October 2, 2014
  • Building communities to advance science

Designed and run by a community of researchers from a variety of organizations, DREAM Challenges invite participants to propose solutions to fundamental biomedical questions — fostering collaboration and building communities in the process. Sage Bionetworks provides the expertise and 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.

If you have an idea for a DREAM challenge, please contact us here.

FEATURED PUBLICATION

Guinney J, Saez-Rodriguez J.; Alternative models for sharing confidential biomedical data.; Nat Biotechnol. 2018 May 9;36(5):391-392. doi: 10.1038/nbt.4128.  

FEATURED CONTENT

The participants in the Annual DREAM Conference in NYC in Nov helped us "crowdsource" our latest video. Thanks to all that allowed us to take your pictures or sent in pictures!  

DREAM Conference Info

RSG with DREAM Conference is its 12th year! This premier annual meeting for DREAM will be the culmination of three DREAM Challenges with presentations by their best performers. There will also be Keynotes and Open Papers presented. Please join us in NYC at MSK on Nov 4, 2019.
May 30, 2019

Idea Competition Winner Announced for the CTSA Program

The CD2H Idea Competition for the CTSA Program is pleased to announce the winner of the Idea Challenge Competition: University of Alabama, Birmingham “Automated Scoring of Radiographic Damage in Rheumatoid Arthritis” (PI S. Louis Bridges). This will be developed into an upcoming DREAM Challenge. (read more)

February 26, 2019

PrecisionFDA and NCI CPTAC Announce the Best Performers in Multi-omics Sample Mislabeling Big Data Challenge

PrecisionFDA and the National Cancer Institute’s (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) (in coordination with DREAM Challenges) are pleased to announce the Best Performers in the first-ever Crowdsourced Multi-omics Sample Mislabeling Big Data Challenge. This unique challenge utilized proteogenomic datasets generated by CPTAC and clinical annotation information. A total of 230 submissions from participants around the globe were received and evaluated. Subchallenge 1 focused on the development of next-gen computational models for detecting mislabeled samples using proteomic and clinical data generated by CPTAC, while Subchallenge 2 took a step further, aiming to identify and correct mismatched samples with one data type mislabeled among three data types (clinical, transcriptomic, and proteomic data). Visit us to learn more about this big data computational multi-omics challenge and its best performers and come here them their findings at  DREAM Challenges@RECOMB 2019. (learn more)

January 31, 2019

Announcing Agenda for DREAM Challenges@RECOMB 2019

Join us at this years DREAM Challenges@RECOMB workshop on May 4, 2019 in Washington, DC at George Washington University.  This years’ workshop has two main objectives. The first objective is to present the final results of two recent Challenges: the FDA/NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge and the ICGC-TCGA DREAM Somatic Mutation Calling – RNA Fusion Detection Challenge. The second objective is to foster an in-depth dialogue between various big-data initiatives being carried out by different agencies in the US Federal Government (such as NCI and NASA) and the scientific community, to explore the role that crowd-sourced Challenges can play in increasing the creative use of data in big-data projects. For this we have invited administrators and scientists leading big data projects to present talks focusing on what these initiatives are doing programmatically and scientifically. This will be followed by a panel discussing how each of these initiatives could benefit by crowd-sourcing their data through scientific challenges. After the panel we will break into groups and work on potential challenges of relevance to these programs. The day should provide an incentive for large-scale data initiatives to leverage crowdsourced challenges as a strategy for enhanced data use by the community and an overview on the process of challenge organization from inception to results. (Learn more)