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We present the results and conclusions from the citizen science competition`Observing Dark Worlds', where we asked participants to calculate the positionsof dark matter halos from 120 catalogues of simulated weak lensing galaxy data,using computational methods. In partnership with Kaggle(http://www.kaggle.com), 357 users participated in the competition which saw2278 downloads of the data and 3358 submissions. We found that the bestalgorithms improved on the benchmark code, LENSTOOL by > 30% and could measurethe positions of > 3x10^14MSun halos to less than 5'' and < 10^14MSun to within1'. In this paper, we present a brief overview of the winning algorithms withlinks to available code. We also discuss the implications of the experiment forfuture citizen science competitions.

Observing Dark Worlds: A crowdsourcing experiment for dark matter mapping