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Human Risk द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Human Risk या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal
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Professor Magda Osman on Risk Prioritisation

1:06:03
 
साझा करें
 

Manage episode 409696896 series 2845792
Human Risk द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Human Risk या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal
How, in a world of limited resources, can we prioritise risk? Which ones should we focus on more than others?
This isn't just something we need to think about in a work context. It also applies to our personal lives; where should we spend our money, time and headspace?
My guest is a friend of the show who has appeared four times before (links below).
Professor Magda Osman is a Professor of Basic & Applied Decision-Making at Leeds Business School. She's a psychologist by training, with a specific interest in decision-making under risk and uncertainty, folk beliefs in the unconscious, as well as an interest in examining the effectiveness of methods of behavioural change.
In our discussion, we explore:
  • why we need to prioritise risk and the challenges of doing so;
  • the benefits of group wisdom, and the reasons we might not always find it;
  • the risks posed by a need to drive for consensus;
  • how social dynamics influence decision-making;
  • the power of cognitive diversity
and much, much more.
To find out more about Magda, her research and her work, visit her website. You can also find her on LinkedIn.
To hear previous episodes of the show featuring Magda (in the order they were recorded):
'On Behavioural Interventions that Fail'
'On Unconscious Bias - what is it & can we train people to not display it?'
'On Compliance, Coercion & Competence'

'On Misinformation'
  continue reading

297 एपिसोडस

Artwork
iconसाझा करें
 
Manage episode 409696896 series 2845792
Human Risk द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Human Risk या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal
How, in a world of limited resources, can we prioritise risk? Which ones should we focus on more than others?
This isn't just something we need to think about in a work context. It also applies to our personal lives; where should we spend our money, time and headspace?
My guest is a friend of the show who has appeared four times before (links below).
Professor Magda Osman is a Professor of Basic & Applied Decision-Making at Leeds Business School. She's a psychologist by training, with a specific interest in decision-making under risk and uncertainty, folk beliefs in the unconscious, as well as an interest in examining the effectiveness of methods of behavioural change.
In our discussion, we explore:
  • why we need to prioritise risk and the challenges of doing so;
  • the benefits of group wisdom, and the reasons we might not always find it;
  • the risks posed by a need to drive for consensus;
  • how social dynamics influence decision-making;
  • the power of cognitive diversity
and much, much more.
To find out more about Magda, her research and her work, visit her website. You can also find her on LinkedIn.
To hear previous episodes of the show featuring Magda (in the order they were recorded):
'On Behavioural Interventions that Fail'
'On Unconscious Bias - what is it & can we train people to not display it?'
'On Compliance, Coercion & Competence'

'On Misinformation'
  continue reading

297 एपिसोडस

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