GoRIM: a model-driven method for enhancing regulatory intelligence

GoRIM: a model-driven method for enhancing regulatory intelligence
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GoRIM:增强监管情报的模型驱动方法

DOI:
10.1007/s10270-021-00949-z
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发表时间:
2021
影响因子:
2
通讯作者:
Lysanne Lessard
Lysanne Lessard
中科院分区:
计算机科学3区
文献类型:
--
作者:
O. Akhigbe;Daniel Amyot;Gregory Richards;Lysanne Lessard

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监管机构不断面临压力,要求他们展示自己管理的法规是否以及如何实现预期的社会结果。这些法规对各种制度和流程提出了许多要求。传统上,监管机构依赖影响评估、风险分析和成本效益分析来评估法规的合规性。然而,这些方法耗费大量精力和时间,侧重于监管过程的效率,而不是旨在改善对监管的遵守情况的监管举措的有效性,以及后者对预期的社会结果的影响。以目标为导向的建模和数据分析方法为开发更复杂的方法和工具提供了基础,以更好地满足监管机构的需要。本文介绍了面向目标的监管情报方法(GoRIM),该方法通过建模和数据分析来实现对监管的有效管理。通过对效率和效力方面的持续监测、评估和报告,GoRIM旨在促进对法规、监管举措和社会结果之间的反馈循环的分析。为了证明GoRIM在解决法规和倡议之间的第一个反馈回路方面的适用性和感知的有用性,我们通过三个涉及不同背景的监管机构的案例研究对其进行了评估,结果是积极的。GoRIM将监管情报的概念扩展到合规分析之外。它还为监管机构提供了实用的指导方针和工具,以便及时做出与增加、修改或废除法规和相关监管举措有关的循证决定。此外,GoRIM有助于更好地识别支持此类决策的软件和信息需求。
Regulators are under constant pressure to demonstrate if and how the regulations they administer, which impose many requirements on various systems and processes, achieve intended societal outcomes. Traditionally, regulators have relied on impact assessments, risk analysis, and cost–benefit analysis to assess compliance with regulations. These methods, however, are effort and time intensive and focus on the efficiency of regulatory processes rather than on the effectiveness of the regulatory initiatives meant to improve compliance to regulations and the latter’s impact on intended societal outcomes. Goal-oriented modelling and data analytics approaches provide the basis for the development of more sophisticated methods and tools to better address the needs of regulators. This paper introduces the goal-oriented regulatory intelligence method (GoRIM), which enables effective management of regulations through modelling and data analytics. Through continuous monitoring, assessing, and reporting on efficiency and effectiveness aspects, GoRIM is meant to facilitate the analysis of feedback loops between regulations, regulatory initiatives, and societal outcomes. To demonstrate the applicability and perceived usefulness of GoRIM in addressing the first feedback loop between regulations and initiatives, we evaluated it through three case studies involving regulators from different contexts, with positive results. GoRIM extends the concept of regulatory intelligence beyond the analysis of compliance. It also provides practical guidelines and tools to regulators for making, in a timely way, evidence-based decisions related to the addition, modification, or repeal of regulations and related regulatory initiatives. In addition, GoRIM helps better identify software and information needs for enabling such decisions.
(R)-BINOL-3,3-二苯甲酸合成手性MOF及其在旋光异构体分离中的应用
DOI: --
发表时间: 2016
期刊:
影响因子: --
作者:
Katsuhiro Yamamoto;Kazuma Kanayama;Isamu Akiba;宇野椋裕・田中耕一
通讯作者: 宇野椋裕・田中耕一