Artificial intelligence (AI) has contributed substantially to the resolution of a variety of
biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI …

Knowledge of protein structure is paramount to the understanding of biological function,
developing new therapeutics, and making detailed mechanistic hypotheses. Therefore …

Résumé Since the late twentieth century,“citizen science” has become an increasingly
fashionable label for a growing number of participatory research activities. This paper …

While the primary bottleneck to a number of computational workflows was not so long ago
limited by processing power, the rise of machine learning technologies has resulted in an …

Data quality control is important for any data collection program, especially in citizen science
projects, where it is more likely that errors occur due to the human factor. Ideally, data quality …

Global neuroscience projects are producing big data at an unprecedented rate that
informatic and artificial intelligence (AI) analytics simply cannot handle. Online games, like …

Scientific visualizations (illustrations, three-dimensional models, animations, simulations,
etc.) play an essential role in biology education, particularly when it comes to …

Serious scientific games are games whose purpose is not just fun. In the field of science, the
serious goals include crucial activities for scientists: outreach, teaching and research. The …

Over the past decade, scientific discovery games (SDGs) have emerged as a viable
approach for biomedical research, engaging hundreds of thousands of volunteer players …

The emerging fields of citizen science and gamification reformulate scientific problems as
games or puzzles to be solved. Through engaging the wider non-scientific community …