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

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 (training@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. 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/ // cfischer@turing.ac.uk // 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: --- ### 1. Role // Institute // Name - **Links/resources that you'd like to share with others.** - ... - - Notes: - .. - - - - **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. - - **Questions and comments from the audience.** - ... - - --- 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 - - - **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.** - ... - - --- ### 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 - - - **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 - - **Questions and comments from the audience.** - ... - - --- ### 4. Role // Institute // Name - **Links/resources that you'd like to share with others.** - ... - - Notes: - .. - - - - **How can others help you as you move forward in your role as an educator?** - ... - - - **Questions and comments from the audience.** - ... - - --- ### 5. Role // Institute // Name - **Links/resources that you'd like to share with others.** - ... - - Notes: - .. - - - - **How can others help you as you move forward in your role as an educator?** - ... - - - **Questions and comments from the audience.** - ... - - --- ### 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 - - **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.** - ... - - --- ### 7. Guest Teacher // London School of Economics // Andreas Stöffelbauer - **Links/resources that you'd like to share with others.** - ... - - 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 - - **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) - - - **Questions and comments from the audience.** - ... - - --- ### 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 - - - **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 a.babtie@exeter.ac.uk (my particular interest is teaching data science in the context of biomedical education; often to those without much quantitative or coding experience) - - **Questions and comments from the audience.** - ... - - --- ### 9. Role // Institute // Name - **Links/resources that you'd like to share with others.** - ... - - Notes: - .. - - - - **How can others help you as you move forward in your role as an educator?** - ... - - - **Questions and comments from the audience.** - ... - - --- ### 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 - - Notes: - new Data Science Pogram at an HBCU - - - - **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 - - - **Questions and comments from the audience.** - Looking to partner with other instititions on social justice data projects - Looking for an adjuct to teach SQL - --- ### 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/ - - **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 - - - **Questions and comments from the audience.** - ... - - --- ### 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? - - **Questions and comments from the audience.** - ... - - --- ### 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.** - ... - - --- ### 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) --- ### 15. Role // Institute // Name - **Links/resources that you'd like to share with others.** - ... - - Notes: - .. - - - - **How can others help you as you move forward in your role as an educator?** - ... - - - **Questions and comments from the audience.** - ... - - --- ## Wrap-up and closing remarks :speaking_head_in_silhouette: ![](https://hackmd.io/_uploads/HJQkinDcn.png)