---
title: Crowdsourcing Market Design
url: https://www.ml-quant.com/papers/ssrn/4451725/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4451725
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4451725
featured: 2023-06-01
citations: unknown
topic: Portfolio & Allocation
---


# Crowdsourcing Market Design

Crowdsourcing proposed for optimal allocations with imperfect observations.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4451725
- Identifier: SSRN 4451725
- Released: 2023-02-07
- First featured: Quant Letter No. 2 (2023-06-01): https://www.ml-quant.com/issues/2023-06-01/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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