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Comments on Cracking The Code: Rulemaking For Humans And Machines (August 2020 draft) Comments on the draft OECD White Paper on Rules as Code, submitted on 27 August 2020 to the authors

Authors: Casanovas, Pompeu; Hashmi, Mustafa; Barnes, Jeffrey; de Koker, Louis; Lam, Ho-Pun; Governatori, Guido; Zeleznikow, John;

Comments on Cracking The Code: Rulemaking For Humans And Machines (August 2020 draft) Comments on the draft OECD White Paper on Rules as Code, submitted on 27 August 2020 to the authors

Abstract

Cracking the Code: Rulemaking for Humans and Machines is an OECD Working Paper authored by James Mohun and Alex Roberts and released on 14 October 2020. This Working Paper on Public Governance, produced by the OECD Observatory of Public Sector Innovation, is available in English and French. A draft version was publicly available on the web for comments. In August 2020 the La Trobe LawTech team reached out to the authors and provided some comments on the draft Working Paper. Rules as Code is gaining momentum, increasing the need for constructive critical engagement. To support the broader discussions around Rules as Code, we are publishing our August 2020 Comments. These are provided in their original form, with small technical and language edits for wider publication.

Keywords

Business Languages, Rules as Code, Regulatory modelsZ, Rule Modelling, Legal interpretation, Cracking the Code (OECD)

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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