Building digital twins top down and bottom up approach

Dear all,

Sorry for cross-posting, but the question I have spans multiple fields of
work.

My organization, initially a sustainable development organization, has over
the last 14 years been gradually shifting to solutions engineering, with a
focus on ICT4D, KR(R) for AI, AI, advanced modeling and applied mathematics
and research for sustainable development.

Our initial idea was formulated in:
https://together2030.wordpress.com/2016/12/09/a-global-digital-dashboard-for-sustainable-development-data-to-achieve-the-sustainable-development-goals-of-agenda-2030/

This has changed and been modified to create a more general infrastructure.
Because we narrow focus on Small Island Developing States (SIDS) and
indigenous peoples,  the models can be made more compact, yet with the idea
in mind that they be scalable for more general use as well.

In order to create a general approach we have opted to use the digital twin
approach to encompass all physical features and assets of SIDS into models
to tackle the issues associated with sustainable development of SIDS.

In this we want to build on the UNOOSA Space4SDGS (
https://www.unoosa.org/oosa/en/ourwork/space4sdgs/index.html), Space4Ocean (
https://cnes.fr/en/projects/space4ocean) and EU Digital Twin for the Ocean (
https://digitaltwinocean.mercator-ocean.eu/) programs for the data and data
modeling.

But the hard part is the top down approach,  how to go from unstructured
data and policies and UN resolutions, outcome, program, road map and
research documents to a machine readable,  prompt or other input interfaces
to generate the digital processes, analytics, and associated automated
processes to use the data from the digital twin.

There are in essence three distinct problems here.

(1) How to convert the UN resolutions,  outcome, program, road map and
research documents into ontologies,  knowledge graphs and systems for data
gathering based on processes defined in policies.
(2) Structure policies and policy making into machine readable format
through automated policy-driven management (example:
https://itbrief.asia/story/making-sense-of-unstructured-data-through-policy-driven-management),
and
(3) input of data from multiple sources, e.g. from messaging and social
platforms, sms, email and digital documents and voice communication.

For each we face multiple challenges, of which in the case of (2) and (3)
progress is being made, but the key obstacle is (1).

We are therefore asking to help us find programs, projects, institutions
and tools to help create the necessary tools.


Milton Ponson,  president
Rainbow Warriors Core Foundation
CIAMSD Institute-ICT4D Program
+2977459312
PO Box 1154, Oranjestad
Aruba, Dutch Caribbean