Melinda A Weinstein - Academia.edu (original) (raw)
Papers by Melinda A Weinstein
The low graduation rates of underrepresented minorities and women in STEM have been attracting su... more The low graduation rates of underrepresented minorities and women in STEM have been attracting substantial attention in the past few years and requires intensive intervention leading to change in enrollment trends. For instance, while women were almost 40% of computer science graduates in the mid 1980’s, women's participation in computer science has gradually dropped to ~12%. The same trend is also observed in associate degrees, where women make up 62% of associate degree recipients, but just 25% of the computer science degrees, a substantial drop from 42% in 2000. Research-based education has been proven as one of the most effective interventions for recruitment and retention of minority students in STEM. Here we present a course-based research experience (CRE) approach to improving retention and graduation rates among underrepresented minority students. The new courses involve computer science majors and students from other disciplines – biology, psychology, and the arts. Students work...
Digital Humanities Quarterly, 2019
Talks by Melinda A Weinstein
Association for the Study of Western Esotericism, 2010
Additional visuals and notes.
“Recently it has been shown that computers are able to perform the task of analyzing visual art. ... more “Recently it has been shown that computers are able to perform the task of analyzing visual art. Such analysis provides a quantitative and objective approach to the understanding of art, and can expand on the ‘traditional’ subjective way fine art has been examined, appreciated, and studied in the past few hundred years” (Shamir 2013). While software has been shown to accurately sort artists into schools of art identified by art historians, and to show similarities between artists, and to authenticate paintings of questionable provenance, the question remains as to how macroanalysis can be effectively used to yield new insights into art history, artists, and artworks. Subjecting digital images of paintings to algorithmic analysis is not without its pitfalls. Current software cannot gauge irony, subversion, scale, and computers cannot easily recognize more abstract depictions and what they represent. Some programs create outputs that are not easily understood in art history terms. In this paper, we explore the particular case of Fernand Léger and his influences, using a new program developed at LTU to test and measure standard approaches to this artist’s work. Scholars have noted unequivocally that “Léger’s personal brand of cubism has little in common with Picasso and Braque.” Léger himself publicly allied himself with Cézanne, Rousseau, and Cendrars. In this paper we validate and measure these statements by determining which artists Léger is most similar to and what features make his work distinctive. This paper explores whether computer assisted methods validate and measure what we already know and what new insights might be obtained regarding Léger’s relationship to these artists.
Network Detroit , 2016
These are the visuals that accompany the presentation.
ASE Conference Paper , 2010
The low graduation rates of underrepresented minorities and women in STEM have been attracting su... more The low graduation rates of underrepresented minorities and women in STEM have been attracting substantial attention in the past few years and requires intensive intervention leading to change in enrollment trends. For instance, while women were almost 40% of computer science graduates in the mid 1980’s, women's participation in computer science has gradually dropped to ~12%. The same trend is also observed in associate degrees, where women make up 62% of associate degree recipients, but just 25% of the computer science degrees, a substantial drop from 42% in 2000. Research-based education has been proven as one of the most effective interventions for recruitment and retention of minority students in STEM. Here we present a course-based research experience (CRE) approach to improving retention and graduation rates among underrepresented minority students. The new courses involve computer science majors and students from other disciplines – biology, psychology, and the arts. Students work...
Digital Humanities Quarterly, 2019
Association for the Study of Western Esotericism, 2010
Additional visuals and notes.
“Recently it has been shown that computers are able to perform the task of analyzing visual art. ... more “Recently it has been shown that computers are able to perform the task of analyzing visual art. Such analysis provides a quantitative and objective approach to the understanding of art, and can expand on the ‘traditional’ subjective way fine art has been examined, appreciated, and studied in the past few hundred years” (Shamir 2013). While software has been shown to accurately sort artists into schools of art identified by art historians, and to show similarities between artists, and to authenticate paintings of questionable provenance, the question remains as to how macroanalysis can be effectively used to yield new insights into art history, artists, and artworks. Subjecting digital images of paintings to algorithmic analysis is not without its pitfalls. Current software cannot gauge irony, subversion, scale, and computers cannot easily recognize more abstract depictions and what they represent. Some programs create outputs that are not easily understood in art history terms. In this paper, we explore the particular case of Fernand Léger and his influences, using a new program developed at LTU to test and measure standard approaches to this artist’s work. Scholars have noted unequivocally that “Léger’s personal brand of cubism has little in common with Picasso and Braque.” Léger himself publicly allied himself with Cézanne, Rousseau, and Cendrars. In this paper we validate and measure these statements by determining which artists Léger is most similar to and what features make his work distinctive. This paper explores whether computer assisted methods validate and measure what we already know and what new insights might be obtained regarding Léger’s relationship to these artists.
Network Detroit , 2016
These are the visuals that accompany the presentation.
ASE Conference Paper , 2010