Difference between revisions of "Team:Purdue/Human Practices"

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<h3 style="margin-top:0;">Dr. Linnes</h3>
 
<h3 style="margin-top:0;">Dr. Linnes</h3>
<p>Dr. Linnes is an assistant professor in Biomedical Engineering at Purdue University who specializes in developing paper-based assays. She provided examples of paper-based assays she designed and brought to light different factors to include within our assay. Throughout the improvement of our assay, she was able to provide input and expertise in the design.</p>
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<p>Dr. Linnes is an assistant professor in Biomedical Engineering at Purdue University who specializes in developing paper-based assays. She helped our team greatly by providing examples of paper-based assays, identifying important variables in assay design, and allowing our assay designer to use materials and equipment in her lab. Because of her large contribution, it is difficult to narrow down discrete changes she provoked in our design; that being said, we directly implemented her suggestion to have a 3-step maximum on our assay.</p>
 
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Revision as of 05:17, 17 October 2018

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Human Practices

Overview

Our work in human practices focused on answering two questions: will our diagnostic test responsibly impact the world in a positive way, and if so how can we best tailor our design to the needs of those seeking to use it. To answer these questions, we sought the advice of professionals specializing in paper-based assays and the opinions of those who would feasibly come into contact with the test at each step of the diagnostic process. The insight we gained from these interactions demonstrated that Yeast ID has a high potential to responsibly improve the lives of those suffering from yeast infections. By listening to feedback from these key stakeholders we were also able to identify and correct previously unforeseen problems in assay design, moving us closer to our goal of making as large and positive an impact as possible. Our human practices process consists of six basic steps.

Step 1

Follow up on findings from literature review by investigating diagnosis and treatment processes first hand.

Learning about how current tests are being used and what doctors would prefer to have was important in transforming our assay. We wanted to make sure that our diagnosis test could benefit professionals working.

Who we talked to:

Step 2

Developing our Paper-Based Assay

Throughout the process of building our paper-based assay, we consulted professionals who helped us change our assay to better fit the needs of healthcare professionals and patients everywhere.

Who we talked to:

Step 3

Learn how to Relay our research to the public

Communicating our research and transporting or assay to the public is important when making our assay more globally accessible.

Who we talked to:

Integrated HP:

Step 4

Changing our detection method based on the conversations with professionals

Originally we designed our assay with as many steps as necessary in order to gain the best results with the least amount of factors to account for. However, based on our talk Dr. Linnes who shed light on a method of a three step application system that users prefer. Due to this discovery, we modified our assay to fit within the three step application suggestion.

Step 5

Assess public knowledge through survey

A major part of our research was finding a way to make the assay more user-friendly than current brands. In order to do so we conducted an IRB survey that used Amazon Mechanical Turk that helped us receive feedback from a diverse demographic range.

Click here to learn more

Step 6

Public Engagement

We had the opportunity to work with Purdue University Libraries in creating an event called DIYBio and Maker, where we educated the Purdue community about synthetic biology and our project. During the event we interacted with students and shed light on the importance of synthetic biology and the implications of our research. Over the summer, we assisted in creating an escape room for high schoolers interested in synthetic biology. Before the high schoolers arrived, we went through the escape room and helped ensure that it was not too difficult and hard to understand. We also helped oversee the event to make sure everything ran smoothly.

Collaboration

A major part of our research was finding a way to make the assay more user-friendly than current brands. In order to do so we conducted an IRB survey that used Amazon Mechanical Turk that helped us receive feedback from a diverse demographic range.

Click here to learn more