These are the goals created by The H(app)athon Project Committee as outputs/outcomes for their work.

1. Goals for the H(app)athon Project
Goal 1:
By March 20 2014, release individual well-being indicators (a person’s “Personal Happiness Indicator”)
based on each person's own well-being definition.*
How:
Step 1.The H(app)athon Experience. We are crowdsourcing a large, international dataset
of subjective and objective measures of daily life experiences.
Step 2: We will Data Mine (utilize Data Science to mine our surveys) to discover the essential, and
minimally invasive, set of daily activity data required to accurately predict an individual's subjective
experience of well-being.
Step 3: Generate and train a machine learning algorithm with existing dataset
Measured by: Releasing the indicator algorithms.
Goal 2:
By March 20, 2014, release an open-source application that provides users access to well-being scores
for themselves, their family, community, business, region, and nation in under 10 seconds, plus resources
for improving well-being at any scale in under 30 seconds.
How:
Step 1: Embed new algorithm into H(app)athon Experience/updated survey.
Step 2: Monitor efficacy of algorithm with new data, refine as necessary.
Step 3: Optimize data visualization and presentation to users.
Step 4: Partner with appropriate resource partners.
Measured by: Data and resource access measured by the app.
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H(app)athon Project Goals 3.17.2013

2. Goal 3:
By March 20, 2015, 100,000 people who have taken the survey continue contributing sharing their well-
being data.
Why this is Important:
We aren't just collecting data once from individuals, as in typical surveys. What differentiates The
H(app)athon Project is that we're creating a living, growing, real-time global well-being indicator. Once the
survey is done, mobile phones from opt-in H(app)athon Community Members (participants taking the
passive-data version of the survey) keep collecting data and providing well-being metrics for every person
who has taken the survey.
Those users can see the changing well-being scores for themselves without taking further surveys. Thanks
to the framework of The Open Mustard Seed Project** (OMS), a partner of the H(app)athon Project helping
us implement their protected-data framework, users can also see the well-being for their family,
communities***, business, regions, and nations, with whatever level of privacy and anonymity they
choose, and can opt in or out at any time.
Goal 4:
By March 20, 2015, 10,000 people will have used Happathon applications to increase their personal, family,
community, business, region, and/or nation well-being by 5%.
Measured by: The well-being of all app users.
*This is a primary aspect of what we feel makes our work unique. We are not generating questions to be
measured on a population level from which we will infer an individual's level of personal well-being. We are
starting with the individual and creating software (powered by ilumivu and driven by Kat Houghton, Project
Tech/Survey Lead) that will learn what is meaningful for that person (how does s/he define well-being, and
what makes him/her feel good each day). Ultimately, the aggregation of all these data will help us create
new metrics at the population level. No one that we are aware of has used this type of person-centric
methodology as it wasn't logistically feasible before the Smartphone.
** http://idhypercubed.org/wiki/
***The OMS framework means that families, communities, businesses, regions, and even nations can be
self-defined and/or pre-defined.
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H(app)athon Project Goals 3.17.2013