Reputation in web3 is a hot topic right now. The potential of integrating reputation as a way to keep governance or the contributor system honest has been seen as a game changer. This comes after a wave of primitive on-chain governance failures such as lack of accountability, poor voter turnout, and contributor burnout due to poor motivation & comp in DAOs.

However the way reputation is scored has been tailored to the web3 approach.. looking at forum activity, proof of work, and what's done over Github, discord, or other forums to get an overview of whether a person is fit for a certain role or not.. to get feedback on the way he's working right now. Our guest on this episode disagrees with this methodology. A lot!

In this convo, we hear from Dr. Matt Barney about how reputation scoring in web3 is fundamentally broken & what his approach to resetting DAO reputation scoring would be. He advocates for having a mix of on-chain psychometrics of the candidate that delves into his character like conscientiousness, loyalty etc along with existing metrics to measure his proof of work. This convo is a strong debate that fundamentally has shaped how we hosts see reputation scoring & we're sure you'll feel the same way, so do check it out!

About the guest:

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.

Important Links:

Matt Barney - Twitter

RnDAO - Twitter, Discord

XLNC - Website

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