Big Crisis Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Crisis Data write by Carlos Castillo. This book was released on 2016-07-04. Big Crisis Data available in PDF, EPUB and Kindle. Social media is invaluable during crises like natural disasters, but difficult to analyze. This book shows how computer science can help.
Big Crisis Data
Big Crisis Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Crisis Data write by Carlos Castillo. This book was released on 2016-07-04. Big Crisis Data available in PDF, EPUB and Kindle. Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages that exceeds the human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and human compassion - expressed by thousands of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 500 references to in-depth information.
Big Data
Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data write by Viktor Mayer-Schönberger. This book was released on 2013. Big Data available in PDF, EPUB and Kindle. A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
Big Data, Surveillance and Crisis Management
Big Data, Surveillance and Crisis Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data, Surveillance and Crisis Management write by Kees Boersma. This book was released on 2017-08-14. Big Data, Surveillance and Crisis Management available in PDF, EPUB and Kindle. Big data, surveillance, crisis management. Three largely different and richly researched fields, however, the interplay amongst these three domains is rarely addressed. Through unique international case studies this book examines the links between these three fields. Considering crisis management as an 'umbrella term' that covers a number of crises and ways of managing them, this book explores the collection of ‘big data’ by governmental crisis organisations, as well as the unintended consequences of using such data. In particular, through the lens of surveillance, the contributions investigate how the use and abuse of big data can easily lead to monitoring and controlling the behaviour of people affected by crises. Readers will understand that big data in crisis management must be examined as a political process, involving questions of power and transparency. A highly topical volume, Big Data, Surveillance and Crisis Management will appeal to postgraduate students and postdoctoral researchers interested in fields including Sociology and Surveillance Studies, Disaster and Crisis Management, Media Studies, Governmentality, Organisation Theory and Information Society Studies.
Data Science Advancements in Pandemic and Outbreak Management
Data Science Advancements in Pandemic and Outbreak Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science Advancements in Pandemic and Outbreak Management write by Asimakopoulou, Eleana. This book was released on 2021-04-09. Data Science Advancements in Pandemic and Outbreak Management available in PDF, EPUB and Kindle. Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.
