October 2, 2014
  • Question. Collaborate. Contribute.

DREAM Challenges pose fundamental questions about systems biology and translational medicine. Designed and run by a community of researchers from a variety of organizations, our challenges invite participants to propose solutions — fostering collaboration and building communities in the process. Expertise and institutional support are provided by Sage Bionetworks, along with the infrastructure to host challenges via their Synapse platform. Together, we share a vision allowing individuals and groups to collaborate openly so that the  “wisdom of the crowd” provides the greatest impact on science and human health.
Sage

FEATURED PUBLICATION

Eduati F, Mangravite LM, et al; Prediction of human population responses to toxic compounds by a collaborative competition; Nature Biotechnology (2015) doi:10.1038/nbt.3299  

FEATURED CONTENT

Learn more about what it is like participating in DREAM Challenges through our new video filmed at the 2014 DREAM conference in San Diego.  

CHALLENGE RESULTS

DREAM 9.5 Prostate Cancer DREAM Challenge

Final results available. »more

DREAM 9.5 -DREAM Olfaction Prediction Challenge

Final results available. »more  
August 27, 2015

Winners Announced for Crowdsourcing and Data Sharing Competition to Drive Innovation in Prostate Cancer Research

Industry leaders in biomedical research, oncology data sharing and computational science announced the winners of an innovative research challenge for prostate cancer using previously unavailable clinical data. The Prostate Cancer DREAM Challenge is the first research challenge in prostate cancer to marry crowdsourcing with data sharing, paving a new way to tackle key research questions about metastatic castration-resistant prostate cancer (mCRPC), an advanced form of the disease with poor outcomes. (Read more)

August 11, 2015

Life is but a DREAM

An international study published in Nature Biotechnology presents the combined results of a 2013 DREAM Challenge: a crowdsourcing initiative to test how well the effects of a toxic compound can be predicted in different people. The study, which is relevant to public and occupational health, shows that computational methods can be used to predict some toxic effects on populations, although they are not yet sensitive enough to predict such effects in individuals. It also presents algorithms useful for environmental risk assessment.(Read more)

August 11, 2015

DREAM challenge uses crowd sourcing to test the state of the art in systems biomedicine

An international study published in Nature Biotechnology presents the combined results of a 2013 DREAM Challenge: a crowd-sourcing initiative to test how well the effects of a toxic compound can be predicted in different people. The study, which is relevant to public and occupational health, shows that computational methods can be used to predict some toxic effects on populations, although they are not yet sensitive enough to predict such effects in individuals. It also presents algorithms useful for environmental risk assessment. (Read more)