Blog

Welcome to the GIZ Data Lab Blog. Here you’ll find all the blog posts we’ve published, covering our use cases, activities, experiments, public communications, technical topics, and more. You can use the tag system to browse posts by topic. Many individual posts that don’t fit neatly into a more specific category are grouped under “Data for Development”. Enjoy exploring!

  • A light green graphic featuring the text "NegotiateAI" above "Now live" in dark blue, with abstract blue and teal wave patterns along the bottom.
    AI in Negotiations

    NegotiateAI 3.0 – Now Live on Its Own Domain

    Just in time for the resumed negotiations of the UN Plastics Treaty in Geneva this August (INC-5.2), we’re pleased to announce the official launch of NegotiateAI 3.0. The tool is now available on a dedicated domain: www.negotiate-ai.com

  • Graphic on a light green background with black geometric shapes and the text "GENERATIVE AI TALK SERIES" alongside the number "03".
    Talk Series

    Lucas Braun |

    Generative AI Talk Series Session 3 – The impact of the EU AI Act and the 2024 US elections on global AI policy

    In a world increasingly shaped by AI, its rapid evolution brings both promise and peril. For the third session of the Generative AI Talk series, the GIZ Data Lab has teamed up with GIZ’s Corporate Development Department’s Strategic Foresight Team to discuss the impact of the EU AI Act and recent US elections on global AI regulation and trends.

  • An abstract geometric composition featuring black triangles and polygons on a blue pink background.
    Data for Development

    Erik Lehmann |

    Policy Action Tracker

    In the policy analysis realm, tracking the implementation of climate strategies, such as the Nationally Determined Contributions (NDCs), presents a daunting challenge. The sheer volume of policy documents to analyze makes manual tracking an uphill task for policy advisors. Considering this, we began experimenting with a novel, AI-powered solution: The Policy Action Tracker.

  • Undersea view showing small striped fish swimming through a large amount of plastic pollution, nets, and ropes, against a background of clear blue water.
    AI in Negotiations

    Robin Nowok, Teresa Kroesen, Nadia Manasfi, Steffen Blume |

    NegotiateAI: Smart Negotiations by leveraging AI for UN Negotiations on the international legally binding instrument on plastic pollution

    In the dynamic world of international environmental diplomacy, the complexity of the subject, variety of diverging positions as well as volume of documentation challenges fast progress. Smaller delegations seem disadvantaged compared to the larger delegations by time-consuming prepations requirements and negotiation sessions considering extensive legal texts as well as scientific background papers. This is particularly true for low income countries’ delegations.

  • Graphic titled "DPPD COURSE" in bold black text on a pink background, with a location pin icon and "Launch" in the lower-left corner, and a pattern of black and red circles on the right side.
    Data Powered Positive Deviance

    Robin Nowok, Andreas Pawelke, Basma Albanna, Omeed Behmaram-Mosavat |

    Launching the Data-Powered Positive Deviance Course

    We’re excited to launch our self-paced online course on Data-Powered Positive Deviance (DPPD). Take the course and learn how to leverage digital data to identify and learn from successful practices to tackle complex challenges.

  • An abstract geometric composition featuring vertical coral pink lines and blocks against a gradient turquoise background.
    Data Feminism

    Vanessa Hochwald |

    AI-supported City Planning for more feminist Urban Spaces!

    During the Asia and Pacific Transport Forum in May 2024 in Manila the GIZ Projects “NDC Transport Initiative Asia” and the “TUMI Women mobilize Women” Initiative hosted the session “Building Feminist Cities: Looking at the Intersection of Inclusivity”. GIZ Data Lab had the enormous pleasure of supporting them with an innovative approach to inclusive and feminist transport planning by leveraging AI-generated images.

  • Satellite map overlay with pixelated grid data in red, yellow, green, purple, and blue tones depicting land cover or remote sensing analytics.
    Data for Development
    Data Powered Positive Deviance

    Robin Nowok, Anthony Kwabena Sarfo, Joy Heitlinger, Michael Darko Ahwireng, Basma Albanna, Tobias-Jorge Kunde |

    From Pixels to Preservation: Utilizing Remote Sensing to Identify Community Techniques to Save Tree Cover

    Climate change poses significant challenges for rural communities in the North of Ghana. Due to their dependence on climate-sensitive sectors like agriculture, forestry, and natural resource management, they are highly vulnerable to its effects. Implementing adaptation measures that improve resilience and address the impacts of climate change is essential for reducing their vulnerabilities. This article explores the benefits of new approaches, particularly the utilization of remote sensing data and the Data-Powered Positive Deviance (DPPD) method, in preserving Ghana’s trees and empowering local communities.