Welcome to Algonomia’s Open Source Wiki - Revision history

Walid ELJAAFARI: /* Featured Algorithms */ addition of the Tax accounting algorithm

2024-04-08T05:23:40Z

Featured Algorithms: addition of the Tax accounting algorithm

← Older revision		Revision as of 05:23, 8 April 2024
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	=== Featured Algorithms ===		=== Featured Algorithms ===

	* [[Transfer Pricing Algorithm\|'''Transfer Pricing Algorithm''']]: Designed with precision, this tool focuses on automating calculations related to transfer prices and TP adjustments. By evaluating the tax ramifications throughout a multinational enterprise (MNE), it offers a streamlined process to pinpoint the most effective transfer pricing strategy.		* [[Transfer Pricing Algorithm\|'''Transfer Pricing Algorithm''']]: Designed with precision, this tool focuses on automating calculations related to transfer prices and TP adjustments. By evaluating the tax ramifications throughout a multinational enterprise (MNE), it offers a streamlined process to pinpoint the most effective transfer pricing strategy;
	* [[Pillar 2 Algorithm\|'''Pillar 2 Algorithm''']]: A comprehensive solution that walks users through every stage, from the foundational scope analysis to the nuanced charging mechanisms. With provisions for safe harbor and a roadmap for the diverse elections necessary, this algorithm ensures a thorough computation of the Top Up tax.		* [[Pillar 2 Algorithm\|'''Pillar 2 Algorithm''']]: A comprehensive solution that walks users through every stage, from the foundational scope analysis to the nuanced charging mechanisms. With provisions for safe harbor and a roadmap for the diverse elections necessary, this algorithm ensures a thorough computation of the Top Up tax;
			* [[Tax accounting algorithm]] : A transparent method to mobilize the various inputs and differences collected during the reconciliation process to generate both the Tax proof and the Deferred Tax Report, compatible with the Pillar 2 process.

	=== Sharing Code, documentation and tax engine ===		=== Sharing Code, documentation and tax engine ===

Walid ELJAAFARI: /* Sharing Code, documentation and tax engine */ move to AGPL

2023-12-30T07:41:08Z

Sharing Code, documentation and tax engine: move to AGPL

← Older revision		Revision as of 07:41, 30 December 2023
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	To facilitate transparency and ease of access, we have meticulously decomposed our material:		To facilitate transparency and ease of access, we have meticulously decomposed our material:

	* Source Code: Available on our GitHub repository [https://www.github.com/Algonomia Algonomia's GitHub] under the [https://www.gnu.org/licenses/~~lgpl~~-3.0~~.en~~.html ~~LGPL~~] (~~Lesser~~ General Public License), which allows others to modify and share the code, ensuring that improvements flow back to the community,		* Source Code: Available on our GitHub repository [https://www.github.com/Algonomia Algonomia's GitHub] under the [https://www.gnu.org/licenses/agpl-3.0.html AGPL] (GNU Affero General Public License), which allows others to modify and share the code, ensuring that improvements flow back to the community,
	* Wiki Content: Distributed under the [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA] (Creative Commons Attribution-NonCommercial-ShareAlike) license, which permits non-commercial use, redistribution, and adaptation, provided appropriate attribution is given and adaptations are shared under the same license,		* Wiki Content: Distributed under the [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA] (Creative Commons Attribution-NonCommercial-ShareAlike) license, which permits non-commercial use, redistribution, and adaptation, provided appropriate attribution is given and adaptations are shared under the same license,
	* Online API Computation Engine: A server is available to anyone wishing to test the algorithms, without having to operate them, using API. Uses with real tax payer data of any kind is prohibited as this is only set-up for test. For any use with real data, please set-up an independant secure server using the source code, or contact us (whether business, administration or academics)		* Online API Computation Engine: A server is available to anyone wishing to test the algorithms, without having to operate them, using API. Uses with real tax payer data of any kind is prohibited as this is only set-up for test. For any use with real data, please set-up an independant secure server using the source code, or contact us (whether business, administration or academics)

Walid ELJAAFARI at 11:08, 14 December 2023

2023-12-14T11:08:27Z

← Older revision		Revision as of 11:08, 14 December 2023
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			[[File:Wiki Algonomia hero banner.png\|alt=Hero Bruce Bannner\|center\|frameless\|700x700px]]
	In the digital age, Algonomia champions the philosophy of open source, aspiring to make tax systems more comprehensible, transparent, and accessible for everyone. Whether you are an academic researcher, an individual taxpayer, or a part of tax administration, our platform seeks to provide tools and resources that shed light on the intricate nuances of global tax structures.		In the digital age, Algonomia champions the philosophy of open source, aspiring to make tax systems more comprehensible, transparent, and accessible for everyone. Whether you are an academic researcher, an individual taxpayer, or a part of tax administration, our platform seeks to provide tools and resources that shed light on the intricate nuances of global tax structures.

Walid ELJAAFARI: /* Join, Innovate & Contribute */

2023-12-14T08:40:47Z

Join, Innovate & Contribute

← Older revision		Revision as of 08:40, 14 December 2023
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	* API Server: Utilize the API for practical applications, research, or testing, and offer feedback on its utility, efficiency, and potential enhancements. ''Learn how to [[Use the API server]].''		* API Server: Utilize the API for practical applications, research, or testing, and offer feedback on its utility, efficiency, and potential enhancements. ''Learn how to [[Use the API server]].''
	* Collaborative Research: Academics and professionals can harness the API and platform resources to produce research analyses, fostering a shared academic and practical exploration. ''Discover [[Algonomia's Research Program]].''		* Collaborative Research: Academics and professionals can harness the API and platform resources to produce research analyses, fostering a shared academic and practical exploration. ''Discover [[Algonomia's Research Program]].''

			== General Development Program ==
			The Open Source Project presented in this page is an ongoing work and its documentation on this wiki is also a work in progress. It is by no means complete and definitive, and changes will occur in the upcoming weeks and months.

			Both GitHub and MediaWiki are amazing tools to manage collaborative work and track the progress and modifications that happen with time.

			The general to-do list is presented in the [[General Development Program]].

Hakim NEMAR: Hakim NEMAR moved page Welcome to Algonomia's Open Source Wiki to Welcome to Algonomia’s Open Source Wiki: Misspelled title

2023-11-06T09:02:45Z

Hakim NEMAR moved page Welcome to Algonomia's Open Source Wiki to Welcome to Algonomia’s Open Source Wiki: Misspelled title

← Older revision		Revision as of 09:02, 6 November 2023
(No difference)

Matthieu CANNAVO at 15:17, 2 November 2023

2023-11-02T15:17:22Z

← Older revision		Revision as of 15:17, 2 November 2023
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	== Join, Innovate & Contribute ==		== Join, Innovate & Contribute ==
	Our wiki is more than a ~~repository—it~~ is a dynamic community nexus. We encourage active participation and collaboration from all users.		Our wiki is more than a repository — it is a dynamic community nexus. We encourage active participation and collaboration from all users.

	* Wiki: From sharing insights and experiences to proposing content enhancements, all are welcome to deepen the understanding and richness of the Wiki. ''Learn how to [[Contribute to Wiki Algonomia]].''		* Wiki: From sharing insights and experiences to proposing content enhancements, all are welcome to deepen the understanding and richness of the Wiki. ''Learn how to [[Contribute to Wiki Algonomia]].''

Walid ELJAAFARI at 12:48, 1 November 2023

2023-11-01T12:48:42Z

← Older revision		Revision as of 12:48, 1 November 2023
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	=== Featured Algorithms ===		=== Featured Algorithms ===

	* [[Transfer Pricing Algorithm]]: Designed with precision, this tool focuses on automating calculations related to transfer prices and TP adjustments. By evaluating the tax ramifications throughout a multinational enterprise (MNE), it offers a streamlined process to pinpoint the most effective transfer pricing strategy.		* [[Transfer Pricing Algorithm\|'''Transfer Pricing Algorithm''']]: Designed with precision, this tool focuses on automating calculations related to transfer prices and TP adjustments. By evaluating the tax ramifications throughout a multinational enterprise (MNE), it offers a streamlined process to pinpoint the most effective transfer pricing strategy.
	* [[Pillar 2 Algorithm]]: A comprehensive solution that walks users through every stage, from the foundational scope analysis to the nuanced charging mechanisms. With provisions for safe harbor and a roadmap for the diverse elections necessary, this algorithm ensures a thorough computation of the Top Up tax.		* [[Pillar 2 Algorithm\|'''Pillar 2 Algorithm''']]: A comprehensive solution that walks users through every stage, from the foundational scope analysis to the nuanced charging mechanisms. With provisions for safe harbor and a roadmap for the diverse elections necessary, this algorithm ensures a thorough computation of the Top Up tax.

	=== Sharing Code, documentation and tax engine ===		=== Sharing Code, documentation and tax engine ===

Walid ELJAAFARI: /* How the Tax Community Benefits */

2023-11-01T11:11:25Z

How the Tax Community Benefits

← Older revision		Revision as of 11:11, 1 November 2023
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	By offering open-source algorithms, we aim to make the tax landscape more accessible, transparent, and efficient for all. Here is a breakdown of the benefits for each group:		By offering open-source algorithms, we aim to make the tax landscape more accessible, transparent, and efficient for all. Here is a breakdown of the benefits for each group:

	* Tax Payers: Equipped with Algonomia's algorithms, taxpayers can automate their tax computations and model alternate scenarios to assess their tax impact. The transparency of our computational steps ensures clarity at every juncture, allowing for confident and informed decision-making,		* Tax Payers: Equipped with Algonomia's algorithms, taxpayers can automate their tax computations and model alternate scenarios to assess their tax impact. The transparency of our computational steps ensures clarity at every juncture, allowing for confident and informed decision-making. ''Please note that the present wiki is independent from [https://www.algonomia.com Algonomia's commercial website], where commercial SaaS solutions using these algorithms are presented.''
	* Tax Administrations: By integrating our algorithms, administrations can run computations using taxpayer data to assess policy impact, optimize revenue collection strategies, and gauge the effectiveness of current regulations. Furthermore, these tools provide a reliable framework to automate complex tax procedures, bolstering efficiency and ensuring comprehensive compliance,		* Tax Administrations: By integrating our algorithms, administrations can run computations using taxpayer data to assess policy impact, optimize revenue collection strategies, and gauge the effectiveness of current regulations. Furthermore, these tools provide a reliable framework to automate complex tax procedures, bolstering efficiency and ensuring comprehensive compliance,
	* Academics: Scholars and researchers now have access to the precise tax computation algorithms utilized by taxpayers, marking a notable advancement in tax economics and legal analytical methods. This access facilitates a more refined, quantitative approach to public policy assessment. As a committed member of this academic community, Algonomia earnestly wishes to contribute and augment the collective understanding in this domain,		* Academics: Scholars and researchers now have access to the precise tax computation algorithms utilized by taxpayers, marking a notable advancement in tax economics and legal analytical methods. This access facilitates a more refined, quantitative approach to public policy assessment. As a committed member of this academic community, Algonomia earnestly wishes to contribute and augment the collective understanding in this domain with its own [[Algonomia's Research Program\|research program]],
	* Software Providers: Companies at the forefront of software development can leverage and expand upon Algonomia's open-source algorithms. By adapting and innovating, they can craft tailored solutions for specific market needs or challenges,		* Software Providers: Companies at the forefront of software development can leverage and expand upon Algonomia's open-source algorithms. By adapting and innovating, they can craft tailored solutions for specific market needs or challenges,
	* Tax Professionals: For those deeply entrenched in the tax world and students arriving in the tax world, this wiki becomes an invaluable resource. By dissecting our algorithms, professionals can refine their expertise, and/or challenge ours, stay updated with the latest methodologies, discover the "behind the scene" computational aspects, and serve their clients with enhanced precision,		* Tax Professionals: For those deeply entrenched in the tax world and students arriving in the tax world, this wiki becomes an invaluable resource. By dissecting our algorithms, professionals can refine their expertise, and/or challenge ours, stay updated with the latest methodologies, discover the "behind the scene" computational aspects, and serve their clients with enhanced precision,
Line 29:		Line 29:
	Our wiki is more than a repository—it is a dynamic community nexus. We encourage active participation and collaboration from all users.		Our wiki is more than a repository—it is a dynamic community nexus. We encourage active participation and collaboration from all users.

	* Wiki: From sharing insights and experiences to proposing content enhancements, all are welcome to deepen the understanding and richness of the Wiki. Learn how to [[Contribute to Wiki Algonomia]].		* Wiki: From sharing insights and experiences to proposing content enhancements, all are welcome to deepen the understanding and richness of the Wiki. ''Learn how to [[Contribute to Wiki Algonomia]].''
	* GitHub: Coders, tax professionals, and software providers can collaborate on code development, provide feedback, or suggest algorithmic improvements. Learn how to [[Contribute to the Code]].		* GitHub: Coders, tax professionals, and software providers can collaborate on code development, provide feedback, or suggest algorithmic improvements. ''Learn how to [[Contribute to the Code]].''
	* API Server: Utilize the API for practical applications, research, or testing, and offer feedback on its utility, efficiency, and potential enhancements. Learn how to [[Use the API server]].		* API Server: Utilize the API for practical applications, research, or testing, and offer feedback on its utility, efficiency, and potential enhancements. ''Learn how to [[Use the API server]].''
	* Collaborative Research: Academics and professionals can harness the API and platform resources to produce research analyses, fostering a shared academic and practical exploration. Discover [[Algonomia's Research Program]].		* Collaborative Research: Academics and professionals can harness the API and platform resources to produce research analyses, fostering a shared academic and practical exploration. ''Discover [[Algonomia's Research Program]].''

Walid ELJAAFARI: /* Join, Innovate & Contribute */

2023-11-01T11:03:08Z

Join, Innovate & Contribute

← Older revision		Revision as of 11:03, 1 November 2023
Line 29:		Line 29:
	Our wiki is more than a repository—it is a dynamic community nexus. We encourage active participation and collaboration from all users.		Our wiki is more than a repository—it is a dynamic community nexus. We encourage active participation and collaboration from all users.

	* Wiki: From sharing insights and experiences to proposing content enhancements, all are welcome to deepen the understanding and richness of the Wiki.		* Wiki: From sharing insights and experiences to proposing content enhancements, all are welcome to deepen the understanding and richness of the Wiki. Learn how to [[Contribute to Wiki Algonomia]].
	* GitHub: Coders, tax professionals, and software providers can collaborate on code development, provide feedback, or suggest algorithmic improvements.		* GitHub: Coders, tax professionals, and software providers can collaborate on code development, provide feedback, or suggest algorithmic improvements. Learn how to [[Contribute to the Code]].
	* API Server: Utilize the API for practical applications, research, or testing, and offer feedback on its utility, efficiency, and potential enhancements.		* API Server: Utilize the API for practical applications, research, or testing, and offer feedback on its utility, efficiency, and potential enhancements. Learn how to [[Use the API server]].
	* Collaborative Research: Academics and professionals can harness the API and platform resources to produce research analyses, fostering a shared academic and practical exploration.		* Collaborative Research: Academics and professionals can harness the API and platform resources to produce research analyses, fostering a shared academic and practical exploration. Discover [[Algonomia's Research Program]].

Walid ELJAAFARI: Created page with "In the digital age, Algonomia champions the philosophy of open source, aspiring to make tax systems more comprehensible, transparent, and accessible for everyone. Whether you are an academic researcher, an individual taxpayer, or a part of tax administration, our platform seeks to provide tools and resources that shed light on the intricate nuances of global tax structures. == Embracing Open Source == Tax systems, with their innate complexities, have long been a topic o..."

2023-11-01T10:24:31Z

Created page with "In the digital age, Algonomia champions the philosophy of open source, aspiring to make tax systems more comprehensible, transparent, and accessible for everyone. Whether you are an academic researcher, an individual taxpayer, or a part of tax administration, our platform seeks to provide tools and resources that shed light on the intricate nuances of global tax structures. == Embracing Open Source == Tax systems, with their innate complexities, have long been a topic o..."

New page

In the digital age, Algonomia champions the philosophy of open source, aspiring to make tax systems more comprehensible, transparent, and accessible for everyone. Whether you are an academic researcher, an individual taxpayer, or a part of tax administration, our platform seeks to provide tools and resources that shed light on the intricate nuances of global tax structures.

== Embracing Open Source ==
Tax systems, with their innate complexities, have long been a topic of extensive discussion and occasional bewilderment. By unveiling our cutting-edge tax algorithms to the public, Algonomia aims to furnish a robust toolkit that can decipher and simplify these systems. We are embarking on a journey of collaborative knowledge-sharing, aiming to demystify tax intricacies with the collective wisdom and innovation of our community.

=== Featured Algorithms ===

* [[Transfer Pricing Algorithm]]: Designed with precision, this tool focuses on automating calculations related to transfer prices and TP adjustments. By evaluating the tax ramifications throughout a multinational enterprise (MNE), it offers a streamlined process to pinpoint the most effective transfer pricing strategy.
* [[Pillar 2 Algorithm]]: A comprehensive solution that walks users through every stage, from the foundational scope analysis to the nuanced charging mechanisms. With provisions for safe harbor and a roadmap for the diverse elections necessary, this algorithm ensures a thorough computation of the Top Up tax.

=== Sharing Code, documentation and tax engine ===
To facilitate transparency and ease of access, we have meticulously decomposed our material:

* Source Code: Available on our GitHub repository [https://www.github.com/Algonomia Algonomia's GitHub] under the [https://www.gnu.org/licenses/lgpl-3.0.en.html LGPL] (Lesser General Public License), which allows others to modify and share the code, ensuring that improvements flow back to the community,
* Wiki Content: Distributed under the [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA] (Creative Commons Attribution-NonCommercial-ShareAlike) license, which permits non-commercial use, redistribution, and adaptation, provided appropriate attribution is given and adaptations are shared under the same license,
* Online API Computation Engine: A server is available to anyone wishing to test the algorithms, without having to operate them, using API. Uses with real tax payer data of any kind is prohibited as this is only set-up for test. For any use with real data, please set-up an independant secure server using the source code, or contact us (whether business, administration or academics)

== How the Tax Community Benefits ==
By offering open-source algorithms, we aim to make the tax landscape more accessible, transparent, and efficient for all. Here is a breakdown of the benefits for each group:

* Tax Payers: Equipped with Algonomia's algorithms, taxpayers can automate their tax computations and model alternate scenarios to assess their tax impact. The transparency of our computational steps ensures clarity at every juncture, allowing for confident and informed decision-making,
* Tax Administrations: By integrating our algorithms, administrations can run computations using taxpayer data to assess policy impact, optimize revenue collection strategies, and gauge the effectiveness of current regulations. Furthermore, these tools provide a reliable framework to automate complex tax procedures, bolstering efficiency and ensuring comprehensive compliance,
* Academics: Scholars and researchers now have access to the precise tax computation algorithms utilized by taxpayers, marking a notable advancement in tax economics and legal analytical methods. This access facilitates a more refined, quantitative approach to public policy assessment. As a committed member of this academic community, Algonomia earnestly wishes to contribute and augment the collective understanding in this domain,
* Software Providers: Companies at the forefront of software development can leverage and expand upon Algonomia's open-source algorithms. By adapting and innovating, they can craft tailored solutions for specific market needs or challenges,
* Tax Professionals: For those deeply entrenched in the tax world and students arriving in the tax world, this wiki becomes an invaluable resource. By dissecting our algorithms, professionals can refine their expertise, and/or challenge ours, stay updated with the latest methodologies, discover the "behind the scene" computational aspects, and serve their clients with enhanced precision,
* General Public: For the curious minds seeking insights into the tax domain, this wiki offers a window into its complexities. Even without a professional background, individuals can familiarize themselves with tax mechanics, demystifying what often seems like a daunting realm, and discover the computational complexities they require.

== Join, Innovate & Contribute ==
Our wiki is more than a repository—it is a dynamic community nexus. We encourage active participation and collaboration from all users.

* Wiki: From sharing insights and experiences to proposing content enhancements, all are welcome to deepen the understanding and richness of the Wiki.
* GitHub: Coders, tax professionals, and software providers can collaborate on code development, provide feedback, or suggest algorithmic improvements.
* API Server: Utilize the API for practical applications, research, or testing, and offer feedback on its utility, efficiency, and potential enhancements.
* Collaborative Research: Academics and professionals can harness the API and platform resources to produce research analyses, fostering a shared academic and practical exploration.