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Just out a new research article by the BDEM researcher team

A new research paper entitled “A Framework to Integrate Social Media and Authoritative Data for Disaster Relief Detection and Distribution Optimization“ has been published in the International Journal of Disaster Risk Reduction. In this paper, the BDEM researchers propose an interdisciplinary approach to (natural) disaster relief management. Our framework combines dynamic and static databases, which consist of social media and authoritative data of an afflicted region, respectively, to model rescue demand during a disaster situation. Using Global Particle Swarm Optimization and Mixed-Integer Linear Programming, we then determine the optimal amount and locations of temporal rescue centers. Furthermore, our disaster relief system identifies an efficient distribution of supplies between hospitals and rescue centers and rescue demand points. By leveraging the temporal dimension of the social media data, our framework manages to iteratively optimize the disaster relief distribution.

It is a joint work of Timothy Schempp (CICS, San Diego State University), Haoran Zhang (The University of Tokyo), Alexander Schmidt (Uni Hohenheim), Minsung Hong and Rajendra Akerkar (Vestlandsforsking).

Full article can be found at the journal website.

Geography colloquium series at SDSU

On 8th February, the BDEM coordinator Professor Rajendra Akerkar delivered a colloquium at the Department of Geography, San Diego State University, USA. The topic of this colloquium was “Managing Emergency Situations Using Big Data – A Perspective”. With the advent of Internet of things, social media, wearable devices, mobile phones, and planetary-scale sensing there is an ample opportunity to transform big geo-spatial data into actionable information. The talk focused on emergency management which is fundamentally a spatio-temporally distributed heterogeneous data assimilation problem for situation detection. Professor Akerkar illustrated examples from related projects in his research group and presented key challenges for managing big emergency data.

Photo credit: Tim Schempp

Photo credit: Tim Schempp

The colloquium attended by students, researchers and faculty members of the Department.

SDSU’s The Center for Information Convergence and Strategy (CICS) is one of the partners in BDEM project. The Center is active in diverse domains, such as disaster response, global security, threat reduction, business development, biomedicine, public health, and the digital humanities. It emphasizes data acquisition and analytics, social media solutions, strategic mapping, data mining, and systems integration and development. From visualization to machine learning and predictive analytics, CICS leverages information technology to evaluate current trends and develop strategies based on dynamically evolving content. 

The BDEM researchers at the ICT-DM2018 conference in Japan

Dr. Minsung Hong (Western Norway Research Institute) and Dr. Haoran Zhang (the University of Tokyo) participated in the 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM 2018) in Sendai, Japan, in 4-7 December, 2018 to disseminate results of the BDEM project. They have presented one paper and poster at the conference.

An Integrated Crowdsourced Framework for Disaster Relief Distribution

Timothy Schempp, Haoran Zhang, Minsung Hong, Alexander Schmidt and Rajendra Akerkar

This paper outlines our ongoing efforts at building an effective disaster relief system utilizing real-time, crowdsourced responses to disaster events. This system integrates three components: social media analysis, rescue demand prediction, and relief distribution optimization. We introduce the conceptual disaster relief system, database structure, and its integrated components. Finally, a summarization of the current research challenges we expect to address in the future is provided.

Dr. Haoran Zhang (the University of Tokyo) presenting a paper at the ICT-DM2018.

Dr. Haoran Zhang (the University of Tokyo) presenting a paper at the ICT-DM2018.

Role of Semantics in Analysing and Processing of Big Emergency Data

Minsung Hong and Rajendra Akerkar

This poster paper outlines an ongoing research that aims to incorporate semantically enabled Big Data processing for emergency response . The ultimate aim is to create an integrated platform to support prediction, early alerts, transmission and routing of the emergency data, aggregated analysis of multimodal data and coordination between emergency stakeholders (e.g. first responders, the authorities, volunteers). The modelling and computing challenges associated with such platform can be organised in terms of the 5 Vs of Big Data, which provides a means to organise our research efforts in addressing Big Data challenges using semantics.

The conference also provided the opportunity to discuss upcoming research themes in data-driven emergency management with the BDEM project members in Japan, in particular, Professor Ji (National Institute of Informatics, Japan) and with other prominent international researchers who attended the conference.

WNRI researcher's visit to the University of Tokyo

In order to discuss ongoing research cooperation and further research direction, Dr. Minsung Hong (researcher at the Western Norway Research Institute) had meeting with the BDEM partner research group in Tokyo on December 3rd, 2018. The research group at Intelligent Perception and Urban Computing Laboratory of the University of Tokyo is headed by Dr. Xuan Song.

Dr. Minsung Hong (WNRI) presenting research at Intelligent Perception and Urban Computing Laboratory, Japan.

Dr. Minsung Hong (WNRI) presenting research at Intelligent Perception and Urban Computing Laboratory, Japan.

In this meeting research students and postdocs at the University of Tokyo presented and shared their work. Moreover, Minsung presented the basic idea of a victim detection technology platform as well as preliminary results from joint research on a framework that efficiently integrates victim detection technologies considering sensing, communication and computing issues. The research aims to achieve a significant time reduction related to Victim Search and Rescue phase by providing wide-area situational awareness solutions for improved detection and localization of trapped victim.

They also discussed student-staff exchange visits to Norway.

Two collaboration meetings in Hong Kong and Japan

In order to discuss ongoing research activities and further research cooperation, the project coordinator had two extensive meetings with our partner research group in Hong Kong and Tokyo on November 19th and 22nd respectively. In these meeting research students and postdocs at the University of Tokyo and at the Hong Kong Polytechnic University presented their work. The coordinator, Prof. Akerkar presented the BDEM goals and scope to the students and encouraged them to participate in the mobility programme of the project. Further, group leaders Prof. Song Guo (HKPU) and Dr. Xuan Song (UTokyo) discussed synergies between research groups with Prof. Akerkar (WNRI). They also explored new opportunities for collaboration through Horizon 2020 calls.

Call for Papers: International Workshop on Advance Technologies for First Responders

International Workshop on Advance Technologies for First Responders will be organised at the 16th International Conference on INFORMATION SYSTEMS FOR CRISIS RESPONSE AND MANAGEMENT

Workshop date: May 19th, 2019

Venue: Valencia - Spain

SCOPE OF THE WORKSHOP

The Advance Technologies for First Responders (ATFR 2019) workshop aims at bringing together practitioners and researchers, both from emergency management and technical domains, to share ideas and experiences in designing and implementing novel tools, technologies, guidelines and methods aimed at facilitating first responders’ operations.

The workshop welcomes novel research work that deals with new technologies to improve the protection of first responders against multiple and unexpected danger or enhance their capacities addressing related research issues. We particularly invite submissions that try to go beyond the “simple” computational approaches and try to discover the “hidden” intelligent information, evaluate how “good” they are, and how they can be validated for accuracy and reality. Hence, the workshop aims to attract and discuss various novel aspects of systems communication solutions between first responders and victims, recommendation and mitigation, risk anticipation and early warning technologies, social influence and prediction from multimodal data, big data and the Internet of Things.

 

WORKSHOP TOPICS

Overall, we are interested in receiving original research contributions relating to the following topics which include but are not limited to:

  • Emerging mobile trends in first responder technology

  • Victim-detection tools and technologies

  • Multimodal data fusion, representation, and visualization

  • Multi-risk models

  • Virtual and augmented reality applications for emergency response

  • Situational awareness and risk mitigation systems for first responders using robots

  • Systems based on the Internet of Things

  • Spatial temporal modelling and data mining

  • Deep learning system for emergency response

  • MaaS (Mobility as a Service) platform

  • Human mobility modeling and prediction

  • AI for emergency management

  • Smart phone-based individual-centric emergency management

  • Geo-visual analytics for emergency response

 

The workshop will be a full day programme. For accepted papers, at least one author must attend the workshop to present the work.

We are currently exploring options where papers submitted to this track can potentially be published in a special issue to a reputable journal.

 

SUBMISSION

Submissions should be made electronically in PDF format via the electronic submission system of the ATFR 2019 Conference Management system at:


All submitted papers must:

  • be written in English;

  • contain author names, affiliations, and email addresses;

  • be formatted according to the ISCRAM Template;

  • be in PDF (make sure that the PDF can be viewed on any platform), and formatted for US Letter size;

  • each submission must be between 3000 to 7000 words, including the abstract, references, and appendices.

IMPORTANT DATES

Workshop paper submission deadline: February 10, 2019

Decision notification: March 10, 2019  

Workshop: May 19, 2019

WORKSHOP CO-CHAIRS

Rajendra Akerkar, Western Norway Research Institute, Norway

Andreas L Opdahl, University of Bergen, Norway

Xuan Song, The University of Tokyo, Japan

 

PROGRAMME COMMITTEE

Yusheng Ji, National Institute of Informatics, Japan

Song Guo, Hong Kong Polytechnic University, Hong Kong

André Skupin, San Diego State University, USA

Aron Culotta, Illinois Institute of Technology, USA

Hemant Purohit, George Mason University, USA

Min-Sung Hong, Western Norway Research Institute, Norway

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International workshop on “Advance Technologies for First Responders” at ISCRAM 2019 conference.

A full day International Workshop on Advance Technologies for First Responders will be organised at 16th International Conference on Information Systems for Crisis Response and Management will be held in Valencia (Spain).

The workshop aims at bringing together practitioners and researchers, both from emergency management and technical domains, to share ideas and experiences in designing and implementing novel tools, technologies, guidelines and methods aimed at facilitating first responders’ operations.

The workshop welcomes novel research work that deals with new technologies to improve the protection of first responders against multiple and unexpected danger or enhance their capacities addressing related research issues. We particularly invite submissions that try to go beyond the “simple” computational approaches and try to discover the “hidden” intelligent information, evaluate how “good” they are, and how they can be validated for accuracy and reality. Hence, the workshop aims to attract and discuss various novel aspects of systems communication solutions between first responders and victims, recommendation and mitigation, risk anticipation and early warning technologies, social influence and prediction from multimodal data, big data and the Internet of Things.

For more information:

Workshop on Big Data in Emergency Management (BDEM 2018)

Two-day Workshop on Big Data for Emergency Management (BDEM 2018) commenced from 22nd October 2018 at Veslandsforsking, Sogndal (Norway). In next two days the BDEM project researchers, practitioners and students discussed on emergency management analytics open issues and provide interesting insights for future actions in the hazard response. Main aim of the BDEM 2018 is to give answers to how to address challenges of current and future emergency management, and how analytics and intelligence can support an enhanced emergency management in the future. Both research and educational aspect were discussed by the workshop participants. The workshop was organised by the BDEM project.

Vestlandsforsking Director, Dr. Merete Lunde, inaugurated the workshop and expressed commitment to pursue effective research and education collaboration through the BDEM. The BDEM project coordinator, Prof. Rajendra Akerkar, described ongoing activities of the project and achievements in past one and half year. He further narrated the BDEM approach to share best practices and, to build and strengthen research - training cooperation among partners in big data and emergency management.

On 22nd October, Kåre Harald Drager (President, TIEMS) delivered first keynote address on Big Data potential for Emergency Management. He described various emergencies and it impact on society and importance of involving first responders in research and education.

In different sessions, four BDEM partners presented their ongoing research work. Professor André Skupin of CICS (San Diego State University) presented with overview of first comprehensive scientometric survey of Big Data and Emergency Management. Dr. Aron Culotta (Illinois Institute of Technology) delivered his motivating talk on Text Analysis. In the afternoon session, Dr. Hemant Purohit (George Mason University) delivered his splendid research talk on "Mining Big Social Data for EM Services". Finally, Vestandsforsking's Big data Research Group member, Dr. Minsung Hong gave an intriguing presentation on "Victim Detection Using Advance Technologies".

On October 23, chief of Emergency Services at the Bergen Municipality, Ivar Lunde, delivered second keynote address on Risk Management Using Case of the UCI Road World Championships were held in 2017 in Bergen, Norway.  He was the Project Manager for the host city of Bergen´s preparations for the UCI Road World Championships 2017 within Civil Protection and Emergency Preparedness. In the following sessions Dr. Vimala Nunavath of University of Bergen presented the BDEM course structure and course contents. Finally, Dr. Fan ZiPei of the University of Tokyo gave his research talk on Predicting Citywide human mobility during disaster situation.

The students attending BDEM course at University of Bergen also participated in the workshop. They enjoyed stimulating discussions with international partners on the subject and future research opportunities in the domain.

New UiB-course on Big Data with applications to Emergency Management

The University of Bergen (Norway) is preparing a new "BDEM Master's" course on Big Data for Emergency Management, which will run for the first time in the autumn on 2018. The course aims to provide the theoretical and technical foundations for managing and rapidly leveraging big data sets for emergency management. It covers general theories and technologies for big data, including sourcing, curation, processing, use, and evaluation, with particular focus on using big data for emergency management.