Nick interviews Rupert Freeman on the design of forecasting competitions that incentivise all forecasters to report their honest predictions, and prediction markets that can use crowdsourced outcome determination without introducing new incentives for market manipulation. 
Links:
<ul><li><a href='https://www.rupertfreeman.com/'>Rupert Freeman's personal website</a></li>
<li>First Paper: <a href='https://pubsonline.informs.org/doi/10.1287/mnsc.2022.4410'>Incentive-Compatible Forecasting Competitions</a></li>
<li>Second Paper: <a href='https://www.rupertfreeman.com/PM+PP.pdf'>Crowdsourced Outcome Determination in Prediction Markets</a></li>
<li><a href='https://augur.net/'>Augur, the crypto based prediction market we briefly discuss</a></li>
<li>Another paper we discuss: <a href='https://link.springer.com/chapter/10.1007/978-3-642-10841-9_10'>Prediction Mechanisms That Do Not Incentivize Undesirable Actions</a></li>
<li><a href='https://share.descript.com/view/FeZgEzDenZt'>Episode Transcript</a></li>
</ul>
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Liquid Democracy, Smart Voting, and Itero with Rachael Colley

Interviews on improving the mechanisms of collective decision-making