talk · Thursday 24 September · SAL B

Operationalising biodiversity DT ecosystems through assessment-driven service mapping and reusable tools and workflow integration

Syrine Ben Aziza · Operationalizing Biodiversity Digital Twins within Data Space Ecosystems

Recording time 1:53:54–2:10:12Open on Vimeo ↗

The short versionA simple, purpose-first assessment that maps a team's needs and capabilities to an inventory of existing tools helps digital twin projects reuse rather than rebuild.

Overview

What this was about

Syrine Ben Aziza argued that biodiversity digital twin projects keep producing tools that are hard to find, understand and adopt once funding ends, so similar solutions get rebuilt. TNO's 'assessment tech' approach pairs 'what is needed' (purpose, stakeholders, capabilities and maturity) with 'what is available' (solutions and resources) through five steps: define context, compare capabilities with needs, identify gaps and constraints, match goals to options, and check feasibility, iteratively. She described a use case guide in BioDT for teams to assess their twin's maturity and ambition, and in DTO-BioFlow an inventory of existing tools tagged by technicalities, infrastructure needs and limitations matched to demonstrator use cases' needs gathered by questionnaire; next steps are automation in the Digital Twin of the Ocean context and eventual standardisation.

Why it matters. Tool reuse and sustainability are chronic problems in project-funded biodiversity infrastructure; a lightweight assessment method targets the non-technical barriers of discovery, expertise and adoption.

Key ideas

In the room

  • Tools built 'in a bubble' for specific contexts are difficult to find, reuse and adopt; documentation is often not understood by domain scientists without IT support.
  • Resource and maintenance requirements deter adoption, leading to duplicated solutions and a cycle of prototypes.
  • The approach asks 'what is needed' (purpose, stakeholders, capabilities, maturity) and 'what is available' (solutions, resources), then maps them to reveal gaps.
  • Five steps: define current context; compare capabilities with needs; identify gaps and constraints; match goals to options; check feasibility of implementation, with feedback between steps.
  • In BioDT, a use case guide let teams assess their twin's state and ambition (e.g. whether a dynamic twin is actually needed) before technical decisions.
  • In DTO-BioFlow, existing tools were summarised with keyword tags (technicalities, infrastructure needs, limitations), and demonstrator needs were gathered by structured questionnaire and mapped into thematic areas.
  • Next: make the approach more automated and validated in the Digital Twin of the Ocean / Mission Ocean context (ASR 'Oceanity'), and eventually standardise repeatable patterns.
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Notable moments

In their words

Transcript

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