Portrait Robin Nowok

Robin Nowok

Lead DPPD & Tech Specialist

Stories

red greeting card reading "season's greetings 2025"
General

Anna-Lisa Wirth, Catherine Vogel, Robin Nowok, Teresa Kroesen, Vanessa Hochwald |

Season’s Greetings from the GIZ Data Lab 2025

Dear colleagues and friends, as the year comes to a close, as usual we wish to take a moment to reflect on our journey and share our plans for the upcoming year. In this time grappling with uncertainty, we have tackled new projects, connected with many remarkable people, and gained invaluable insights.


 

Graphic featuring the text "NegotiateCOP" on a light blue gradient background, with fine white circular lines and a vibrant teal sphere on the right, and layered blue and teal waves along the bottom.
AI in Negotiations

Robin Nowok |

NegotiateCOP

Right on time for the 30th annual Climate Conference (COP30) in Belém, we launched our new tool “NegotiateCOP” that assists delegates navigate the extensive volume of documents submitted to the UNFCCC submission portal by more than 190 attending countries. 

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.

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.

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.

Densely packed wooden stilt houses and small buildings along a riverbank with modern structures in the background.
Data for Development

Robin Nowok, Lea Voigt, Erik Lehmann, Mark Tyrrell |

Unveiling Vulnerabilities in Climate Policy: AI Tools for Insights into Climate Policy Inclusivity

The consequences of the climate crisis are affecting people across the world, but it is well-known that people in vulnerable situations (due to factors including but not limited to age, gender, geography, health or indigenous or minority status) may experience heightened exposure and are disproportionately more affected than other demographic groups.