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Spatial Computing and
Social Media in the Context of
Disaster Management
RASHID ANSARI
170847980002
MTECH (ACDS)
INTRODUCTION
 Social media, such as blogs, Twitter, and information portals,
have emerged as the dominant communication mechanism of
today's society.
 User interact and connected with different sources.
 Like retrieving and uploading multimodal data, searching,
sending messages on social media
 Dynamic real-time incident information collected from on-site
human responders about the extent of damage.
 Better response and outcome to the total crisis.
Spatial Computing Environment
 A key characteristic of this spatial computing environment is
data sources’ richness and diversity.
 Such sources include social media feeds, blogs, maps and GIS
systems, digital libraries, e-government portals, television, and
newsfeeds.
 Applications and sensors built around smartphones and other
devices create a huge volume of data with different modalities
and types
Multimodal Data
Fig1:Spatial Computing
Environment
SURVEY
 A survey by American Red Cross reports that US citizens are
increasingly relying on social media, mobile devices, and
other online portals.
 For ongoing disasters, safety information and report their
safety during emergencies
 Approx. 80% participants expect emergency response
organization to monitor social sites.
 More than 30% expect to receive help within one hour from
posting a request.
SMART-C
 The US Department of Homeland Security’s Science & Technology
Directorate (DHS-S&T) has initiated Social Media Alert and
Response to Threats to Citizens (SMART-C).
 SMART-C aims to develop citizens’ participatory sensing capabilities
for decision support throughout the disaster life cycle via a
multitude of devices (such as smartphones) and modalities (MMS
messages, Web portals, blogs, tweets, and so on).
 The objective is to establish a bidirectional link between emergency
response authorities and citizens that facilitates receiving early
warning signals.
Architecture
of SMART-C
Spatial computing and social media in the context of disaster management
Features of SMART-C
 Multi-modal Data Ingestion
 Full Disaster Lifecycle Alerts
 Customization
 Analytical Capabilities
 Manual Override
 Plug-n-Play Technology
 Scalability
 Reliability
CHALLENGES
Combining spatial computing and social media can present some unique challenges.
 Privacy
 Data Privacy
 Context Privacy
 Event Detection and Characterization
 Integration and enrichment of multimodal data
 Data quality and reliability
 Validation and corroboration
 Smart Devices and the Cloud
Examples
Spatial computing and social media in the context of disaster management
Spatial computing and social media in the context of disaster management
Spatial computing and social media in the context of disaster management
Spatial computing and social media in the context of disaster management
REFRENCES
 Adam, N.R., Shafiq, B. and Staffin, R., 2012. Spatial computing and social media in
the context of disaster management. IEEE Intelligent Systems, 27(6), pp.90-96.
 Adam, Nabil R., Basit Shafiq, and Robin Staffin. "Spatial computing and social
media in the context of disaster management." IEEE Intelligent Systems 27, no. 6
(2012): 90-96.
 Adam, Nabil R., Basit Shafiq, and Robin Staffin. "Spatial computing and social
media in the context of disaster management." IEEE Intelligent Systems 27.6 (2012):
90-96.
Spatial computing and social media in the context of disaster management

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Spatial computing and social media in the context of disaster management

  • 1. Spatial Computing and Social Media in the Context of Disaster Management RASHID ANSARI 170847980002 MTECH (ACDS)
  • 2. INTRODUCTION  Social media, such as blogs, Twitter, and information portals, have emerged as the dominant communication mechanism of today's society.  User interact and connected with different sources.  Like retrieving and uploading multimodal data, searching, sending messages on social media  Dynamic real-time incident information collected from on-site human responders about the extent of damage.  Better response and outcome to the total crisis.
  • 3. Spatial Computing Environment  A key characteristic of this spatial computing environment is data sources’ richness and diversity.  Such sources include social media feeds, blogs, maps and GIS systems, digital libraries, e-government portals, television, and newsfeeds.  Applications and sensors built around smartphones and other devices create a huge volume of data with different modalities and types
  • 6. SURVEY  A survey by American Red Cross reports that US citizens are increasingly relying on social media, mobile devices, and other online portals.  For ongoing disasters, safety information and report their safety during emergencies  Approx. 80% participants expect emergency response organization to monitor social sites.  More than 30% expect to receive help within one hour from posting a request.
  • 7. SMART-C  The US Department of Homeland Security’s Science & Technology Directorate (DHS-S&T) has initiated Social Media Alert and Response to Threats to Citizens (SMART-C).  SMART-C aims to develop citizens’ participatory sensing capabilities for decision support throughout the disaster life cycle via a multitude of devices (such as smartphones) and modalities (MMS messages, Web portals, blogs, tweets, and so on).  The objective is to establish a bidirectional link between emergency response authorities and citizens that facilitates receiving early warning signals.
  • 10. Features of SMART-C  Multi-modal Data Ingestion  Full Disaster Lifecycle Alerts  Customization  Analytical Capabilities  Manual Override  Plug-n-Play Technology  Scalability  Reliability
  • 11. CHALLENGES Combining spatial computing and social media can present some unique challenges.  Privacy  Data Privacy  Context Privacy  Event Detection and Characterization  Integration and enrichment of multimodal data  Data quality and reliability  Validation and corroboration  Smart Devices and the Cloud
  • 17. REFRENCES  Adam, N.R., Shafiq, B. and Staffin, R., 2012. Spatial computing and social media in the context of disaster management. IEEE Intelligent Systems, 27(6), pp.90-96.  Adam, Nabil R., Basit Shafiq, and Robin Staffin. "Spatial computing and social media in the context of disaster management." IEEE Intelligent Systems 27, no. 6 (2012): 90-96.  Adam, Nabil R., Basit Shafiq, and Robin Staffin. "Spatial computing and social media in the context of disaster management." IEEE Intelligent Systems 27.6 (2012): 90-96.