Open Risk Academy

We are very happy to announce that Open Risk has joined the Digital4Sustainability Alliance Community, a European initiative dedicated to advancing the digital and sustainability skills required to accelerate the twin transition.

Digital4Sustainability (D4S) is a project funded under the EU's Erasmus+ programme. The project is dedicated to accelerating the digital and green transitions (the so-called twin transition), both within the ICT sector and across European industries. The consortium includes digital and sustainability experts, business associations, universities, and Vocational Education and Training (VET) providers from across Europe.

You can read more about the project and why we joined a the usual place.

The D4S mission goes to the heart of the sustainability transition challenges: Digital tech is essential infrastructure to help manage the information complexity of modern economies, and the sustainability transition is nothing if not complex, as it touches practically every aspect of modern society: energy systems, manufacturing, transport, land use and food systems, to name but a few. At the same time, from e-waste to the gigantic data center environmental and social impacts, the digitization of the economy has significant sustainability implications.

At Open Risk, we recognised early on that digitalisation and sustainability are deeply interconnected and we are fundamentally aligned with the objectives of the Digital4Sustainability initiative. For a long time we have been probing the possibilities of accelerated, digitally enabled learning and tools, with a particular focus in the domains of risk management and sustainable finance.

Our participation in the Alliance Community reflects our commitment to empowering Europe's workforce, fostering innovation, and contributing to a more competitive, inclusive, and sustainable continent.

We pledge to actively support the objectives of the Digital4Sustainability Alliance Community by sharing knowledge, contributing to best practice exchange, and promoting lifelong learning opportunities that address the skills needed for Europe’s twin transition.

Our participation will strengthen collaboration with peers across Europe, streamline, enhance and align our training programmes, and contribute to the collective effort of building a resilient, green, and digitally skilled workforce.

This course is a CrashProgram (short course) introducing the GeoJSON specification for the encoding of geospatial features. The course is at an introductory technical level. It requires some familiarity with data specifications such as JSON and basic knowledge of Python. The update expanded several sections, added examples with geopandas and fixed some broken links.

Enjoy!

In this course we want to study an identification framework for Open Source Business Model Risks.

The scope of the analysis covers both for-profit and non-profit projects.

The structure of the course is as follows:

• First we cover general aspects, with a focus on definitions and context.
• Next, the identification methodology sections document detailed approaches to potential weaknesses of a business model and their likely impact on the sustainability of a project.

The result is a FOSS Risk Canvas, a concise tool that helps with a comprehensive self-assessment of business model risks that can hinder FOSS projects reach financial sustainability.

In a blog post we discuss variability drivers of reported financed emissions of portfolios. Using a conceptual deed-dive into calculation procedures we isolate the fundamental factors and how they can be explained using waterfall diagrams.

The Open Risk Manual was developed for a long time, with out-most conviction, as an open and free resource. An open online repository of information about Risk Management in all its forms, that was the core idea, part of our vision for widely available open source tools for risk management and sustainable finance.

Alas, as of late the open part of the mission has become very problematic. A large number of AI bots are now roaming the internet and hitting servers (like the one on which the Manual runs) indiscriminately, without regard to breaking it. It has become very difficult to defend against such (effectively) DDoS attacks. Filtering the thousands of hostile bot requests using random address from human users is not what we want to spend our resources on. After trying all possible measures, it became clear that nothing will do. We need to ask users of the Manual to login before browsing and/or searching. 

The login mechanism is the same as the Academy. Users of the Academy can already use the Manual using their existing credentials. Other users will need to setup and have an account approved at the Academy.

Our objective in this post is to express standard financial statements concisely using symbolic mathematical notation that substantially captures their numerical information content and the constraints being satisfied.

We use the incidence matrix of an accounting graph to describe an abstract underlying accounting system that follows double-entry bookkeeping principles and we derive from it the classification, aggregation and stock-flow machinery that reproduces the well-known balance sheet, income and cash flow statements.