The main challenges in systems biomedicine are very complex, and can not be fully solved by a research group alone. Therefore, we are involved in DREAM challenges, a community effort to advance our understanding of fundamental problems in systems biology and translational medicine.
We ask important biomedical questions to the whole scientific community as a collaborative competition whereby, together with specific data providers, we provide the data necessary to build the computational models to address them. Anyone can participate, and DREAM provides an unbiased, rigorous assessment of a team’s solution. When the challenge is closed, participants’ solutions are analysed to learn what methods did well .
DREAM was founded in 2006 by Gustavo Stolovitzky ( IBM Research) and Andrea Califano (Columbia University). Julio is DREAM co-Director for Computational Systems Biology Challenges, and we have been involved in a number of challenges, ranging from infererence of signaling networks from phosphoproteomic data  to predicting the efficacy or side effects of drugs alone or in combination [3–5], to predict (phospho)proteomic data from genomic and transcriptomic data , to to how to map single cells to their location in a tissue. DREAM challenges can also be run on confidential data by using containerized systems to submit the models to the data, rather than releasing the data 
See below a video about a DREAM challenge  on toxicogenomics:
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