The role of Technology in managing Disasters - Seeker's Thoughts

Recent Posts

Seeker's Thoughts

For Clearing the Blur Spot.

Popular Posts

The role of Technology in managing Disasters

Introduction - Disasters are on rise, and due to change in climate- there is a change in weather patterns. Disaster Management aims to reduce the negative impacts of natural calamities and safeguarding the interest of people. The pattern of Tsunami, catastrophic events can no longer be ignored. In 2018- In various part of the globe, the natural calamities have shaken the world. 

15 disaster events caused more than $22 billion in damages in the United States in 2017, according to the National Oceanic and Atmospheric Administration (NOAA). And that doesn’t include the Northern California Wildfires or the biggest hurricanes.
Hurricane Harvey’s price tag topped $125 billion, according to NOAA. Hurricanes Irma ($64-92 billion) and Maria ($40-80 billion) reduced much of Puerto Rico, the U.S. Virgin Islands, and the Caribbean to ruins. And of course, these numbers only tell part of the story. The humanitarian impact is incalculable.
The data has different number for different countries. India, Bangladesh, Chile and Indonesia are the some of the names which also lost in billions due to disasters.  
Image Source -
Challenges- Effective monitoring of disasters is a global challenge, and detailed information about disasters is unavailable and the available information remains un-managed. 
That big information often does not help in getting the conclusions 

Impacts of technologies like Big Data and Machine Learning-  Big data is a big and complex data sets that can not be executed by simple application. Data sets grow daily and Big data methods can help in maintaining and predicting the data. 
Same way artificial intelligence or machine learning is intelligence demonstrated by machines.
New technologies like Big Data and Artificial Intelligence can execute information with more accuracy than human mind. It can store big amount of data as well as can analyze it.
Integration of data base will be easier, and processing from information will be easier.
Security issues must be considered as there may be chances of data tempering from some online enemies of the nation.
some of the most useful data generated during a crisis comes from social media users and on-the-ground aid workers. Images and comments from Twitter, Facebook, Instagram, and Youtube, for example, can help experts make initial damage assessments. This information can also help rescue workers find disaster victims more quickly, while identifying and mapping new disaster sites in need of aid.
Finally, combining data from satellite imagery, seismometers,  with location-tagged social media comments can help relief organizations to provide early warnings and verify reports in real-time.
Identifying the population hotspot will be a lot easier with the help of technologies.

Recent advances in machine learning and artificial intelligence are allowing researchers, engineers, and scientists to access and analyze new and bigger data sources than ever before.
Governments and relief agencies are beginning to use these tools to coordinate better disaster relief programs. For example, large-scale behavior and movement data, run through predictive machine learning models, can help officials distribute supplies to where people are going, rather than where they were.
Predictive analytics programs like these are still in their early stages, but offer a promising new approach to disaster relief.
In short, the role of AI in disaster relief is to help governments and relief agencies parse through large volumes of complex, fragmented data to generate useful information that they can act on more quickly than before.