Equinox Release 0.8
Release 0.8 Release 0.8 of equinox.
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Open Risk Academy Course: Tensor Calculations with the Eigen C++ Library
A DeepDive using the Eigen C++ Library to perform Tensor calculations
Course Objective The objective of the course is to provide an introduction to using Eigen::Tensor as a high-level library for using Tensors in C++ projects.
We learn the concept and techniques of the Eigen Tensor class How to declare, initialize Tensors of various ranks and types and how to access Tensor elements Elementary unary and binary operations involving Tensors More complex operations (reductions, contractions) Modifying the shape of Tensors The course is now live at the Academy, the github repository hosts C++ scripts used in the course.
Awesome Sustainable Finance
A curated list of sustainable finance resources
An Awesome List for Sustainable Finance. Awesome Sustainable Finance is a curated list of sustainable finance resources. The focus of the list is on code (tools, libraries, frameworks etc.) that fairly directly support any type of sustainable finance effort but also open data that are useful in a sustainable finance context.
Image Credit: StarwallOfRadical.town, CC BY-SA 4.0, via Wikimedia Commons
How to Contribute The list is maintained on github so the easiest way to contribute is to open a Pull Request in our repository.
Climate Dictionary Quiz
The Climate Dictionary Quiz is now accessible as a course at the Open Risk Academy. The Quiz is based on the UN Climate Dictionary and provides an interactive educational tool to enable deeper understanding of the essential terminology.
The Climate Dictionary is an initiative of the United Nations Development Programme (UNDP) aimed at providing people worldwide with a simplified guide to understand climate change. The Dictionary (first published Aug 2023) seeks to bridge the gap between complex scientific jargon such as present in the IPCC publications and other scientific bodies and the public.
Image: NASA Temperature Anomaly
The Dictionary selects several dozen important climate concepts that are currently actively discussed worldwide with the aim to make them more accessible and relatable to individuals from various backgrounds and levels of expertise.
Equinox 0.7 release focuses on scope 2 (electricity) emissions
New data models introduced in this release of Equinox cater to the requirement of integrating energy attribute certificate information into the portfolio database.
GHG Accounting offers a means of measuring the direct and indirect emissions to the Earth’s Biosphere of CO2 and its equivalent gases from industrial and other activities. GHG Accounting is a rapidly developing area that has come to receive increased focus in the context of accelerating Climate Change. Given that the generation of electricity and heat accounts for around a third of global GHG emissions electricity consumers have incentives to proactively reduce those emissions by reducing electricity demand, or by shifting energy supply by procuring alternative lower-carbon or renewable resources.
Equinox Release 0.7
Release 0.7 Release 0.7 of equinox introduces the Scope 2 Reporting use case.
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First public release of the Solstice simulation framework
Solstice is a flexible open source economic network simulator. Its primary outcomes are quantitative analyses of the behavior of economic systems under uncertainty. In this post we provide a first overall description of Solstice to accompany the first public release.
Modeling economic networks and their dynamics Economic networks are the primary abstractions though which we can conceptualize the state (condition) and evolution of economic interactions. This simply reflects the fact that human economies are quite fundamentally systems of interacting actors (or nodes in a network) with transient or more permanent relations between them.
In practice the network character of an economy is frequently suppressed or under-emphasized and does not play a particularly important role.
Equinox Release 0.6
Release 0.6 Release 0.6 of equinox introduces a second use case with summary national statistics (country / sector), visualizations, fixtures and the adoption of BDD testing framework
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Equinox Release 0.5
Release 0.5 With Release 0.5 of equinox we start the more formal tracking of development.
The Equinox alpha release 0.5 includes a complete data set to be used in testing Use Case 1. Use case 1 takes the perspective of local authority (a city) that wants to examine the footprint of its city-wide procurement portfolio
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Equinox 0.4 release focuses on green public procurement functionality
On Earth Day 2022 we are happy to release a significant update of Equinox, the open source platform supporting sustainable portfolio management
Equinox 0.4 Release Equinox is an open source platform that supports holistic risk management and reporting in the context of Sustainable Portfolio Management. The platform integrates geospatial information with applicable regulatory and industry standards, for example the GHG Protocol (accounting for Project based, Corporate and City-Wide greenhouse gas emissions), the IPCC Emissions Factor database and further reference data, the PCAF attribution methodologies (and more) to provide a holistic view of the footprint of both individual projects and portfolios.
Two New Taxonomies Introduced in the Open Risk Manual
The Role of Open Risk Manual Taxonomies A taxonomy is the categorization of concepts. It can be a very useful tool in supporting effective knowledge management. Fundamentally a taxonomy is a scheme of classification, typically a hierarchical classification, in which things or concepts are organized into groups or types of increasing specificity.
Mathematically, a hierarchical taxonomy is a tree structure of classifications for a given set of objects. It is sometimes also named a containment hierarchy.
Open Risk Academy Course: Input-Output Models with Python
A DeepDive Course into using Python to work with Input-Output Models
What are Input-Output Models? Environmentally Extended Multi-Regional Input-Output (EE-MRIO) tables describe economic relationships of economic actors (e.g. industrial sectors) operating within and between regions and their environmental repercussions.
An EE MRIO augments the more basic and historically first proposed Input-Output Models (IO) with additional datasets and/or modeling assumptions in order to provide insights into the environmental foorprint of economic activity. Presently, the emphasis on negative externalities of economic activity (e.g., climate change, biodiversity loss) turns EE MRIO models into a useful conceptual and analytic tool.
Integrating the IPCC Emissions Factors Database Into Equinox
In the latest update of the Equinox Project we discuss the integration of reference data an in particular greenhouse gas emissions factors as catalogued in the IPCC Emissions Factors database (EFDB).
Equinox is an open source platform that supports the holistic risk management and reporting of major sustainable finance projects (the financing of projects with material physical footprint) such as project finance.
Equinox aims to integrate in the database a number reference databases that facilitate tasks of sustainable portfolio management. In the current focus such reference material concerns the emissions factors for various processes and activities. In the latest (Solstice Day!) update of the Equinox Project we discuss the integration of reference data an in particular greenhouse gas emissions factors as catalogued in the IPCC Emissions Factors database (EFDB).
Equinox: a Platform for Sustainable Project Finance Risk Management
On Earth Day 2021 we are happy to launch Equinox, an open source platform supporting sustainable project finance
Equinox is an open source platform that supports holistic risk management and reporting of Sustainable Finance (Sustainable Portfolio Management). The platform integrates geospatial information with applicable regulatory and industry standards from EBA, PCAF and Equator Principles to provide a holistic view of the footprint of both individual projects and portfolios, in particular of project finance investments.
Motivation Sustainability (understood in environmental, economic and social terms) is emerging as an undisputed constraint that will shape future human activity and more specifically how the financial system facilitates and empowers economic life.
Towards the Semantic Description of Machine Learning Models
Semantic Web Technologies integrate naturally with the worlds of open data science and open source machine learning, empowering better control and management of the risks and opportunities that come with increased digitization and model use
The ongoing and accelerating digitisation of many aspects of social and economic life means the proliferation of data driven/data intermediated decisions and the reliance on quantitative models of various sorts (going under various hashtags such as machine learning, artificial intelligence, data science etc.
Marking Pi Day 2021 With a Raspberry Pi Docker Image for OpenNPL
We celebrate Pi Day 2021 releasing an ARM version of the openNPL platform that is suitable for the Raspberry Pi
Celebrating Pi Day 2021 Pi Day is celebrated every year on March 14th. The reason of course is that the day is denoted in some calendars as (3/14), which evokes of 3.14, the first three digits of “π”. A thin excuse maybe but sufficient for the true believers to join along! The occasion represents an annual opportunity for mathematics and science enthusiasts to recite the infinite charms of Pi, including its irrationality, to talk to friends and family about math and its uses, and, when everything else fails, simply eat pie.
An introduction to Semantic Python
A CrashCourse introduction to semantic data using Python covering a number of frameworks such as rdflib, owlready and pySHACL
Course Content This CrashCourse is an introduction to semantic data using Python. It covers the following topics:
We learn to work with RDF graphs using rdflib We explore the owlready package and OWL ontologies We look into json-ld serialization of RDF/OWL data We try data validation using pySHACL We use throughout a realistic data set based on the Credit Ratings Ontology Who Is This Course For The course is useful to:
Non-Performing Loan Ontology
The NPL Ontology (NPLO) is a new ontology describing datasets of Non-Perfoming Loan Portfolios.
The Non-Perfoming Loan Ontology The Non-Performing Loan Ontology is a framework that aims to represent and categorize knowledge about non-performing loans using semantic web information technologies. Codenamed NPLO, it codifies the relationship between the various components of a Non-Performing Loan portfolio dataset.(NB: Non-performing loans are bank loans that are 90 days or more past their repayment date or that are unlikely to be repaid, for example if the borrower is facing financial difficulties).
A Global Mobility Index
We introduce a global mobility index that averages Google mobility data across all available countries (weighting by population) to provide an overall view of how the pandemic has influenced human mobility
Constructing a Global Mobility Index (GMI) In previous posts (here, and here) we introduced new Open Risk Dashboard functionalities that integrate COVID-19 community mobility data (currently focusing on the datasets provided by Google).
As a reminder, these reports chart over time human mobility trends collected from mobile geolocation data. The granularity is by geography and across different categories of places / activities such as retail and recreation areas, groceries and pharmacies, parks, transit stations, workplaces, and residential areas.
Risk Function Ontology
The Risk Function Ontology (RFO) is a new ontology describing risk management roles (posts) and functions.
The Risk Function Ontology The Risk Function Ontology is a framework that aims to represent and categorize knowledge about risk management functions using semantic web information technologies. Codenamed RFO codifies the relationship between the various components of a risk management organization. Individuals, teams or even whole departments tasked with risk management exist in some shape or form in most organizations. The ontology allows the definition of risk management roles in more precise terms, which in turn can be used in a variety of contexts: towards better structured actual job descriptions, more accurate description of internal processes and easier inspection of alignement and consistency with risk taxonomies.