Humanitarian & Disaster Technologist

Writing on technology, crisis response, and the future of humanitarian aid — drawn from 15 years working in the field.

  • Open Source Technology: Building More Equitable Humanitarian Systems

    4–7 minutes
    1,024 words

    Discover how cutting-edge technologies like drones, AI, and blockchain are revolutionising humanitarian aid and disaster response in 2026.

    Read more: Open Source Technology: Building More Equitable Humanitarian Systems
  • Revolutionizing Disaster Response: Cutting-Edge Technologies Saving Lives Today

    3–5 minutes
    754 words

    In an era marked by increasing natural disasters and humanitarian crises, the integration of advanced technologies is reshaping how we prepare for, respond to, and manage emergencies. From artificial intelligence to robotics, drones to satellite communications, the latest innovations are not only improving efficiency but transforming the very capabilities of disaster response teams worldwide. This blog explores recent developments that promise faster, smarter, and more resilient humanitarian aid. Harnessing Artificial Intelligence for Predictive and Responsive Action Artificial intelligence (AI) is at the forefront of revolutionizing disaster management. Governments and researchers alike are tapping into AI’s power to enhance early warning…

    Read more: Revolutionizing Disaster Response: Cutting-Edge Technologies Saving Lives Today
  • The Future of Aid: 5 Major Trends That Shaped Disaster Response in 2025

    5–7 minutes
    1,153 words

    The year 2025 marked a pivotal moment in the evolution of disaster response. As the frequency and intensity of natural and man-made crises continued to escalate, the humanitarian sector underwent a profound transformation. A convergence of technological innovation, strategic realignment, and a renewed focus on community engagement reshaped how we prepared for, responded to, and recovered from disasters. This blog post explores five of the most significant trends that defined the past year in disaster response, drawing on research and real-world examples to provide a comprehensive overview of the changed landscape. 1. AI-Powered Rapid Assessment and Prediction Artificial intelligence (AI)…

    Read more: The Future of Aid: 5 Major Trends That Shaped Disaster Response in 2025
  • Corruption in Post-Disaster Geographies: A Looming Concern and Pathways to Combat It…

    3–4 minutes
    641 words

    When nature unleashes its fury through disasters, it not only leaves behind a trail of destruction but also creates an environment ripe for corruption to rear its head. This article aims to shed light on the phenomenon of increased corruption in post-disaster geographies, examining the reasons behind its occurrence and exploring effective strategies to tackle this pressing issue. Understanding the Correlation between Disasters and Corruption In the aftermath of a disaster, affected communities face numerous challenges, from rebuilding shattered infrastructure to providing essential aid to those in need. Unfortunately, these challenging times also present opportunities for corrupt practices to emerge.…

    Read more: Corruption in Post-Disaster Geographies: A Looming Concern and Pathways to Combat It…
  • Bottom-up or top-down?

    4–6 minutes
    915 words

    Disaster preparedness and resilience are crucial for any community to mitigate the risks and damages caused by natural disasters or emergencies. While traditional top-down models for disaster preparedness have been commonly used, a growing number of subject matter experts and researchers are advocating for a bottom-up model to enhance disaster preparedness and resilience. A bottom-up model for disaster preparedness and resilience involves involving local communities and individuals in planning and decision-making processes. This approach recognizes that communities are the first responders during disasters and can play an essential role in emergency management. According to Máximo Bañados, Regional Director for Latin…

    Read more: Bottom-up or top-down?