October 2, 2014
  • Dream Challenges pose fundamental questions about systems biology and translational science

  • Allen Institute Cell Lineage Reconstruction DREAM Challenge

    Allen Institute Cell Lineage Reconstruction DREAM Challenge

    Registration Opens: September, 2019
    Launch: Mid-October, 2019
    Final Submissions: January, 2020
    Winners Announced: March, 2020

    CRISPR-based molecular tools allow the reconstruction of cell lineages based on the phylogenetic analysis of DNA mutations induced by CRISPR during development. The challenge - a partnership between The Allen Institute and DREAM - will comprise 3 subchallenges focused on reconstructing cell lineage trees of different sizes and nature. Through the usage for training purposes of experimental and in silico generated data sets, the goal of this challenge is to mobilize a larger community for evaluating new optimal tree-building methods.

  • The EHR DREAM Challenge

    The EHR DREAM Challenge

    Registration OPEN
    Launch October 9, 2019
    Final submissions January 9, 2020
    Results announced February 9, 2020

    The goals of the EHR DREAM Challenge are to prospectively predict patient health outcomes in order to 1) lower the barriers to piloting innovative machine learning and data science methods in healthcare, 2) establish clinically relevant prediction benchmarks and evaluation metrics, and 3) minimize the distance between model developers and the clinic to reduce the time for model implementation.


  • Single Cell Signaling in Breast Cancer

    Single Cell Signaling in Breast Cancer

    Launch: August 2, 2019 (now open)
    Webinar: August 20, 2019

    This challenges uses genomic, transcriptomic, and proteomic measurements to evaluate signaling responses of 67 well-characterized breast cell lines to drug treatment at the single-cell level to better understand single-cell signaling and signaling modeling.

  • Tumor Deconvolution DREAM Challenge

    Tumor Deconvolution DREAM Challenge

    Launch:  June 3, 2019 (Challenge Now Open!)
    Webinar: June 5, 2019

    The goal of this Challenge is to evaluate the ability of computational methods to deconvolve bulk expression data, reflecting a mixture of cell types, into individual immune components.

  • Preterm Birth Prediction: Transciptomics DREAM Challenge

    Preterm Birth Prediction: Transciptomics DREAM Challenge

    Sub-challenge 1: May 4-Aug 15, 2019
    Top performers announced:  September 13, 2019
    Sub-challenge 2: Aug 15, 2019 - Dec 5, 2019 (Register now)
    Top performers announced:  January 3, 2020

    Using whole blood gene expression data collected from pregnant women, participants will develop models to predict gestational age at blood draw and risk of preterm birth.


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.


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.  


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)