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RnDAO Talks Ep 21 | Matt Barney: The Case for On-Chain DAO Risk Management with Psychometrics

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Innehåll tillhandahållet av RnDAO. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av RnDAO eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Matt Barney, Ph.D. is an Organizational Psychologist, serial entrepreneur and founder of XLNC, a consulting, training and psychometrics firm that solves difficult business problems with psychological science and innovative technology. Previously, he was the Founder and CEO of LeaderAmp, an award-winning platform for expert and Artificially Intelligent coaching and assessment until May of 2022. In his 25+ year career in multinationals such as AT&T, Motorola, Merck and Infosys, Dr. Barney has innovated interdisciplinary science and technology resulting in four patents, ten books, 43 peer-reviewed works and over 200 keynotes.
​In 2020, LeaderAmp won the AI Award for Human Capital Development. In 2018, his team won two competitive international awards from the Society for Industrial-Organizational Psychology and the Association of Test Publishers. Since 2014, he has served on the Business Affairs committee of the board of not-for-profit scientific publisher Annual Reviews. He holds a B.S. in Psychology from the University of Wisconsin-Madison; and Ph.D. in Industrial-Organizational Psychology from the University of Tulsa.
Satoshi’s original goal was to create technology that overcomes the historical disasters of centralized, untrustworthy social systems. DAOs have potential to change that but from Mt. Gox, Three Arrows Capital, to rugpulls and FTX, human sources of risk are still limiting the full potential.
​This presentation will briefly review Enterprise Risk Management history before introducing the relevant interdisciplinary organizational science of individual, team, and organizational risk management. It will introduce meta-analytically supported evidence from traditional organizations that likely generalizes to DAO management. At the same time, it will review other findings such as Cialdini’s ethical persuasion science, which is likely even more important in a DAO than in a traditional firm. The latest, metrologically-oriented, objective psychometric methods are ideal to detect and mitigate these risks in DAOs, but when these computer-adaptive assessments are deployed on Web 2.0 infrastructure, they suffer from all the traditional limitations of legacy cloud/mobile technology. This is unhelpful for realizing the full potential of DAOs.
​The presentation will close with a vision for research that ultimately results in novel smart contracts, and multisig NFTs to systematically assess and mitigate these organizational risks in ways that are immutable, appropriately transparent, censorship resistant, and effective in reducing risks and potentially helping DAOs become “antifragile”.

  continue reading

38 episoder

Artwork
iconDela
 
Manage episode 389217007 series 3537202
Innehåll tillhandahållet av RnDAO. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av RnDAO eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Matt Barney, Ph.D. is an Organizational Psychologist, serial entrepreneur and founder of XLNC, a consulting, training and psychometrics firm that solves difficult business problems with psychological science and innovative technology. Previously, he was the Founder and CEO of LeaderAmp, an award-winning platform for expert and Artificially Intelligent coaching and assessment until May of 2022. In his 25+ year career in multinationals such as AT&T, Motorola, Merck and Infosys, Dr. Barney has innovated interdisciplinary science and technology resulting in four patents, ten books, 43 peer-reviewed works and over 200 keynotes.
​In 2020, LeaderAmp won the AI Award for Human Capital Development. In 2018, his team won two competitive international awards from the Society for Industrial-Organizational Psychology and the Association of Test Publishers. Since 2014, he has served on the Business Affairs committee of the board of not-for-profit scientific publisher Annual Reviews. He holds a B.S. in Psychology from the University of Wisconsin-Madison; and Ph.D. in Industrial-Organizational Psychology from the University of Tulsa.
Satoshi’s original goal was to create technology that overcomes the historical disasters of centralized, untrustworthy social systems. DAOs have potential to change that but from Mt. Gox, Three Arrows Capital, to rugpulls and FTX, human sources of risk are still limiting the full potential.
​This presentation will briefly review Enterprise Risk Management history before introducing the relevant interdisciplinary organizational science of individual, team, and organizational risk management. It will introduce meta-analytically supported evidence from traditional organizations that likely generalizes to DAO management. At the same time, it will review other findings such as Cialdini’s ethical persuasion science, which is likely even more important in a DAO than in a traditional firm. The latest, metrologically-oriented, objective psychometric methods are ideal to detect and mitigate these risks in DAOs, but when these computer-adaptive assessments are deployed on Web 2.0 infrastructure, they suffer from all the traditional limitations of legacy cloud/mobile technology. This is unhelpful for realizing the full potential of DAOs.
​The presentation will close with a vision for research that ultimately results in novel smart contracts, and multisig NFTs to systematically assess and mitigate these organizational risks in ways that are immutable, appropriately transparent, censorship resistant, and effective in reducing risks and potentially helping DAOs become “antifragile”.

  continue reading

38 episoder

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