Data Science and AI Education local interest group at UoL: 3rd meeting notes
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###### tags: `3rd meeting` `Data Science and AI Education UoL`

:::info
- **Call time and day**: Thursday 10th November, 14:00-15:00 (GMT+1)
- **Meeting host**: [Luisa Cutillo](https://eps.leeds.ac.uk/maths/staff/5526/dr-luisa-cutillo)
- **Meeting facilitator**: [Paul Baxter](https://medicinehealth.leeds.ac.uk/medicine/staff/117/professor-paul-d-baxter)
- **Call joining link**: [MS teams meeting](https://teams.microsoft.com/l/meetup-join/19%3aWx2E7m2vOgY7iXT3EY83nZWfH2OhTEt0gIlX_o1DL-81%40thread.tacv2/1666026944963?context=%7b%22Tid%22%3a%22bdeaeda8-c81d-45ce-863e-5232a535b7cb%22%2c%22Oid%22%3a%225059c8a0-43a5-44f0-b487-8ec42fe4bea5%22%7d)
- **Private Github repo**: [DS and AI Education Local Interest Group UoL](https://github.com/luisacutillo78/DS-and-AI-edu-UoL-private)
:::

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# 3rd meeting
## Agenda

:::success
| Agenda | Speaker | Time |
| ------------------------ | ------------------------------- | ----------------- |
| Workshop Outcomes and Staff Survey Discussion | [Luisa Cutillo](https://eps.leeds.ac.uk/maths/staff/5526/dr-luisa-cutillo) | 14:00 - 14:15 | Complete
Intro to Topic Discussion: Interdisciplinary projects | [Luisa Cutillo](https://eps.leeds.ac.uk/maths/staff/5526/dr-luisa-cutillo) | 14:15 - 14:25 | Complete
|Collaborative exercise | Breakout rooms | 14:25 - 14:50 | Complete
| Reflections, discussions and Q&A | Everyone | 14:50 - 15:00 |
:::

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### [Turing Workshop For DS Educators](https://conferences.leeds.ac.uk/dseducators/)
main HackMD with collected answers [link](https://hackmd.io/@Cutillo/SkFEn9Ees)
### LITE Fellowship
Project: "Data Skills Literacy for Educators"
Fellow: [Luisa Cutillo](https://eps.leeds.ac.uk/maths/staff/5526/dr-luisa-cutillo), 0.2 FTE
Sponsor: [Paul Baxter, LIDA Director od Education and Training](https://medicinehealth.leeds.ac.uk/medicine/staff/117/professor-paul-d-baxter)

[LITE website](https://teachingexcellence.leeds.ac.uk/)
### Survey Draft (Ethis application pending) - **Feedback Request**

* [Survey Link](https://leeds.onlinesurveys.ac.uk/draft-staff-data-skills-survey)
* Student Survey in progress
* Coul you send me any feedback by the end of next week?

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### Collaborative exercise on INTERDISIPLINARY PROJECTS (alias *CROSS-DISCIPLINARY*)

*up to 25 minutes in breakout groups of 3-5 people*

#### Group 1
*Please use this space to take notes from your breakout group discussion.*
groups of interdiscipl. projects
- What are interdisciplinary projects?
1. n supervisors from n disciplines
2. 1 supervisor dealing with multiple disciplines
3. 1 supervisor inytroducing data provided by stakeholders

- Can you give an example of interdisciplinary project you have been involved in?
- Yes, clinical data + statististical methods
- Yes, biological data + computational methods
- Yes, chemistry dataset + ML methods
- Yes, AI and Health CDT - high quality, high level
- What challanges are associated to an interdisciplinary project?
- Identifying the gaps in the skills of the student by the supervisor
- Prerequisites
- Communicating across disciplines, understanding the problem
- Learning outcome well defined and redifined after the student have selected the project
- Assessment of these projects
- Specific marking scheme
- if you have different supervisors from different disciplines they will give different marks, which isn't normally what we hope in 2nd marking
- metrics in different disciplines can be quite different, the projects can't just be about optimising with respect to one of them - it will disappoint people that are only looking at one metric

- What are the main advantages associated to an interdisciplinary project?
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- How to deal with the assessment of such projects? What kind of output?
- multiple experts (each for involved disciplines), involvemnet of PhD would benefit them by training in interdisc. research
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- Which departments/disciplines are most suitable to intract on a same complex project?
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- How would you advertise such projects to students? Could they propose variations on the same one?
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- How many students could be assigned to the same interdisciplinary project?
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- How could this kind of project save on staff time?
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- What would you like this group to discuss in the next meetings?
- See previous HackMD
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## Reflections and Q&A

If you have any questions or thoughts, please feel very free to contribute these below:
- Questions/thoughts:

- Links:

- Chat:
- UKRI are trying to define different terms/prefixes for "disciplinary" including cross, trans, inter, multi... Different groups bringing different sides/data to a project would fall under "cross-disciplinary" in their language.