Tuesday, December 15th at 4:15 in Allbritton 311
Classes will be but a memory, a bit of grit for your pearls of winter productivity. There will be nice snacks and cocktails of course, rye and gin, maraschino and lemon where they’re meant to be.
We’ll be there to hear about (and see) some of the diverse ways that we analyse, question, and shape images in our research. Come with your ideas about methods and experiences from your own work and we can share some of what we do across the campus. Teaching ourselves and our students how to analyze images and to analyze them differently is increasingly important.
To get our thoughts going, we’ll hear briefly from Nadja Aksamija (Art History), Christopher Chenier (Digital Design Studio), Steve Devoto (Biology), Justin Marks (Math), and Greg Voth (Physics).
At 4:30 on Wednesday November 4th, in 41 Wyllys, Room 112
In cooperation with the Allbritton Center, the Digital and Computational Knowledge Initiative (DACKI) is pleased to be bringing Matt Daniels to Wesleyan next week to give a talk Wednesday and then to meet with students in classes and small groups on Thursday.
He is a media artist and designer, fascinated with the possibilities of data-driven narrative. For Daniels, this has often meant analysing and illustrating the content and popularity of music, its lyrics, and its locations. He has produced infographics keyed to such things as the size of rappers’ vocabularies and the timelessness of some music based on Spotify data. He publishes an online magazine called Polygraph.
To mark the end of the teaching year, DACKI will be hosting its third year-end, relaxing introduction to the digital, featuring Manhattans & Martinis. On May 7th at 4:15 in Allbritton 311–the room with the view–come for a cocktail, some snacks, and conversation. We’ll listen to several of our colleagues share their reflections on trying to engage with digital and computational textual and content analysis in the classroom and in research.
There are a wide variety of software and methods available that promise to let us see and use our texts and entire textual corpora more effectively. Some also allow for parsing interviews, sounds, and visual content. In some cases, the data might be big, vast streams of tweets or advertising, but in others they are conventional bodies of literature or even just a few texts seen in a new light. Possibilities seem endless, a bit intimidating, and we hope to help by clarifying directions, since digital content analysis promises to enrichen teaching as much as research.
This should be a good way to start thinking of summer research and reading, and I hope to see you there.
In this talk Professor Schumaker, who teaches at Central Connecticut State University, will try to answer the question: “Can the sentiment contained in tweets serve as a meaningful proxy to predict match outcomes and if so, can the magnitude of these outcomes be similarly predicted based on the degree of sentiment?”
This talk should be an excellent place to learn about some of the key areas the initiative is trying to explore–big data and text analysis. The predictive power of sentiment analysis has been a consistent element of Schumaker’s work which he has applied to the stock market as well as sports.
There will be some refreshments available and we’ve found that a Friday afternoon talk can be a nice way to end the week. What’s more, this talk give you just enough time to work things out before the Saturday morning kickoffs and certainly before Chelsea goes to the Arsenal that Sunday.
Can the sentiment contained in tweets serve as meaningful proxy to predict match outcomes and if so, can the magnitude of these outcomes be similarly predicted based on the degree of sentiment? To answer these questions we constructed the CentralSport system to gather Tweets from the English Premier League and analyze their sentiment content for use in predicting match outcomes. From our analysis, we found that the models incorporating positive tweets were easier to profit from (All Positive model netted a $3,375.18 excess return). Looking deeper into the models we found point spread prediction was possible. Clubs with 1,000 or more negative tweets than their rival would typically lose by 1 goal (observed 65.2% of the time). Clubs with 2,000 to 10,000 more positive tweets would win by 1 goal (56.25%) and 10,000+ positive tweets would win by 2+ goals (100%). These results demonstrate the power of hidden information contained within tweet sentiment and has implications on wagering systems.
Friday, April 24th at 4:15 in Usdan 108
Between 1300 and 1550, church court across Europe frequently excommunicated delinquent debtors for breach of faith. This did not reflect the preoccupations of prelates or ecclesiastical judges, but widespread, popular demand for legal-religious remedies in matters of day-to-day, relatively minor credit.
By examining the practice of excommunication for debt in light of recent theories of network and organizations, we can glimpse how pre-Reformation believers understood the Church–and the market.
Tuesday, April 21st at 4:15pm in 113 Downey House
Ellen Thomas, Research Professor of Earth and Environmental Studies, is featured on the News @ Wesleyan blog.
“Up until recently, Thomas taught students about microfossils through microscope studies and by showing text book illustrations and images embedded in slide presentations. But with support from the National Science Foundation, Thomas and her peers were able to use cutting-edge technology to create high-resolution images and 3-D models of more than 40 microfossils in the phyla Foraminifera and Ostracoda.”
Read the full article here.
Wesleyan will host The New York Times’ Amanda Cox, who will give a talk on “Data Visualization at the New York Times.” Cox has been an essential part of one of the most interesting developments in contemporary journalism, the growth of data journalism, which in the innovative contexts of papers such as the Times and the Guardian have brought the analytic edge of social science back into journalism, most often by uniting it with powerful images. As Wesleyan prepares to launch its own data journalism course next year Cox, who teaches such a course at NYU, couldn’t be a more timely speaker.
Please announce it to your classes and come along yourself.
Thursday, February 19th at 4:15pm in Russell House.
Dr Silke Schwandt from Bielefeld University will lead an informal discussion of getting involved in collaborative digital humanities projects and integrating new text analysis methods in research. Schwandt will talk about her experience as a humanist involved in a large multi-year digital humanities project to make richly accessible the largest single body of medieval texts, and she worked to teach the computer how to recognise and ‘understand’ medieval Latin, in which most words have a very large number of forms. Her own research work used this database to analyse the political concept of Virtue in the central middle ages. She’ll start off by talking about her experiences.
Lunch will be served; if you hope to make it, or need more information, contact Gary Shaw.
Wednesday, February 10th at noon in Usdan 108.
Part of the goal of the Digital and Computational Knowledge Initiative is to get faculty to enrich their knowledge of techniques and concepts so we can then share it with a wider audience. Over the last couple of years, we have been keen to push network analysis to the forefront. This fall a group of faculty and students–undergraduate and graduate–have met weekly as part of a proseminar on networks (QAC 239) and we’d like to show and tell a bit about network theory and analysis, especially now that our first course introducing students to networking—is heavily subscribed and ready to launch this January. (QAC 241)
So please come join us for a Manhattans & Martinis seasonal fête, featuring good drinks, satisfying snacks, and easygoing discussion. We’ll meet on Monday, December 15th at 4PM in Allbritton 311.
You’ll be able to hear your colleagues give glimpses of the power and grace of network analysis. We’ll learn from David Beveridge, Psyche Loui, Francis Starr, and Pavel Oleinikov about what network analysis is, what it’s good for, and how you and your students can learn a little more about it.
By December 15th, the term will be over, the grading marinading, and the bartender will be tending her bar, from 4PM.