Big  Data  and  Analytics  for  Emergency  Management  and  Public  Safety  workshop  

http://researcher.watson.ibm.com/researcher/view_group.php?id=7160    

Hosted  by:  2016  IEEE  International  Conference  on  Big  Data  (IEEE  Big  Data  2016)  

http://cci.drexel.edu/bigdata/bigdata2016/  

December  5-­‐8,  2016,  Washington  DC,  USA      Natural   disasters,   such   as  wildfires,   floods,   storms,   heat  waves,  earthquakes,  landslides  and  many   others   have   occurred   in  ever-­‐increasing  numbers   in  recent  years.    Moreover,   the   World   Bank  estimates   that   economic  developments,   population   growth  and   rapid   urbanisation   will   drive  an   increase   in  disaster   losses  over  coming  years1.    Traditionally,   public   discourse   on   emergency   management   and   response   has  considered   such   natural   disasters   as   the   primary   focus,   but   recent   years   have  shown  that  fast  spreading  human  diseases  (e.g.  Ebola),  pests  or  animal  diseases  (e.g.  Hendra  virus),  telecommunication  systems  failures,  and  acts  of  violence  and  terrorism   have   far   reaching   consequences   requiring   a   similar   framework   of  emergency   response.  As  with  natural   disasters,   such  health,   infrastructure   and  security  incidents  can  critically  impact  communities  and  jeopardise  public  safety.    With   a   current   focus   on  moving   from   reacting   to   these   events   as   they   happen  towards   preventing   and  minimising   them,   big   data   and   analytics   play   a   critical  role  in  societal  ability  to  plan,  prepare  and  recover  from  emergency  events.    This  workshop  will  be  the  first  at  IEEE  Big  Data  conference  to  address  a  number  of   acute   questions   in   Emergency  Management   and   Public   Safety,   which   are   of  interest  and  applicable  to  a  worldwide  audience,  for  example:  

§ How   can   we   make   use   of   massive   amounts   of   data   (weather,  demographics,   urbanism,   climate,   natural   resources   etc.)   to   predict   the  risk  and  the  possible  impact  of  disasters?  

§ How  can  we  make  use  of  big  open  data  to  better  predict  disease  outbreaks  and   their   impact  on   communities   (health),   governments   (spending)   and  economies  (losses)?  

§ What  can  we  learn  by  analysing  big  data  contributing  to  past  emergency  events,   to   learn   and   use   that   knowledge   intelligently   to   build   up  community  resilience  to  such  events?  

                                                                                                               1  http://www.worldbank.org/en/topic/disasterriskmanagement/overview  

Workshop  on  Big  Data  and  Analytics  for  Emergency  Management  and  Public  Safety  

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 Research  topics:  

Note:   the   topics   proposed   below   have   a   focus   on   big   data   for   emergency  management   and   public   safety,   for   example   weather,   social   networks   data,  climate,   diseases,   demographics,   however   the   list   is   not   exhaustive   and  submissions  on  related  topics  are  welcome.  

o Real  time  analytics  for  heterogeneous  spatiotemporal  big  data  streams  o Unsupervised  machine  learning  for  big  data  o Scalable  predictive  analytics  workflows  for  big  data  o Extracting  and  visualising  critical  insights  from  big  data  o Uncertainty  propagation  in  connected  big  data  models  

 Contributions   are   invited   from   prospective   authors   with   interests   in   the  indicated  session  topics  and  related  areas  of  application.    All  contributions  should  be  high  quality,  original  and  not  published  elsewhere  or  submitted  for  publication  during  the  review  period.    Three  members  of  the  Program  Committee  will  review  submitted  contributions.    

Important  dates:  o Oct  10,  2016:  Due  date  for  full  workshop  papers  submission  o Nov  1,  2016:  Notification  of  paper  acceptance  to  authors  o Nov  15,  2016:  Camera-­‐ready  of  accepted  papers  o Dec   5-­‐8,   2016:   All   workshops   (the   exact   date   of   this   workshop   will   be  

announced  on  the  website)    

Submissions:  All  papers  accepted  for  workshop  will  be  included  in  the  Workshop  Proceedings  published   by   the   IEEE   Computer   Society   Press;   therefore   papers   should   be  formatted   to   10   pages   IEEE   Computer   Society   Proceedings   Manuscript  Formatting  Guidelines.    Formatting  Instructions  DOC:  ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc  PDF:  ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf  LaTex:  ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.zip    Although  we  accept  submissions  in  the  form  of  PDF,  PS,  and  DOC/RTF  files,  you  are  strongly  encouraged  to  generate  a  PDF  version  for  your  paper  submission  if  your  paper  was  prepared  in  Word.    Submission  link    Submission  link  is  available  on  the  workshop’s  website.      

Journal  Special  Issues:  Based  on  the  topic  relevance,  selected  papers  will  be  published  in  a  Special  Issue  of  the  International  Journal  of  Risk  and  Contingency  Management,  and  one  Special  Issue  of  the  International  Journal  of  Data  Warehousing  and  Mining,  in  2017.  More  information  will  be  provided  shortly  on  the  workshop’s  website.      

Workshop  on  Big  Data  and  Analytics  for  Emergency  Management  and  Public  Safety  

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 Program  Co-­‐Chairs:  

o Dr  Laura  Irina  Rusu,  IBM  Research  Australia  o Gandhi  Sivakumar,  Watson  CoC,  Master  Inventor,  IBM  Australia  

     Program  Committee  Members:  

o Prof   Wenny   Rahayu,   Head   of   School   Engineering   and   Mathematical  Sciences,  La  Trobe  University,  Melbourne,  Australia  

o Prof  Matt  Duckham,  Deputy  Head  (Geospatial  Sciences),  RMIT  University,  Melbourne,  Australia  

o Dr  Michael  Rumsewicz,  Research  Manager,  Bushfire  and  Natural  Hazards  CRC,  Australia  

o Dr  Anna  Phan,  IBM  Research,  Melbourne,  Australia  o Dr  Melanie  Roberts,  IBM  Research,  Melbourne,  Australia  o Dr  Mahsa  Salehi,  IBM  Research,  Melbourne,  Australia  o Dr  Peter  Zhong,  Resilient   Information  Systems  for  Emergency  Response,  

Australia  o Dr  Ziyuan  Wang,  IBM  Research,  Melbourne,  Australia  o Dr  Kenneth  David  Strang,  State  University  of  New  York,  USA