UR2020 # Emerging technologies

   Mapathons, machine-learning, models – oh my! A friendly debate about data sources and how to use them> The world of data sources that are useful for the assessment and communication of risk is expanding rapidly. New and emerging data sources, especially for geospatial data, present exciting opportunities to aid disaster prevention, preparation, response, and…

   Governing risks of emerging technologies in Asia: New approaches to AI, blockchain and precision medicine use · AI-Machine Learning · Emerging technologies The workshop brings together thematic experts from diverse backgrounds to share and shape ideas for governing risks of emerging technologies in the era of Fourth Industrial Revolution (4IR). This workshop is motivated…

   Multiform Flood Risk in a complex future flooded world – Earth Observation and Complex Systems in support of compound floods in rapidly changing environments use · AI-Machine Learning · Data · Emerging technologies · risk assessment · earth observations · flood Risk, and particularly flood risk, can be seen as the resultant of difference…

   Disruptive tech for Africa identify · AI-Machine Learning · Emerging technologies Organizer: World Bank UR2020 Home Frequently Asked Questions Agenda Community Sessions UR Collaboration Session tags Identify Communicate Use AI / Machine learning Data Cities Emerging technologies Risk communication Risk assessment Infrastructure Youth and young professionals Fragility, conflict and violence settings Nature-based solutions Earth…

   Increasing disaster resilience in Asia-Pacific cities through science and technology identify · use · Infrastructure · Emerging technologies · cities Digitisation offers new opportunities for science to analyse the complexity of urban environments and stimulates the development of new or disruptive technologies. Such technologies can support the development of smart and disaster resilient cities….

Are you inspired by the use of interactive maps and data visualizations to communicate information about natural hazards, vulnerability, and risk? Want to develop skills to build similar tools yourself? Join us for a series of hands-on trainings designed to take you through the steps from data to design to finished creation.

As the Understanding Risk Community continues to explore the opportunities offered by artificial intelligence and related technologies and expand the range of applications for which they are used, we need to pay close attention to the risks that these tools create. Significant attention is currently being given by academics, journalists, and the public to questions…

Urbanisation challenges Africa’s young labour force, which needs to be skilled to solve problems caused by unplanned urbanisation. This is a major opportunity for African universities. Young, graduated experts need to be able to steer urbanisation to sustainable trajectories with digital skills and innovative uses of geospatial data and technologies for urban transformation. The Resilience…

Risk, in its technical (and classic) definition is the product of three factors: hazard, exposure and vulnerability. Curiously, only in 2015 the UNDRR clearly defined that the aforementioned entities are represented also by communities and individuals, enlarging vulnerability to a set of intrinsic characteristics with a human feature. In the correct and effective estimation of…

n one year and 12 cities, the Open Cities Africa program trained neighborhood residents, university students, and civil servants how to use phones, cameras, drones and other tech to gather data on disaster risk. Yet data collection was only the beginning. How can hundreds of trained mappers and hundreds of thousands of mapped features help…

From earth observations and weather forecasts to machine learning and predictive modeling, the science and technology of today enables people and organizations to collect decades of data and improve our understanding of future risks. Whether we are preparing to host displaced populations, anticipating destructive floods, alerting urban inhabitants to take action to protect themselves against…

As an all-of-society challenge, addressing climate and disaster risk issues will require diverse participation and collaboration across boundaries of all sorts, whether they be disciplinary, national, professional, cultural, age, etc.
Yet forming effective collaborations across these diverse boundaries is difficult and rare. With the support of the Understanding Risk community and World Bank Disaster Risk…

Small island developing states (SIDS) are the most exposed to disasters and the impacts of a changing climate. Innovating to address these issues is therefore a necessity for their survival.
Over the past 10 years, countries and territories have made strategic advancements combining cutting edge technology and innovative financing strategies with human centric solutions.

The Learning Objective of this session is “understand how low-cost hardware and open-source software can be used to establish a high quality geospatial dataset as a baseline for understanding risk in urban environments”. OpenDroneMap is a free (libre) and open source photogrammetry toolkit targeted at low flying aircraft imagery processing.

The Open Cities AI Challenge is a global machine learning competition featuring new geospatial data and $15K in prizes to engage the AI expert community to develop better solutions to map buildings in African cities and examine responsible AI use for disaster risk management (DRM).
The Challenge dataset represents 10+ diverse cities and regions across…

Ecosystems in general and Nature-based Solutions (NbS) in particular are increasingly recognized for their role in reducing disaster risk and the harmful impacts of climate change.
Mangroves, sea grasses and corals have been proven to reduce wave energy and related impacts from storm surges; forests and other vegetation can reduce landslide susceptibility by removing excessive…

This session aims to gather institutions, innovators and individuals involved in the study and actual conduct of risk assessments for disaster risk reduction and climate change adaptation. We will tackle and showcase, through demonstrations, existing methods, new ideas and good practices, especially in the use of geospatial information and technologies in promoting data integration, processes…

Community engagement has become a mainstay for urban planning and disaster risk management. It takes diverse forms, from consultation with female neighborhood leaders, to partnering with universities for data collection and analysis, to local businesses and entrepreneurs bringing innovation into government and humanitarian work.What do we need to do to push the envelope further?