Big data infrastructure is a solved problem. We know how to collect massive amounts of data (e.g., web scraping, social media, mobile phones), how to store it efficiently to enable queries at scale (e.g., Hadoop File System, Cassandra) and how to perform computation at scale with it (e.g., Hadoop, MapReduce). And yes, we can visualize it, too (e.g., New York Times visualizations). However, we a...

Parapsychological Review A} I have a serious concern that I would like to present to the physics community at large. It appears to me that there is a small but dedicated group of scientists—some with quite respectable reputations—who nevertheless dabble in things that most of us would not call science. (The terms "pseudoscience" and "pathological science" come to mind.) Occasionally attempts ar...

It is relevant to consider uncertainty in individual predictions when quantitative structure-activity (or property) relationships (QSARs) are used to support decisions of high societal concern. Successful communication of uncertainty in the integration of QSARs in chemical safety assessment under the EU Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) system can be f...

Mathematical models of learning have been created to capitalize on the regularities that are seen when individuals acquire new skills, which could be useful if implemented in learning management systems. One such mathematical model is the Predictive Performance Equation (PPE). It is the intent that PPE will be used to predict the performance of individuals to inform real-world education and tra...

Obtaining accurate structural alerts for the causes of chemical cancers is a problem of great scientiic and humanitarian value. This paper follows up on earlier research that demonstrated the use of Induc-tive Logic Programming (ILP) for predictions for the related problem of mutagenic activity amongst nitroaromatic molecules. Here we are concerned with predicting carcinogenic activity in roden...