---
# System prepended metadata

title: 'Data Science and AI Educators'' Programme: Graduation, Session 2'
tags: [graduation-session-2, DS-AI-Educators'-Programme]

---

Data Science and AI Educators' Programme: Graduation, Session 2
===

###### tags: `graduation-session-2` `DS-AI-Educators'-Programme`

:::info
- **Call time and day**: Thursday 11 August 2022, 3 - 4pm (GMT+1)
- **Meeting host**: Matt/Ayesha
- **Meeting facilitator**: Matt/Ayesha
- **Call joining link**: https://turing-uk.zoom.us/j/99350402372?pwd=RW5IV1RLTnpMZVdpdFBrV2lXdVBJQT09
This link is not working. It takes me to 'Registration is closed page' (Maryleen).
Yeah, same for me.
I used this: https://turing-uk.zoom.us/w/99350402372?tk=4RAsFFjfWeyWq_P19i_7lWjNnqs9oKFGYO_Mz7Eq0AA.DQMAAAAXIb7VRBZFdEszUnBSMlJmYThvY0ZDNHNGMWJRAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA&pwd=RW5IV1RLTnpMZVdpdFBrV2lXdVBJQT09
Thanks, that worked for me
You're welcome
- **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 (skills@turing.ac.uk).

**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. Martin Goodfellow: https://www.linkedin.com/in/martin-goodfellow-01b95946
3. Andrew Moles. GitHub: https://github.com/andrewmoles2 & https://www.linkedin.com/in/andrew-moles/
4. Georgina Dangerfield www.linkedin.com/in/georginadangerfield
5. Kieran Baker https://sites.google.com/site/kieranbakerresources/home
6. Jake Marshall 
https://www.linkedin.com/in/jake-marshall-5b76561b7/
8. Maryleen Amaizu https://www.linkedin.com/in/maryleen/
9. Haya
10. Ogerta Elezaj
:::

:::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. Martin Goodfellow // University of Strathclyde, Director of Undergraduate Teaching/Teaching Fellow in Computer and Information Sciences // martin.h.goodfellow@strath.ac.uk // https://www.linkedin.com/in/martin-goodfellow-01b95946

- **Links/resources that you'd like to share with others.**
    
    Below I've included various educational tools I use to introduce students to topics in data science and AI and hopefully get them interested in these areas:
  - For introducing people to programming: https://blockly.games/maze
  - Education game about bias in AI: https://www.survivalofthebestfit.com/
  - A platform for gathering a human perspective on moral decisions made by machine intelligence, such as self-driving cars: https://www.moralmachine.net/
  - Quickly create ML models: https://teachablemachine.withgoogle.com/
  - Various educational experiments: https://experiments.withgoogle.com/collection/ai
  
I've also included a very useful library for making deep learning more accessible (built on top of PyTorch):
  - https://www.fast.ai/

- **How can others help you as you move forward in your role as an educator?**
  - I'm looking to be more involved in Data Science and AI education research so if you're looking for any collaborators then please get in touch.
  - Share any interesting teaching tools or resources they discover
  - Collaborate on teaching materials
  - Collaborate on developing open source software tools to assist with teaching

- **Questions and comments from the audience.**
  - 
  - Funding for education research
  - SICSE? Sorry SICSA https://www.sicsa.ac.uk/
  - Interested in collaborating on DS/AI research
  - Sharing interesting teaching tools.
  - 


### 3. Andrew Moles // London School of Economics and Political Science. Learning Developer for Data Science Tools // a.p.moles@lse.ac.uk / https://github.com/andrewmoles2 / https://www.linkedin.com/in/andrew-moles/
- **Links/resources that you'd like to share with others.**
  - This is my departments webpage: https://info.lse.ac.uk/current-students/digital-skills-lab
  - For R users, I recommend the [R slack channel](https://twitter.com/R4DScommunity?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor)
  - My favourite data science books are [R for Data Science](https://r4ds.had.co.nz/) and the [ggplot2 book](https://ggplot2-book.org/)
  - If you are more into Python, [Python for Data Analysis](https://wesmckinney.com/book/) is pretty good, as is the [Python for Data Science book](https://jakevdp.github.io/PythonDataScienceHandbook/) 
  - [Quarto](https://quarto.org/) is the new kid on the block when it comes to making reports, presentations, books and such. It is built on R Markdown (an incredible tool), and now you can do R Markdown like things but you don't need R.
- **How can others help you as you move forward in your role as an educator?**
  - To embrace and try out other teaching styles
  - To learn and develop my skills and knowledge in Data Science
  - To help me love Python like I love R (disclosure: this will be a hard sell due to R's data viz capabilities)
  - To share and collaborate on learning materials
- **Questions and comments from the audience.**
  - 
  - 
  - 
  - 
### 4. Georgina Dangerfield// Trainee Data Science Lecturer at the Office for National Statistics
- **Links/resources that you'd like to share with others.**
  - www.linkedin.com/in/georginadangerfield
  - https://datasciencecampus.ons.gov.uk/capability/data-science-graduate-programme/
- **How can others help you as you move forward in your role as an educator?**
  - Keep in touch with our cohort to keep on sharing more useful resources!
  - Collaborate on open source data science training materials
  - If anyone has any information about masters programmes in Data Science that they are involved in, please let me know as I am looking to do 
- **Questions and comments from the audience.**
  - 
  - 
  - 
  - 
### 5. Kieran Baker // PhD Statistics Student, King's College London
- **Links/resources that you'd like to share with others.**
  - https://www.survivalofthebestfit.com/
  - https://education.github.com/
  - kieran.baker@kcl.ac.uk
  - https://www.linkedin.com/in/kieran-baker-ds

- **How can others help you as you move forward in your role as an educator?**
  -  Collaborating on building open source learning materials
      -  University level resources
      -  Introductory courses
      -  Secondary School/College level resources to introduce key concepts
  - Sharing resources! 
- **Questions and comments from the audience.**
  - 
  - 
  - 
  - 
### 6. Jake Marshall // Trainee Data Science Lecturer at the Office of National Statistics// Social media handles
- **Links/resources that you'd like to share with others.**
  - https://www.linkedin.com/in/jake-marshall-5b76561b7/
  - https://datasciencecampus.ons.gov.uk/
  - Some of my favourite Data Science Books - https://www.statlearning.com/
https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/
https://www.tidytextmining.com/
https://wesmckinney.com/book/
https://r4ds.had.co.nz/
https://www.oreilly.com/library/view/deep-learning-with/9781617294433/
- **How can others help you as you move forward in your role as an educator?**
  - To continue to pool together resource and best practice surrounding the topic of educating in this field.
  - Updates when new guidance becomes available in line with the above.
  - Building professional as well as social networks on linkedin and beyond! Would love to get to know you all more.
  - Suggestions for useful open source materials for training in Data Science and AI (more general as well as I'm not in academia).
- **Questions and comments from the audience.**
  - 
  - 
  - 
  - 
### 7. Haya Elayan // University of Leeds, Data Scientist and researcher // 
- **Links/resources that you'd like to share with others.**
 
 Notes:
![](https://i.imgur.com/x9ZuSls.png)
- Collaborated with Riddhima from the programme

- **How can others help you as you move forward in your role as an educator?**
  - a
  - 
  - 
- **Questions and comments from the audience.**
  - I love that you collaborated with a fellow peer and that you enjoyed leading on an AI session for children. 
  - 
  - 
  - 
### 8. Maryleen Amaizu // Neuromatch Academy Co-Chief professional development officer // (https://www.linkedin.com/in/maryleen/) 
- **Links/resources that you'd like to share with others.**
  - My organisation Neuromatch Academy open-source materials - Computational Neuroscience https://compneuro.neuromatch.io/, Deep Learning https://deeplearning.neuromatch.io/
  - 
  - 
- **How can others help you as you move forward in your role as an educator?**
  - Suggestions for speakers and communities to collaborate with in Neuromatch Academy professional development
  - Best practices, tools and recommendations for end to end development of courses and managing training programmes
  - Approach for iterative skills assessment woven throughtout training lifecycle
  - Ideas and collaboration for bridging AI and Data skills gap in developing countries
- **Questions and comments from the audience.**
  - 
  - 
  - 
  - 
### 9. Name // Institute and role // Social media handles
- **Links/resources that you'd like to share with others.**
  - Ogerta Elezaj, Lecturer in Computer Science,Birmingham City University, 
  -  ogerta.elezaj@bcu.ac.uk
  - https://www.linkedin.com/in/ogerta-elezaj-71251115/
  - 
 Notes:
![](https://i.imgur.com/lA5LOOM.png)
![](https://i.imgur.com/tlsrl22.png)


- **How can others help you as you move forward in your role as an educator?**
  - Embrace new teaching experiences
  - Improve my skills and knowledge
  - Work on generating solutions with like-minded peers/networking
  - Co-designing modules: Computer Programming with Python, Modern Data Stores and Social Media Analytics and Visualisations
- **Questions and comments from the audience.**
  - Do you have a timeline for your course on AI fairness on social media? Please share it with us when the course is ready :smile: 
  - 
  - 
  - 

 
## Wrap-up and closing remarks :speaking_head_in_silhouette: 
![](https://i.imgur.com/pUoMjsU.jpg)


