National Park Service- Creation of Predictive Model using GIS at Dinosaur National Monument — National Park Service funding opportunity
National Park Service · Federal agency

National Park Service- Creation of Predictive Model using GIS at Dinosaur National Monument

Creation of Predictive Model using GIS for Grazing Allotments and Archaeological Field School in Dinosaur National Monument. This cooperative agreement between Dinosaur National Monument (DNM) and Utah State University (...

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Award $50k Deadline Fixed Location Alabama Type grant Level Federal Open posted Aug 17, 2017
✦ AI Summary
  • Who can apply: Federal-level applicants (see eligibility for details).
  • Funding amount: up to $50,000 (total pool ~$50,000).
  • Issued by: National Park Service.
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How was this generated?

The “key facts” mode pulls structured fields directly from the official source posting (amount, deadline, eligibility tags). The AI mode adds a short plain-English narrative on top, generated from the same source. Always verify with the agency before applying.

AI-generated. Always verify with the official source.

Who can apply — at a glance

  • Eligible applicants: see the Eligibility tab for the criteria from the official announcement.
  • Where: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, District of Columbia.
  • Award: $50k. Total program pool: $50,000.
  • Matching funds: not required.
  • Deadline type: Fixed.

Compiled from the official listing's structured fields — always verify with the funder before applying.

About the funder

National Park Service is a federal-level funder.

See all 1721 open programs from this agency →

Award amount
$50k
Deadline
Fixed
Total pool
$50k

About this opportunity

Creation of Predictive Model using GIS for Grazing Allotments and Archaeological Field School in Dinosaur National Monument. This cooperative agreement between Dinosaur National Monument (DNM) and Utah State University (USU) will focus on creating a predictive model using Geographic Information System (GIS) to determine high probability locations for cultural resource sites located within grazing allotments in DNM. USU PI, Judson Finley, and DNM Chief of Resource Stewardship and Science (RSS), Lisa Baldwin, will consult with both the Utah and Colorado State Historic Preservation Offices (SHPOs) on a research design in order to provide consistency across state lines. The predictive model will be used to target areas for survey to be conducted during Archaeological Field Schools over the course of the next 5 years as funding becomes available. This project will provide an opportunity for student youth to be involved in cultural resource management in the National Park Service and provide basic training in techniques used by professional archaeologists. The skills that students will develop completing the scheduled tasks for this project will give them some of the necessary tools to pursue a career in a state or federal land management agency as a cultural resource specialist. Statement of work: A.Statement of work: This cooperative agreement between DNM and USU will focus on the creation of a predictive model to determine high priority locations that may contain cultural resources. Once the predictive model has been part of an Archaeological Field School, will conduct a Class III pedestrian survey in grazing allotments. Funding is currently available for fieldwork for summer 2018 and 2019. Additional fieldwork will be conducted under this agreement when funding is available. The objectives of the field school are threefold. First, we seek to educate promising new archaeological students, exposing them to the basic techniques of the discipline and instilling an understanding of Cultural Resource Management on public lands. Second, the field school will collect important information through survey and testing which will be used to further refine the GIS predictive model which will be used in future planning efforts. Last, the field school will provide important information which will be used to inform park visitors and other researchers about the cultural resources located within DNM. B.Project schedule and products: The project schedule will depend on an academic calendar. Final dates for the field school will be determined by the PI and DNM Chief RSS as the field school portion of the project approaches. Products: Shapefiles for GIS â¿¿ high, medium and low probability archaeological site locations; field forms for sites locational data; final report. C.Recipient agrees to: Task 1: Identify Suitable Students PI will identify suitable students for participation in the project and consult with the DNM Chief RSS on final selection. The PI, in connection with DNM Chief RSS will provide an orientation to DNM and an overview of the project itself including necessary training, supervision and review of work products. PI will provide supervision and instruction of field school students. Task 2: Conduct Archival Research Archival research will include DNMâ¿¿s archaeological site and curatorial files to obtain all site locations within DNM for use in GIS predictive modeling. PI will ensure protection of sensitive information from un-necessary distribution. Task 3: Creation of Predictive Modeling for Archaeological Sites within Grazing Allotments USU students will create a predictive model for determining probability of archeological sites within grazing allotments. PI will assist in the consultation with the Utah and Colorado SHPOs on the use of the predictive model and research design.

Funding agency

National Park Service
Federal agency

Tags

Agriculture & Farming Healthcare & Biotech Technology & Software Arts & Culture Education & Research Climate & Environment Transportation & Logistics Science, Tech & Engineering (STEM)
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Who can apply

Eligibility details aren't on file yet — check the agency source link in the Documents tab for the latest rules.

Geographic eligibility

  • Alabama
  • Alaska
  • Arizona
  • Arkansas
  • California
  • Colorado
  • Connecticut
  • Delaware
  • Florida
  • Georgia
  • Hawaii
  • Idaho
  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Maryland
  • Massachusetts
  • Michigan
  • Minnesota
  • Mississippi
  • Missouri
  • Montana
  • Nebraska
  • Nevada
  • New Hampshire
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • North Dakota
  • Ohio
  • Oklahoma
  • Oregon
  • Pennsylvania
  • Rhode Island
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • Utah
  • Vermont
  • Virginia
  • Washington
  • West Virginia
  • Wisconsin
  • Wyoming
  • District of Columbia

How to apply

We don't have application instructions on file yet — head straight to the official source.

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Source documents

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Canonical NOFO, application packet, and forms
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Citation details

Source systemgrants.gov
Source ID296569
PostedAug 17, 2017

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