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DISASTER RESPONSE 2.O


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DISASTER RESPONSE 2.O


 
 

WE SAVE LIVES WITH Artificial INTELLIGENCE

 

Sempo uses crowdsourcing and AI to analyse data published online in the aftermath of disasters, allowing response teams to react more quickly and effectively.

 

Sempo is currently under development, and we can't do this without you.

 
 
 
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The Problem


The Problem


 

a huge volume of datA is published online in the aftermath of a disaster.

News articles, social media posts and official government statements all have the potential to provide crucial information for response teams seeking greater insights into affected communities.

Unfortunately, this data is not very USEFUL

There's simply too much data being published online for response teams to process effectively.

Furthermore, even if responders can sort out the relevant insights from the noise, it’s difficult to tell whether the information is trustworthy.

 
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The Solution


The Solution


 

SEMPO allows volunteers to give their time to analyse online information on behalf of response teams.

 

 

Sempo's volunteers engage in three life-saving activities:

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Identifying issues of potential significance to response teams

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Finding information relevant to an issue

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Assessing the trustworthiness and importance of this information

 

By using machine learning to make sense of online data, SEMPO's crowd helps to reduce the chaos of an early stage disaster Response.

 
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Join the sempo crowd


Join the sempo crowd


Join the sEMpo crowd

 

Sempo will enter beta in August 2017.