Title from publisher's bibliographic system (viewed on 05 Jan 2018).

Machine generated contents note: Foreword; Preface: 1. Introduction and motivation Kaye Husbands Fealing, Julia Lane, John L. King and Stanley R. Johnson; 2. The current context Kaye Husbands Fealing, Lee-Ann Jaykus, and Laurian Unnevehr; 3. The conceptual and empirical framework Nathan Goldschlag, Julia Lane, Bruce Weinberg and Nikolas Zolas; 4. Identifying food safety related research Evgeny Klochikhin and Julia Lane; 5. The structure of research funding Reza Sattari, Julia Lane and Chia-Hsuan Yang; 6. The food safety research workforce and economic outcomes Matthew Ross, Akina Ikudo and Julia Lane; 7. New insights into food safety research teams Reza Sattari, Julia Lane and Jason Owen Smith; 8. Assessing the effects of food safety research on early career outcomes John L. King, Stanley R. Johnson, and Matthew Ross; 9. Describing patent activity Yeong Jae Kim, Evgeny Klochikhin and Kaye Husbands Fealing; 10. Describing scientific outcomes Evgeny Klochikhin and Kaye Husbands Fealing; 11. Conclusion Kaye Husbands Fealing, Stanley Johnson, John L. King, and Julia Lane; References; Index.

The scientific advances that underpin economic growth and human health would not be possible without research investments. Yet demonstrating the impact of research programs is a challenge, especially in areas that span disciplines, industrial sectors, and encompass both public and private sector activity. All areas of research are under pressure to demonstrate benefits from federal funding of research. This exciting and innovative study demonstrates new methods and tools to trace the impact of federal research funding on the structure of research, and the subsequent economic activities of funded researchers. The case study is food safety research, which is critical to avoiding outbreaks of disease. The authors make use of an extraordinary new data infrastructure and apply new techniques in text analysis. Focusing on the impact of US federal food safety research, this book develops vital data-intensive methodologies that have a real world application to many other scientific fields.