Artwork

内容由plus.maths.org提供。所有播客内容(包括剧集、图形和播客描述)均由 plus.maths.org 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Player FM -播客应用
使用Player FM应用程序离线!

On the mathematical frontline: Modelling behaviour

24:07
 
分享
 

Manage episode 429117793 series 3330864
内容由plus.maths.org提供。所有播客内容(包括剧集、图形和播客描述)均由 plus.maths.org 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

102集单集

Artwork
icon分享
 
Manage episode 429117793 series 3330864
内容由plus.maths.org提供。所有播客内容(包括剧集、图形和播客描述)均由 plus.maths.org 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

102集单集

सभी एपिसोड

×
 
Loading …

欢迎使用Player FM

Player FM正在网上搜索高质量的播客,以便您现在享受。它是最好的播客应用程序,适用于安卓、iPhone和网络。注册以跨设备同步订阅。

 

快速参考指南

版权2025 | 隐私政策 | 服务条款 | | 版权
边探索边听这个节目
播放