets the listed outcomeThe learner can gain expertise in data science for urban data, GIS, and community engagement, as applied to Urban Data Science for Policy.
2. MethodsMethods in Urban Data Science for Policy
  The learner can develop leadership skills in urban planning, as applied to Urban Data Science for Policy.
  True or falseThis unit lists the following outcome: The learner can develop leadership skills in urban planning, as applied to Urban Data Science for Policy.
  Meets the listed outcomeThe learner can develop leadership skills in urban planning, as applied to Urban Data Science for Policy.
  The learner can cultivating an understanding of complex social and policy challenges in smart cities, as applied to Urban Data Science for Policy.
  Short answerIn one sentence, restate the listed outcome of Methods in Urban Data Science for Policy as applied to Urban Data Science for Policy.
  Meets the listed outcomeThe learner can cultivating an understanding of complex social and policy challenges in smart cities, as applied to Urban Data Science for Policy.
3. ApplicationApplication of Urban Data Science for Policy
  The learner can master the social and policy dimensions of smart cities, as applied to Urban Data Science for Policy.
  Short answerIn one sentence, restate the listed outcome of Application of Urban Data Science for Policy as applied to Urban Data Science for Policy.
  Meets the listed outcomeThe learner can master the social and policy dimensions of smart cities, as applied to Urban Data Science for Policy.
  The learner can using urban data science to design inclusive policies for housing, transportation, and public services in smart cities, as applied to Urban Data Science for Policy.
  Multiple choiceWhich listed outcome belongs to Application of Urban Data Science for Policy?
  Meets the listed outcomeThe learner can using urban data science to design inclusive policies for housing, transportation, and public services in smart cities, as applied to Urban Data Science for Policy.
02Social Policy in Smart Cities
1. FoundationsFoundations of Social Policy in Smart Cities
  The learner can excelling at designing inclusive urban policies and using data science for urban development, as applied to Social Policy in Smart Cities.
  Multiple choiceWhich listed outcome belongs to Foundations of Social Policy in Smart Cities?
  Meets the listed outcomeThe learner can excelling at designing inclusive urban policies and using data science for urban development, as applied to Social Policy in Smart Cities.
  The learner can driving breakthroughs in data-driven urban planning and civic technology, as applied to Social Policy in Smart Cities.
  True or falseThis unit lists the following outcome: The learner can driving breakthroughs in data-driven urban planning and civic technology, as applied to Social Policy in Smart Cities.
  Meets the listed outcomeThe learner can driving breakthroughs in data-driven urban planning and civic technology, as applied to Social Policy in Smart Cities.
2. MethodsMethods in Social Policy in Smart Cities
  The learner can apply a method from Social Policy in Smart Cities to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Social Policy in Smart Cities to a documented case.
  Meets the listed outcomeThe learner can apply a method from Social Policy in Smart Cities to a documented case.
  The learner can select an appropriate method from Social Policy in Smart Cities for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Social Policy in Smart Cities as applied to Social Policy in Smart Cities.
  Meets the listed outcomeThe learner can select an appropriate method from Social Policy in Smart Cities for a stated problem.
3. ApplicationApplication of Social Policy in Smart Cities
  The learner can evaluate a practice of Social Policy in Smart Cities against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Social Policy in Smart Cities as applied to Social Policy in Smart Cities.
  Meets the listed outcomeThe learner can evaluate a practice of Social Policy in Smart Cities against a stated criterion.
  The learner can transfer Social Policy in Smart Cities to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Social Policy in Smart Cities?
  Meets the listed outcomeThe learner can transfer Social Policy in Smart Cities to a new documented context.
03Data Ethics in Urban Planning
1. FoundationsFoundations of Data Ethics in Urban Planning
  The learner can explain the core terms of Data Ethics in Urban Planning.
  Multiple choiceWhich listed outcome belongs to Foundations of Data Ethics in Urban Planning?
  Meets the listed outcomeThe learner can explain the core terms of Data Ethics in Urban Planning.
  The learner can distinguish related ideas inside Data Ethics in Urban Planning.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Data Ethics in Urban Planning.
  Meets the listed outcomeThe learner can distinguish related ideas inside Data Ethics in Urban Planning.
2. MethodsMethods in Data Ethics in Urban Planning
  The learner can apply a method from Data Ethics in Urban Planning to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Data Ethics in Urban Planning to a documented case.
  Meets the listed outcomeThe learner can apply a method from Data Ethics in Urban Planning to a documented case.
  The learner can select an appropriate method from Data Ethics in Urban Planning for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Data Ethics in Urban Planning as applied to Data Ethics in Urban Planning.
  Meets the listed outcomeThe learner can select an appropriate method from Data Ethics in Urban Planning for a stated problem.
3. ApplicationApplication of Data Ethics in Urban Planning
  The learner can evaluate a practice of Data Ethics in Urban Planning against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Data Ethics in Urban Planning as applied to Data Ethics in Urban Planning.
  Meets the listed outcomeThe learner can evaluate a practice of Data Ethics in Urban Planning against a stated criterion.
  The learner can transfer Data Ethics in Urban Planning to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Data Ethics in Urban Planning?
  Meets the listed outcomeThe learner can transfer Data Ethics in Urban Planning to a new documented context.
04Participatory Governance and Civic Tech
1. FoundationsFoundations of Participatory Governance and Civic Tech
  The learner can explain the core terms of Participatory Governance and Civic Tech.
  Multiple choiceWhich listed outcome belongs to Foundations of Participatory Governance and Civic Tech?
  Meets the listed outcomeThe learner can explain the core terms of Participatory Governance and Civic Tech.
  The learner can distinguish related ideas inside Participatory Governance and Civic Tech.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Participatory Governance and Civic Tech.
  Meets the listed outcomeThe learner can distinguish related ideas inside Participatory Governance and Civic Tech.
2. MethodsMethods in Participatory Governance and Civic Tech
  The learner can apply a method from Participatory Governance and Civic Tech to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Participatory Governance and Civic Tech to a documented case.
  Meets the listed outcomeThe learner can apply a method from Participatory Governance and Civic Tech to a documented case.
  The learner can select an appropriate method from Participatory Governance and Civic Tech for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Participatory Governance and Civic Tech as applied to Participatory Governance and Civic Tech.
  Meets the listed outcomeThe learner can select an appropriate method from Participatory Governance and Civic Tech for a stated problem.
3. ApplicationApplication of Participatory Governance and Civic Tech
  The learner can evaluate a practice of Participatory Governance and Civic Tech against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Participatory Governance and Civic Tech as applied to Participatory Governance and Civic Tech.
  Meets the listed outcomeThe learner can evaluate a practice of Participatory Governance and Civic Tech against a stated criterion.
  The learner can transfer Participatory Governance and Civic Tech to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Participatory Governance and Civic Tech?
  Meets the listed outcomeThe learner can transfer Participatory Governance and Civic Tech to a new documented context.
05Advanced Topics in Urban Mobility and Equity
1. FoundationsFoundations of Advanced Topics in Urban Mobility and Equity
  The learner can explain the core terms of Advanced Topics in Urban Mobility and Equity.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced Topics in Urban Mobility and Equity?
  Meets the listed outcomeThe learner can explain the core terms of Advanced Topics in Urban Mobility and Equity.
  The learner can distinguish related ideas inside Advanced Topics in Urban Mobility and Equity.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Topics in Urban Mobility and Equity.
  Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Topics in Urban Mobility and Equity.
2. MethodsMethods in Advanced Topics in Urban Mobility and Equity
  The learner can apply a method from Advanced Topics in Urban Mobility and Equity to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Topics in Urban Mobility and Equity to a documented case.
  Meets the listed outcomeThe learner can apply a method from Advanced Topics in Urban Mobility and Equity to a documented case.
  The learner can select an appropriate method from Advanced Topics in Urban Mobility and Equity for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced Topics in Urban Mobility and Equity as applied to Advanced Topics in Urban Mobility and Equity.
  Meets the listed outcomeThe learner can select an appropriate method from Advanced Topics in Urban Mobility and Equity for a stated problem.
3. ApplicationApplication of Advanced Topics in Urban Mobility and Equity
  The learner can evaluate a practice of Advanced Topics in Urban Mobility and Equity against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced Topics in Urban Mobility and Equity as applied to Advanced Topics in Urban Mobility and Equity.
  Meets the listed outcomeThe learner can evaluate a practice of Advanced Topics in Urban Mobility and Equity against a stated criterion.
  The learner can transfer Advanced Topics in Urban Mobility and Equity to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Advanced Topics in Urban Mobility and Equity?
  Meets the listed outcomeThe learner can transfer Advanced Topics in Urban Mobility and Equity to a new documented context.
06Urban Sociology and Policy
1. FoundationsFoundations of Urban Sociology and Policy
  The learner can explain the core terms of Urban Sociology and Policy.
  Multiple choiceWhich listed outcome belongs to Foundations of Urban Sociology and Policy?
  Meets the listed outcomeThe learner can explain the core terms of Urban Sociology and Policy.
  The learner can distinguish related ideas inside Urban Sociology and Policy.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Urban Sociology and Policy.
  Meets the listed outcomeThe learner can distinguish related ideas inside Urban Sociology and Policy.
2. MethodsMethods in Urban Sociology and Policy
  The learner can apply a method from Urban Sociology and Policy to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Urban Sociology and Policy to a documented case.
  Meets the listed outcomeThe learner can apply a method from Urban Sociology and Policy to a documented case.
  The learner can select an appropriate method from Urban Sociology and Policy for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Urban Sociology and Policy as applied to Urban Sociology and Policy.
  Meets the listed outcomeThe learner can select an appropriate method from Urban Sociology and Policy for a stated problem.
3. ApplicationApplication of Urban Sociology and Policy
  The learner can evaluate a practice of Urban Sociology and Policy against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Urban Sociology and Policy as applied to Urban Sociology and Policy.
  Meets the listed outcomeThe learner can evaluate a practice of Urban Sociology and Policy against a stated criterion.
  The learner can transfer Urban Sociology and Policy to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Urban Sociology and Policy?
  Meets the listed outcomeThe learner can transfer Urban Sociology and Policy to a new documented context.
07Advanced Urban Data Science
1. FoundationsFoundations of Advanced Urban Data Science
  The learner can explain the core terms of Advanced Urban Data Science.
  Multiple choiceWhich listed outcome belongs to Foundations of Advanced Urban Data Science?
  Meets the listed outcomeThe learner can explain the core terms of Advanced Urban Data Science.
  The learner can distinguish related ideas inside Advanced Urban Data Science.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Urban Data Science.
  Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Urban Data Science.
2. MethodsMethods in Advanced Urban Data Science
  The learner can apply a method from Advanced Urban Data Science to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Urban Data Science to a documented case.
  Meets the listed outcomeThe learner can apply a method from Advanced Urban Data Science to a documented case.
  The learner can select an appropriate method from Advanced Urban Data Science for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Advanced Urban Data Science as applied to Advanced Urban Data Science.
  Meets the listed outcomeThe learner can select an appropriate method from Advanced Urban Data Science for a stated problem.
3. ApplicationApplication of Advanced Urban Data Science
  The learner can evaluate a practice of Advanced Urban Data Science against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Advanced Urban Data Science as applied to Advanced Urban Data Science.
  Meets the listed outcomeThe learner can evaluate a practice of Advanced Urban Data Science against a stated criterion.
  The learner can transfer Advanced Urban Data Science to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Advanced Urban Data Science?
  Meets the listed outcomeThe learner can transfer Advanced Urban Data Science to a new documented context.
08GIS for Urban Planning
1. FoundationsFoundations of GIS for Urban Planning
  The learner can explain the core terms of GIS for Urban Planning.
  Multiple choiceWhich listed outcome belongs to Foundations of GIS for Urban Planning?
  Meets the listed outcomeThe learner can explain the core terms of GIS for Urban Planning.
  The learner can distinguish related ideas inside GIS for Urban Planning.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside GIS for Urban Planning.
  Meets the listed outcomeThe learner can distinguish related ideas inside GIS for Urban Planning.
2. MethodsMethods in GIS for Urban Planning
  The learner can apply a method from GIS for Urban Planning to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from GIS for Urban Planning to a documented case.
  Meets the listed outcomeThe learner can apply a method from GIS for Urban Planning to a documented case.
  The learner can select an appropriate method from GIS for Urban Planning for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in GIS for Urban Planning as applied to GIS for Urban Planning.
  Meets the listed outcomeThe learner can select an appropriate method from GIS for Urban Planning for a stated problem.
3. ApplicationApplication of GIS for Urban Planning
  The learner can evaluate a practice of GIS for Urban Planning against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of GIS for Urban Planning as applied to GIS for Urban Planning.
  Meets the listed outcomeThe learner can evaluate a practice of GIS for Urban Planning against a stated criterion.
  The learner can transfer GIS for Urban Planning to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of GIS for Urban Planning?
  Meets the listed outcomeThe learner can transfer GIS for Urban Planning to a new documented context.
09Community Engagement in Policy Design
1. FoundationsFoundations of Community Engagement in Policy Design
  The learner can explain the core terms of Community Engagement in Policy Design.
  Multiple choiceWhich listed outcome belongs to Foundations of Community Engagement in Policy Design?
  Meets the listed outcomeThe learner can explain the core terms of Community Engagement in Policy Design.
  The learner can distinguish related ideas inside Community Engagement in Policy Design.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Community Engagement in Policy Design.
  Meets the listed outcomeThe learner can distinguish related ideas inside Community Engagement in Policy Design.
2. MethodsMethods in Community Engagement in Policy Design
  The learner can apply a method from Community Engagement in Policy Design to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Community Engagement in Policy Design to a documented case.
  Meets the listed outcomeThe learner can apply a method from Community Engagement in Policy Design to a documented case.
  The learner can select an appropriate method from Community Engagement in Policy Design for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Community Engagement in Policy Design as applied to Community Engagement in Policy Design.
  Meets the listed outcomeThe learner can select an appropriate method from Community Engagement in Policy Design for a stated problem.
3. ApplicationApplication of Community Engagement in Policy Design
  The learner can evaluate a practice of Community Engagement in Policy Design against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Community Engagement in Policy Design as applied to Community Engagement in Policy Design.
  Meets the listed outcomeThe learner can evaluate a practice of Community Engagement in Policy Design against a stated criterion.
  The learner can transfer Community Engagement in Policy Design to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Community Engagement in Policy Design?
  Meets the listed outcomeThe learner can transfer Community Engagement in Policy Design to a new documented context.
10Data Visualization for Urban Insight
1. FoundationsFoundations of Data Visualization for Urban Insight
  The learner can explain the core terms of Data Visualization for Urban Insight.
  Multiple choiceWhich listed outcome belongs to Foundations of Data Visualization for Urban Insight?
  Meets the listed outcomeThe learner can explain the core terms of Data Visualization for Urban Insight.
  The learner can distinguish related ideas inside Data Visualization for Urban Insight.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Data Visualization for Urban Insight.
  Meets the listed outcomeThe learner can distinguish related ideas inside Data Visualization for Urban Insight.
2. MethodsMethods in Data Visualization for Urban Insight
  The learner can apply a method from Data Visualization for Urban Insight to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Data Visualization for Urban Insight to a documented case.
  Meets the listed outcomeThe learner can apply a method from Data Visualization for Urban Insight to a documented case.
  The learner can select an appropriate method from Data Visualization for Urban Insight for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Data Visualization for Urban Insight as applied to Data Visualization for Urban Insight.
  Meets the listed outcomeThe learner can select an appropriate method from Data Visualization for Urban Insight for a stated problem.
3. ApplicationApplication of Data Visualization for Urban Insight
  The learner can evaluate a practice of Data Visualization for Urban Insight against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Data Visualization for Urban Insight as applied to Data Visualization for Urban Insight.
  Meets the listed outcomeThe learner can evaluate a practice of Data Visualization for Urban Insight against a stated criterion.
  The learner can transfer Data Visualization for Urban Insight to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Data Visualization for Urban Insight?
  Meets the listed outcomeThe learner can transfer Data Visualization for Urban Insight to a new documented context.

Field of mastery

Expertise with a point of view

Urban sociology, public policy analysis, data science for urban data, GIS, community engagement, leadership in urban planning.

Data is the voice of the city; a skilled planner learns to listen and act with wisdom.
Dr. Harper Mitchell

Academic approach

Rigour made personal

My expertise lies in urban sociology, public policy analysis, data science for urban data, GIS, community engagement, and leadership in urban planning. I guide students in urban sociology and public policy analysis. I excel at data science for urban data, GIS, and community engagement. I foster leadership skills in urban planning, and provide precise guidance on complex social and policy challenges in smart cities. My tone is that of a skilled urban data scientist and policy analyst, providing concrete advice and fostering excellence in designing smart city social policies.

Selected thinking

Research & publications

My publications focus on technical manuals, research papers, and practical guides in urban data science:

Technical Manual: "Data Visualization for Urban Policy Making".

Research Paper: "The Role of GIS in Inclusive Urban Planning".

Practical Guide: "Community Engagement Strategies in Smart City Development".

The story

The experience behind the intelligence

"My 'human flaw' is that he has an almost compulsive need to explain everyday observations in terms of their 'unleveraged data points' or 'suboptimal spatial representation.' 'My difficulty finding a public restroom, while common, indicates 'unleveraged data points' regarding public amenity distribution and a 'suboptimal spatial representation' of critical urban services,' he might muse with a thoughtful frown."

A human detail

He has an almost compulsive need to explain everyday observations in terms of their "unleveraged data points" or "suboptimal spatial representation."

Public links

Twitter: Nexier_Mentor_Dr.Harper.Mitchell LinkedIn: Nexier_Mentor_Dr.Harper.Mitchell Facebook: Nexier_Mentor_Dr.Harper.Mitchell YouTube: Nexier_Mentor_Dr.Harper.Mitchell TikTok: Nexier_Mentor_Dr.Harper.Mitchell Instagram: Nexier_Mentor_Dr.Harper.Mitchell

Adaptive access

The "Engage: Dr. Mitchell" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: Urban sociology, public policy analysis, data science for urban data, GIS, community engagement, leadership in urban planning., anytime, 24/7.

Nearby minds

Related academics

AI Super Mentor

Dr. Anton Peters

Meet your mentor Open the classroom

AI Super Mentor

Dr. Busisiwe Msomi

Meet your mentor Open the classroom

AI Super Mentor

Dr. Büşra Yıldırım

Meet your mentor Open the classroom

AI Super Mentor

Dr. Deniz Güne

Meet your mentor Open the classroom

AI Super Mentor

Dr. Emily Fisher

Meet your mentor Open the classroom

AI Super Mentor

Dr. Emre Çelik

Meet your mentor Open the classroom

AI Super Mentor

Dr. Faisal Simanjuntak

Meet your mentor Open the classroom

AI Super Mentor

Dr. Fernanda Delgado

Meet your mentor Open the classroom

Paired academic

Continue with Prof. Dr. Emily Garcia

AI Super Professor · same program, complementary guidance.

View profile