1. 6 WAYS TO TURN WHO YOU ARE INTO ASSETS AND ACCESS
BROKERED IDENTITIES
6 WAYS TO TURN WHO YOU ARE INTO ASSETS AND ACCESS
Kathi Vian
2016 Ten-Year Forecast

2. … to broker skills, aptitudes and earnings
1 Use games
… to broker skills, aptitudes and earnings
Games are expanding beyond entertainment, beyond learning, to become platforms for matching talents and game-world achievements to real-world work opportunities in an on-demand labor force—with opportunities to level up one’s abilities for ever better jobs.
Knack.it: Game helps people find out what they are good at and then connects them to opportunities that match their knacks
Source: Forbes

3. 2 Design smart contracts
… to broker ownership and consumption
Smart contracts, often using blockchain technologies, will keep immutable records of commitments made and met, including proof of authorship, ownership of titles, and licenses to use digital and physical goods, sometimes without revealing who you are.
Ascribe: Web-based application helps artists lock in attribution and securely share and trace their digital works
Source: CoinDesk

4. 3 Sport wearables … to broker health
People who use wearables to monitor health and fitness will increasingly choose to exchange their data for better access to health-related services, from health insurance to medical treatment and wellness practices, ultimately creating marketable health profiles.
Oscar + MisFit: New York health insurance company supplies customers with Misfit tracker, offering credits for hitting their step goals—up to $250 per year
Source: Forbes

5. 4 Build citizenship scores
… to broker access to civic services
In spite of the potential for abuse of social credit scores by governments, cities and even nations may well turn to the social, financial, and behavioral data of their citizens as a kind of currency for access to specific civic services, based on their “good citizenship” profiles.
China’s 2020 credit score: Chinese government is considering a mandatory social credit scoring system to track citizenship behaviors, starting in 2020
Source: CNN

6. 5 Put virtual assistants to work
… marketing identity graphs
Over the next decade, the marketplace for personal data will grow. At the same time, personal identity graphs built from data about social networks, financial transactions, digital searches, and real-life behaviors will become more complex. Result? Personal AI assistants will broker access to portions of that data for money, for access, and for reputation.
Meeco: Mobile virtual assistant service that organizes your data to help you negotiate the services you want
Source: Meeco

7. 6 Turn ecosystems of identities
… into new kinds of markets
As both people and objects become ever more connected in an Internet of Things world, they will create networked ecosystems with distinctive identities that may offer services or become markets for services.
EVRYTHNG: Platform for connecting objects and people on the Internet of Things into ecosystems of value exchange
Source: Evrythng

8. What’s driving our new public faces?
Many of the traditional brokers of identity that have shaped our lives and identities in the past—bankers and credit card companies, educational institutions, employers, health care providers, civic institutions like voter registration bureaus and social security administrations, and even watchdog organizations—are being disrupted by technologies that can accomplish many of the same goals. These technologies can confirm that you are who you say you are, that you have the resources and assets you say you have, and that you’re trustworthy and competent for certain kinds of transactions and interactions. Many of these technologies, are in fact much more reliable than the traditional brokers and gatekeepers of identity, drawing on more data, more connections, and algorithms that can interpret your past and forecast your future.
At the core of this technological disruption is distributed computing, and more specifically, blockchain technologies that secure your data with encryption while creating an immutable record of even your smallest transactions.
The key question is not whether these future identities will be brokered by automated systems. Rather the key uncertainty is: Will these new brokers be centralized platforms, like existing institutions? Or will they be distributed, with dozens or millions or even billions of others verifying hundreds of billions of aspects of your identity?
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9. What’s driving our new public faces ...continued
The first model follows the current competitive landscape in which a few get-there-early, winner-take-all platforms dominate the market. In this model, issues of privacy, control of personal data, and equal access continue to undermine public trust in institutions while also elevating a few players to the position of convenient-and-somewhat-trusted broker. Economically, this model continues to reduce the number of workers who are employed by dominant companies. But it perhaps also gives rise to a new economy of nano-payments, paid to distributed “miners” and “monitors” of the flows of identity data.
The second model is the truly distributed model, where individuals or organizations own their own identity data, compiled from all the graphs of flows that they participate in. The brokers in this scenario are the panoply of algorithms and APIs that work across various social, financial, health, knowledge, and purchasing platforms to verify transactions and interactions. The glue that holds identity together is, in a truly distributed world, an array of open-source graphing systems and a set of protocols that allow individuals, organizations, and perhaps even objects to sell, barter, or gift access to either the metadata or specific raw data. In this scenario, privacy and trust are no longer achieved through regulation. Instead, they are baked into every piece of code for managing transactions.

10. What’s driving our new public faces ...continued
 These two models are not mutually exclusive and will most likely grow and persist side-by-side. The first model will create highly successful walled-garden environments, which users may choose for some or all of their identity needs. But they may simultaneously build personal economies based on identities that they control directly. And let’s not forget that some of these identities will be those of objects—objects in the home, objects in offices and warehouses, and in public spaces. Some of these will be trusted objects, based on their own brands and graphs. But some will also be objects that trust us, individually or as an organization, based on our composite graph identities.