1. Data Ecosystems and Disaster Risk Reduction in Cross-border Regions: Visioning from 2020 Roya Valley Flood Disaster. 2. The Impact of conflicts on Data Sharing for Disaster Risk Reduction French Red Cross – Mercedes Aguerre – Mercedes.aguerre@croix-rouge.fr Université Paris-Dauphine PSL Anouck Adrot Anouck.adrot@dauphine.psl.eu
Data sharing for Disaster Risk Reduction in different contexts Read More »
As climate change increases the frequency and intensity of extreme weather events, governments and civil society organizations are making large investments in early warning systems (EWS) with the aim to avoid death and destruction from hydro-meteorological events. Early warning systems have four components: (1) risk knowledge, (2) monitoring and warning, (3) warning dissemination and communication,
In recent years, chatbots have offered humanitarian operations the possibility to automate personalised engagement and support, inform tailored programme design and gather and share information at a large scale. However, adopting a chatbot is never straightforward, and there are many considerations that should go into doing so responsibly and effectively. With some humanitarian organisations having experimented with chatbots
Chatbots in humanitarian contexts: Learning from practitioner experiences Read More »
This paper outlines the opportunities and challenges to improve end-to-end flood early warning systems, considering the scientific, technical and institutional/governance dimensions. Kenya and the wider East African region suffer from significant flood risk, as illustrated by major losses of lives, livelihoods and assets in the most recent years. This is likely to increase in future
Extreme heat is deadly, on the rise globally, and its toll can be reduced. Despite the growing adverse impacts, there is a lack of global awareness, risk analysis, and action to combat heat risks. The Global Disaster Preparedness Center of the American Red Cross, the Red Cross Red Crescent Climate Centre, and the Global Heat
Extreme Heat Research Webinars Read More »
Anticipatory action (AA) is a growing area of climate and disaster risk management that emphasizes the use of climate services and risk analyses to predict where crises might strike and enable action to prevent or mitigate impacts before disasters occur. Based on interviews with stakeholders involved in Red Cross Red Crescent (RCRC) AA programs in
This research is carried out by Dr. Edgar Miguel López Álvarez, MD1, Prof. Gabriel Andre Azurdia Mijangos2, Luis R. Torres-Hostos, PhD3, Anna Erwin, PhD4, Rubén A. Mazariegos, PhD5 with funding support from the Global Disaster Preparedness Center. This research examines the relationships between extreme heat and migration/ displacement/ human mobility, using a mixed quantitative and
This research is carried out by Bethwel Mutai 1 with funding support from the Global Disaster Preparedness Center. Although heat-related disasters have risen worldwide, lack of reliable and consistent climate datasets and standard detection metrics in Africa can easily downplay not only the existence of episodes of extreme heat, but also the concomitant human health
Heatwaves-Driven Human Morbidity and Mortality over Selected Counties in Kenya Read More »
This research is carried out by Shamsu-Deen Ziblim1, Victor Mogre2, Sophia E.A. Kpebu2, Bright Y. Amoore2, Bruce A. Abugri2, Rayza Sison3, Laud Boateng3, Rajesh Vedathan3 with funding support from the Global Disaster Preparedness Center. The health risks of extreme heat hinge on not only on exposure but also on behavioral related, which are often related
Public Perception of the Health and Social Risks of Extreme Heat in Northern Ghana Read More »
This research is carried out by Niti Mishra1, Peehu Pardeshi2, Shivani Kaim1, Dipali Bar1, Bateswar Das1, Saurabhi Niroula1, Poulami Ganguli1, Muskaan Ahmed1. with funding support from the Global Disaster Preparedness Center. Recently, the year 2022 recorded extreme temperatures which were greatly unpredictable. Within the tropics, India underwent major heat stress during and before the summer months,