Case-prioritization system for human review using public procurement
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RODRIGO MARTÍNEZ
Apr 6, 2026, 4:35:24 PMApr 6
to Open Contracting Data Standard - Discussion Group
Hi everyone,
I’m working on a case-prioritization system for human review using public procurement data. The goal is not to “detect fraud” automatically, but to identify buyer–supplier relationships showing unusual patterns — for example excessive concentration, persistent dominance, high frequency in a short period of time, or amounts that stand out in context, in order to guide expert review more effectively.
At this stage, we’re opening a small expert review pilot with controlled access and limited review batches. We are looking for people with experience in public procurement, auditing, compliance, public integrity, administrative law, investigative journalism, or data analysis applied to public contracting.
The objective is to strengthen expert labeling and improve the quality of the system’s prioritization. Access would be restricted, traceable, subject to conflict-of-interest rules, and include a short calibration step before reviewers see real cases.
Before sharing the full call for applications, I wanted to ask whether this group would consider it appropriate to post an invitation here, and if so, what the best format would be.
Thank you.
I’m working on a case-prioritization system for human review using public procurement data. The goal is not to “detect fraud” automatically, but to identify buyer–supplier relationships showing unusual patterns — for example excessive concentration, persistent dominance, high frequency in a short period of time, or amounts that stand out in context, in order to guide expert review more effectively.
At this stage, we’re opening a small expert review pilot with controlled access and limited review batches. We are looking for people with experience in public procurement, auditing, compliance, public integrity, administrative law, investigative journalism, or data analysis applied to public contracting.
The objective is to strengthen expert labeling and improve the quality of the system’s prioritization. Access would be restricted, traceable, subject to conflict-of-interest rules, and include a short calibration step before reviewers see real cases.
Before sharing the full call for applications, I wanted to ask whether this group would consider it appropriate to post an invitation here, and if so, what the best format would be.
Thank you.
gaby vargas
Apr 7, 2026, 8:31:44 AMApr 7
to RODRIGO MARTÍNEZ, Open Contracting Data Standard - Discussion Group
Im honored just to be considered. Thank you.
Gaby
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Anne-Marie Lavie
Apr 7, 2026, 8:31:57 AMApr 7
to MARTÍNEZ RODRIGO, Data Standard Discussion Group Open Contracting
Hi
Yes this could be a valid forum to inform about what you are doing and ask for participants.
I am interested to participate
Best regards
Anne-Marie Lavie
Sent from my iPhone
On Apr 6, 2026, at 4:35 PM, 'RODRIGO MARTÍNEZ' via Open Contracting Data Standard - Discussion Group <standard...@open-contracting.org> wrote:
Hi everyone,
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Eduard Martín-Borregón
Apr 10, 2026, 8:14:02 AMApr 10
to Anne-Marie Lavie, MARTÍNEZ RODRIGO, Data Standard Discussion Group Open Contracting
Super interested!
Missatge de Anne-Marie Lavie <ww8...@gmail.com> del dia dt., 7 d’abr. 2026 a les 6:31:
To view this discussion visit https://groups.google.com/a/open-contracting.org/d/msgid/standard-discuss/288325D2-0D4E-4D68-AD73-E195509437A3%40gmail.com.
Miguel Angel
Apr 10, 2026, 8:14:07 AMApr 10
to Anne-Marie Lavie, MARTÍNEZ RODRIGO, Data Standard Discussion Group Open Contracting
Thank you for sharing this initiative. I am interested in participating in the pilot.
I previously worked at ChileCompra, where part of my work involved the adoption of the Open Contracting Data Standard (OCDS), as well as the development of APIs and open data related to public procurement.
Best regards,
Miguel Angel
To view this discussion visit https://groups.google.com/a/open-contracting.org/d/msgid/standard-discuss/288325D2-0D4E-4D68-AD73-E195509437A3%40gmail.com.
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