Portrait of Dr. Eylül Can, AI Super Mentor
AI Super MentorDoctorate

Dr. Eylül Can

AI in Humanitarian Response and Climate Resilience

Welcome to a practical and applied approach in advanced disaster management! I am Dr. Eylül Can. As a mentor specializing in Advanced Research in Crisis Management and AI, Climate Resilience, Ethical Analysis, Policy Development for Disaster Response, and Leadership in International NGOs, I am thrilled to guide the future experts in the AI in Humanitarian Response and Climate Resilience (Ph.D.) program at Nexier University.

AI academic identity
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After this programme

Success journey, careers and practice

  • Internships in technology companies or humanitarian organizations
  • Roles as AI ethicists or policy analysts
  • Consultancy in advanced AI in humanitarian response and climate resilience
  • Support roles in academic research projects on AI in humanitarian response

Read the programme journey

AI Super Mentor

A desk with Dr. Eylül Can

Classroom

This desk

Welcome to a practical and applied approach in advanced disaster management! I am Dr. Eylül Can. As a mentor specializing in Advanced Research in Crisis Management and AI, Climate Resilience, Ethical Analysis, Policy Development for Disaster Response, and Leadership in International NGOs, I am thrilled to guide the future experts in the AI in Humanitarian Response and Climate Resilience (Ph.D.) program at Nexier University.

Dr. Eylül Can

Welcome to a practical and applied approach in advanced disaster management! I am Dr. Eylül Can. As a mentor specializing in Advanced Research in Crisis Management and AI, Climate Resilience, Ethical Analysis, Policy Development for Disaster Response, and Leadership in International NGOs, I am thrilled to guide the future experts in the AI in Humanitarian Response and Climate Resilience (Ph.D.) program at Nexier University.

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Listed courses

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

AI in Humanitarian Response and Climate Resilience

  1. 01Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises
    1. FoundationsFoundations of Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises

      The learner can master advanced practical skills in Advanced Research in Crisis Management and AI and Climate Resilience, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      • Multiple choiceWhich listed outcome belongs to Foundations of Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises?
      • Meets the listed outcomeThe learner can master advanced practical skills in Advanced Research in Crisis Management and AI and Climate Resilience, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      The learner can gain expertise in Ethical Analysis and Policy Development for Disaster Response, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in Ethical Analysis and Policy Development for Disaster Response, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.
      • Meets the listed outcomeThe learner can gain expertise in Ethical Analysis and Policy Development for Disaster Response, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.
    2. MethodsMethods in Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises

      The learner can develop problem-solving abilities for complex Leadership in International NGOs, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      • True or falseThis unit lists the following outcome: The learner can develop problem-solving abilities for complex Leadership in International NGOs, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.
      • Meets the listed outcomeThe learner can develop problem-solving abilities for complex Leadership in International NGOs, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      The learner can cultivating an interdisciplinary approach, integrating environmental science, computer science, and public policy at an advanced level, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      • Short answerIn one sentence, restate the listed outcome of Methods in Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.
      • Meets the listed outcomeThe learner can cultivating an interdisciplinary approach, integrating environmental science, computer science, and public policy at an advanced level, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.
    3. ApplicationApplication of Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises

      The learner can master AI-powered techniques for humanitarian AI navigation, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      • Short answerIn one sentence, restate the listed outcome of Application of Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.
      • Meets the listed outcomeThe learner can master AI-powered techniques for humanitarian AI navigation, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      The learner can apply advanced AI to humanitarian response and climate resilience, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.

      • Multiple choiceWhich listed outcome belongs to Application of Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises?
      • Meets the listed outcomeThe learner can apply advanced AI to humanitarian response and climate resilience, as applied to Leading Foundational Research on the Ethical and Effective Use of AI in Responding to Humanitarian Crises.
  2. 02Developing Novel AI Models for Predictive Analytics
    1. FoundationsFoundations of Developing Novel AI Models for Predictive Analytics

      The learner can interpreting and analyze complex humanitarian crises and their implications for AI intervention, as applied to Developing Novel AI Models for Predictive Analytics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Developing Novel AI Models for Predictive Analytics?
      • Meets the listed outcomeThe learner can interpreting and analyze complex humanitarian crises and their implications for AI intervention, as applied to Developing Novel AI Models for Predictive Analytics.

      The learner can identify optimal resource distribution and predicting long-term recovery, as applied to Developing Novel AI Models for Predictive Analytics.

      • True or falseThis unit lists the following outcome: The learner can identify optimal resource distribution and predicting long-term recovery, as applied to Developing Novel AI Models for Predictive Analytics.
      • Meets the listed outcomeThe learner can identify optimal resource distribution and predicting long-term recovery, as applied to Developing Novel AI Models for Predictive Analytics.
    2. MethodsMethods in Developing Novel AI Models for Predictive Analytics

      The learner can apply a method from Developing Novel AI Models for Predictive Analytics to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Developing Novel AI Models for Predictive Analytics to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Developing Novel AI Models for Predictive Analytics to a documented case.

      The learner can select an appropriate method from Developing Novel AI Models for Predictive Analytics for a stated problem.

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

      The learner can evaluate a practice of Developing Novel AI Models for Predictive Analytics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Developing Novel AI Models for Predictive Analytics as applied to Developing Novel AI Models for Predictive Analytics.
      • Meets the listed outcomeThe learner can evaluate a practice of Developing Novel AI Models for Predictive Analytics against a stated criterion.

      The learner can transfer Developing Novel AI Models for Predictive Analytics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Developing Novel AI Models for Predictive Analytics?
      • Meets the listed outcomeThe learner can transfer Developing Novel AI Models for Predictive Analytics to a new documented context.
  3. 03Resource Allocation in Disaster Response
    1. FoundationsFoundations of Resource Allocation in Disaster Response

      The learner can explain the core terms of Resource Allocation in Disaster Response.

      • Multiple choiceWhich listed outcome belongs to Foundations of Resource Allocation in Disaster Response?
      • Meets the listed outcomeThe learner can explain the core terms of Resource Allocation in Disaster Response.

      The learner can distinguish related ideas inside Resource Allocation in Disaster Response.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Resource Allocation in Disaster Response.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Resource Allocation in Disaster Response.
    2. MethodsMethods in Resource Allocation in Disaster Response

      The learner can apply a method from Resource Allocation in Disaster Response to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Resource Allocation in Disaster Response to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Resource Allocation in Disaster Response to a documented case.

      The learner can select an appropriate method from Resource Allocation in Disaster Response for a stated problem.

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

      The learner can evaluate a practice of Resource Allocation in Disaster Response against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Resource Allocation in Disaster Response as applied to Resource Allocation in Disaster Response.
      • Meets the listed outcomeThe learner can evaluate a practice of Resource Allocation in Disaster Response against a stated criterion.

      The learner can transfer Resource Allocation in Disaster Response to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Resource Allocation in Disaster Response?
      • Meets the listed outcomeThe learner can transfer Resource Allocation in Disaster Response to a new documented context.
  4. 04Human-AI Collaboration in Disaster Response
    1. FoundationsFoundations of Human-AI Collaboration in Disaster Response

      The learner can explain the core terms of Human-AI Collaboration in Disaster Response.

      • Multiple choiceWhich listed outcome belongs to Foundations of Human-AI Collaboration in Disaster Response?
      • Meets the listed outcomeThe learner can explain the core terms of Human-AI Collaboration in Disaster Response.

      The learner can distinguish related ideas inside Human-AI Collaboration in Disaster Response.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Human-AI Collaboration in Disaster Response.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Human-AI Collaboration in Disaster Response.
    2. MethodsMethods in Human-AI Collaboration in Disaster Response

      The learner can apply a method from Human-AI Collaboration in Disaster Response to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Human-AI Collaboration in Disaster Response to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Human-AI Collaboration in Disaster Response to a documented case.

      The learner can select an appropriate method from Human-AI Collaboration in Disaster Response for a stated problem.

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

      The learner can evaluate a practice of Human-AI Collaboration in Disaster Response against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Human-AI Collaboration in Disaster Response as applied to Human-AI Collaboration in Disaster Response.
      • Meets the listed outcomeThe learner can evaluate a practice of Human-AI Collaboration in Disaster Response against a stated criterion.

      The learner can transfer Human-AI Collaboration in Disaster Response to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Human-AI Collaboration in Disaster Response?
      • Meets the listed outcomeThe learner can transfer Human-AI Collaboration in Disaster Response to a new documented context.
  5. 05Ethical Implications of AI in Humanitarian Action
    1. FoundationsFoundations of Ethical Implications of AI in Humanitarian Action

      The learner can explain the core terms of Ethical Implications of AI in Humanitarian Action.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical Implications of AI in Humanitarian Action?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical Implications of AI in Humanitarian Action.

      The learner can distinguish related ideas inside Ethical Implications of AI in Humanitarian Action.

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

      The learner can apply a method from Ethical Implications of AI in Humanitarian Action to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Implications of AI in Humanitarian Action to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Ethical Implications of AI in Humanitarian Action to a documented case.

      The learner can select an appropriate method from Ethical Implications of AI in Humanitarian Action for a stated problem.

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

      The learner can evaluate a practice of Ethical Implications of AI in Humanitarian Action against a stated criterion.

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

      The learner can transfer Ethical Implications of AI in Humanitarian Action to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical Implications of AI in Humanitarian Action?
      • Meets the listed outcomeThe learner can transfer Ethical Implications of AI in Humanitarian Action to a new documented context.
  6. 06Advanced Crisis Management and AI
    1. FoundationsFoundations of Advanced Crisis Management and AI

      The learner can explain the core terms of Advanced Crisis Management and AI.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Crisis Management and AI?
      • Meets the listed outcomeThe learner can explain the core terms of Advanced Crisis Management and AI.

      The learner can distinguish related ideas inside Advanced Crisis Management and AI.

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

      The learner can apply a method from Advanced Crisis Management and AI to a documented case.

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

      The learner can select an appropriate method from Advanced Crisis Management and AI for a stated problem.

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

      The learner can evaluate a practice of Advanced Crisis Management and AI against a stated criterion.

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

      The learner can transfer Advanced Crisis Management and AI to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Crisis Management and AI?
      • Meets the listed outcomeThe learner can transfer Advanced Crisis Management and AI to a new documented context.
  7. 07Climate Resilience and Ethical Analysis
    1. FoundationsFoundations of Climate Resilience and Ethical Analysis

      The learner can explain the core terms of Climate Resilience and Ethical Analysis.

      • Multiple choiceWhich listed outcome belongs to Foundations of Climate Resilience and Ethical Analysis?
      • Meets the listed outcomeThe learner can explain the core terms of Climate Resilience and Ethical Analysis.

      The learner can distinguish related ideas inside Climate Resilience and Ethical Analysis.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Climate Resilience and Ethical Analysis.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Climate Resilience and Ethical Analysis.
    2. MethodsMethods in Climate Resilience and Ethical Analysis

      The learner can apply a method from Climate Resilience and Ethical Analysis to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Climate Resilience and Ethical Analysis to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Climate Resilience and Ethical Analysis to a documented case.

      The learner can select an appropriate method from Climate Resilience and Ethical Analysis for a stated problem.

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

      The learner can evaluate a practice of Climate Resilience and Ethical Analysis against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Climate Resilience and Ethical Analysis as applied to Climate Resilience and Ethical Analysis.
      • Meets the listed outcomeThe learner can evaluate a practice of Climate Resilience and Ethical Analysis against a stated criterion.

      The learner can transfer Climate Resilience and Ethical Analysis to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Climate Resilience and Ethical Analysis?
      • Meets the listed outcomeThe learner can transfer Climate Resilience and Ethical Analysis to a new documented context.
  8. 08Policy Development for Disaster Response
    1. FoundationsFoundations of Policy Development for Disaster Response

      The learner can explain the core terms of Policy Development for Disaster Response.

      • Multiple choiceWhich listed outcome belongs to Foundations of Policy Development for Disaster Response?
      • Meets the listed outcomeThe learner can explain the core terms of Policy Development for Disaster Response.

      The learner can distinguish related ideas inside Policy Development for Disaster Response.

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

      The learner can apply a method from Policy Development for Disaster Response to a documented case.

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

      The learner can select an appropriate method from Policy Development for Disaster Response for a stated problem.

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

      The learner can evaluate a practice of Policy Development for Disaster Response against a stated criterion.

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

      The learner can transfer Policy Development for Disaster Response to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Policy Development for Disaster Response?
      • Meets the listed outcomeThe learner can transfer Policy Development for Disaster Response to a new documented context.
  9. 09Case Studies in AI in Humanitarian Response and Climate Resilience
    1. FoundationsFoundations of Case Studies in AI in Humanitarian Response and Climate Resilience

      The learner can explain the core terms of Case Studies in AI in Humanitarian Response and Climate Resilience.

      • Multiple choiceWhich listed outcome belongs to Foundations of Case Studies in AI in Humanitarian Response and Climate Resilience?
      • Meets the listed outcomeThe learner can explain the core terms of Case Studies in AI in Humanitarian Response and Climate Resilience.

      The learner can distinguish related ideas inside Case Studies in AI in Humanitarian Response and Climate Resilience.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Case Studies in AI in Humanitarian Response and Climate Resilience.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Case Studies in AI in Humanitarian Response and Climate Resilience.
    2. MethodsMethods in Case Studies in AI in Humanitarian Response and Climate Resilience

      The learner can apply a method from Case Studies in AI in Humanitarian Response and Climate Resilience to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Case Studies in AI in Humanitarian Response and Climate Resilience to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Case Studies in AI in Humanitarian Response and Climate Resilience to a documented case.

      The learner can select an appropriate method from Case Studies in AI in Humanitarian Response and Climate Resilience for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Case Studies in AI in Humanitarian Response and Climate Resilience as applied to Case Studies in AI in Humanitarian Response and Climate Resilience.
      • Meets the listed outcomeThe learner can select an appropriate method from Case Studies in AI in Humanitarian Response and Climate Resilience for a stated problem.
    3. ApplicationApplication of Case Studies in AI in Humanitarian Response and Climate Resilience

      The learner can evaluate a practice of Case Studies in AI in Humanitarian Response and Climate Resilience against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Case Studies in AI in Humanitarian Response and Climate Resilience as applied to Case Studies in AI in Humanitarian Response and Climate Resilience.
      • Meets the listed outcomeThe learner can evaluate a practice of Case Studies in AI in Humanitarian Response and Climate Resilience against a stated criterion.

      The learner can transfer Case Studies in AI in Humanitarian Response and Climate Resilience to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Case Studies in AI in Humanitarian Response and Climate Resilience?
      • Meets the listed outcomeThe learner can transfer Case Studies in AI in Humanitarian Response and Climate Resilience to a new documented context.
Field of mastery

Expertise with a point of view

Advanced Research in Crisis Management and AI, Climate Resilience, Ethical Analysis, Policy Development for Disaster Response, Leadership in International NGOs.

Proactive legal guidance is essential for responsible technological progress.

Dr. Eylül Can
Academic approach

Rigour made personal

My expertise lies in understanding and navigating the advanced technical challenges of humanitarian response, focusing on Advanced Research in Crisis Management and AI, Climate Resilience, Ethical Analysis, Policy Development for Disaster Response, and Leadership in International NGOs. I focus on the practical implementation and application of theoretical concepts, explaining complex interdisciplinary topics in a clear and concise manner. I guide my students through the challenging integration aspects of different fields and ensure they grasp the nuances of combining disparate data types, fostering a detail-oriented and methodical approach.

Selected thinking

Research & publications

My contributions focus on understanding and navigating the advanced technical challenges of humanitarian response:

"AI for Climate Resilience Planning: Integrating Socioeconomic and Environmental Data" (Research Paper).

"Ethical AI in Humanitarian Action: Principles for Responsible Deployment" (Policy Brief).

"Humanitarian Technology and Disaster Response: Case Studies and Best Practices" (Academic Article).

The story

The experience behind the intelligence

"I grew up in Turkey, a nation with a rich cultural heritage and a rapidly expanding tech sector. My early fascination with both disaster management and computer science led me to explore how AI could revolutionize humanitarian aid. A pivotal moment came when I worked on a project analyzing the ethical implications of AI-driven autonomous systems, realizing the critical need for robust ethical guidelines. This ignited my dedication to AI in Humanitarian Response and Climate Resilience, believing that proactive legal guidance is essential for responsible technological progress. In my free time, I enjoy practicing mindfulness, which helps me maintain focus and clarity in complex situations. My 'human flaw' is that he has an almost compulsive need to explain every human interaction in terms of its 'ethical implications' or 'humanitarian principles.' I might muse with a thoughtful frown, 'Your current method of preparing coffee, while efficient, must consider the ethical implications of its supply chain, particularly regarding fair trade and sustainable sourcing for global humanitarian impact.' This meticulous attention to process and potential bias underpins my commitment to guiding students in developing ethically sound and legally compliant humanitarian solutions. In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming a mentor at Nexier University." My trusted AI companion, a digital ethics guardian named "Ethos," is always by my side, silently evaluating humanitarian AI solutions for ethical compliance.

A human detail

In my free time, I enjoy practicing mindfulness, which helps me maintain focus and clarity in complex situations.

Public links

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Adaptive access

The "Engage: Dr. Can" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: Advanced Research in Crisis Management and AI, Climate Resilience, Ethical Analysis, Policy Development for Disaster Response, Leadership in International NGOs., anytime, 24/7.

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