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BDCE 2014 : IEEE Workshop – Big Data in Computational Epidemiology


When Oct 27, 2014 - Oct 27, 2014
Where Washington DC
Submission Deadline Sep 12, 2014
Notification Due Sep 22, 2014
Final Version Due Oct 10, 2014
Categories    data mining   high performance computing   graph algorithms   epidemiology

Call For Papers

Seminars and Conferences
IEEE Workshop – Big Data in Computational Epidemiology

October 27, 2014

Computational epidemiology aims to understand the spread of diseases and efficient strategies to mitigate their outbreak. It studies dynamics in socio-technical systems, where disease spread co-evolves with public health interventions as well as individual behavior. It has evolved from ODE models to networked models which apply agent based modeling and simulation methodologies. Computation of such high resolution models involves processing data sets that are massive, disparate, heterogeneous, evolving (at an ever increasing rate), and potentially unstructured and of various quality.

The workshop brings together researchers from epidemiology, data science, computational science, and health IT domains to tap the potential of emerging technologies in data intensive computations and analytical processing to advance the state of art in computational epidemiology. The central theme of how to manage, integrate, analyze, and visualize vast array of datasets has wider applications in the bio- and physical- simulation and informatics based sciences such as immunology, high energy physics, and, medical informatics.

The workshop welcomes original research related to computational models and methodologies developed for handling big data and their application to epidemiology. Topics of interest include:

Collection and generation of large scale epidemiological datasets
Management, provenance, storage, and archival of surveillance, synthetic, and experiment data
Analytics of spatial, temporal, relational, and semi-structured data
Mining social media data and other online data for public health
Simulation driven statistical methods for knowledge discovery and forecasting
Cloud, streaming, and high performance data intensive science
Semantic web tools, informatics, inference, and integration of public health data
Privacy in the big data era
Agent mining, multi-agent systems, agent based modeling, and behavior modeling in epidemiology

The workshop is part of the 2014 IEEE International Conference on Big Data to be held in Washington DC on October 27, 2014.

Program co-chairs: Jiangzhuo Chen (, Sandeep Gupta (

Call for papers: Papers for the workshop ‘Big Data in Computational Epidemiology’ at IEEE BigData 2014 should be submitted through the IEEE BigData submission system (( Please refer to IEEE manuscript templates ( for submission guidelines.

Important dates:
Sept 12, 2014: Due date for full workshop papers submission
Sept 22, 2014: Notification of paper acceptance to authors
Oct 10, 2014: Camera-ready of accepted papers
October 27-30, 2014: Conference

Program committee:

Kaja Abbas, Virginia Tech
Feng Chen, University at Albany, State University of New York
Courtney D. Corley, Pacific Northwest National Laboratory
Xizhou Feng, Marquette University
Bryan Lewis, Virginia Tech
Sumiko Mekaru, Boston Children’s Hospital
Elaine Nsoesie, Boston Children’s Hospital
Shrideep Pallickara, Colorado State University
Naren Ramakrishnan, Virginia Tech

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