Data Science and AI Educators' Programme: Graduation, Session 3
===

###### tags: `graduation-session-3` `DS-AI-Educators'-Programme`

:::info
- **Call time and day**: Wednesday 19 July 2023, 12:00 - 13:00 (GMT+1)
- **Meeting host**: Mishka
- **Meeting facilitator**: Mishka
- **Zoom link**: https://turing-uk.zoom.us/j/92804505378?pwd=b205YSt3MWYvS3hCVVVTc202Zk1HUT09
- **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 uploaded 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 or Matt ([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. Israel Odeajo// github.com/israelkingz //ability to teach data science to my learners as basic as possible
2. Samantha Ahern //@2standandstare // using what I learnt to feed into courses we are developing and the educator development plan
3. Thao Ngoc Do//(https://www.linkedin.com/in/thao-ngoc-do-933abb18/) (https://thaongocdo.net/)// developing curriculum to teach DS & AI for NGOs workers
4. Wairimu Macharia // LinkedIn: https://www.linkedin.com/in/wairimumacharia/, Twitter: @nimomacharia My company: https://ke.linkedin.com/company/fringe-graph Incorporating learnings into my data literacy trainings
5. Moe Elbadawi//Linkedin - dr-moe-elbadawi// looking forward to implementing as much as possible
6. Gule Saman//www.linkedin.com/in/gule-saman-389b9ba1// embed ethics as a componnet into our courses. Think about timing of a session while considering student engagement
7. Andreas Stöffelbauer // https://www.linkedin.com/in/andreas-stoeffelbauer // teaching data science to undergrads from wide ranges of disciplines
8. Ann Babtie//https://www.linkedin.com/in/ann-babtie-282a4a49, @annbabtie/// Incorporating some of the things I have learned into existing teaching as well as designing new classes next year
9. Douglas Ng (pronunced -ing like walking) // https://www.linkedin.com/in/douglascng/ // Looking forward to continuing to stay connected with this community.
10. Amy Quarkume// https://www.linkedin.com/in/amy-yeboah-quarkume-ph-d-21bb8568/ // new partnerships, teaching new ethics course and launching CORE futures lab.
11. Cami Rincon // www.linkedin.com/in/cami-rincón-2bb964119 // Having a more detailed understanding of how to tailor training curriculum to the needs of learners/ having a broader nerwork of AI educators.
12. Mojgan Hashemian // @mojgan1987 | https://www.linkedin.com/in/mojgan-hashemian/ // Practice the highlights from these sessions in my teaching roles.
13. Clau Fischer // https://www.linkedin.com/in/claudiafischerkatz/ // [e-mail] // Trialling a train the trainers approach with the Turing Commons materials
14. Trush Majmudar: Incorporating DS/ML/AI in my teaching along with Math. Contact: https://www.linkedin.com/in/trush-majmudar-03409a13/
16. Julia Brettschneider
17.
18.
:::

## Programme reflections :film_projector:

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

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### 1. Role // Institute // Name
- **Links/resources that you'd like to share with others.**
- ...
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- Notes:
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- **How can others help you as you move forward in your role as an educator?**
- ...
- Linking me with opportunities as a data science coach or educator.
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- **Questions and comments from the audience.**
- ...
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m
### 2. Senior Digital Research Trainer // UCL // Samantha Ahern
- **Links/resources that you'd like to share with others.**
- [Book: How Learning Works](https://www.amazon.co.uk/How-Learning-Works-Research-Based-Principles/dp/1119861691)
- [Book: Automating Inequality, Virginia Eubanks](https://amzn.eu/d/iUGnxUW)
- [Book: Race After Technology, Ruha Benjamin](https://www.ruhabenjamin.com/race-after-technology)
- [Book: Teaching to Transgress, bell hooks](https://www.routledge.com/Teaching-to-Transgress-Education-as-the-Practice-of-Freedom/hooks/p/book/9780415908085)
- Notes:
- Really enjoyed the breakout sessions and reading chat comments
- Good to hear others views, ideas and discuss
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- **How can others help you as you move forward in your role as an educator?**
- By providing peer observation and feedback
- Team teaching
- Co-development of courses and materials
- **Questions and comments from the audience.**
- ...
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### 3. PhD student & PhD Enrichment student // University of Bath- Alan Turing Institute // Thao Ngoc Do
- **Links/resources that you'd like to share with others.**
- Human rights in Ethical AI: AI Governance by Human Rights-Centred Design, Deliberation and Oversight https://observatoire-ia.ulaval.ca/app/uploads/2021/02/ai-governance-by-human-rights-centered-design.pdf
- AI & the global South: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3403010
- The Artificial Intelligence (AI) Suitability Toolkit for Nonprofits - https://nethope.org/toolkits/the-artificial-intelligence-ai-suitability-toolkit-for-nonprofits/
- Participatory AI framework: https://oecd.ai/en/catalogue/tools/participatory-ai-framework
- Our Development libraries platforms - https://share4vndev.org/en/ // https://www.facebook.com/share4vndev

- Notes:
- Many useful resources
- Enjoy the conversation in break-out rooms. nice to hear everyone's experiences
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- **How can others help you as you move forward in your role as an educator?**
- Feedback on the curriculum/materials
- Continue sharing resources as a group
- Co-teaching/facilitating sessions
- Attend other's teaching sessions
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- **Questions and comments from the audience.**
- ...
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### 4. Role // Institute // Name
- **Links/resources that you'd like to share with others.**
- ...
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- Notes:
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- **How can others help you as you move forward in your role as an educator?**
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- **Questions and comments from the audience.**
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### 5. Role // Institute // Name
- **Links/resources that you'd like to share with others.**
- ...
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- Notes:
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- **How can others help you as you move forward in your role as an educator?**
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- **Questions and comments from the audience.**
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### 6. Assistant Professor // Heriot-Watt University Edinburgh // Gule Saman
- **Links/resources that you'd like to share with others.**
- [...](https://www.scu.edu/media/ethics-center/technology-ethics/IntroToDataEthics.pdf)
- https://www.moralmachine.net/
- https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=3
- Notes:
- enjoyed the break out sessions ad chat discussions
- I am looking forward to integrating ethics in most courses on the programme
- Enjoyed the mentoring sessions
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- **How can others help you as you move forward in your role as an educator?**
- co-creation of courses
- invited talks
- Making data science accessible to the masses and under priveleged
- Feedback on teaching
- **Questions and comments from the audience.**
- ...
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### 7. Guest Teacher // London School of Economics // Andreas Stöffelbauer
- **Links/resources that you'd like to share with others.**
- ...
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- Notes:
- no teaching experience yet, would have started completely unprepared
- highlights: mental models and non-cognate disciplines
- also want to become an educator at Microsoft, doing work around LLMs and AI, eg writing a blog post currently
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- **How can others help you as you move forward in your role as an educator?**
- sharing best practices - I have no experience yet, so unsure what to expect sometimes (did a similar MSc, but BSc may be different)
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- **Questions and comments from the audience.**
- ...
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### 8. Lecturer // University of Exeter // Ann Babtie
- **Links/resources that you'd like to share with others.**
- Article "The why, when and how of computing in biology classrooms" https://f1000research.com/articles/8-1854/v2
- Article "A guide to teaching data science - Hicks & Irizarry" https://www.tandfonline.com/doi/full/10.1080/00031305.2017.1356747
- Article collection "Statistics for Biologists" - Nature (a great collection of short articles about various statistics topics, designed to be thorough but accessible to non-mathematicians) https://www.nature.com/collections/qghhqm
- Book and accompanying data resource: "Open Case Studies" - collection of data sets and case studies used for teaching at John Hopkins https://www.opencasestudies.org/OCS_Guide/index.html
- Notes:
- Enjoyed hearing other perspectives and experiences
- Ideas of new resources to explore, both examples that I can adapt for teaching, as well as to improve my own technical skills
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- **How can others help you as you move forward in your role as an educator?**
- Continue sharing useful resources as a group
- Happy to be contacted via linked in or [e-mail] (my particular interest is teaching data science in the context of biomedical education; often to those without much quantitative or coding experience)
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- **Questions and comments from the audience.**
- ...
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### 9. Role // Institute // Name
- **Links/resources that you'd like to share with others.**
- ...
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- Notes:
- ..
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- **How can others help you as you move forward in your role as an educator?**
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- **Questions and comments from the audience.**
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### 10. Associate Prof Africana Studies & Data Science Director // Howard University // Amy Yeboah Quarkume
- **Links/resources that you'd like to share with others.**
- datascience.howard.edu
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- Notes:
- new Data Science Pogram at an HBCU
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- **How can others help you as you move forward in your role as an educator?**
- Links to datasets that are opensource and representative
- Funding sources for CORE futures lab
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- **Questions and comments from the audience.**
- Looking to partner with other instititions on social justice data projects
- Looking for an adjuct to teach SQL
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### 11. Research Application Officer // The Alan Turing Institute // Cami Rincon
- **Links/resources that you'd like to share with others.**
- https://www.turing.ac.uk/news/publications/understanding-artificial-intelligence-ethics-and-safety
- https://alan-turing-institute.github.io/turing-commons/welcome/
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- **How can others help you as you move forward in your role as an educator?**
- Sharing examples of succesfull 'train the trainer' operational models
- Sharing other examples of scalable operational models
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- **Questions and comments from the audience.**
- ...
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### 12. Post-Doc // University of Bradford // Mojgan Hashemian
- **Links/resources that you'd like to share with others.**
- If you are teaching Data Science to non-technical audience, I find the videos here in a simple language and understandable for people with no background in CS: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw

- **How can others help you as you move forward in your role as an educator?**
- keep in touch, and share their experience using what we have learned during this program, and compare the results with previous experience when we were not aware of.
- Reference for the Higher Education Academy?
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- **Questions and comments from the audience.**
- ...
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### 13. Researcher in AI Ethics and Policy // The Alan Turing Institute // Claudia Fischer
- **Links/resources that you'd like to share with others.**
- [Turing Commons website](https://alan-turing-institute.github.io/turing-commons/welcome/)
- [Turing Commons Gallery of Illustrations](https://alan-turing-institute.github.io/turing-commons/resources/gallery/)
- Notes:
- **How can others help you as you move forward in your role as an educator?**
- Keep in touch and share what has worked and what has not when teaching.
- Sharing examples of successful 'train the trainers' use cases.
- Sharing methodologies for scaling training materials to different audiences
- **Questions and comments from the audience.**
- ...
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### 14. Associate Professor (Reader) in Applied Statistics/Data Science // Statistics Department, University of Warwick // Julia Brettschneider
- **Links/resources that you'd like to share with others.**
- Pioneer large scale class in data science for non-mathematical majors, highly recommended, starting point: http://www.data8.org
- Excellent online book by veteran stats and data science teacher Ani Adhikari: https://aniadhikari.org/Books/index.html
- Notes:
- **How can others help you as you move forward in your role as an educator?**
- Sharing material about data science teaching: lesson plans, curriculum, homework assignments, project assignment, quizzes, use cases for ethics, teaching datasets, evaluation schemes etc.
- **Questions and comments from the audience.**
- I hope may people will stay in touch via LinkedIn (a box in the evaluation form mentioned this)

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### 15. Role // Institute // Name
- **Links/resources that you'd like to share with others.**
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- Notes:
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- **How can others help you as you move forward in your role as an educator?**
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- **Questions and comments from the audience.**
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## Wrap-up and closing remarks :speaking_head_in_silhouette: