RESEARCH

Research Objective

Traditional knowledge has identified medicinal foods that have potential health impact historically. We have identified some foods that science has confirmed have an effect on anxiety, sleep loss, stress, and other common conditions of humans. 

We have worked through these ones by one to identify how long each medicinal foods should take to have an effect, what average level of effect it has. 

If we start to share this information globally then each individual can test new medicinal food for themselves and contribute to the global knowledge base.

Goals

  1. Help an individual discover new foods that  are historically/statistically indicative  to have a beneficial effect in certain conditions 
  2. Enable  citizens  to evaluate the effectiveness of medicinal foods on their own and take control of their health by creating  a personal food toolkit to manage conditions
  3. Enable citizens to contribute to broader knowledge and take their power back using food as medicine

                              Evidence Oasification, Medicinal Foods Citizen Science

 

CrowdDoing Medicinal foods for stress, sleep & anxiety initiatives leverages

 

Medicinal Food Lookup App

Natural foods have known medicinal uses, but need evidence-based analysis

 Collection of Empirical Data

“Citizen Science” = collection or analysis of data by the general public

 Evidence-based Analysis

Using new technologies to draw evidence-based conclusions
Phase 1 Phase 2 Phase 3
Who? Any user, anywhere in the world Any user, anywhere in the world CrowdDoing
What? The user can look up medicinal foods by various entry-points: symptom, food item, diagnosis, etc. Use the global scale as a means of collecting large-scale empirical data. Use new computer-based tools that can analyze large quantities of data, and can find patterns and correlations
How? Online and mobile app Online and mobile app Machine-learning based methods

 

Project Phases

 

Phase 1 : 

          •  Lookup only
          • No incoming data

 

The App:

  1. Research public domain databases to identify foods for the following conditions –
    1. Sleep
    2. Stress 
    3. Anxiety 
  2. A browser-based app ( responsive design )
    1. Display a health mission statement. User can select conditions he/she would like to manage
    2. Food discovery Feature-  Display foods for specific conditions
    3. Food details Feature- Details about a specific food – summary, source of information, dosage, contraindications, synergies with other foods, local resources

Service Learning:  getting content onto external learning platforms (ex: Udemy)

  1. Versions both free and for-fee

Marketing: 

  1. ( Tenesa will get back on this )

  ….

Phase 2 :

          • Add content sourced from public data
          • Incoming data from other sources, not through The App

 

The App :  

  1. Analyze feedback from users of Phase 1 
  2. Add additional conditions – Indigestion, Seasonal Allergies/ Sore Throat, etc.
  3. Add additional depth:  data inferred from data science & health science teams

Service Learning:

  1. Adopt-a-Food: the service volunteer will research food. That input will grow our DB.
  2. More content based on the discoveries from Data Science

Marketing:

  1. Marketing strategy for the Adopt-a-Food program

Citizen Science:

  1. Input mechanisms for receiving food data from the volunteers
  2. Perhaps a “social media experience package” where the volunteer takes on the ‘testing’ of the food for a period and reports on their experiences

….

Phase 3 :

          • HIPAA

 

 

The App:

  1. Support for User Trials
  2. User Login

Service Learning:

Marketing:

Citizen Science:

Evidence Oasification, Medicinal Foods Citizen as a 1 MB PDF file

 

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