Crowd Business Models. Click on the image to Download in PDF This is our Crowd Business Models framework, which groups the 22 categories of crowdsourcing services shown in our Crowdsourcing Landscape into 8 business models, including non-profit. The second page shows the monetization models and success factors for each business model. Below is Chapter 22, which goes into more detail in describing each of the elements of the Crowd Business Models framework. Getting Results From Crowds: Chapter 22 – Crowd Business Models What are your thoughts on the Crowd Business Models framework, in particular any suggestions for changes or improvements? Engagement-driven Narrative Design (or How to Build Discovery and Advocacy into your Transmedia Storytelling)
The first diagram in this post presents a virtuous circle for an interactive storyworld that binds the story to social discovery and advocacy. The questions that the narrative designer or transmedia storyteller asks herself are: What social actions and conversations do I want to stimulate? How do I want to engage the audience to produce these social actions? What storyworld knowledge will they need to engage in this way? Which characters/locations/things hold this knowledge and how/when will it be revealed?
(i.e. the character conflicts & events plus audience interaction with the characters/locations/things)What’s the impact on the audience when the knowledge it is revealed? I’ll now explain how I’ve arrived at this process.. The two key enablers to a successful venture today are discovery and advocacy. Consequently, much of my work this past year has begun with the questions: how will the experience be discovered? Narrative Design engagement designnarrative designinteraction design. Announcing the 2012 TED Prize Winner – The City 2.0. TED Prize 2012: Crowdsourcing "City 2.0" | Open Source Cities.
The Mechanical Turk Blog. Collaboratively Crowdsourcing Workflows with Turkomatic. Anand Kulkarni, UC Berkeley, MobileWorksMatthew Can, StanfordBjoern Hartmann, UC Berkeley A central challenge in crowd computing is the workflow design problem: how can we divide a complex job — for instance, editing a paper or writing a computer program — into a sequence of microtasks that can be solved by a pool of crowd workers on the web? Effective workflow design is a difficult process, requiring careful task design, extensive software development, and iterated testing with a live crowd. The complexity of workflow design limits participation in crowdsourcing marketplaces to experts willing to invest substantial time and effort, and limits the kinds of tasks that can be crowdsourced today.
What if we could use the crowd to attack the workflow design problem itself? Turkomatic accepts a requester’s specification of a task in natural language, then uses workers on Amazon’s Mechanical Turk to determine how to structure workflows to achieve the objective. The Requester Interface.