- Country: Canada
- Summary: For Expert Advice on the Implementation of the Machine Learning Causal…
- CAT Ref No: 111782877
- Deadline: 30 Dec 2024
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: 10027867
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- Description:
- This requirement is for Expert advice on the implementation of the machine learning causal forest algorithms for Employment and Social Development Canada.
Description of the Requirement:
The Evaluation Directorate at Employment and Social Development Canada (ESDC) requires the services of a contractor to:
•Provide expert advice to develop and implement machine learning causal forest algorithms to estimate individualized average treatment effects, while assessing and interpreting heterogeneous treatment effects across various subgroup categories to enhance the analysis of ESDC Skills and Labour Market Program Evaluations.
•Address challenges and issues related to the implementation process, including the interpretation and the validations of the robustness of the results obtained from machine learning causal forest with those of traditional methods such as propensity score matching.
Security Requirements:
There are no security requirements associated with this solicitation.
Applicable Trade Agreements:
Further to Article 800 of the Canadian Free Trade Agreement (CFTA), CFTA does not apply to this procurement.
Proposed period of contract:
The period of the Contract is from date of Contract to March 31, 2025 inclusive. - Documents:
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CLICK HERE TO LOGINFor Expert Advice on the Implementation of the Machine Learning Causal… - Canada Tender
The EMPLOYMENT AND SOCIAL DEVELOPMENT CANADA, a Government sector organization in Canada, has announced a new tender for For Expert Advice on the Implementation of the Machine Learning Causal…. This tender is published on CanadaTenders under CAT Ref No: 111782877 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2024-12-30.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
