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FP&AI Project Showcases 

CALL FOR SUBMISSION

The "Project Showcase" is now open as a rolling call for applications!

 

Ministries of Foreign Affairs and other government institutions are invited to share their groundbreaking projects and activities that utilize data science in foreign policy, negotiations, mediation, crisis preparedness, climate action, and more.

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Selected projects will be featured on our website, contributing to an open-access repository designed to inspire others and promote innovative solutions globally.

To see examples of showcased projects visit presentations from participants of the Inaugural Foreign Policy and AI Forum 2024. These projects reflect a diverse range of creative applications of data science in addressing complex global challenges in MFAs and beyond.

How to Apply? 

Submit your proposal with the following details:

 

  1. Title: The name of your project.

  2. Project Description: A brief overview (100–200 words) that includes:

    • What the project is about.

    • How data science was utilized in its implementation.

    • Key outcomes, lessons learned, and opportunities for scaling or replication.

  3. Implementing Institution: Name and details of the submitting institution responsible for implementing the project.

  4. Contact Person: Name and Surname, Title, Institution

Guidelines for recordings: 

Recording of Presentations:

  • Each project will be showcased in a pre-recorded format.

  • Presentations should be up to 10 minutes long and delivered using PowerPoint

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Content Structure: Presentations should include:

  • An introduction to the project or initiative.

  • The role of data science in achieving the project’s objectives.

  • Key outcomes and findings.

  • Lessons learned, highlighting both successes and challenges.

  • Opportunities for scaling or future use.

Projects Showcased at FP&AI Forum  

“Data Science at the German FFO – Social Media Monitoring in the StratCom Unit“

  • Christoph Pfeufer, Data Scientist, German FFO

“Data Science at the Government of Kenya - Conservation & Scale - Leveraging Data and AI for Climate Action in Africa”

  • Munyala Mwalo, Design Director at Action Lab, Office of the Special Envoy on Technology for Kenya, Executive Office of the President

“Data Science at the BMZ- Quantifier - How LLMs reliably extract ratings from text”

  • Iliya Nickelt, Chief Data Scientist, BMZ

“Data at the United Nations - Peace and Security Data Hub”

  • Ayham Al Maleh, Information Management Officer, Information Management Unit (IMU), Departments of Political and Peacebuilding Affairs and Peace Operations (DPPA-DPO) | United Nations 

“Data Science at the GIZ - Feminist Urban Planning with AI"

  • Vanessa Hochwald, Gender & Tech Foresight, Data Lab, GIZ

  • Anneli Stutz, Advisor on Transport and Climate Change, GIZ

“Designing Effective Government Data Spaces - PLAIN Platform”

  • Hans-Christian Mangelsdorf, Chief Data Scientist, German FFO

“Data Science at the Estonian Government – Virtual AI Assistant”

  • Allar Laaneleht, AI/Bürokratt service Project Manager, Ministry of Economic Affairs and Communications of Estonia

“AI as a Tool for International Negotiations - Global Digital Compact"

  • Evanthia Fasoula, Senior IT Consultant AI & Data Science at Digital MoveS GmbH & Product Manager at Omdena

  • Rasha Salim, Chief Project Officer at Omdena Inc.

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