# Emerging technologies

Governing risks of emerging technologies in Asia: New approaches to AI, blockchain and precision medicine

   Tuesday, December 1: 11.00 – 13.00 Governing risks of emerging technologies in Asia: New approaches to AI, blockchain and precision medicine Garnet 218 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…

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Multiform Flood Risk in a complex future flooded world – Earth Observation and Complex Systems in support of compound floods in rapidly changing environments

   Tuesday, December 1: 09.00 – 10.30 Multiform Flood Risk in a complex future flooded world – Earth Observation and Complex Systems in support of compound floods in rapidly changing environments Tourmaline 207, 208 use · AI-Machine Learning · Data · Emerging technologies · risk assessment · earth observations · flood Risk, and particularly flood…

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Disruptive tech for Africa

   Tuesday, December 1: 09.00 – 10.30 Disruptive tech for Africa Peridot 204, 205 identify · AI-Machine Learning · Emerging technologies Organizer: World Bank UR2020 Quick Links Home / Registration FAQs UR Collaboration Travel Preliminary Agenda Main Conference topics Focus day tags Identify Communicate Use AI / Machine learning Data Cities Emerging technologies Risk communication…

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Increasing disaster resilience in Asia-Pacific cities through science and technology

   Monday, November 30: 09.00 – 10.30 Increasing disaster resilience in Asia-Pacific cities through science and technology Opal 101 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…

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Responsible AI for disaster risk management

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…

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Resilience Academy: A sustainability solution for urban resilience skills development in Africa

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…

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Access the past and foretell the future: Peering into the crystal ball of early action

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…

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Forming radical collaborations to address climate and disaster risk: The Understanding Risk Field Lab

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…

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Open Cities AI Challenge: Results workshop

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…

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Using geospatial tools for nature-based solutions to reducing disaster and climate risks: A hands-on workshop session

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…

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Innovations in data analysis, geospatial technologies, and related frameworks in risk valuation

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…

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It takes a village: Digital skills to improve urban resilience in Africa

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?

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