Challenges and participants
Discover the various tracks and find the one that matches your profile.
Track 1: High-Value Algorithms
This track focuses on advancing core AI capabilities to address foundational technological challenges in public administration.
🗣️ Speech-to-Text
Goal: Improve transcription accuracy for underrepresented languages.
Applications: Real-time transcription for public hotlines, court proceedings, and administrative meetings.
🌍 Geospatial Analysis
Goal: Enhance disaster response, urban planning, and environmental monitoring using AI.
Applications: Flood risk assessment, automated land-use mapping, and sustainable development projects.
📄 Optical Character Recognition (OCR)
Goal: Automate text extraction from scanned documents to streamline administrative workflows.
Applications: Digitizing government records, automating tax forms, and improving case file management.
🌐 Machine Translation
Goal: Develop multilingual tools leveraging open-source frameworks like Mozilla’s models.
Applications: Cross-border collaborations, citizen communication platforms, and international policymaking.
Target Participants for Track 1:
💻 AI Developers and Data Scientists: Specialists in NLP, geospatial analysis, and machine learning, familiar with training and deploying models.
🧠 Researchers: Academics with expertise in developing foundational AI algorithms or large-scale datasets.
Track 2: High-Impact Use Cases with APIs
This track focuses on building practical tools using prebuilt functionalities, such as the Albert API, to address real-world public service needs.
🤖 AI-Driven Administrative Tools
Goal: Automate routine administrative tasks like drafting responses and summarizing documents.
Applications: Simplified citizen correspondence, automated reporting tools, and internal communication systems.
📊 Document Analysis and Q&A Systems
Goal: Use vector-based AI for efficient information retrieval and decision-making.
Applications: Legal and policy research tools, interactive Q&A systems for public inquiries.
🛠️ Custom Prototypes
Goal: Tailor AI solutions to specific challenges identified by participant teams.
Applications: Citizen feedback systems, localized environmental monitoring applications, and personalized public service interfaces.
Target Participants for Track 2:
🏢 Public Service Professionals: Experienced individuals who understand the inner workings of government operations and can identify practical use cases.
👨💻 Full-Stack Developers: Experts in rapidly prototyping and deploying functional applications using prebuilt APIs.
🎨 Designers: UX/UI professionals who create intuitive interfaces for citizen-facing and back-office applications.
🌍 Civil Society Leaders: Advocates for public innovation who can provide perspectives on societal needs.
You have a team and want to participate:
Build your team of 3 to 6 members and apply for a chance to work on AI for public good alongside international teams!