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Ecological Economics and Systems Thinking | Katie Kish + David Mallery | (ST-ON 2021-10-18)

In the 1980s, ecological economics seemed to be mostly economists extending their work towards environmental and resource concerns.  In the 2020s, ecological economics is seeing a new generation first schooled in other disciplines such as environmental studies or one of the social sciences, then coming into economics.  Programs that encourage the new perspective include the  Economics for the Anthropocene partnership, and Leadership for the Ecozoic network.  Emerging scholars can bring a new research agenda.

This is what I’ve been learning through the Canadian Society for Ecological Economics (CANSEE).  To bring some of that perspective to the Systems Thinking Ontario community, I invited Katie Kish and David Mallery for a conversation.

This video has been archived on the Internet Archive .

Video H.264 MP4
October 18
(1h41m)
[20211018_ST-ON EcologicalEconomics_Kish_Mallery_FHD.m4v]
(FHD 1547kbps 1.19GB) [on the Internet Archive]

Audio downloadable onto mobile devices was transcoded from the video into MP3.

Audio
October 18
(1h41m)
[20211018_ST-ON EcologicalEconomics_Kish_Mallery.mp3]
(35.5MB)

Here is the content from the original announcement.

For this session, Katie Kish and David Mallery will lead a discussion on Ecological Economics in two parts.

(1) Where is Ecological Economics going with Systems Thinking?

(2) What could a 30-year research agenda for Ecological Economics be?

Katie has been working for the Global Footprint Network, that uses big data to produce the Ecological Footprint Accounts. Applying this data on individual and group behaviour change raises questions on the role and ethics associated with big data.

The special section of the journal aims to find synergies between existing work and how to evaluate matters that have urgency and importance. Katie welcomes discussion on any of these papers, and is providing access to a private cache (to those without access to a university library).

Biographies

Suggested pre-readings

Topic 1:

Topic 2:

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