Program
Answer:
The purpose of the PHLR program is to encourage more rigorous empirical research in public health law. That requires building up a field that is based on publication and scholarly interchange and additional mechanisms in scholarly interchange. At the same time, the evidence has to have a policy impact; therefore the law review article, the social science journal article or the medical journal article cannot be the end product. The results of the proposal must be tailored to different audiences that can use the findings in important ways. The project would need to be addressing something new; such as a new advance or a new application of the material to rigorous scientific research. Also, if it is purely doctrinal analysis, there is a heavy burden to show that it is illuminating in some important way how public health is affected by law. The applicant should tie the legal analysis to the analysis of the data and a logic model to highlight where the presence or absence of law, at least in terms of the existing knowledge, could be an important factor in public health.
Answer:
PHLR uses legal analysis to mean traditional techniques of legal research and interpretation of current legal materials such as laws, regulations and cases.
Answer:
No, although existing data can certainly speed up the process, it is not part of the program's selection criteria.
Answer:
>The goal of the PHLR program is to broaden the field of public health law. Public health law experience is not necessary as long as a strong proposal is submitted. There is no specified composition for a team, however, the applicant must demonstrate that the proposal is informed by one or more research disciplines and by public health practice or that it is relevant to public health practice.
Answer:
This question needs to be examined individually for each proposal. The work has to be a novel examination of how law has had an effect on population health. However, for each study, PHLR also wants to see that the correct methodology for data collection and data analysis are applied.
