Call for Participation: BioCreative conference seeks papers/presentations — May 5 deadline

By | Educational, Events, Paper/Presentation Solicitation

The BioCreative 2016 in Corvallis, Oregon, USA, on August 1-2, 2016 this year will run jointly with the Annual International Conference on Biological Ontology (ICBO), August 1-4, 2016, and both events will have shared sessions and invited speakers on August 2, 2016. The aim is to foster discussion, exchange, and innovation in research and development in the areas of text mining and Biomedical Ontology (including plants, agriculture, environment and biomes).

BioCreative 2016 solicits papers/presentations for the following topics/sessions:

  1. Text mining-facilitated models of curation, Lynette Hirschman and  Rezarta Islamaj Dogan, on application of text mining methods in areas such as crowdsourcing, database curation, publication process, and metagenomics.
  2. Text mining in precision medicine, Zhiyong Lu, Martin Krallinger and Fabio Rinaldi, on methods for annotations such as disease, phenotype, and adverse reactions in different text sources literature, clinical records and social media
  3. Domain portability or generalizability across medical literature, Donald Comeau and Kevin Bretonnel Cohen, on methods to achieve interoperability, generalizability and scalability in text mining: BioC, RDF and semantic web, among others
  4. Text mining and ontologies, Cecilia Arighi and ICBO, on application of ontologies in text mining, and text mining as ontology builder.


Important dates:

May 5, 2016:               2-page extended abstract submission deadline

May 25, 2016:             Author notification

July 1, 2016:               Camera-ready copies deadline

August 1-2, 2016:        BioCreative 2016

Travel awards:

Funds are available for US participants for the amount up to $700 to participate in BioCreative workshop 2016. To apply complete the application by May 5. Women, under-represented minorities, students, and post-doctoral fellows are encouraged to apply.

For more details, please check:

Slate Article: Reproducibility crisis is good for science

By | Al Hero, General Interest, News

Recently it has been shown that many published results in biology, epidemiology,  psychology have failed to reproduce when reanalyzed with new data. This article in Slate argues that the reproducibility crisis is actually good for science, creating an awareness of the need for careful experimental design and and statistical data analysis. MIDAS is committed to promoting reproducible research practices.

White papers due for MIDAS Challenge Initiatives June 30

By | General Interest, News

The second round of the Michigan Institute for Data Science (MIDAS) Challenge Initiatives is open, with the deadline for initial funding submissions on June 30.

MIDAS is seeking proposals in Data Science for Health Science (download RFP) and Social Science (download RFP).

Proposals will be funded at a level of approximately $1.25M each. A successful research proposal will involve a multi-disciplinary team engaged in research that will both have disruptive impact on a relevant thrust application and significantly advance the methodological foundations of data science. The ultimate intent of the MIDAS challenge initiatives is to stimulate research activities that can be leveraged into successful external funding proposals from government, private foundations, or industry.

For more information, visit the Challenge Initiative RFP page.

Software Carpentry workshop at U-M — May 2-3

By | Educational, Events

A Software Carpentry workshop will be held at the U-M Medical School May 2 and 3. These workshops are free and open to anyone on campus; the sessions are suitable for researchers in the humanities and social sciences. Register here.

This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

Who: The course is aimed at graduate students, postdocs, and other researchers across the University of Michigan. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Furstenberg 2710 (2nd floor of Med Sci II).