---
# System prepended metadata

title: 'Data Science and AI Education local interest group at UoL: 3rd meeting notes'
tags: [3rd meeting, Data Science and AI Education UoL]

---

Data Science and AI Education local interest group at UoL: 3rd meeting notes
===

###### 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)
:::

<br />
<br />
<br />
<br />
<br />

# 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  | 
:::



---

### [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?

---

### 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?
    - 
    - 
    - 
- 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
    - 
    - 
- Which departments/disciplines are most suitable to intract on a same complex project?
    - 
    - 

- How would you advertise such projects to students? Could they propose variations on the same one?
    - 
    - 
    - 

- How many students could be assigned to the same interdisciplinary project?
    - 
    - 

- How could this kind of project save on staff time?
    - 
    - 
    - 
- What would you like this group to discuss in the next meetings?
    - See previous HackMD
    - 
    - 







## 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.