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README.md
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license: mit
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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Technical Documentation of the system in accordance with EU AI Act.
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System Name: Development Project Synergy Finder
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Provider / Supplier: GIZ Data Service Center
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As of: July 2025
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Multiple international organizations have projects in the same field and region. These projects could collaborate or learn from
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each other to increase their impact if they were aware of one another. The Project Synergy Finder facilitates the search for
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similar projects across different development organizations and banks. Note that this app is a prototype, results may be
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incomplete or inaccurate.
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### Models
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**SDG Text Classifier**
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Model Name: bert-base-uncased-finetuned-sdg (link will follow soon, if you have questions please contact us at dataservicecenter@giz.de)
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Base Model: [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
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Usage: The SDG categorization in this tool is AI-predicted based on project descriptions and titles using a SDG Classifier trainded on the OSDG dataset.
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License: apache-2.0
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Model Training Data: The training data has been collected by human annotators that are expert in their fields. If you have questions regarding the dataset, please
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reach out to dataservicecenter@giz.de.
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Bias: The data does not contain any known bias, however risk of potential bias can never be fully excluded.
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### Data
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**IATI Data**: The data is sourced from the IATI d-portal, providing project-level information. The International Aid Transparency Initiative (IATI) aims
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to enhance transparency and effectiveness in development cooperation by making data publicly accessible.
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Data Update: The data is updated irregularly, with the last retrieval on 10th May 2024.
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Project Data: Data from projects labeled as active during the last data retrieval are included. The data includes Project Title, Description, URL, Country, and Sector classification (CRS). The CRS5 and CRS3 classifications organize development cooperation into categories, with the 5-digit level providing more specific details within the broader 3-digit categories.
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**Organizations**: The tool currently includes projects from the following organizations:
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IAD: Inter-American Development Bank
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ADB: Asian Development Bank
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AfDB: African Development Bank
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EIB: European Investment Bank
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WB: World Bank
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WBTF: World Bank Trust Fund
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BMZ: Federal Ministry for Economic Cooperation and Development (Germany)
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KfW: KfW Development Bank (Germany)
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GIZ: Deutsche Gesellschaft für Internationale Zusammenarbeit (Germany)
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AA: German Federal Foreign Office (Germany)
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Additional Data: The Sustainable Development Goals (SDGs) are 17 UN goals aimed at achieving global sustainability, peace, and prosperity by 2030. The SDG categorization in this tool is AI-predicted based on project descriptions and titles using a SDG Classifier trainded on the OSDG dataset.
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### System Usage
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The system is a prototype designed to facilitate the quick search of similar projects across different development organizations.
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The system is NOT designed to give a complete overview of all ongoing projects and their matching counterparts. Output may always be incomplete or falsly
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classified and should ALWAYS be reviewed by a human.
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The system does not make autonomous decisions but just provides information.
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No personal data of users is being processed.
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Results are intended for orientation only – not for legal or political advice.
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### Transparency Towards Users
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The user interface clearly indicates the use of a fine-tuned text classification transformer models and outlines that the system is a prototype.
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### Contact & Feedback
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Technical development is carried out by the GIZ Data Service Center.
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Please reach out through the contact details provided below, if there are any issues or feedback.
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Contact: For any questions, please contact us via dataservicecenter@giz.de
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