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The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output. Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.

This volume argues for reexamination of the field of community engagement, suggests that the most effective way forward requires rethinking the structures of traditional higher education, and points to the growing emergence of evidence-based best practices that can catalyze a renaissance in community engagement and in higher education.

Service learning has become an institutionalized practice in higher education. Students are sent out to disadvantaged communities to paint, tutor, feed, and help organize communities. But while the students gain from their experiences, the contributors to The Unheard Voices ask,'Does the community?'This volume explores the impact of service learning on a community, and considers the unequal relationship between the community and the academy. Using eye-opening interviews with community-organization staff members, The Unheard Voices challenges assumptions about the effectiveness of service learning. Chapters offer strong critiques of service learning practices from the lack of adequate training and supervision, to problems of communication and issues of diversity. The book's conclusion offers ways to improve service learning so that future endeavors can be better at meeting the needs of the communities and the students who work in them.