Vassar College Digital Library

Vassar Scholarship

Vassar Scholarship, the institutional repository formerly known as Digital Window, reflects the research and scholarly output of the Vassar College community.  It provides access to a variety of collections, including senior theses and projects across a wide range of disciplines.

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Vassar Scholarship

Testing biological hypotheses with embodied robots: adaptations, accidents, and by-products in the evolution of vertebrates

Publication Date
2014-November-12
Document Type
article
Authors
Roberts, Sonia F.
Hirokawa, Jonathan
Rosenblum, Hannah G.
Sakhtah, Hassan
Gutierrez, Andres A.
Porter, Marianne E.
Long, John H., Jr.
Department or Program
Biology Department
Cognitive Science Department
Document Type
Article
Abstract

Evolutionary robotics allows biologists to test hypotheses about extinct animals. In our case, we modeled some of the first vertebrates, jawless fishes, in order to study the evolution of the trait after which vertebrates are named: vertebrae. …

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Vassar Scholarship

The "touch" versus the "see": tactility as a challenge against digital media in "Subway Therapy"

Publication Date
2017-January-01
Document Type
Senior Capstone Projects
Authors
Nguyen, Sieu
Department or Program
Media Studies Program
Document Type
Senior Capstone Project
Access Level
Vassar Only
Abstract

The thesis explores how the tactile aspect of "Subway Therapy," a project in which people could write messages on sticky notes after the 2016 Presidential Election and post them on the subway walls in New York City, fosters an alternative...

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Vassar Scholarship

Using NAICS to identify national industry cluster templates for applied regional analysis

Publication Date
2006-December-16
Document Type
working paper
Authors
Kelton, Christina M. L.
Margaret K. Pasquale
Rebelein, Robert P.
Department or Program
Economics Department
Document Type
Working Paper
Abstract

Whereas FESER and BERGMAN, 2000, developed the concept of national-level cluster templates and introduced a systematic methodology to identify such clusters, their technique and results were based on the now-outdated Standard Industrial Classification (SIC) system for categorizing industries. We update...

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