Title of Abstract

Artifact Classification and Value Promotion in Makerspaces

Poster Number

117

Session Title

Physical Sciences, Math, and Computer Science

College

College of Business Administration

Department

Computer Science & Quantitative Methods

Faculty Mentor

David Wilson, Ph.D.; Johanna Okerlund, B.S.; and Madiha Tabassum, B.S., University of North Carolina, Charlotte

Abstract

As makerspaces are becoming more prevalent, the artifacts produced within them will have an increasing impact on the world. Thus, determining commonalities in what and why makers are creating is important to the promotion and expansion of communities that partake in socially relevant activities. This study analyzes maker artifacts in an attempt to discover underlying latent themes. Topic modelling by means of LDA is used as the primary tool to conduct the analyses. Additionally, attention is placed on the potential to apply these themes to graphic designs, with the purpose of expanding maker activities and further promoting the central values and ideals of Human Centered Design (HCD).

Recognized with an Award?

Second Place, UNCC REU Poster Presentation, Charlotte, North Carolina, July 2019

Previously Presented/Performed?

UNCC Research Experience for Undergraduates (REU) Poster Presentation, Charlotte, North Carolina, July 2019; Sixth Annual Showcase of Undergraduate Research and Creative Endeavors (SOURCE), Winthrop University, April 2020

Grant Support?

Supported by a Research Experience for Undergraduates (REU) grant from the National Science Foundation

Start Date

24-4-2020 12:00 AM

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COinS
 
Apr 24th, 12:00 AM

Artifact Classification and Value Promotion in Makerspaces

As makerspaces are becoming more prevalent, the artifacts produced within them will have an increasing impact on the world. Thus, determining commonalities in what and why makers are creating is important to the promotion and expansion of communities that partake in socially relevant activities. This study analyzes maker artifacts in an attempt to discover underlying latent themes. Topic modelling by means of LDA is used as the primary tool to conduct the analyses. Additionally, attention is placed on the potential to apply these themes to graphic designs, with the purpose of expanding maker activities and further promoting the central values and ideals of Human Centered Design (HCD).