# Skills Policy Awards Inductions - 27 March 2023

[TOC]

## Agenda
| Item | Time |
| -------- | -------- |
| Welcome | 10:00 |
| Awardee project updates | 10:30 |
| Mentor introductions| 11:30 |
| Lunch | 12:00 |
| Ways of working and stakeholder mapping | 13:00 |
| Skills Team Introductions | 15:00 |

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## Notes
Collaborative document for note taking - please edit/scribble/link as you see fit!

### Welcome :hammer_and_pick:

- Icebreaker activity

### Awardee project updates :open_file_folder:
*5-10 min project introductions and Q&A from Skills Policy Awardees and Q&A.*

- [name= Panos]
- Turing Fellow since QMUL joined Turing. Member of the Skills Group at the Turing.
- Senior Lecturer in Information Management. Research focused on data in organisations including government.
- Working on data capabilities in organisations and data readiness.
- MF action: Introduction to Office for AI skills framework development team.

- [name= Emma]
- Senior Community Manager at Turing. Turing Way Core Team.
- Address research gap on role descriptors for data science infrastructure roles

- [name= Eilis]
- Genetics / biohealth / mat
- Based in Medical school. Diversification to data science education.
- EPSRC RSE Fellow - project of work about being an ambassador for better software in research, upskilling researchers in undertaking this work.
- Project: grown from local observation. Exeter DS education activity across full spectrum of disciplines. Not just preserve of Maths and Comp. Uni structure means modules and programmes are developed in-house with very little cross-talk - difficult to share best practices.
- MF action: Introduction to POST colleagues interested in pedagogy across disciplines.
- Widening participation
- Domain stereotypes.
-

- [name= Yo]
- Runs an academia-adjacent not for profit, Open Life Science
- Focus on open* research.
- *Responsible open which does not take away sovereignty.
- Currently pursuing doctorate.
- Importance of community in open work - helping people to build communities and learn soft skills.
- Focus: widening participation
- Always easy to circulate a call and attract applicants from people with very similar backgrounds.
- Very important to attract people with different levels of ability and different backgrounds.
- One fellow: Belonging and imposter syndrome.
- Another fellow: Socio-political quant background.

### Mentor introductions :thought_balloon:
*5 min introductions and Q&A from prospective mentors / support stakeholders.*

- [name= Rachel Hilliam]: Professor of Statistics (Open University), Vice-President Professional Affairs RSS (Acceditation and Uni Courses), The Alliance for Data Science Professionals (developing and launching chartered status for data scientists and professionals).

- [name= Sue Turner]: 50% not for profit, 50% private background. Frustrated that data is trapped in silos, background in non-STEM subjects / taken data science conversion masters.

- [name= Cath Sleeman]: Head of Data Science at Nesta, focus on improving labour market information in closing skills gaps, identifying gaps e.g. pathways/movement between careers. Open Jobs Observatory - scraping job ads daily. 3 strands at Nesta (healthy life, a fairer start, sustainable future).

- [name= Vera Matser]: Head of Skills, The Alan Turing Institute

- [name= Matthew Forshaw]: Turing secondment to Data Skills Taskforce, gain policy experience.

### Ways of working :person_doing_cartwheel:
*Project housekeeping and co-creating and collaborate on best practices for working together.*

#### Code of conduct
- Transparency
- Generosity of spirit
- Information sharing
- Confidentiality of conversations / sharing contact details etc
- Fluid profile of commitment to the awards
- Respectful of personal time commitments
- Flexibility in travel
- Hybrid (always virtual option)

#### Communication channels and styles of communication
- GitHub repository: reporting template
- Slack channel: #skills-policy-awards
- Email: actions / 'hard' deadlines
- Slack: asnych pings

#### Mentor meetings
- 1 x hour per month
- Mentee to arrange w/ mentor
- BN to compile resources for effective mentoring

#### Skills Team meetings
- 1 full hour or 2 x 30-mins?
- Monday 15:00 - 17:00
- Thursday 09:00 - 11:00

#### Data Skills Taskforce meetings:
- Awardees / mentors are members of the Data Skills Taskforce during the award
- 16 May 2023 - Professionalisation
- 18 September 2023 - Widening Participation
- January 2024 (TBC)

### Project scoping :pencil2:
https://miro.com/app/board/uXjVMZN62LE=/

#### Identifying and mitigating research gaps

#### Mapping stakeholders
- Unit for Future Skills

#### Complementary overlap between projects
- Imposter syndrome from role descriptors / job descriptions
- Community building
- Professional bodies / institutions

### Skills Team intros :sparkle:
*Learn more about Skills Team members and their projects.*

1. Mishka Nemes - [Overview of the Skills team remits, ethos and strategy](https://www.turing.ac.uk/opportunities/skills)
1. Harriet McCann - Turing Research Fellowship Programme
1. Sarah Nietopski - [Online Learning Platform](https://www.turing.ac.uk/courses)
1. Ayesha Magill - [Data Science & AI Educators Programme](https://www.turing.ac.uk/data-science-and-ai-educators-programme)