Ecomonitor
{"title": "Ecomonitor", "logoImg": "bafkreifi7s24nikzzjvqgrfobstrpoors2ryq2f7melhymbkvb6mrwvy4y", "website": "https://ecomonitor.xyz/", "bannerImg": "bafkreifggnnukgaozd7fjynt2qe7uvdxkdneiex6zbhrqh2jf4hw5z7lfa", "createdAt": 1743163926663, "userGithub": " smfang", "credentials": {}, "description": "Ecomonitor is a nature risk  management platform with web3 enabled verified data lineage and financing.  \n\nOur demo platform incorporates hazards, exposure, and impact assessments. We are creating an additional socio-economic analytics module to predict and quantify the impact of natural hazards + resilience solutions on coastal communities. For example, nature-based resilience infrastructure like mangroves, which have benefits from carbon sequestration to storm surge protection. \n\nDemo (Coastal Risk Assessment): https://www.youtube.com/watch?v=EcgY_YBIRUc\n\nProblem: \n\nThe world is facing unprecedented challenges in the form of extreme weather events, whose frequency and intensity are being amplified by climate change.  Global losses in natural disasters totaled $320B in 2024, making risk mitigation (i.e. insurance) increasingly unaffordable.  \n\nAgainst the background of growing natural disasters is the funding gap in resilience and adaptation.  Resilience and adaptation measures, especially nature based solutions, are especially crucial in safeguarding human lives and properties.   The gap in global resilience and adaptation financing is projected to be close to $2 trillion.\n\nSolution: \n\nWe see the shortfall in resilience financing and risk mitigation as key issue areas that can be solved with web3 financing rails. The first step to solve this is to provide better assessments of impacts from natural disasters, and enabling this info to be used on-chain.  \n\nQuantification of the resilience options and benefits enables more accurate return and risk profiles for investments benefiting the resilience and adaptation initiatives.   A better understanding of risk and return facilitates the flow of climate investments into climate risk mitigation.   \n\nNature-based resilience is an important concept that merits additional attention in the climate discourses.  Nature-based solutions like mangroves and seagrasses have important risk mitigation attributes. Sadly, these attributes are rarely accounted for correctly in risk premium pricing for insurance coverage and specialist financing cases.  We are building to change that by bringing science and ML driven models  with a verified data lineage and oracle for climate resilience and financing use cases. \n\n\nEcological Input Oracle: We will enable the use of our analytics and verified data onchain through an ecological input oracle, which can enable development of other climate finance dAPPs.  \n\nNature Risk Analytics:  Ecomonitor is developing an AI-powered risk analytics and scenario planning tool that enables insurers and investors to quantify nature-related risks and losses versus the mitigation benefits of resilience investments.  Our system ingests data from climate projections, ecological indicators, and socioeconomic metrics, processing it through a hybrid modeling framework. What sets our approach apart is the fusion of machine learning with models grounded in physics and ecology, in the form of embedded equations that capture scientific knowledge and empirical insights. This makes our platform aware of cause-and-effect relationships allows it to produce dynamic risk indices and impact assessments that adapt to evolving conditions.\n\nFuture Development Plan:  Developing risk capital dApp to that allow users to fund and partake return in Natural Catastrophe insurances and resilience financing vehicles. The impacts and exposure predictions  and oracle support general refi dApp development. \n\nFunding Use:\n\nModel and risk analytics development: Integration of the scientific, AI, and ecology models for assessment of hazards, exposures, and impacts.  \n\nCrypto-infrastructure:  Development will focus on two main categories: \n\n+ Verified data oracle: enable verified ecological data oracle to input risk analytics and offchain ecological data onchain for climate finance instruments.\n\n+ V1 Implementation of risk syndicate funding vault for financing of risk covers and resilience measures\n\nProduct and Technical Milestones \n\n+ Developed AI x science based hybrid model system delivering prediction for impacts of nature hazards and cost-benefit of resilience impacts\n+ Developed user facing nature risk platform with verified data pipeline (Truebit integration) \n+ Data oracles to provide analytics on-chain for use of Refi dAPP.\n+ V1 Implementation of risk syndicate funding vault\n\n\n\nTeam:\n\nRobert Schlegel\n\nRobert is an academic researcher with PhD in biodiversity modeling. His field of expertise is on the impacts of extreme climate events on ecosystem functioning. His technical expertise is in the field research diving where he has worked as a team leader for instrumentation deployment and field sampling. His practical field experience ranges from Africa, North America, the EU, and the Arctic.\n\nMarios Kagarlis\n\nMarios is a technical leader that first set out as a nuclear physicist, and has since patented multiple distinguished AI focussed research outputs. This includes two decades of innovative leadership directing teams that deliver transformative solutions. These real-world impacts include digital twins and financial applications with global recognition. Many of which have become critical strategic decision support tools that underpin policy-making in the ongoing energy transition.\n\n\nMin-Si Wang\n\nMin-Si is a product lead in traditional finance services + web3 protocols.  She was the former CPO for FX fintech, AZA Finance(BitPesa), as well as an M&A consultant and risk model developer. She has worked as the product market lead for a venture-backed cryptography/privacy firm (Espresso Systems) and advised Truebit, a verification protocol. \n\n\n\n", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "Ecomonitor", "projectTwitter": "ecomonitorxyz"}