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By Bia and Zoey
5
11 ratings
The podcast currently has 8 episodes available.
How do dating apps work? And what are your thoughts on them? In this episode, Zoey shares how collaborative filtering works in dating apps such as Tinder, but also in Amazon. Bia shares how Hinge uses the Gale-Shapley algorithm (whilst butchering the pronunciation) to find your most compatible match. They discuss thoughts people shared via Instagram.
Further details of the maths and algorithms are shared via Instagram/ their website.
Time stamps:
0:47 – Collaborative filtering
13:55 – Gale Shapley algorithm
19:04 – Are dating apps are good/bad thing? Thoughts of Instagram followers
28:48 – Who do dating apps favour/ hinder? Thoughts of Instagram followers & some personal stories
Website: www.how2robabank.com
Instagram: @how2robabank
Twitter: @how2robabank
Email: [email protected]
Links:
Hinge uses Gale-Shapley algorithm: https://www.theverge.com/2018/7/11/17560352/hinge-most-compatible-dating-machine-learning-match-recommendation
Judith DuPortail’s article:
https://www.theguardian.com/technology/2017/sep/26/tinder-personal-data-dating-app-messages-hacked-sold
Interracial dating online:
https://psycnet.apa.org/record/2014-02726-002
In light of International Women's Day 2021, Zoey and Bia interview Nina Chhita, a medical writer based in Canada. Nina brings together art and science by illustrating trailblazers in science who happen to be women.
00:10 Introduction
00:42 What has been the reaction to your work as a science communicator?
02:09 Quick fire quiz
03:15 What does it mean to be a medical writer?
05:31 Did you always want to study biology when you were younger?
08:10 Who were your role models growing up?
11:39 Which blue plaque story led to @science.unhinged and @nina.draws.scientists?
14:59 What was it about Rosalind Franklin that drew you to her story?
16:15 How do you get inspiration for the scientists you illustrate now?
18:26 How easy is it to find misinformation about less well-known women?
20:30 Which scientist you've illustrated has been most fascinating to you?
23:42 Has anything surprised you on this journey of science communication?
26:26 What are ways we can feature women in science to be more mainstream?
32:40 What would you change about the current curriculum to encourage girls to take more STEM-based subjects?
33:40 How much more progress do we need in the future and how do you think we can get there?
35:34 What makes a good scientist in your opinion?
37:45 What is planned next for nina.draws.scientist?
Connect with Nina Chhita on Instagram @nina.draws.scientists and on Twitter @Nina_Chhita
In this episode, Zoey and Bia answer questions submitted by listeners. These include what inspired them to make the podcast, Instagram page and blog, why a common person should learn maths, and how hard it is to get good at it.
Timestamps:
00:36 What inspired you to make this page and podcast?
02:00 Who are we?
02:49 How did we meet?
03:37 What inspired you to take maths at university?
04:38 What advice would you give yourself if you could go back in time 10 years?
05:25 What advice would you give to young girls who want to pursue STEM (Science, Technology, Engineering and Mathematics)?
06:30 Why do you think a common person should learn maths?
09:39 How hard is it to get good at maths?
12:40 What is missing from elementary school maths syllabus that would make maths more fun?
14:13 Are mathematical models underrated or overrated?
16:37 Do you have any maths book recommendations?
18:10 Does it annoy you that people think you are men online?
20:18 From your experience, what have you learnt about communicating maths ideas online?
Useful links:
https://www.opendemocracy.net/en/5050/these-women-are-using-instagram-celebrate-unsung-women-science/
Zoey and Bia discuss what zombie statistics are, why it's hard for zombie statistics and facts to die and whether it is right for a wrong statistic to be cited even if it produces positive effects.
Introduction
Quiz and answers discussion
General discussion
Useful links:
Bia and Zoey discuss some of the key mathematical concepts in voting, focusing on political elections in some Western countries, as well as Brexit.
Introduction
Arrow’s Impossibility Theorem & Instagram poll
Brexit
General discussion
The future of voting
80% of voters are strategic: "Counting Votes Right: Strategic Voters versus Strategic Parties, Filippo Mezzanotti and Giovanni Reggiani" http://economics.mit.edu/files/11177
Zoey and Bia discuss some of the mistakes that Ofqual made in their algorithm, how using “complicated” maths is not necessarily better, and share some anecdotes of their experiences with teachers and dealing with (un)conscious bias.
Timestamps
Useful links:
Known for its controversy, The Monty Hall Problem was popularised through a newspaper column called Ask Marilyn. In this episode, we discuss how probability can help us make a decision in The Monty Hall Problem as well as more generally. We also try to define the “wrong decision” and the circumstances under which we might regret our choices. Does the outcome of your decision imply how good it was in the first place? Later on, we briefly venture into numbers and how our minds don't always perceive things correctly. Finally, we discuss The Two- Envelope Paradox and how the assumptions we make can lead us to the wrong conclusions.
Useful links to understanding The Monty Hall Problem:
The Envelope Problem explained:
This episode was recorded on 16th June 2020.
The podcast currently has 8 episodes available.