My favorite part of these challenges is actually after the competition closes. All participants get together and work collaboratively on a manuscript summarizing key insights and where the field stands. Join us! www.synapse.org/Synapse:syn6...

Building on last year's Mixture Discriminability Challenge, we're offering a dataset of 650+ blends, each assessed by trained panelists using a 51-word scent lexicon.

Most existing models predict odor perception at just one concentration. Yet, some odorants dramatically shift in quality as concentration changes—such as grapefruit mercaptan, pleasantly fruity at low concentrations but distinctly sulfurous at high levels.

This year, we have two challenges: 1) Predicting how odor quality changes with concentration, and 2) Describing an olfactory mixture. You can make up to three leaderboard submissions until July 21st, with one final submission allowed before August 8th.

Last year, we ran the second DREAM Olfaction Prediction Challenge www.synapse.org/Synapse:syn5... . This time focusing on predicting the similarity of mixture pairs.

Ten years ago the first DREAM Olfaction Prediction Challenge launched to predict the smell of a molecule from its structure. This led to a publication establishing benchmarks doi.org/10.1126/scie... , and then a subsequent surge in predictive modeling.

Hi Monica,
Could you please add me to the feed? I am an olfactory neuroscientist.
Here is my staff page: monell.org/joel-mainland/ and Scholar profile scholar.google.com/citations?us... Thank you!