Notice Information
Notice Title
Supply of Feasibility Report into use of 'Dockers' in relation to BEIS Models
Notice Description
The aim of this work is to investigate whether it is possible to take BEIS's existing suite of energy and emissions models and apply advanced data science methods (known as "Dockers") to link the models together. BEIS models use different languages/methods. The aim of this work is to apply the Docker technique to the models, produce the results and provide a short report explaining the approach.
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-b5fd17-32bcb8ff-6a42-4803-9c47-f253e72367bb
- Publication Source
- Contracts Finder
- Latest Notice
- https://www.contractsfinder.service.gov.uk/Notice/49b05603-21a5-409b-bd35-a0739d2dc0cd
- Current Stage
- Award
- All Stages
- Award
Procurement Classification
- Notice Type
- Award Notice
- Procurement Type
- Standard
- Procurement Category
- Services
- Procurement Method
- Direct
- Procurement Method Details
- Single tender action (below threshold)
- Tender Suitability
- SME, VCSE
- Awardee Scale
- Large
Common Procurement Vocabulary (CPV)
- CPV Divisions
72 - IT services: consulting, software development, Internet and support
-
- CPV Codes
72200000 - Software programming and consultancy services
Notice Value(s)
- Tender Value
- £16,343 Under £100K
- Lots Value
- Not specified
- Awards Value
- £16,343 Under £100K
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 17 Mar 20223 years ago
- Submission Deadline
- 28 Feb 2022Expired
- Future Notice Date
- Not specified
- Award Date
- 4 Mar 20223 years ago
- Contract Period
- 16 Mar 2022 - 31 Mar 2022 30 days
- Recurrence
- Not specified
Notice Status
- Tender Status
- Complete
- Lots Status
- Not Specified
- Awards Status
- Active
- Contracts Status
- Not Specified
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY
- Contact Name
- Available with D3 Tenders Premium →
- Contact Email
- Available with D3 Tenders Premium →
- Contact Phone
- Available with D3 Tenders Premium →
Buyer Location
- Locality
- LONDON
- Postcode
- SW1 0ET
- Post Town
- Not specified
- Country
- Not specified
-
- Major Region (ITL 1)
- Not specified
- Basic Region (ITL 2)
- Not specified
- Small Region (ITL 3)
- Not specified
- Delivery Location
- TLI London
-
- Local Authority
- Not specified
- Electoral Ward
- Not specified
- Westminster Constituency
- Not specified
Further Information
Notice Documents
-
https://www.contractsfinder.service.gov.uk/Notice/49b05603-21a5-409b-bd35-a0739d2dc0cd
17th March 2022 - Awarded contract notice on Contracts Finder
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.
{
"tag": [
"compiled"
],
"id": "ocds-b5fd17-32bcb8ff-6a42-4803-9c47-f253e72367bb-2022-03-17T16:22:54Z",
"date": "2022-03-17T16:22:54Z",
"ocid": "ocds-b5fd17-32bcb8ff-6a42-4803-9c47-f253e72367bb",
"language": "en",
"initiationType": "tender",
"tender": {
"id": "tender_300791/1052867",
"title": "Supply of Feasibility Report into use of 'Dockers' in relation to BEIS Models",
"description": "The aim of this work is to investigate whether it is possible to take BEIS's existing suite of energy and emissions models and apply advanced data science methods (known as \"Dockers\") to link the models together. BEIS models use different languages/methods. The aim of this work is to apply the Docker technique to the models, produce the results and provide a short report explaining the approach.",
"status": "complete",
"classification": {
"scheme": "CPV",
"id": "72200000",
"description": "Software programming and consultancy services"
},
"items": [
{
"id": "1",
"deliveryAddresses": [
{
"region": "London",
"countryName": "United Kingdom"
}
]
}
],
"value": {
"amount": 16343,
"currency": "GBP"
},
"procurementMethod": "direct",
"procurementMethodDetails": "Single tender action (below threshold)",
"tenderPeriod": {
"endDate": "2022-02-28T17:00:00Z"
},
"contractPeriod": {
"startDate": "2022-03-16T00:00:00Z",
"endDate": "2022-03-31T23:59:59+01:00"
},
"suitability": {
"sme": true,
"vcse": true
},
"mainProcurementCategory": "services"
},
"parties": [
{
"id": "GB-CFS-201246",
"name": "Department for Business, Energy & Industrial Strategy",
"identifier": {
"legalName": "Department for Business, Energy & Industrial Strategy"
},
"address": {
"streetAddress": "1 Victoria Street",
"locality": "London",
"postalCode": "SW1 0ET",
"countryName": "England"
},
"contactPoint": {
"name": "Felix Wisby",
"email": "Felix.Wisby@beis.gov.uk"
},
"roles": [
"buyer"
]
},
{
"id": "GB-CFS-201247",
"name": "UK Research and Innovation",
"identifier": {
"legalName": "UK Research and Innovation"
},
"address": {
"streetAddress": "Polaris House, Swindon, SN21FL"
},
"details": {
"scale": "large",
"vcse": false
},
"roles": [
"supplier"
]
}
],
"buyer": {
"id": "GB-CFS-201246",
"name": "Department for Business, Energy & Industrial Strategy"
},
"awards": [
{
"id": "ocds-b5fd17-32bcb8ff-6a42-4803-9c47-f253e72367bb-1",
"status": "active",
"date": "2022-03-04T00:00:00Z",
"datePublished": "2022-03-17T16:22:54Z",
"value": {
"amount": 16343,
"currency": "GBP"
},
"suppliers": [
{
"id": "GB-CFS-201247",
"name": "UK Research and Innovation"
}
],
"contractPeriod": {
"startDate": "2022-03-16T00:00:00Z",
"endDate": "2022-03-31T23:59:59+01:00"
},
"documents": [
{
"id": "1",
"documentType": "awardNotice",
"description": "Awarded contract notice on Contracts Finder",
"url": "https://www.contractsfinder.service.gov.uk/Notice/49b05603-21a5-409b-bd35-a0739d2dc0cd",
"datePublished": "2022-03-17T16:22:54Z",
"format": "text/html",
"language": "en"
},
{
"id": "2",
"description": "n/a",
"url": "https://www.contractsfinder.service.gov.uk/Notice/Attachment/903ea333-2542-4cdf-bcb1-2e26a46eda26",
"format": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
}
]
}
]
}