OpportunityTitle: Cancer Intervention and Surveillance Modeling Network (CISNET) (U01)
AdditionalInformationOnEligibility: Other Eligible Applicants include the following:  Eligible Agencies of the Federal Government; Non-domestic (non-U.S.) Entities (Foreign Organizations); U.S. Territory or Possession; Units of Local Governments
Description: Purpose. Through this funding opportunity announcement (FOA), the National Cancer Institute (NCI) solicits applications for the Cancer Intervention and Surveillance Modeling Network (CISNET). The goal of CISNET is to use simulation and other modeling techniques (a) to understand the impact of cancer control interventions (i.e., screening, treatment, prevention) on national trends in cancer rates, and (b) to inform national/regional/local decisions on the most efficient utilization of existing and emerging technologies and strategies for the control of cancer. This FOA expands CISNET efforts focused on four cancer sites (prostate, lung, colorectal, breast) and will also cover two additional sites (cervical and esophageal cancer). Expansion into new areas of modeling (identified in the FOA) is also encouraged. This FOA will support collaborative, interactive projects involving groups of researchers that would put forward a program of comparative modeling, as well as to allow coverage across the important cancer control issues and relevant specific focus areas for the selected organ site. Investigators may propose the application, extension, and/or merging of existing models. However, de novo model development will NOT be supported. Because of the requirement of conducting cross-model comparisons (i.e. comparative modeling) and coverage of a broad range of cancer control issues, it is expected that each award will support between approximately 2 and 5 modeling groups working together. This FOA is an open competition for all qualified investigators, irrespective of their previous involvement in the CISNET program. Mechanism of Support. This FOA will utilize the NIH U01 cooperative agreement mechanism.
GrantorContactEmailDescription: If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster
GrantorContactText: NIH OER Webmaster&lt;br/&gt;FBOWebmaster@OD.NIH.GOV&lt;br/&gt;