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Oct 14

Cooperative Agreement for Affiliated Partner with the Great Lakes-Northern Forest Cooperative Ecosystem Studies Unit (CESU)

Geological Survey

The U.S. Geological Survey (USGS) is offering a funding opportunity to a CESU partner for research in the development, evaluation, and synthesis of national-scale biogeographic information for fish and other aquatic organisms. This project supports research that improves how species distributions, habitat conditions, and conservation needs are mapped and analyzed across the United States. The project focuses on three technical areas: (1) advancing statistical and analytical methods that integrate multiple lines of evidence to improve species distribution models for freshwater organisms; (2) evaluating the accuracy, uncertainty, and environmental sensitivity of habitat models; and (3) using modern synthesis tools, including artificial intelligence, to assemble and maintain up-to-date information on species traits, conservation status, and habitat preferences. These activities will help resource managers make informed decisions about conserving aquatic species and freshwater ecosystems. The USGS intends to provide support for work that directly aligns with Department of the Interior (DOI) scientific and conservation priorities, including the development and application of actionable science for species management and cooperative conservation with local communities and Tribes. This opportunity supports DOI strategic objectives related to conserving land and water resources, improving ecological data and analysis, and strengthening shared stewardship across agencies and partners. The proposal objectives clearly supports, informs, and benefits the following: SO 3447 - Expanding Hunting and Fishing Access, Removing Unnecessary Barriers, and Ensuring Consistency Across the Depart of the Interior Lands and Waters (January 7, 2026) SO 3442 - Land and Water Conservation Fund Implementation by the U.S. Department of the Interior September 4, 2025), EO 14303 – Restoring Gold Standard Science (May 23, 2025) SO 3441 –Implementing the Requirements of Executive Order 14303, Restoring Gold Standard Science, May 23, 2025 (August 29, 2025) SO 3444 - Leading Interior's Path to Artificial Intelligence Transformation (September 17, 2025), and SO 3435 - Implementation of the Expanding Public Lands Outdoor Recreation Experiences Act June 25, 2025). This funding opportunity is appropriate for applicants with expertise in aquatic ecology, species distribution modeling, geospatial analysis, and ecological data synthesis. Prospective applicants should review the focus areas above to determine alignment of their capabilities with project needs and assess their interest in contributing to collaborative, nationally relevant biogeographic science.

eventDeadline: Nov 14 publicUnited States redeemFree
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Oct 14

Palliative Care Research Across the Lifespan: Leveraging the Palliative Care Consortium (R01 Clinical Trial Optional)

National Institutes of Health

The purpose of this Notice of Funding Opportunity (NOFO) is to invite R01 applications proposing research on palliative care across the lifespan for persons with serious illnesses and/or their care partners relevant to the missions of participating NIH Institutes, Centers, and Offices (ICOs), including projects focused on palliative care access, use, and quality. Applications may propose hypothesis-driven, milestone-defined palliative care traditional efficacy (Stage II), real-world efficacy (Stage III), effectiveness (Stage IV), and/or dissemination and implementation (Stage V) clinical trials in alignment with the NIH Stage Model (Stages II-V) and relevant Institute or Center policies. Applications may propose non-clinical trial palliative care research, such as health services research, methodologic research, natural experiments, or observational studies. Recipients will become members of the research community facilitated by the NIH-funded Advancing the Science of Palliative Care Across the Lifespan (ASCENT) Consortium. NOTE : This NOFO is not appropriate for applications proposing new intervention generation, refinement, modification, adaptation, and/or pilot testing (Stage I of the NIH Stage Model) clinical trial research. The intervention(s) to be tested must be in a developed and testable form, with Stage I activities already completed and demonstrated.

eventDeadline: Nov 05 publicUnited States redeemFree
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Oct 14

Cooperative Agreement for affiliated Partner with Northern Great Plains Cooperative Ecosystem Studies Unit

Geological Survey

Robust and reliable quantitative method to correct for solution chemistry interferences in molecularly imprinted polymer – electrochemical sensor (MIP-ES) measurements of complex environmental water matrices The goal of this research is to develop a robust and reliable quantitative method to correct for solution chemistry interferences in MIP-ES measurements of complex environmental water matrices. One of the challenges using MIP-ES to measure contaminants such as per- and polyfluoroalkyl substances (PFAS) in environmental samples is understanding how bulk solution chemistry contributes to the electrochemical background signal. The development of a ratiometric comparison approach with MIP-ES will involve bench scale proof of concept testing and then escalate to field deployed trials. Instrumentation required for MIP-ES fabrication and sensing includes multichannel potentiostats capable of differential pulse voltammetry and cyclic voltammetry. Differential pulse voltammetry will be used to collect current differences at 1-minute and 15-minute incubation time points in the sample matrices. These current values will be used to build the ratiometric comparison approach. The ratiometric approach will involve the comparison of normalized current difference ratios, outlined in Equation 1, between a matrix matched solution that contains all matrix constituents minus the analyte in question and an unknown solution that is composed of the sample matrix and may or may not contain the analyte. The use of a ratiometric comparison isolates current differences from the association of the analyte with the MIP-ES binding sites from any change in current from interferent effects due to the rest of the sample matrix constituents (i.e., humic acids, fulvic acids, ions, non-fluorinated counterparts, etc.). A ratio close to 1 indicates the absence of the analyte due to similar normalized current difference values in the ratio. A statistically different ratio from 1 indicates the presence of the analyte in question in the sample matrix. This project supports the administration's priority to protecting human health by generating data and tools that identify potential risks to drinking water quality. By enabling early detection and informed decision-making, this work helps safeguard communities from exposure to harmful contaminants and ensures access to safe, clean drinking water.

eventDeadline: Nov 14 publicUnited States redeemFree
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Oct 14

Cooperative Agreement for Affiliated Partner with the Pacific Northwest Cooperative Ecosystem Studies Unit (CESU)

Geological Survey

The U.S. Geological Survey (USGS) is offering a funding opportunity to a CESU partner for research in the study of chronic wasting disease (CWD) to support its prevention and management in the northeastern, and western United States. This project builds on several existing projects in direct collaboration with natural resource agencies where, in many locations, chronic wasting disease is not yet widespread and endemic. In order to better plan for the eventual spread into the region and its wide-ranging effects, this project would focus on strategic planning for CWD management as a long-term endeavor focused on repeated, linked management decisions that span two disease states (disease-free and disease-present) and recurring decisions on surveillance, regulatory actions (e.g., harvest policy, bans on harvested animal transport and carcass disposal), and targeted actions (e.g., hunter outreach, culling). The goal of thisproject is to support those long-term management efforts by developing decision support tools that estimate the arrival of CWD, the spread and growth of disease in new locations, and the opportunities that agencies have in preventing its effects. The USGS has developed a set of linked decision support tools that model metrics of interest (CWD prevalence, costs, active hunters) as functions of disease dynamics and alternative management strategies. While the decision support tools are currently being used to inform CWD management planning in some locations, there are opportunities to refine their structure, develop more reliable estimates for critical uncertainties, and distribute them widely to natural resource managers across regions. In particular, it is proposed to further develop model-based estimates of the rate of disease introduction into northeastern U.S. from multiple pathways, and then test the efficacy of surveillance and public communications strategies to enhance targeted actions such as carcass disposal, hunter-harvest, and culling to reduce the long-term impacts. In combination, these tasks will advance long-term, strategic CWD management in the northeastern U.S. prior to widespread impacts to the region. This project is designed to support and align with existing planning documents, executive orders, and congressional priorities. The CESU partner would help achieve governmental efficiency by developing risk-informed approaches to potential hazards (EO 14239 – Achieving Efficiency Through State and Local Preparedness (March 19, 2025), such as the spread of wildlife diseases that have already cost U.S. taxpayers millions of dollars (Chiavacci 2022). This funding opportunity also aligns with EO 14314 – Making America Beautiful Again by Improving Our National Parks (July 3, 2025) by considering the effect that diseases have on the recreational experience at National Parks, National Forests, and National Refuges and by examining management actions that keep animals healthy and abundant, promote hunting opportunities, and maintain economic viability of local communities that depend on our natural resources for their livelihoods. Finally, the CESU partner will develop science that supports EO 14303 - Restoring Gold Standard Science (May 23, 2025) by creating open access science (reproducibility), transparency and unbiased approach in collecting and analyzing data used to model future scenarios and communicating scientific data accurately.

eventDeadline: Nov 14 publicUnited States redeemFree
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