Essays about: "Early warning system"

Showing result 1 - 5 of 34 essays containing the words Early warning system.

  1. 1. Forecast-based Humanitarian Action and Conflict : Promises and pitfalls of planning for anticipatory humanitarian response to armed conflict

    University essay from Uppsala universitet/Teologiska institutionen

    Author : Loic Hostetter; [2019]
    Keywords : humanitarian; humanitarian action; international aid; forecast-based financing; forecast-based action; humanitarian aid; international humanitarian aid; FbF; FbA; anticipatory humanitarian action; Loic Hostetter; German Red Cross; Red Cross Movement; Start Fund; Start Network; early warning; early warning system; anticipatory humanitarian response; EWS; FbA;

    Abstract : Practitioners of Forecast-based Action (FbA) argue that a humanitarian response able to utilize forecasts to accurately predict disaster, secure funding, and take action before the onset of a crisis will benefit donors and beneficiaries alike. In search of effective and efficient early-action regimes, a number of major humanitarian actors are developing FbA projects of various designs, predominantly in response to natural disaster and famine. READ MORE

  2. 2. From Recognition to Adaptation: How does Forecasting relate to International Aid Funding in Food Security?

    University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : Matthias Grawehr; Þórarinn Gunnarsson; [2019]
    Keywords : Forecasting; Food Insecurity; Famine; Funding; FEWS NET; Disaster Risk Reduction; Early Warning System; Complexity; Recognition; Adaptation; Technology and Engineering; Social Sciences;

    Abstract : The importance of early adaptation to reduce the impact of recognized risks has been underlined in recent years as featured aspect of the Sustainable Development Goals and the Sendai Framework for Action. The aim of this study is to analyze the relationship between forecasted food insecurity levels and allocated funding directed at food security. READ MORE

  3. 3. Mobile-Based Early WarningSystems in Mozambique. : An exploratory study on the viability to integrate Cell Broadcast into disaster mitigation routines.

    University essay from Uppsala universitet/Institutionen för informatik och media

    Author : Douglas Ferreira Nogueira; [2019]
    Keywords : Public Warning Systems; Early warning Systems; Cell Broadcast; Mozambique; Disaster risk Management; Climate Change Adaptation; Emergency Response; Sistema de Aviso Prévio; Moçambique; Gestão de Calamidade; Mudança climatica; INGC; CENOE; INAM; DNGRH;

    Abstract : Mozambique is one of the countries most affected by natural hazards in the world. Therefore it can benefit greatly from enhancements on its early warning system. READ MORE

  4. 4. Predicting runners’ oxygen consumption on flat terrain using accelerometer data

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Kevin Olsson; Valeriy Ivinskiy; [2019]
    Keywords : Bachelor Thesis; Prediciting oxygen consumption; Accelerometer; Fitness technology; Kandidatexamensarbete; Prediktion av syrekonsumtion; Accelerometer; Träningselektronik;

    Abstract : This project aimed to use accelerometer data and KPIs to predict the oxygen consumption of runners’ during exercises on flat terrain. Based on many studies researching the relationship between oxygen consumption and running economy and a small set of data, a model was constructed which had a prediction accuracy of 81.1% on one individual. READ MORE

  5. 5. Improving armed conflict prediction using machine learning : ViEWS+

    University essay from Uppsala universitet/Institutionen för informationsteknologi; Uppsala universitet/Institutionen för informationsteknologi; Uppsala universitet/Institutionen för informationsteknologi

    Author : Valeria Helle; Andra-Stefania Negus; Jakob Nyberg; [2018]
    Keywords : Machine learning; supervised machine learning; conflict prediction; peace and conflict; feature selection; parameter selection; random forest; decision trees;

    Abstract : Our project, ViEWS+, expands the software functionality of the Violence EarlyWarning System (ViEWS). ViEWS aims to predict the probabilities of armed conflicts in the next 36 months using machine learning. Governments and policy-makers may use conflict predictions to decide where to deliver aid and resources, potentially saving lives. READ MORE