Small and medium-sized enterprises (SMEs) are the backbone of many Asian economies, providing employment and contributing significantly to GDP. However, SMEs are particularly vulnerable to disasters and climate change due to limited resources and capacity for recovery (UNDRR, 2022). Recent advancements in artificial intelligence (AI) and automation offer new opportunities to enhance the resilience of SMEs by improving disaster preparedness, risk mitigation, and post-disaster recovery.
This research aims to provide a timely and relevant overview of how emerging technologies can enhance SME resilience.
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Worldwide web-based EO system (tool) that provides daily 15-day forecasts and a 40-year historical simulation for every river of the world.
Satellite-based online platform (tool) to enable near-real-time monitoring of global croplands, including the condition of drought-affected crops, allowing prediction of the impact of drought on harvest yields.
It aims to understand how countries can transition towards sustainable land-use and food systems. In particular, we ask how countries can collectively meet associated Sustainable Development Goals (SDGs) and the objectives of the Paris Agreement.
The Armed Conflict Location & Event Data Project (ACLED) collects real-time data on the locations, dates, actors, fatalities, and types of all reported political violence and protest events around the world.
The INFORM Risk Index is a global, open-source risk assessment for humanitarian crises and disasters. It can support decisions about prevention, preparedness, and response. INFORM is a collaboration of the Inter-Agency Standing Committee Reference Group on Risk, Early Warning and Preparedness and the European Commission.
The first three (3) tools were presented at the 7th Session of the Global Platform for Disaster Risk Reduction. Specifically, these are for Global Risk Observations, Risk Monitoring, and Building Resilience. These were developed by the Group on Earth Observations in collaboration with United Nations Office for Disaster Risk Reduction (UNDRR) and with technical support from Esri.
HazardHunterPH is a tool that can be used to generate indicative hazard assessment reports on the user's specified location. It aims to increase people's awareness of natural hazards and advocates the implementation of plans to prepare for and mitigate the effects of hazards.
A web application that can help generate maps and analytics using hazards, exposure, and location data from the GeoRiskPH database. Visualize assessments in the form of maps, charts, and graphs to better understand the scope and prepare for natural hazards, such as tsunami, earthquake, landslide, and flood, in your area.
Using advanced machine learning techniques, the Team of Thinking Machines estimates poverty using big data (e.g., from Project BASS and Speedtest by Ookla) to analyze spatial patterns of digital inequality, better inform decision-making, and target strategic investments in digital development.
At ASilva Innovations, we believe that your expertise can shape the future of SMEs in Asia. We invite you to take part in our Quick Survey to help us design advanced AI and automation solutions that will enhance Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA) for SMEs like yours.
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