Data Science and AI Educators' Programme: Graduation, Session 1
===

###### tags: `graduation-session-1` `DS-AI-Educators'-Programme`

:::info
- **Call time and day**: Thursday 4 August 2022, 10:00-11:00 (GMT+1)
- **Meeting host**: Ayesha/Malvika
- **Meeting facilitator**: Ayesha/Malvika
- **Call joining link**: https://turing-uk.zoom.us/j/92576736312?pwd=eGIxcVFrd0pqOGlVelpJMGRFOVJ2QT09
- **Github repo**: [DS and AI Educators' Programme GitHub](https://github.com/alan-turing-institute/ds-ai-educators-programme)
:::

**Call recording reminder:**
Please note that this call will be recorded and live streamed to YouTube. Turn on your webcam if you don’t mind being in the video (or off if you do!).

**Participation reminder:**
[Code of conduct & community participation guidelines](https://github.com/alan-turing-institute/ds-ai-educators-programme/blob/main/code-of-conduct.md).If you experience or witness unacceptable behaviour, or have any other concerns, please report them by contacting the organisers - Ayesha, Mishka, Matt or Malvika ([e-mail]).

**Presentation reminder:**
In preparation for the sessions, we ask that you kindly prepare a short, 3-minute presentation about your time on the Data Science and AI Educators’ Programme. Slides are optional. We have prepared a selection of prompts to help you cover some of the information that you might like to share with your peers:
- _What is/are your highlight/s from the programme?_
- _How will you apply some of your learning(s) from the programme to your line of work?_
- _How do you intend to use the programme to impact your community?_
- _How can other participants from the programme collaborate with you/get to know you better once the programme has finished?_

:::success
## Roll call for the Data Science and AI Educators' Programme participants
_Please note that we will use this order for your graduation presentations._

e.g. Name // Social Handles (twitter, GitHub etc) // What are you looking forward to after the graduation session?

1. Greta Timaite (University of Leeds)
GitHub: https://github.com/GretaTimaite
LinkedIn: GretaTimaite
Twitter: @gretatimaite
2. Riddhima Kedia (LinkedIn: https://www.linkedin.com/in/riddhima-kedia)
3. Ryan Reavette (https://www.linkedin.com/in/ryan-reavette/)
4. Dr Adnane Ez-zizi (https://www.linkedin.com/in/adnane-ez-zizi-9b5b8210b/)
5. Dr Funmi Obembe (https://www.linkedin.com/in/funmi-obembe/)
6. Andrew Csizmadia (Linkedin: https://www.linkedin.com/in/andrew-csizmadia-7a1b6531/)
7. Catherine Kidner (https://www.research.ed.ac.uk/en/persons/catherine-kidner)
8. Surangika Ranathunga (https://uom.lk/staff/Ranathunga.S.php)
9.
10.
:::

:::warning
## Roll call for the guests of the Data Science and AI Educators' Programme participants

e.g. Name // Social Handles (twitter, GitHub etc) // What are you looking forward to during this call?

1.
2.
3.
4.
5.
6.
:::

## Programme reflections :film_projector:

Please keep your presentation to 3 minutes :alarm_clock: and add your information in the following format:

### 1. _Data Scientist, UoL // Greta Timaite // _
- **Links/resources that you'd like to share with others.**
- Greta Timaite, Data Scientist (University of Leeds)
- personal website: https://gretatimaite.netlify.app/
- Notes:
- Joined this programme to learn and discuss how to run workshops
- Have build an awareness of veriety of different ideas and approaches
- Exapand an understanding of teaching: taking away the learner centric training, and building learning centric environment
- **How can others help you as you move forward in your role as an educator?**
- Peer metoring experience was great - it was valuable to hear how others approach the same concept and apply differently
-
-
- **Questions and comments from the audience.**
- When will your workshop run and is it open to the public? Are you able to share a link? :smile:
- Workshop is in October: https://2022.stateofthemap.org/sessions/JEXYHK/
https://github.com/udsleeds/openinfra
- @Greta is your organisation non-profit? And do you work with schools/universities to design your curriculums?
- @Adnane I work at the University of Leeds. The workshop is basically part of the OpenInfra project that I am part of. The aim of the project is not teaching per se so it is our initiative. The workshop material will be designed by us, heavily shaped by our experience/knowledge. One of my colleagues do teach a module at a university, so his input in the delivery of the workshop is really valued 🙂Finally, see project repo, if you're interested: https://github.com/udsleeds/openinfra

### 2. _Educator and development manager, Coding and More // Riddhima Kedia // _
- **Links/resources that you'd like to share with others.**
- Educator and Development Manager at Coding and More (AI education for K-12 students)
- https://in.linkedin.com/company/coding-and-more
- https://bit.ly/youtube_codingandmore
- Notes:
- Really liked the beginning of the call with icebreakers
- Content had holistic approach starting from designing workshops, teaching styles and sustainability
- Broad and diverse speakers from different areas e.g. academia
- Really appreciated that the resources are open access so we can go back to
- Chat were very active: participants responded to others questions.
- Access to educator network (slack, education interest group)
- **How can others help you as you move forward in your role as an educator?**
- Open to having other educators/professionals speak to our students online about their work with AI/real world research projects or mentoring students for projects or even conducting short workshops
- Have reflected on asking for instrictor feedback for peer learning and interaction 
- Will make the training materials online for students to access later, use of different technology
- **Questions and comments from the audience.**
- [name=Ayesha] I used to run teacher-led feedback sessions (feedback from teachers for teachers) at the school I worked at. I'm happy to share some of the resources/learnings etc. from that if you'd like, please just reach out after the call :smile:
- [name=Malvika Sharan] Love the holistic reflection. Sharing a set of resources for Enhancing the inclusivity and accessibility of your online calls [Internet]. OSF Preprints; 2020 [cited 2022 Feb 2]. Available from: https://osf.io/k3bfn/.

### 3. Ryan Reavette, Research Data Scientist at the NHS
- **Links/resources that you'd like to share with others.**
- https://www.linkedin.com/in/ryan-reavette/
- Notes:
- Found Carpentries Incubator very helpful
- The discussion about data science in the interface of academia and industry was helpful
- Use of GitHub, Binder, Quarto, HackMD for the programme was good demo of how to use them beyond code
- Works in NHS London, in collab with Bart life Science -- will take away training from here to build capacity
- **Questions and comments from the audience.**
- Really fantatsic to hear about your work and how you might be applying the data science in health, life science and industry collaboration

### 4. Dr Adnane Ez-zizi, Lecturer in AI at the University of Suffolk
- **Links/resources that you'd like to share with others.**
- My University webpage: https://www.uos.ac.uk/people/adnane-ez-zizi
- Personal website: https://www.aezzizi.com/
- Twitter: @Adnane_E1
- Notes:
- Enjoyed the wide selection of topics and resources
- Practical idea that I can integrate in teaching, as well as learning environment for GitHub, Etherpad, Slack
- Participatory coding and scenario based activities/stories will be directly relevant for my work
- Drawing inspiration from Ethics in AI
- Will set up a journal club - teaching tech together
- **How can others help you as you move forward in your role as an educator?**
- Co-designing modules: Introduction to data science and AI with Python, No SQL database
- **Questions and comments from the audience.**
- [name=Malvika Sharan] We are designing a training programme for bioscience on data science: https://github.com/alan-turing-institute/data-training-for-bioscience <-- would love to stay in touch.
- Also on The Turing Way: https://the-turing-way.netlify.app/welcome
- Greta: I work at the University of Leeds. The workshop is basically part of the OpenInfra project that I am part of. The aim of the project is not teaching per se so it is our initiative. The workshop material will be designed by us, heavily shaped by our experience/knowledge. One of my colleagues do teach a module at a university, so his input in the delivery of the workshop is really valued 🙂Finally, see project repo, if you're interested: https://github.com/udsleeds/openinfra

### 5. Newman University Birmingham, Senior Lecturer in Computer Science // Andrew Csizmadia
- **Links/resources that you'd like to share with others.**
- Linkedin: https://www.linkedin.com/in/andrew-csizmadia-7a1b6531/
- Twitter: @apcsizmadia
- Notes:
- Half way through the programme, Andrew retired - but will be going back to teaching part time on ML next year
- Liked the structure/organisation of the programme e.g. GitHub
- Has been encouraged to reflect on how to teach DS and AI
- Impact moving forward: redesigning undergrad modules. Just designed Edge Impulse University resources. Will encourage digital storytelling.
- **How can others help you as you move forward in your role as an educator?**
- Open for collaboration, writing a chapter on big data - will add reflection from this programme as a case study
- Edge Impluse University provide resources for teaching machine learning and deep learning using IoT (https://www.edgeimpulse.com/university)
- **Questions and comments from the audience.**
- Could you share a link to the courses mentioned @Andrew?
- https://www.edgeimpulse.com/university

### 6. Dr Funmi Obembe, Senior Lecturer in Information Systems at De Montfort University
- **Links/resources that you'd like to share with others.**
- University webpage: https://www.dmu.ac.uk/about-dmu/academic-staff/technology/funmi-obembe/funmi-obembe.aspx
- LinkedIn page: https://www.linkedin.com/in/funmi-obembe/
- Notes:
- Reminder of networking and learning from others
- It was refreshing to take the time out to learn about and reflect
- Live coding approach was new and different from what I do
- Enjoyed breakout discussion - allowed networking
- Informal interaction on chat to learn new resources
- It was great to see the use of the resources in the programme that I can take back
- Collaboration between industry and academia was interesting as I work in that space from my own experience.
- Taking the learning to my org to explore data science and AI education and career in spaces I wokr in
- **How can others help you as you move forward in your role as an educator?**
- Ensure that others, both educators and learners, are aware of the latest develpments, pedagogical and research in data science and AI.
- **Questions and comments from the audience.**
- [name=Ayesha] Would love to hear more about the ACM Women's group and how you impact other communities e.g. schools - let's connect afterwards! :heart:
-

### 7. Catherine Kidner (https://www.research.ed.ac.uk/en/persons/catherine-kidner)
- **Links/resources that you'd like to share with others.**
- [Insert link here]
- Notes:
- Really enjoyed the visualisation and data exploration in the context of biology: 
- Peer mentoring was really nice addition, the free flow format was nice to have conversation.
- **Questions and comments from the audience.**
- [Insert questions and/or comments here]

### 8. Surangika Ranathunga, Senior Lecturer, Department of Computer Science and Engineering, University of Moratuwa, Sri Lanka
- **Links/resources that you'd like to share with others.**
- https://uom.lk/staff/Ranathunga.S.php
- https://scholar.google.com/citations?user=TB4RYToAAAAJ&hl=en&oi=ao
- Notes:
- Joined the programme to learn about design and delivery of data science training programme.
- Applying what I learned: live coding, small discussions, learning activities, pedagogical aspects of teaching - Bloom's taxonomy
- Engaging discussions, opportunities to meet others
- Will be teaching the first ever data science education in September - For each module a team of lecturer is assigned who will be shared with the resources
- **Ideas for improvement?**
- A session on research-based teaching (journal club)
- How to evaluate students projects
- **Questions and comments from the audience.**
- Formal guide for AI ethics
- presented: https://turing-commons.netlify.app/, and https://the-turing-way.netlify.app/ethical-research/ethical-research.html
- Would love to collaborate on teaching data science in low tech environment

## Wrap-up and closing remarks :speaking_head_in_silhouette: