The Productive Scholar: Turning Freshmen into Scientists: Hardware, Software, and Hands-on Technology in the Field

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Topic: Turning Freshmen into Scientists: Hardware, Software, and Hands-on Technology in the FieldPS-FroshScientists-image2-web
Speakers: Adam Maloof and Frederik J. Simons

Time: Thursday, April 24, 4:30pm – 5:30pm (SPECIAL TIME!)
Location: HRC Classroom, 012 East Pyne, Lower Level

Refreshments will be provided. To register for this session: http://bit.ly/Frosh-Sci
(Registration is not required for attendance, however refreshments may be limited.)

For six years FRS 145/149/171/187 has taught students to define a hypothesis, collect data to test that hypothesis, analyze their data using quantitative techniques, and present their work in the form of scientific prose and figures.  Technology plays a central role in this mission, in the form of field instrumentation such as radar, magnetometry and GPS to collect data, and software such as Matlab and ArcGIS to analyze and present data. In this session Professors Adam Maloof and Frederick Simons will detail the lessons from their six year journey developing and refining their curriculum for turning Freshmen into scientists.

Adam Maloof is an Associate Professor of Geosciences. He is a field geologist who studies the rock record of the coevolution of animals and climate.

Frederik J. Simons is an Associate Professor of Geosciences. He is a geophysicist who specializes in the analysis of data from seismological networks and satellite gravity missions to study the structure and evolution of the Earth’s continents and their ice cover.

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The Productive Scholar: Overview of Q-APS: Social Science Research Support for Scholars

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Download the slides from this presentation: QAPS-Olmsted-slidesS2014

Topic: Overview of Q-APS (Program for Quantitative and Analytical Political Science): Social Science Research Support for Scholarsviews
Speaker: Jonathan Olmsted

Time: Thursday, April 17, 12:00pm – 1:00pm
Location: HRCC, 012 East Pyne, Lower Level

 

 

 

The Program for Quantitative and Analytical Political Science (Q-APS) offers training, consulting, and resources in support of social science and beyond. In this presentation, Jonathan Olmsted will outline and discuss examples of the ways Q-APS supports social science research at Princeton University for Princeton affiliates of all levels. The goal of this talk is to introduce these forms of support to a broader audience within the university.

SESSION RECAP: Jonathan provided a detailed overview of the various resources of Q-APS that are available to members of the campus. Though the focus of the presentation was on the social scientists Q-APS also works with humanists and those who, regardless of discipline, want to explore applying quantitative analysis to their research. Jonathan’s review included past and current examples of Q-APS’ support offerings including teaching…[more after the jump]

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The Productive Scholar: Risk in Media Discourse: An Introduction to Topic Modeling with R and Python

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Topic: Risk in Media Discourse: An Introduction to Topic Modeling with R and Python461972367(1)
Speaker: Manish Nag

Time: Thursday, April 10, 12:00pm – 1:00pm
Location: New Media Center (NMC), 130 Lewis Library, First Floor

Lunch will be provided. To register for this session: http://bit.ly/Risk-TM
(Registration is not required for attendance, however refreshments may be limited.)

Amidst global concerns over financial markets, terrorism, and outbreaks of disease, the term “risk” pervades contemporary Western media discourse. Manish Nag’s dissertation is interested in the overall landscape of risk in contemporary news media discourse, using the full text of the New York Times from 1987-2006. What are the predominant threads of discourse related to risk, how does this discourse grow and change over time?  Manish’s presentation presents how topic modeling can be used to help answer these questions.

Speaker
Manish Nag is a Doctoral Candidate in Sociology. His research seeks to understand the global landscape of media discourse on global risk, as well as change and resilience in global networks of people, goods and ideas. His research utilizes mapping, data visualization, the analysis of text, and social network analysis. Manish received his BA in Computer Science from Brown University, and has worked as a software engineer, entrepreneur, and manger prior to his graduate work.

Presentation co-sponsored with Digital Humanities Initiative at Princeton (DHI).

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The Productive Scholar: Tools for Text Analysis in the Humanities

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Text Analysis with NLTK Cheatsheet

Topic: Tools for Text Analysis in the Humanities170192449
Speaker: Ben Johnston

Time: Thursday, April 3, 12:00 PM – 1:00 PM
Location: New Media Center, 130 Lewis Library, First Floor

 

A sequel to last semester’s ‘Tools for Text Analysis in the Humanities’, this session will give participants a brief yet hands-on introduction to NLTK, the Natural Language Toolkit. This extension to the popular Python programming language is geared specifically toward computational work with written human language data. In this introduction, we will use tools from this library to tokenize a corpus into sentences, n-grams, and words, create word frequency lists, view concordances, and do part-of-speech tagging. In doing so, this session will also serve as a very gentle introduction to the Python programming language. Absolutely no experience with Python or with programming is expected or required.

SESSION RECAP: Presenter Ben Johnston started by providing a contextual framework for this session which focused on Natural Language Toolkit (NLTK) and Python. He emphasizing the impossibility of actually learning Python in an hour, and the importance of those who have developed a sincere enthusiasm for the applications of digital tool with which they’ve become familiar to engage in ‘knowledge sharing,’ with peers and others. Knowledge sharing requires knowledge but not at the expert level. Digital humanists should be encouraged to share knowledge even while they themselves are still learning (as you will likely never stop learning). Doing so reinforces learning and helps build community–both important aspects of gaining competency in the digital humanities. Here’s an excerpt from Ben’s introduction: Continue reading

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The Productive Scholar: Best Practices for File and Data Management

Topic: Best Practices for File and Data Management455164167
Speakers: Willow Dressel and Carla Zimowsk

Time: Thursday, March 27, 12:00 pm – 1:00 pmLocation: HRC Classroom, 012 East Pyne, Lower Level

Lunch will be provided. To register for this session: http://bit.ly/FileDataPractices
(Registration is not required for attendance, however refreshments may be limited)

Download the presentation slides:
ProdScholar-FileMgt-2014
DataManagementProductiveScholar

Willow Dressel and Carla Zimowsk will be “tag-teaming” this co-presentation on data matters central to all researchers. File Management: Whether gathered directly from archives or downloaded from online sources, digital research material can often wind up in a disorganized mess on your hard drive or in the “cloud,” impossible to easily locate again.  An old archivists saying claims “You don’t own it if you can’t find it!” Carla Zimowsk will focus on strategies and tools for keeping your digital research materials organized and discoverable. Data Management: More and more digital data are being used and created in the course of research, yet often little thought is given to managing this data for collaboration, future use, or preservation. Planning ahead for data management is the best way to address these needs. Willow Dressel will discuss creating data management plans and the importance of documenting your data.

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