Artwork

Contenido proporcionado por plus.maths.org. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente plus.maths.org o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

On the mathematical frontline: Modelling behaviour

24:07
 
Compartir
 

Manage episode 429117793 series 3330864
Contenido proporcionado por plus.maths.org. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente plus.maths.org o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

How we behave can have far greater impacts than just on our own daily lives. For example who we interact with and whether we get vaccinated affects how diseases spread through the community. So if we are going to use maths to try to understand such a challenge facing society, we need to make sure we include human behaviour in our mathematical models. But how do you mathematically describe the messiness of human behaviour?

To find out we talk to mathematicians Kirsty Bolton, Assistant Professor at the University of Nottingham, and Ed Hill, a Warwick Zeeman Lecturer at the University of Warwick. Kirsty and Ed organised a recent workshop bringing together experts from across maths, data science, life sciences and social sciences to explore how mathematical models can be made more realistic by including human behaviour. They tell us about both the mathematical and the communication challenges this brings, from the difficulty of learning the languages of other disciplines to the excitement of finding the sweet spot where experts from such different areas can work together to make progress.

Kirsty and Ed are both part of JUNIPER, a collaborative network of researchers from across the UK who work at the interface between mathematical modelling, infectious disease control and public health policy, and JUNIPER supported the workshop.

This podcast is part of our collaboration with JUNIPER, the Joint UNIversities Pandemic and Epidemiological Research network. JUNIPER is a collaborative network of researchers from across the UK who work at the interface between mathematical modelling, infectious disease control and public health policy. You can see more content produced with JUNIPER here.

  continue reading

88 episodios

Artwork
iconCompartir
 
Manage episode 429117793 series 3330864
Contenido proporcionado por plus.maths.org. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente plus.maths.org o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

How we behave can have far greater impacts than just on our own daily lives. For example who we interact with and whether we get vaccinated affects how diseases spread through the community. So if we are going to use maths to try to understand such a challenge facing society, we need to make sure we include human behaviour in our mathematical models. But how do you mathematically describe the messiness of human behaviour?

To find out we talk to mathematicians Kirsty Bolton, Assistant Professor at the University of Nottingham, and Ed Hill, a Warwick Zeeman Lecturer at the University of Warwick. Kirsty and Ed organised a recent workshop bringing together experts from across maths, data science, life sciences and social sciences to explore how mathematical models can be made more realistic by including human behaviour. They tell us about both the mathematical and the communication challenges this brings, from the difficulty of learning the languages of other disciplines to the excitement of finding the sweet spot where experts from such different areas can work together to make progress.

Kirsty and Ed are both part of JUNIPER, a collaborative network of researchers from across the UK who work at the interface between mathematical modelling, infectious disease control and public health policy, and JUNIPER supported the workshop.

This podcast is part of our collaboration with JUNIPER, the Joint UNIversities Pandemic and Epidemiological Research network. JUNIPER is a collaborative network of researchers from across the UK who work at the interface between mathematical modelling, infectious disease control and public health policy. You can see more content produced with JUNIPER here.

  continue reading

88 episodios

Semua episod

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida