[{"data":1,"prerenderedAt":83},["ShallowReactive",2],{"winners:en":3},[4,20,33,45,58,70],{"id":5,"title":6,"alt_url":7,"applicant":8,"brow":7,"country":9,"description":10,"extension":11,"files":7,"gallery":7,"image":12,"meta":13,"prize":14,"project_url":7,"short_description":15,"slug":16,"stem":17,"winner_images":7,"year":18,"__hash__":19},"winners\u002Fwinners\u002Fadvancing-climate-justice-the-climate-mobility-case-database.json","Advancing Climate Justice: the Climate Mobility Case Database",null,"Global Strategic Litigation Council","International","\u003Cp dir=\"ltr\">Climate displacement is accelerating—driven by floods, wildfires, droughts, and rising sea levels—and forcing millions from their homes each year. Yet the legal rights of those displaced are the crucial, oft-forgotten element of humanitarian and local support in the face of climate and environmental crises. In response, the Global Strategic Litigation Council (the Council), in collaboration with Earth Refuge, the Raoul Wallenberg Institute, and the Zolberg Institute on Migration and Mobility, has developed the Climate Mobility Case Database (the database): a groundbreaking data commons tracking global legal developments on climate displacement.\u003C\u002Fp>\u003Cp dir=\"ltr\">This live, open-access platform empowers frontline lawyers, advocates, and community leaders with critical legal knowledge to protect the rights of displaced people. The database curates legal cases addressing both internal and cross-border climate displacement. Each case is accompanied by an AI-assisted, expert-reviewed summary, highlighting legal arguments, decisions, and key takeaways to inform future litigation and advocacy.\u003C\u002Fp>\u003Cp dir=\"ltr\">Beyond the summaries, the platform offers original blogs on emerging trends, pending cases, and community voices, providing a rich context for the evolving field of climate justice. Central to the database is the belief that effective local action depends on access to high-quality, relevant legal information. By surfacing legal precedents, comparative arguments, and evolving jurisprudence, we support advocates to shape a fairer, more protective global legal framework.\u003C\u002Fp>\u003Cp dir=\"ltr\">The database harnesses AI and data analytics to turn complex legal data into accessible insights. A custom large language model (LLM) powers automated case summarization and multilingual translation, while a dynamic analytics layer visualizes trends across jurisdictions.\u003C\u002Fp>\u003Cp dir=\"ltr\">With further funding, we will scale and deepen the database’s impact by:\u003C\u002Fp>\u003Col>\u003Cli dir=\"ltr\" aria-level=\"1\">\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Expanding the dataset\u003C\u002Fstrong> by leveraging our new LLM-based judgment analyst to identify and process hundreds more relevant legal cases beyond the 70+ currently cataloged.\u003C\u002Fp>\u003C\u002Fli>\u003Cli dir=\"ltr\" aria-level=\"1\">\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Open-sourcing the data\u003C\u002Fstrong> by publishing raw judgments, LLM-extracted features, and summaries via API and on HuggingFace to support research, innovation, and transparency.\u003C\u002Fp>\u003C\u002Fli>\u003Cli dir=\"ltr\" aria-level=\"1\">\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Automating the existing LLM-case processor\u003C\u002Fstrong> by building a seamless, feedback-driven pipeline for LLM summarization, quality control, and human review, improving both speed and accuracy.\u003C\u002Fp>\u003C\u002Fli>\u003Cli dir=\"ltr\" aria-level=\"1\">\u003Cp dir=\"ltr\" role=\"presentation\">\u003Cstrong>Launching an AI legal assistant\u003C\u002Fstrong> by creating an intelligent interface that links relevant case law, legal guidance, and real-time analytics to support lawyers, judges, policymakers, and displaced communities. This will include creating regular insight reports for local decision-makers, piloting an AI legal assistant to support tailored insights, and creating climate adaptation and mitigation guidance using AI-generated insights.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Fol>","json","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F1b2a2590-152e-45fb-b51c-f8806474d3f7",{},"HONORARY DISTINCTION: Enhancement of a Data Commons","This live, open-access platform empowers frontline lawyers, advocates, and community leaders with critical legal knowledge to protect the rights of displaced people. The database curates legal cases addressing both internal and cross-border climate displacement. Each case is accompanied by an AI-assisted, expert-reviewed summary, highlighting legal arguments, decisions, and key takeaways to inform future litigation and advocacy.","advancing-climate-justice-the-climate-mobility-case-database","winners\u002Fadvancing-climate-justice-the-climate-mobility-case-database","2025","LEoX2_NcQ0ZzSk0E-4bD80zJ0rLFRL24HAe5mPPFJKU",{"id":21,"title":22,"alt_url":7,"applicant":23,"brow":7,"country":24,"description":25,"extension":11,"files":7,"gallery":7,"image":26,"meta":27,"prize":28,"project_url":7,"short_description":29,"slug":30,"stem":31,"winner_images":7,"year":18,"__hash__":32},"winners\u002Fwinners\u002Famazon-rainforest-evolution-index.json","Amazon Rainforest Evolution Index","Certi Amazonia","Brazil","\u003Cp dir=\"ltr\">Understanding statistical data collected from government-funded agencies about the \"Legal Amazon\" (legally delimited areas of the Amazon forest and adjacent cities comprises nine states and 772 municipalities) currently requires deep expertise in fields such as agriculture, statistics, and biology to translate information into missing actionable insights for local communities and decision-makers.\u003C\u002Fp>\u003Cp dir=\"ltr\">This proposal from Certi Amazonia is to enhance and expand \u003Cstrong>\"Amazon Rainforest Evolution Index,\"\u003C\u002Fstrong> an existing data commons for AI development, specifically focused on environmental monitoring and localized decision-making within the Legal Amazon region. This platform will transform complex environmental data, already available to Certi Amazonia and maintained by governmental agencies, into a user-friendly and interactive format. It will focus on the user experience (UX) to empower ordinary citizens and stakeholders to understand and engage with the critical challenges facing their neighborhoods, lives, and the vital Amazonian biome.\u003C\u002Fp>\u003Cp dir=\"ltr\">Amazon Rainforest Evolution Index platform currently processes and analyzes data from governmental agencies and official data sources such as the Brazilian Institute for Geography and Statistics (IBGE) and MapBiomas, delivering summarized statistics with predefined filters and time-series analysis. It currently monitors key indicators, including the expansion of soybean, corn crops and cattle ranching over the native forest, along with the status of these forests. Our data scientists have already derived significant conclusions from this analysis, such as the observed expansion of for-profit activities over native forest areas, translating them into up-to-date global indicators maintained by the system. \u003C\u002Fp>\u003Cp dir=\"ltr\">The core objective of this proposed data commons is to enhance these processed insights into clear, interactive visualizations, adding even more indicators, with a special interest in local information, transforming vast geo-referenced raw data into insights consumable by citizens of delimited regions, such as cities and impacted communities, and presenting status evolution over time with easy-to-follow indices\u003C\u002Fp>","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002Fbb3c9587-d9c0-4f9d-b256-014f1ec5987a",{},"WINNER: Enhancement of a Data Commons","Understanding statistical data collected from government-funded agencies about the \"Legal Amazon\" (legally delimited areas of the Amazon forest and adjacent cities comprises nine states and 772 municipalities) currently requires deep expertise in fields such as agriculture, statistics, and biology to translate information into missing actionable insights for local communities and decision-makers.","amazon-rainforest-evolution-index","winners\u002Famazon-rainforest-evolution-index","mfylV23ec-p3EfijEL3F-sYQHtu5usQY4HCPlPq89fA",{"id":34,"title":35,"alt_url":7,"applicant":36,"brow":7,"country":9,"description":37,"extension":11,"files":7,"gallery":7,"image":38,"meta":39,"prize":40,"project_url":7,"short_description":41,"slug":42,"stem":43,"winner_images":7,"year":18,"__hash__":44},"winners\u002Fwinners\u002Fknow-your-city-academy.json","Know Your City Academy ","Slum Dwellers International","\u003Cp dir=\"ltr\">The proposal, co-developed by Slum Dwellers International (SDI),was for a grassroots and bottom up social movement of organised slum communities and Arkology Studio, a purpose-led systems design and software engineering company. The Know Your City Academy (KYCA) adds narrative and lived experience data to SDI’s proven Know Your City database. KYCA transforms SDI's 28-year track record of community-to-community learning into a resilient digital public infrastructure serving 5,000+ settlements across 18 countries.\u003C\u002Fp>\u003Cp dir=\"ltr\">At its heart lies a simple yet radical proposition: what if the most sophisticated AI technologies could serve the most marginalised communities without extracting their knowledge or compromising their autonomy? KYCA creates \"Living Libraries\"—community knowledge bases that integrate qualitative \"warm data\" (oral histories, images, voice notes) with structured datasets, enabling dynamic peer learning whilst ensuring communities retain complete sovereignty over their knowledge.\u003C\u002Fp>\u003Cp dir=\"ltr\">The platform would function as a locally controlled inference service running on fully community-owned infrastructure. A mother in Nairobi can ask through a messaging app. \"How did other settlements solve blocked drainage in hilly terrain?\" and receive tailored solutions from peer experiences across the SDI network, translated into her language and contextualised for her specific conditions.\u003C\u002Fp>\u003Cp dir=\"ltr\">KYCA directly confronts the colonial logic embedded in current AI platforms. The privacy invasion, corporate exploitation, and centralised fragility of many corporate systems pose existential risks to marginalised communities whose knowledge has been extracted for centuries without benefit or consent. By creating community-owned alternatives built on peer-to-peer architecture, KYCA demonstrates that technological sovereignty and social justice are inseparable. Rather than communities perpetually \"reinventing the wheel,\" KYCA facilitates trans-local knowledge exchange that accelerates local problem-solving whilst preserving community autonomy.\u003C\u002Fp>\u003Cp dir=\"ltr\">KYCA would operate without central servers, meaning it cannot be shut down, privatised, or monopolised. Each community maintains its own node and defines access rules using \"membranes,\" deciding what knowledge is shared, with whom, and under what terms. This creates a scalable federation of data cooperatives—locally autonomous yet interoperable—designed for public benefit and collective intelligence.\u003C\u002Fp>\u003Cp dir=\"ltr\">Funding would pilot Living Libraries in two of the strongest data hubs in the SDI network, Kenya and Sierra Leone with outreach to eight more SDI affiliates in the final phases of the project.\u003C\u002Fp>\u003Cp dir=\"ltr\">The plan would be to extend current systems to support multimodal data ingestion and deploying multilingual AI pipelines for cross-community knowledge discovery. Know Your City TV teams will document the process, creating accessible training materials and governance protocols whilst building the next generation of community data stewards.\u003C\u002Fp>\u003Cp dir=\"ltr\">Ensure that those who co-create knowledge remain the ones to govern it.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F9b1e7408-8351-4ec0-aab3-513ffe2d1523",{},"HONORARY DISTINCTION: Development of a Data Commons","The platform would function as a locally controlled inference service running on fully community-owned infrastructure. A mother in Nairobi can ask through a messaging app. \"How did other settlements solve blocked drainage in hilly terrain?\" and receive tailored solutions from peer experiences across the SDI network, translated into her language and contextualised for her specific conditions.","know-your-city-academy","winners\u002Fknow-your-city-academy","PU9l33VPieexM7dTNZik2OP1fGrk5K3jZFSP4AVHZmk",{"id":46,"title":47,"alt_url":7,"applicant":48,"brow":7,"country":49,"description":50,"extension":11,"files":7,"gallery":7,"image":51,"meta":52,"prize":53,"project_url":7,"short_description":54,"slug":55,"stem":56,"winner_images":7,"year":18,"__hash__":57},"winners\u002Fwinners\u002Fmalawi-voice-data-commons.json","Malawi Voice Data Commons","The Malawi Voice Data Commons","Malawi","\u003Cp dir=\"ltr\">Picture this: A farmer in rural Nsanje notices rising floodwaters. She doesn't speak English, can't read text messages, and owns only a basic phone. Today, she has no way to alert authorities. With MVDC, she dials a toll-free number and reports the danger in Chichewa. Within hours, emergency responders receive her location and deploy help—potentially saving her entire village. \u003C\u002Fp>\u003Cp dir=\"ltr\">This is the reality for 17.2 million rural Malawians who face systematic exclusion from crisis reporting due to language and literacy barriers. When Cyclone Idai devastated Malawi in 2019, affecting nearly a million people, communication failures cost lives. Rural communities couldn't report their situations, leaving them isolated for days.\u003C\u002Fp>\u003Cp dir=\"ltr\">The Malawi Voice Data Commons (MVDC) bridges this gap by integrating voice-based reporting with existing crisis management infrastructure. We're not starting from scratch—we're building on established systems from partners like Ushahidi (17+ years of crisis mapping data), UNDP (comprehensive emergency response networks), and Mozilla Common Voice (multilingual speech technology). By combining these resources with new voice data collection, we create AI-ready datasets that serve both immediate humanitarian needs and long-term language preservation. \u003C\u002Fp>\u003Cp dir=\"ltr\">It works by allowing citizens to call a toll-free number accessible from any phone. They report emergencies in their native language—initially Chichewa and English. Our hybrid processing system provides immediate keyword detection on local servers, with advanced speech recognition processing via NYU Greene during off-peak hours. The system identifies urgent keywords and alerts appropriate responders through customized dashboards. \u003C\u002Fp>\u003Cp dir=\"ltr\">This work is led by New York University Peace Research and Education Program in a consortium with Mozilla, who provides technical infrastructure and best practices. Ushahidi customizes crisis mapping tools. Four Malawian universities (MUBAS, University of Malawi, Mzuzu University, and MUST) provide linguistic expertise and student researchers. It integrates with Malawi's National Peace Architecture, including the Malawi Peace and Unity Commission (MPUC), District Peace and Unity Committees (DPUCs), Malawi Police Service, and extensive civil society networks including HRDC, CCJP, FOCESE, and others who provide ground-level intelligence and community mobilization. \u003C\u002Fp>","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F7497ba74-48d9-4a50-98e6-c0235059346e",{},"WINNER: Development of a Data Commons","The Malawi Voice Data Commons (MVDC) bridges this gap by integrating voice-based reporting with existing crisis management infrastructure. We're not starting from scratch—we're building on established systems from partners like Ushahidi (17+ years of crisis mapping data), UNDP (comprehensive emergency response networks), and Mozilla Common Voice (multilingual speech technology).","malawi-voice-data-commons","winners\u002Fmalawi-voice-data-commons","pnj4FZxvRAZgjgfGygrIk6FJBsmLt1r0rPNkW1Elq0k",{"id":59,"title":60,"alt_url":7,"applicant":61,"brow":7,"country":62,"description":63,"extension":11,"files":7,"gallery":7,"image":64,"meta":65,"prize":14,"project_url":7,"short_description":66,"slug":67,"stem":68,"winner_images":7,"year":18,"__hash__":69},"winners\u002Fwinners\u002Fplace-hub-in-nigeria.json","PLACE Hub in Nigeria","ThisisPLACE Foundation","Nigeria","\u003Cp dir=\"ltr\">PLACE is a global non-profit technology organization, originally formed from the Property Rights initiative at Omidyar Network in 2020. Our mission is to make high-resolution aerial and street imagery more open, reliable, and accessible to help governments improve lives, create economic opportunities, strengthen public services, and better care for the environment.\u003C\u002Fp>\u003Cp dir=\"ltr\">Through our operational spatial data commons, PLACE enables governments, businesses, and communities to address local challenges with localized data. In partnership with national governments—who retain full ownership of the data—we collect ultra-high-resolution (10cm) aerial and street-level imagery using advanced UAV and mobile mapping systems. This foundational data supports a wide range of applications, including urban planning, property taxation, flood modeling, solar panel placement, insurance, and infrastructure development.\u003C\u002Fp>\u003Cp dir=\"ltr\">This project sustains and expands our existing data commons by activating a PLACE Hub in Abuja, Nigeria and bringing the benefits closer to the local communities that need it most. PLACE has already completed data collection in Abuja (April 2025) and maintains a formal partnership with the Office of the Surveyor General of the Federation (OSGOF). With this foundation, PLACE is uniquely positioned to immediately catalyze the use of this data for AI development while simultaneously training local talent, launching new data capture in a second Nigerian city and evolving our data trust model.\u003C\u002Fp>\u003Cp dir=\"ltr\">Africa is at risk of being left behind in the AI revolution due to a lack of foundational data. PLACE addresses this gap by providing raw, high-quality geospatial data essential for machine learning models that can drive climate resilience, land governance, and economic development. This initiative ensures that African cities are not only visible in global datasets but also equipped to generate their own AI-driven solutions.\u003C\u002Fp>\u003Cp dir=\"ltr\">The project begins with the launch of the PLACE Hub in Abuja, embedded within Nigeria’s tech ecosystem. Public training sessions will introduce participants to the ethical use of spatial data in machine learning, and an AI Challenge will award $4,000 to the most impactful applications built using PLACE data. In partnership with AFRIGIST and OSGOF, we will train students and government staff in geospatial data collection and processing.\u003C\u002Fp>\u003Cp dir=\"ltr\">In month 3, we will conduct a full-scale data collection mission in a second Nigerian city, followed by a second AI Challenge with an additional $4,000 in awards. All data and resulting applications will be shared through the PLACE Trust under a Creative Commons license, ensuring open access while preserving sovereign government ownership of the data.\u003C\u002Fp>\u003Cp dir=\"ltr\">This initiative will train a new generation of geospatial and AI professionals, support real-world applications tailored to local needs, and create a scalable model for innovation hubs across Africa. Most importantly, it sustains and expands PLACE’s trusted data commons—ensuring that high-quality, open geospatial data continues to power equitable AI development across the continent.\u003C\u002Fp>\u003Cp dir=\"ltr\">PLACE is not just collecting data—we are building the infrastructure for inclusive innovation.\u003C\u002Fp>","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F2a2ccfc1-106f-4b19-a8e5-09ae6a6b1aac",{},"PLACE is a global non-profit technology organization, originally formed from the Property Rights initiative at Omidyar Network in 2020. Our mission is to make high-resolution aerial and street imagery more open, reliable, and accessible to help governments improve lives, create economic opportunities, strengthen public services, and better care for the environment.","place-hub-in-nigeria","winners\u002Fplace-hub-in-nigeria","Fg0AVLTEd_Z4vcA-AEdLPaNUh0qANlMT0NlCuFhWYJo",{"id":71,"title":72,"alt_url":73,"applicant":74,"brow":7,"country":24,"description":75,"extension":11,"files":7,"gallery":7,"image":76,"meta":77,"prize":40,"project_url":78,"short_description":79,"slug":80,"stem":81,"winner_images":7,"year":18,"__hash__":82},"winners\u002Fwinners\u002Fquerido-diario.json","Querido Diário","https:\u002F\u002Fgithub.com\u002Fokfn-brasil\u002Fquerido-diario","Open Knowledge Brasil","\u003Cp dir=\"ltr\">The data commons to be developed in this proposal derives from ‘Querido Diário’ (in English, Dear Diary), the only platform that makes the full text of municipal official gazettes (or diaries) in Brazil centrally available to the public in an accessible, open, and free format. \u003C\u002Fp>\u003Cp dir=\"ltr\">Unfortunately, access to Brazilian official gazettes remains heavily restricted due to issues such as the use of closed, machine-unreadable formats, lack of standardization, and the absence of text search mechanisms. To address these challenges, OKBR developed the ‘Querido Diário’ (QD) platform. It leverages data intelligence to enable systematic access to and tracking of information within these documents. Through QD, it is possible to, for instance, analyze how a city is using facial recognition technologies, examine the application of AI in school administration across municipalities, or monitor publications related to climate and the environment, among other use cases. It is worth noting that the technical (legal) language of the official gazettes is in itself exclusionary. \u003C\u002Fp>\u003Cp dir=\"ltr\">Preparing these data to build an LLM that can interface the information from datasets with the demands of the population more naturally and fluidly (following conversational models) will make official gazettes more accessible and usable. Furthermore, QD boosted by AI models will provide critical inputs for informed decision-making at the local level in Brazil, enabling greater public oversight of government actions. As part of this initiative, we will prepare data sources to use for training AI models. Experts in public policy will annotate the dataset and develop heuristics to enhance their utility. The project would last 12 months.\u003C\u002Fp>","https:\u002F\u002Fcms.thegovlab.com\u002Fassets\u002F61ffea52-712c-4399-9f94-b127b4253125",{},"https:\u002F\u002Fqueridodiario.ok.org.br\u002F","The data commons to be developed in this proposal derives from ‘Querido Diário’ (in English, Dear Diary), the only platform that makes the full text of municipal official gazettes (or diaries) in Brazil centrally available to the public in an accessible, open, and free format.","querido-diario","winners\u002Fquerido-diario","mV5C1EHreJIaC9IlqFbOOADPoaGcz6TAVRRjUOW_1dQ",1781723909372]