59 Min.
Can tech and culture work together to create meaning and question data? Aurore Paligot – Episode 9 Not Loud Enough Podcast
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- Tagebücher
In this episode, social and data scientist Aurore Paligot shares her fantastic journey of becoming a data scientist after studying literature and getting a Ph.D. in linguistics first. Using examples from her various work, Aurore tells us why is important to bring together various disciplines to inform and give context when creating data, and to create inclusivity. She explains what data is and who creates it, the of role data visualisation, and what the Tada manifesto does for ethical and responsible use of data.
You may also hear us talking about inclusion in sign language, the concept of the magic glove, AI and societal values we embed into AI, and data feminism.
Alongside examples of exciting projects and collaborations Aurore is working on in her free time, as she tries to understand how using social media data can inform us about how citizens live in smart cities; how data helps us understand the ecosystem of a place to build something with it; how we live in the city in times of pandemics and experience the emptiness of the city, and what is the representation of the city from inside.
Aurore Paligot is a linguist turned data specialist whose focus is to deliver meaningful insights and human-centric visualisations. Her research interests currently lie at the intersection between Tech and Social Sciences and part of her free time is spent exploring Digital Humanities. She is also a R-Ladies enthusiast and a keen Tableau developer.
Aurore holds a Ph.D. in linguistics from the University of Namur (Belgium) and a specialisation in Advanced Analytics and Machine Learning from the Ubiqum Code Academy (The Netherlands). She has more than eight years of experience working with qualitative, quantitative and experimental research methods and is currently working as a Data & Analytics Consultant at Positive Thinking Company. You can connect with Aurore on LinkedIn at https://www.linkedin.com/in/aurorepaligot/ and Twitter @AurorePaligot
Show Notes and Links:
Aurore Paligot’s website: http://aurore.rbind.io/projects/
Book: Data Feminism by Catherine D'Ignazio and Lauren F. Klein: https://mitpress.mit.edu/books/data-feminism
Tada Manifesto : https://tada.city/en/home-en/
Interview Barack Obama and Joi Ito, Wired 2016:
https://www.wired.com/2016/10/president-obama-mit-joi-ito-interview/
Music Credits:
Migrant Mother by Mild Maynyrd licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License, Creative Commons.
Get in touch with us:
Twitter: https://twitter.com/NLEpodcast
Instagram: https://www.instagram.com/nlepodcast/
Facebook: https://www.facebook.com/NotLoudEnoughPodcast/
Email: notloudenoughpodcast@gmail.com
In this episode, social and data scientist Aurore Paligot shares her fantastic journey of becoming a data scientist after studying literature and getting a Ph.D. in linguistics first. Using examples from her various work, Aurore tells us why is important to bring together various disciplines to inform and give context when creating data, and to create inclusivity. She explains what data is and who creates it, the of role data visualisation, and what the Tada manifesto does for ethical and responsible use of data.
You may also hear us talking about inclusion in sign language, the concept of the magic glove, AI and societal values we embed into AI, and data feminism.
Alongside examples of exciting projects and collaborations Aurore is working on in her free time, as she tries to understand how using social media data can inform us about how citizens live in smart cities; how data helps us understand the ecosystem of a place to build something with it; how we live in the city in times of pandemics and experience the emptiness of the city, and what is the representation of the city from inside.
Aurore Paligot is a linguist turned data specialist whose focus is to deliver meaningful insights and human-centric visualisations. Her research interests currently lie at the intersection between Tech and Social Sciences and part of her free time is spent exploring Digital Humanities. She is also a R-Ladies enthusiast and a keen Tableau developer.
Aurore holds a Ph.D. in linguistics from the University of Namur (Belgium) and a specialisation in Advanced Analytics and Machine Learning from the Ubiqum Code Academy (The Netherlands). She has more than eight years of experience working with qualitative, quantitative and experimental research methods and is currently working as a Data & Analytics Consultant at Positive Thinking Company. You can connect with Aurore on LinkedIn at https://www.linkedin.com/in/aurorepaligot/ and Twitter @AurorePaligot
Show Notes and Links:
Aurore Paligot’s website: http://aurore.rbind.io/projects/
Book: Data Feminism by Catherine D'Ignazio and Lauren F. Klein: https://mitpress.mit.edu/books/data-feminism
Tada Manifesto : https://tada.city/en/home-en/
Interview Barack Obama and Joi Ito, Wired 2016:
https://www.wired.com/2016/10/president-obama-mit-joi-ito-interview/
Music Credits:
Migrant Mother by Mild Maynyrd licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License, Creative Commons.
Get in touch with us:
Twitter: https://twitter.com/NLEpodcast
Instagram: https://www.instagram.com/nlepodcast/
Facebook: https://www.facebook.com/NotLoudEnoughPodcast/
Email: notloudenoughpodcast@gmail.com
59 Min.