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Hacking Food & Health Research

Technology is radically changing our ability to understand food preferences and how what we eat impacts our health. Traditionally, companies have relied on market and clinical research to develop products and come up with solutions to pressing challenges, like obesity and diabetes. This research, however, is expensive, relies on self-reported bias and can take years to yield results. Now, food and health startups developing apps to help consumers make more informed food choices are capturing real-time data about food preferences and consumption habits on a scale never before possible. Can this data be trusted? What can it really tell us? Hear from pioneers in this emerging space about real life examples of how their crowdsourced data is being used.

Additional Supporting Materials


  1. Can crowdsourced big data be trusted?
  2. How can crowdsourced data replace or enhance traditional clinical and market research?
  3. What can crowdsoured data really tell us about consumer preferences?
  4. What can crowdsourced data really tell us about people's health?
  5. What are some real world examples of how crowdsourced food and health data are being used?



Danielle Gould, Founder, Food+Tech Connect

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