Julie Owono is a member of the Oversight Board, an outside entity with the authority to make binding decisions on tricky moderation questions for Meta's companies. She considers the Board's impact, and its future.

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a "comp sheet" of similar properties that have recently sold, and has done a walkthrough. The iBuyer has access to an automated valuation model powered by real, large-scale market transaction data, but has not seen the property in person. The simulation provides students with an opportunity for experiential learning around the use of data and algorithms to inform market decisions. This role is the confidential information for Homebuyer 1, and is one of eight role documents to be assigned to students in the simulation.

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a "comp sheet" of similar properties that have recently sold, and has done a walkthrough. The iBuyer has access to an automated valuation model powered by real, large-scale market transaction data, but has not seen the property in person. The simulation provides students with an opportunity for experiential learning around the use of data and algorithms to inform market decisions. This role is the confidential information for Homebuyer 2, and is one of eight role documents to be assigned to students in the simulation.

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a "comp sheet" of similar properties that have recently sold, and has done a walkthrough. The iBuyer has access to an automated valuation model powered by real, large-scale market transaction data, but has not seen the property in person. The simulation provides students with an opportunity for experiential learning around the use of data and algorithms to inform market decisions. This role is the confidential information for Homebuyer 3, and is one of eight role documents to be assigned to students in the simulation.

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a "comp sheet" of similar properties that have recently sold, and has done a walkthrough. The iBuyer has access to an automated valuation model powered by real, large-scale market transaction data, but has not seen the property in person. The simulation provides students with an opportunity for experiential learning around the use of data and algorithms to inform market decisions. This role is the confidential information for iBuyer 1, and is one of eight role documents to be assigned to students in the simulation.

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a "comp sheet" of similar properties that have recently sold, and has done a walkthrough. The iBuyer has access to an automated valuation model powered by real, large-scale market transaction data, but has not seen the property in person. The simulation provides students with an opportunity for experiential learning around the use of data and algorithms to inform market decisions. This role is the confidential information for iBuyer 2, and is one of eight role documents to be assigned to students in the simulation.

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a "comp sheet" of similar properties that have recently sold, and has done a walkthrough. The iBuyer has access to an automated valuation model powered by real, large-scale market transaction data, but has not seen the property in person. The simulation provides students with an opportunity for experiential learning around the use of data and algorithms to inform market decisions. This role is the confidential information for iBuyer 3, and is one of eight role documents to be assigned to students in the simulation.

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a "comp sheet" of similar properties that have recently sold, and has done a walkthrough. The iBuyer has access to an automated valuation model powered by real, large-scale market transaction data, but has not seen the property in person. The simulation provides students with an opportunity for experiential learning around the use of data and algorithms to inform market decisions. This role is the updated confidential information for homebuyers, to be distributed for a second round of play. It is one of eight role documents to be assigned to students in the simulation.

Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a "comp sheet" of similar properties that have recently sold, and has done a walkthrough. The iBuyer has access to an automated valuation model powered by real, large-scale market transaction data, but has not seen the property in person. The simulation provides students with an opportunity for experiential learning around the use of data and algorithms to inform market decisions. This role is the updated confidential information for iBuyers, to be distributed for a second round of play. It is one of eight role documents to be assigned to students in the simulation.

This note provides an overview of real estate iBuying, or instant buying, a business model that involves buying homes and then reselling them at a profit. Introduced in the mid-2010s, iBuying streamlined the process of selling a home by offering instant, all-cash offers to sellers. This note includes context on the traditional home buying and selling processes, the impact of property technology (PropTech), the iBuying process and unit economics, and the iBuying market landscape (e.g., top players and geographic markets).