Algorithmic crowdsourcing gives the crowdsourcer ways to allocate tasks to the crowd and efficiently and accurately gather answers and results from the crowd. This is helpful because crowdsourcing microtasks can eventually lead to overwhelming the crowdsourcer's resources if not done efficiently.

Advantages of Algorithmic Crowdsouring: Efficiently and Accurately Gathering Responses

It maximizes the accuracy of the data generated by the crowd while efficiently managing the costs of employing the crowd.

Advantages of Algorithmic Crowdsourcing: Maximizing Accuracy

1. Efficiently and accurately gathering responses
2. Maximizes accuracy

University of Rochester

Algorithmic crowdsourcing concentrates on computational approaches to solving the problems caused by introducing crowdworkers.

Algorithmic Crowdsourcing

Hotaling, A., &amp; Bagrow, J. P. (2020). Efficient crowdsourcing of crowd-generated microtasks. PLOS ONE, 15(12). https://doi.org/10.1371/journal.pone.0244245 

Efficient crowdsourcing of crowd-generated microtasks

Cost forecasting is a technique that allows the crowdsourcer to decide between having the crowd generate more tasks or letting the crowd complete some of the already-generated tasks to more efficiently balance resources in a situation where crowdworkers are both proposing new tasks and completing them.

(Proposed in the paper Efficient crowdsouring of crowd-generated microtasks.)

Cost Forecasting

A bursty process is characterized by long pauses of nonactivity interrupted by sudden bursts of activity. Bursty processes tend to follow power-law distributions.

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