Graduate Student Research Consortium

The DILS 2015 Graduate Student Research Consortium will take place as part of the 11th International Conference on Data Integration in the Life Sciences 2015 (DILS 2015) in Los Angeles, CA, USA. This forum will provide students an opportunity to present their research ideas, on going R&D work and innovative projects in the Life Sciences domain. In the Consortium, the students will present their proposals and get specific feedback and advice on how to improve their research plan. The Consortium aims to broaden the perspectives and to improve the research and communication skills of these students. All proposals submitted to the Student Research Consortium will undergo a thorough reviewing process with a view to provide detailed and constructive feedback. The program committee will select the best submissions for presentation at the Consortium and they will be published in the conference proceedings. The Consortium is suitable for Masters students in medical informatics or related disciplines who are working on topics listed below. Early stage PhD students are also welcome to submit their proposals.

Submission Requirements

  1. Full time graduate students working on Life Sciences domain (see the topics of interest)
  2. Students who wish to be considered for the symposium need to submit
    1. A curriculum vitae
    2. A letter of recommendation from their faculty advisor
    3. Research proposals prepared using LNCS templates (up to 5 pages)
  3. All documents have to be submitted electronically via the EasyChair site
  4. All submissions must be single-author submissions. Please acknowledge your advisor(s) and other contributors in the Acknowledgements section

Proposal outline

The submitted proposal will be the basis for discussions at the Consortium. To get the most out of the discussion, it should include:

  1. Motivation for the proposed work (why)
  2. Background and related work (including key references)
  3. Description of proposed research, including main research questions and technical challenges (what)
  4. Approach to solve associated research and engineering challenges, experiments, preliminary results and outcomes (framework, system, algorithms, etc.) (how)
  5. Discussion about the work and plan for future work

Topics of interest

The Consortium has the same scope of technical topics as the main DILS conference

  1. Data integration systems for the life sciences
  2. Common data models, elements, and standards
  3. Ontology mappings and evolution
  4. Large-scale data analysis for the life sciences
  5. Architectures and data management techniques for the life sciences
  6. Query processing and optimization for biological data
  7. Biological data sharing and update propagation
  8. Query formulation assistance for scientists
  9. Modeling of life sciences data
  10. Schema-matching in life sciences datasets
  11. Privacy-preserving data integration and management
  12. Data owner sensitive data sharing
  13. Biomedical data integration issues in eScience
  14. Laboratory information management systems in biology (including workflow systems)
  15. Biomedical metadata management (including provenance)
  16. Text analytics over unstructured data
  17. Scientific results arising from innovative data integration solutions
  18. Exposing biomedical data for integration (APIs, Linked Open Data, SPARQL endpoints)
  19. Creation and use of clinical data repositories
  20. Data integration in clinical and translational research
  21. Integration of genotypic and phenotypic data
  22. Ethical, legal and social issues with biomedical data integration
  23. "Big Data" infrastructure applicability for life sciences
  24. Virtual appliances for shared data analysis

Upon acceptance

  1. Students accepted to present at the Student Research Consortium must plan to attend the Consortium for the whole day in order to gain as much value as possible from the Consortium.
  2. Students will get 15 minutes to present their proposal plus additional 5-10 minutes for discussion and questions/answers. Students also need to prepare a poster for their proposal.
  3. All the accepted proposals will be published in the conference proceedings.

Important Dates

  • Proposal Submission: March 15, 2015
  • Notifications: April 15, 2015
  • Camera-Ready Versions: May 15, 2015
  • Student Research Consortium: July 9, 2015
  • Conference: July 9-10, 2015


Ashutosh Jadhav, Chair, Wright State University

Big Data for Discovery Science