---
# System prepended metadata

title: '''Crafting Digital Twins'' Seminar Series - Dec 14'
tags: [seminar series]

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# 'Crafting Digital Twins' Seminar Series


:::info
**Today's Topic: Research Roundup**
Date & Time: 2pm, hybrid at Alan Turing Institute, Margaret Hamilton Meeting Room
Zoom Link: [Here](https://eur01.safelinks.protection.outlook.com/ap/t-59584e83/?url=https%3A%2F%2Fteams.microsoft.com%2Fl%2Fmeetup-join%2F19%3Ameeting_NjgzMGNiNGYtMjg5ZS00ZTVjLWE4MGQtYjBlNjRhYWY0YTRi%40thread.v2%2F0%3Fcontext%3D%257B%2522Tid%2522%3A%25224395f4a7-e455-4f95-8a9f-1fbaef6384f9%2522%2C%2522Oid%2522%3A%252270bc8ec4-6733-497e-9c2a-a2fd7c6a7a06%2522%257D&data=05%7C01%7Csarana%40turing.ac.uk%7C0efdba93509645bd8dda08dbf4d3c0c8%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C638372962734696386%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=zTdOmd8KpN9%2Bu%2FqRnWDNYho%2FIhouPYr2TOOFppxo%2BaE%3D&reserved=0)
:::


**What?** [TRIC-DT Seminar Series](https://github.com/alan-turing-institute/tric-dt/tree/main/Seminars) is an interdisciplinary platform for [TRIC-DT](https://www.turing.ac.uk/research/research-projects/tric-dt) researchers & friends to **share and discuss the computational methods, algorithms, and models that underpin Digital Twin technology across diverse fields**.


**When?** Thursdays afternoon (aiming for 1 or 2pm) Europe/London 

**Who?** ***Everyone** intersted in digital twin research*

:::info
***If you don't receive email announcements about those seminars (start with [TRIC-DT Seminar Series] in subject matter - get in touch to be added to our mailing list!!!***

---> digitaltwins@turing.ac.uk
:::

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## Welcome, introduce yourself!

**Name + Pronouns + your affiliation + your research area + an emoji ([emoji cheatsheet](https://github.com/ikatyang/emoji-cheat-sheet/blob/master/README.md))**
    
*(Remember that this is a public document. You can use a pseudonym if you'd prefer.) Use the 🤫 emoji if you would not like to be included in our public archive*
* **In-person**: [name=Sophie Arana] (TRIC DT Hub),
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* 
* 
* **Remote**: [name=Kalle Westerling] (TRIC DT Hub) + he/they + The Alan Turing Institute + research application manager + :checkered_flag: 
* 
* James Byrne + he/him + British Antarctic Survey + Digital Infrastructure & Innovation + :gear: 
* 
* 
* 
* 
* 
* 
* 

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### Seminar Schedule


| Date       | Time  | Topic | Room   | Speakers          |
|------------|-------|-------|--------|-------------------|
| 2023-12-14 | 14:00 | Research Roundup | Margaret Hamilton Meeting Room  | all     |
| 2024-02-?? | 13:00 | Data ingress | Remote (Zoom) | tbc    |
| 2024-03-28 | 13:00 | Dynamic Knowledge Graphs | Remote (Zoom) | [Xiaoxue Shen](https://digitwin.ac.uk/team/xiaoxue-shen/)    |



## Agenda

| Time | Activity |
| ---- | -------- |
| 5 mins | Welcome & Updates |
| 20 mins | Natural Environment (Ben Evans, Jonathan Smith, Martin Rogers, James Byrne) |
| 20 mins | Health (Marina Strocchi, ? , ?, ?) |
| 10 mins | Infrastructure (Ziad Ghauch & Xiaoxue Shen) |
| 15 mins  | Questions to audience |

## Q&A

### Questions for themes

**Natural Environment**
* what is the timescale of icebergs? 
    * weeks to years [static objects make this varied]. (compare to milliseconds/microseconds for heart)
* how can you tell which part of the iceberg? intensity of object? colour?
    * our segmentation can tell different tissues from intensity of colour.
    * sat radar = icebergs are bright scatters into two polarisations of back scatter. we're not looking at individual level. we;d like to be able to track child objects from a broken iceberg.
* availability of training data for satellite data?
    * in health, data is not the problem.
* 2d, not 3d?
    * yes, no depth in the data we use
* How do the physics-based dynamics of ocean currents feed into iceberg tracking model?
* can the models be used to track oil spills in the ocean?
* is the under-water continuation of icebergs not a problem?
* How far in the future can you predict given the input data. Don't you need very recent data?

**Health**
* availability of products for operational use?
    * (compared: we have individual pipelines currently)
    * (how do we assess the impact of those tools?)
* 

**Infrastructure**
* 
* 
* 


### General Discussion
_What format would you like the Seminar Series to have?_
* internal theme talks
* external speaker? or a mix?
* Journal club? - not favoured
* more hands-on collab sessions?
* Health: more in person sessions!!

_Suggestions for topics & speakers?_
* potential overlap with tracking icebergs and tracking cells / blood clots
* deep learning models are used to track heart movement, could potentially overlap with tracking of iceberg break-up and 
* availability of training data for satellite data / deep learning models trained on imagery?
* image processing problems
* pipelining features into a system that learns things about bigger things.
* what is a digital twin? (we all want to build something transferrable rather than something isolated) --> library of metadata about modules that people are building. Interfaces built for them. “Do cardiac guys already have this? We can reach out to them then!
* if I worked where I work today, but 20 years from now - what would that look like? what do I do?” --> could give us a north star for where we’re going.
* interest from health group to have session on knowledge graph
* Segmentation & Motion tracking algorithms
    * main difference about segmentation is that cardiac group knows the geometry of the heart in contrast to icebergs
    * but other examples from health that might fit better: on tracking movement of blood clots using fluid dynamics models (Marina mentioned talk on this?)
    * threshold-based segmentation 
    * In cardiac twin: segmentation purely deep learning based on a lot of labeled data. For icebergs, labeled data is scarce. 
* Emulators: Parameterization estimation & prediction
* Gaussian modelling
* Explainability:
    * not so necessary for the segmentation as this can be visually checked
    * image processing for direct prediction (eg clinical trials), that's when explainability could help
* emulators: interaction between parameters is captured in graph models (part of emulator pipeline) to inform treatment decisions / drug trials
* knowledge graphs: rosehips (Keith worden)
* interest from health group to have session on knowledge graph

_What frequency would you attend the Seminar Series at?_

* consensus: can be less often if in-person
* ”just getting in the same room with some downtime is a good place to start.“



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### Link List ✨ 

#### All Slidedecks & past recordings
* Nov 23rd - Emulators: [Recroding](https://thealanturininstitute-my.sharepoint.com/:f:/g/personal/sarana_turing_ac_uk/EqJlp-4ukL5FqcNW3mx5t9sBBMhMdDEpwn3ZB2Zq9R8Mdw?e=NnK9R9) & [autoemulate slidedeck](https://zenodo.org/records/10174843)

#### General links
* [TRIC-DT website](https://www.turing.ac.uk/research/research-projects/tric-dt)
* [Seminar series page](https://github.com/alan-turing-institute/tric-dt/tree/main/Seminars) and [suggested topics](https://github.com/alan-turing-institute/tric-dt/issues?q=is%3Aopen+is%3Aissue+label%3A%22seminar+series%22)
* [TRIC-DT Glossary](https://hackmd.io/npUXO9llSDqagVM3SntR_w)
* [HackMD guide](https://hackmd.io/@turingway/hackmd-guide)

### Code of conduct

* [Take a moment to read this](https://www.turing.ac.uk/events/policies-and-guidelines)

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