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  1. George Barnett
  2. http://iuse.bc.edu
  3. Professor
  4. Presenter’s NSFRESOURCECENTERS
  5. Boston College
  1. Christian Asante
  2. PhD Student
  3. Presenter’s NSFRESOURCECENTERS
  4. Boston College
  1. Ludovico Cademartiri
  2. http://l.cademartirilab.net/
  3. Assistant Professor
  4. Presenter’s NSFRESOURCECENTERS
  5. Iowa State University
  1. David Jackson
  2. PhD Student
  3. Presenter’s NSFRESOURCECENTERS
  4. Boston College
  1. Rajeev Rupani
  2. http://iuse.bc.edu/
  3. Senior Research Associate
  4. Presenter’s NSFRESOURCECENTERS
  5. Boston College
  1. Ben Shapiro
  2. https://www.colorado.edu/cmci/people/information-science/ben-shapiro
  3. Assistant Professor
  4. Presenter’s NSFRESOURCECENTERS
  5. University of Colorado Boulder
  1. Helen Zhang
  2. Senior Research Associate
  3. Presenter’s NSFRESOURCECENTERS
  4. Boston College

Strategies: Seeding the Future of STEM researchers through emerging agricultu...

NSF Awards: 1759152, 1814001

2019 (see original presentation & discussion)

Grades 9-12

This ITEST Strategies project engages youth in a three-year pathway framework (or program), where we will engage youth in conducting authentic scientific research through the use of emerging agricultural technologies like transparent soil (a recent discovery which is a hydrogel that behaves like soil), a near-peer and college-focused mentoring model, and interaction with scientists, all while learning to build and code Raspberry Pis to share their data with agronomists and plant scientists. The outcome goal for this work is to prepare youth to enter a post-secondary institution with strong research skills through experience in conducting careful and rigorous scientific research. The work that youth will be involved in over the three projects will engage them in the same type of scientific research that is occurring in scientific research labs at the university level. Specifically, we are proposing a program where youth will learn to (i) build the tools (sensors connected to Raspberry Pi and sensors connected to the Internet of Things web infrastructure provided by IBM Watson software system) that they will use to collect their data, (ii) carry out rigorous scientific investigations (identifying questions, as well as finding and minimizing experimental pollutants, and determining dependent vs independent variables), and (iii) develop models and potential explanations from their data while sharing this data and findings with practicing scientists.

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