Advancing computational biology and bioinformatics research through open innovation competitions

Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research in which the use of competitions has yielded significant performance gains over established algorithms.

Incentives for public goods inside organizations: Field experimental evidence

We run a field experiment at the Massachusetts General Hospital in Boston to see why people contribute ideas to improve their organization.

Paying positive to go negative: Advertisers׳ competition and media reports

This paper analyzes a two-sided market for news where two rival advertisers may pay a media outlet to conceal negative information about the quality of their own product (paying positive to avoid negative) and/or to disclose negative information about the quality of their competitor׳s product (paying positive to go negative). We show that competition in the product market does not necessarily prevent the emergence of commercial media bias.

Competition and commercial media bias

This paper reviews the empirical evidence on commercial media bias (i.e., advertisers influence over media accuracy) and then introduces a simple model to summarize the main elements of the theoretical literature. The analysis provides three main …