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.


  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


  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


  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:


Citizen Science:

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


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