[agents] FYI: 1st International Workshop on “Data Science for Emergency Management”

[Álvaro Carrera Barroso]

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1st International Workshop on “Data Science for Emergency Management”
December 11-14, 2017 – Boston, MA, USA
Workshop website: http://dbdmg.polito.it/DSEM2017

Co-located with IEEE BigData 2017, December 11-14, 2017 – Boston, MA, USA

http://cci.drexel.edu/bigdata/bigdata2017
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*Workshop overview*



Society as a whole is increasingly exposed and vulnerable to natural
disasters because extreme weather events, exacerbated by climate change,
are becoming more frequent and longer. To address this global issue, novel
advanced data analytics solutions able to cope with heterogeneous big data
sources are needed. The huge amount of data generated by people and
automatic systems during natural hazard events (e.g., social network data
generated by citizens and first responders, satellite images of the
affected areas, flood maps generated by drones), is typically referred to
as Big Crisis Data. To transform this overload of heterogeneous information
into valuable knowledge, we need to integrate it and extract knowledge in
near-real time by means of novel data analytics solutions. Currently, the
analysis is focused on one single type of data (e.g., social media data, or
satellite images). Their integration into big data analytics systems
capable of building accurate predictive nowcast and forecast models will
provide effective support for emergency management.



The workshop aims at involving researchers, practitioners and environmental
and governmental bodies to foster discussion on emergency management
analytics open issues and provide interesting insights for future actions
in the natural hazard management area.



*Topics of interest*

Topics of interest include but are not limited to

-- Big Data Analytics for emergency management

-- Decision Support Systems for emergency management using big
Spatio-temporal data

-- Artificial Intelligence (Cognitive Computing) and Emergency management

-- Crowdsourcing, gamification, and social media data for natural hazard
prevention and management

-- Hazard Nowcast and Forecast models based on the integration of earth
observations, social media, and crowdsourcing

-- Climate Change Models and Risk Maps for supporting emergency management

-- Real-time Spatial Crisis Data acquisition and processing (satellite
images, flood maps, etc.)

-- Crisis Data collection by means of UAVs



*Important dates*

Sep 22, 2017: Due date for workshop papers submission

Nov 1, 2017: Notification of paper acceptance to authors

Nov 15, 2017: Camera-ready of accepted papers

Dec 11-14 2017: Workshops




*Paper submission*

Submissions should present original results and substantial new work not
currently under review or published elsewhere.



This workshop accepts:

-- Regular papers (up to 10 pages IEEE 2-column format)

-- Short papers (up to 4 pages IEEE 2-column format)



Research, application, and  industrial papers are accepted.



All the accepted papers will be included in the Workshop Proceedings of the
main conference published by the IEEE Computer Society Press, therefore
papers must comply with the IEEE Computer Society Proceedings Manuscript
Formatting Guidelines.



Please submit the PDF version of your paper through the online submission
system available at https://wi-lab.com/cyberchair/2017/bigdata17/scripts/ws_
submit.php

Select item 21: “Data Science for Emergency Management”

Formatting Instructions

Paper size: 8.5" x 11"



Formatting instructions available at

ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf



LaTex Formatting Macros available at

ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_
CS_Latex8.5x11x2.zip



DOC template available at

ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc



*Workshop Co-Chairs*

Elena Baralis - Politecnico di Torino, Italy

Paolo Garza - Politecnico di Torino, Italy

Laura Irina Rusu - IBM Research Australia
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