Abstract: YouTube competes with Hollywood as an entertainment channel, and also supplements Hollywood by acting as a distribution mechanism. Twitter has a similar relationship to news media, and Coursera to Universities. But there are no online alternatives for making democratic decisions at large scale as a society. In this talk, we will describe some algorithmic and markets-inspired approaches towards large scale decision making which go beyond simply voting for candidates or in referenda. We will start by describing two platforms that our team has built and deployed in over 100 real-life elections or deliberations: the Stanford Participatory Budgeting Platform and a Video-conferencing Platform for cIvic deliberations that incorporates automated moderation. We will then outline our progress on some of the algorithmic problems that arise in these settings: knapsack voting, menu-driven participatory budgeting, deliberation mechanisms, and fair advertising. We will also describe how one can construct a market for public-decision-making inspired by the celebrated work of Foley and others on public goods markets. We will conclude with a list of high-level open directions. This represents joint work with current and past members of the Stanford Crowdsourced Democracy Team (including Anilesh Krishnaswamy, Tanja Aitamurto, Sukolsak Sakshuwong, Lodewijk Gelauff, Nikhil Garg, and Ben Plaut), with Kamesh Munagala and his research group at Duke, and with Jim Fishkin and Alice Siu at Stanford.