Award

A stochastic collision risk model for seabirds in flight

SCOTTISH GOVERNMENT

This public procurement record has 1 release in its history.

Summary of the contracting process

The procurement process involves the Scottish Government, which has awarded a contract for the research project titled "A stochastic collision risk model for seabirds in flight." This initiative falls under the services category, specifically relating to environmental research, and is located in Livingston, UK. The procurement method employed was an open procedure, and the contract was signed on 8 June 2017, with a total value of £32,990. Notably, four bids were received for this tender, indicating a competitive environment.

This tender presents significant opportunities for businesses operating in the environmental research and consultancy sectors, particularly those with expertise in ecological modelling and data analysis. Companies with experience in stochastic modelling or those capable of delivering innovative solutions for wildlife conservation will be well-suited to compete in similar future tenders. Engaging with public contracts like this can help businesses expand their portfolios and strengthen their reputations in sustainability-focused projects.

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Notice Title

A stochastic collision risk model for seabirds in flight

Notice Description

The proposed research will attempt to develop a stochastic version of the Band model in R, building on the work undertaken to date, that would incorporate the gaps identified by industry and statutory agencies, providing a robust and transparent method of accounting for uncertainty in the estimation of seabird collision rates that can be easily applied to real-world situations.

Lot Information

Lot 1

The proposed research will attempt to develop a stochastic version of the Band model in R, building on the work undertaken to date, that would incorporate the gaps identified by industry and statutory agencies, providing a robust and transparent method of accounting for uncertainty in the estimation of seabird collision rates that can be easily applied to real-world situations.

Publication & Lifecycle

Open Contracting ID
ocds-r6ebe6-0000482041
Publication Source
Public Contracts Scotland
Latest Notice
https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=FEB308918
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
PCS Notice - Website Contract Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73112000 - Marine research services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
£32,990 Under £100K

Notice Dates

Publication Date
6 Feb 20188 years ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
8 Jun 20178 years ago
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Complete
Awards Status
Not Specified
Contracts Status
Active

Contracting Authority (Buyer)

Main Buyer
SCOTTISH GOVERNMENT
Contact Name
Colette Templeton
Contact Email
buildingstandards@gov.scot
Contact Phone
+44 1312446537

Buyer Location

Locality
LIVINGSTON
Postcode
EH54 6GA
Post Town
Edinburgh
Country
Scotland

Major Region (ITL 1)
TLM Scotland
Basic Region (ITL 2)
TLM1 East Central Scotland
Small Region (ITL 3)
TLM14 West Lothian
Delivery Location
TLM Scotland

Local Authority
West Lothian
Electoral Ward
Livingston South
Westminster Constituency
Livingston

Supplier Information

Number of Suppliers
1
Supplier Name

HIDEF SURVEYING

Further Information

Notice Documents

  • https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=FEB308918
    A stochastic collision risk model for seabirds in flight - The proposed research will attempt to develop a stochastic version of the Band model in R, building on the work undertaken to date, that would incorporate the gaps identified by industry and statutory agencies, providing a robust and transparent method of accounting for uncertainty in the estimation of seabird collision rates that can be easily applied to real-world situations.

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