A clear review of the Water Resources Modelling Hackathon 2026. Learn what modelling is, why it matters for water and environmental students, the key software used, selection tips, and how to prepare effectively.
On 3 April 2024, the Rwanda Water Resources Board (RWB), in partnership with the Albertine Rift Conservation Society (ARCOS), launched the Water Resources Modelling Hackathon(Igihe.com). Since its introduction, the event has become an annual platform where undergraduate and master’s students passionate about water, environment, and technology explore modelling tools to predict “what happens if” scenarios.
This competition aims to engage young people in water conservation, especially students in water resources, climate science, urban planning, and geography.In this review, we highlighted the key concepts introduced in the hackathon, including:
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What modelling is
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Why water and environmental students should care about modelling
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Common software used in the hackathon
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Selection and preparation criteria
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Essential dos and don’ts for participants
If you have a passion for water, environment, sustainability, and especially the intersection between technology and impact, Techstream Insight is here to support you, whether you are a student, a young professional, or simply a tech enthusiast looking to explore meaningful solutions. read until the end you will find more information if you want to participate in the hackathon.
Understanding the Foundations: Modelling, Hackathons, RWB, and ARCOS
ARCOS Network
ARCOS is a regional organization dedicated to biodiversity conservation and sustainable natural resource management across African ecosystems. It promotes collaboration, community empowerment, and ecosystem protection.
Rwanda Water Resources Board (RWB)
RWB is the national institution mandated to manage and regulate water resources in Rwanda. Established in 2020, its mission is to ensure the country has adequate, safe, and sustainably managed water resources.
What Is Modelling?
In scientific and engineering contexts, modelling refers to creating a simplified representation of a real-world system. This process involves:
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Simplifying complex phenomena
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Identifying and representing variables
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Simulating system behaviour
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Predicting changes when parameters shift
The goal of modelling is to understand, forecast, experiment, and support decision-making.
Different types of models exist, and upcoming articles will explore these in more detail.
Purpose of the Water Resources Modelling Hackathon
The hackathon is designed to help participants apply theoretical knowledge to real-world environmental challenges. It typically focuses on:
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Hydrological modelling
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Erosion modelling
Participants develop models using professional tools and apply them to real case studies. For instance, the most recent hackathon involved building a calibrated hydrological model for selected Level 1 catchments in Rwanda.
Most Common Water Resources Modelling Tools
Participants use industry-standard software, including:
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QGIS / ArcGIS (Geospatial analysis)
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SWAT (Soil and Water Assessment Tool)
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MODFLOW (Groundwater modelling)
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WEAP (Water Evaluation And Planning tool)
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HEC-HMS & HEC-RAS (Hydrologic and hydraulic modelling)
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Python programming (An added advantage for automation and analysis)
These tools allow students to perform spatial analysis, run simulations, and interpret environmental data.
How to Stand Out in the Hackathon?
Success requires both mental discipline and technical preparation. Here are essential tips:
1. Prepare Your Software Early
Install all necessary tools; HEC-HMS, HEC-RAS, QGIS, QSWAT- before the event because internet access may be unreliable.
2. Organize Your Data
Download relevant geospatial datasets in advance, such as:
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Digital Elevation Models (DEMs)
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Land cover maps
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Soil datasets
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Catchment boundaries
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Rainfall and river discharge records
These datasets are crucial for building accurate models.
3. Build Your Personal Strength
Beyond technical knowledge, success depends on passion, curiosity, analytical thinking, and consistent practice. Start learning early, explore available resources, and refine your modelling skills regularly.
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