# Research Overview

The Research section contains academic-style entries produced in the course of LES. Each entry is a structured investigation of a topic directly relevant to the LES architecture, domain, or career development pathway.

Research runs in parallel with technical development. It is not confined to a pre-defined list — it follows the project. When a decision requires understanding a concept at depth, a research session is opened and the investigation is documented.

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### Research Streams

The following streams are active across the programme:

| Stream               | Description                                                                  |
| -------------------- | ---------------------------------------------------------------------------- |
| ERP Theory           | History, architecture, and evolution of enterprise resource planning systems |
| Personal Informatics | Academic field studying self-tracking and personal data systems              |
| AI Ethics            | Governance, privacy, and ethical frameworks for personal AI systems          |
| Knowledge Management | How individuals and organisations capture and leverage knowledge             |
| Cognitive Science    | Decision-making, memory, and externalised systems in human cognition         |
| Finance Systems      | Architecture of enterprise finance systems — GL, reporting, forecasting      |
| AI in Finance        | AI transformation of the finance function                                    |

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### Primary Research Output

The intended long-form paper is *"The Intelligent Personal Finance Function: A Framework for AI-Augmented Individual Financial Management"* — targeted for submission in Phase 5.

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### Current Status

No research entries have been published to date. The project is in Phase 0. The first entries are anticipated in Phase 1, following the commencement of LES-FIN design.

***

* [Document Taxonomy & Coding System](https://app.gitbook.com/o/tbne7ZtUlyqO49hsY3QC/s/Nb5M0j365A1RgeUSUy4w/00-introduction/document-taxonomy-and-coding-system)
* Master Roadmap — Academic & Research Layer
* **GitHub:** [github.com/NikiDigitals](https://github.com/NikiDigitals)
* **Website:** [nikidigitals.com](https://nikidigitals.com)
* **LinkedIn:** [linkedin.com/in/nmlangendam](https://linkedin.com/in/nmlangendam)


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