Wesleyan team takes first place in the regional Roland Berger’s Case for a Cause competition, follows in the footsteps of the win in 2018

Four team members, dressed in blazers and wearing masks, show thumbs up.
Celebrating the win outside of the Butterfields dorm. April 9, 2021. Left to right: Ransho Ueno, Pim Wandee, Sarah Rizky Ardhani, and Asa Sakornpant

Four sophomores from Wesleyan – Asa Sakornpant, Pim Wandee, Sarah Rizky Ardhani, and Ransho Ueno – won the New England regional competition in business consulting, hosted by the Boston office of Roland Berger. Read on for their thoughts on what makes a successful team, which parts of Wesleyan experience have helped them, and where do they see themselves in the future.

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Art history in a digital way: network analysis of Davison Art Center collections

Many know that Wesleyan has a very large collection of prints dating back to the 15th century, stored in the Davison Art Center (DAC). Not many are aware that, through the efforts of the DAC staff, the collection comes with an extensive dataset containing metadata for all records. In the fall of 2017, students from the Introduction to Network Analysis (QAC 241) got a chance to view some of the famous prints and then search for new insights in art history using their quantitative skills. This post describes the experiences, accomplishments, and challenges of working with art history data.

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What is Star Trek? IBM’s Alchemy Language API gives a dual answer

In case you have not noticed from the multiple TV ads, for a few years now IBM has been positioning itself as a Big Data company, with its Watson platform and cloud-based services.  One of them is the Alchemy Language API, which packs together functions for text analysis and information retrieval.  As part of learning how to handle this API from R, I tried it on a news story about a sci-fi book publishing business.  Overall, the results were strong, although not without some amusing quirks…

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Photo of the day – April 14, 2016

With rainy days finally over, students from the Introduction to Text Mining course (QAC 386) decided to hold the class outside, which they successfully did on the lawn near Allbritton Hall.  The topic of the day was tree parsing using openNLP package in R.In the photo, left to right: first row: Trisha Arora ’16, Taran … Read more