This Solicitation opportunity from Government of Canada was posted on September 20, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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REQUEST FOR INFORMATION (RFI) Estimating and Interpreting the Differences in Heterogeneous Treatment Effect: Enhancing Policy Decisions in Employment and Social Development Canada (ESDC) Labour Market Programs using Machine Learning

Closed

100027274International

Submission Closed09/20/2024, 02:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541720

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2 days ago

DEADLINE

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AI Contract Overview

Employment and Social Development Canada has issued a Request for Information under solicitation number 100027274 to identify documented causal machine learning methods implemented on real-world data. The primary objective is to find applicable techniques for the Evaluation Directorate to assess the incremental impact of labour market programs, specifically focusing on isolating differences in causal treatment effects between subgroup categories while eliminating confounding covariates. This federal solicitation seeks expertise to enhance policy decisions within the Government of Canada by leveraging machine learning for estimating and interpreting heterogeneous treatment effects. Interested parties can coordinate through the primary point of contact, Patrick Blais, regarding this Canada-wide initiative to improve the analytical capabilities of employment and social development programming.

General Info

ESDC seeks causal machine learning methods to assess labour market program impacts.

Agency

Government of Canada → Employment and Social Development Canada

NAICS

541720 - Research and Development in the Social Sciences and Humanities

Place of Performance

*Canada, CAN

Set-Aside

NONE

Documents

No documents available

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Timeline

PhaseClosed

PostedSep 20

Solicitation

Response DeadlineSep 20

Deadline has passed

Submission Closed

09/20/2024, 02:00:00 PM UTC

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Organization & Contact Information

AgencyGovernment of Canada → Employment and Social Development Canada

Contacts1 person available

OfficeN/A

Organization / Agency

Government of Canada → Employment and Social Development Canada

Office AddressN/A

Contacts

Patrick BlaisPoint of Contact

contact@example.gov

+1 (555) 000-0000

Full Description

The purpose of this RFI is to identify existing causal machine methods that have been implemented on real data and that have been documented, which could be applicable in the Evaluation Directorate’s context. These methods should be relevant to the assessment of incremental impact of labour market programs and should isolate differences in causal treatment effects between subgroups categories without being confounded by other covariates.