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Computational Text Analysis: The Cost of Conflict in Bankruptcy Reorganizations

Computational Text Analysis Working Group (CTAWG)

Title: The Cost of Conflict in Bankruptcy Reorganizations

Speaker: Kenneth Ayotte, Robert L. Bridges Professor of Law, UC Berkeley

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The Importance of Design Plans for Data Science

Posted: Apr, 20, 2021

By: Alex Stephenson

Since becoming a Data Fellow at the D-Lab, I have had the opportunity to assist many talented social scientists through the D-Lab’s Consulting service. A regular consulting request is to help with the research design for a new project. These requests are understandable. For empirical researchers, a high-quality research design makes or breaks a research project. In this post, I suggest a few benefits of writing a skeleton design plan before writing any code whatsoever.

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Machine Learning in Atmospheric Science

Posted: Apr, 20, 2021

By: Grazia Rovelli

Machine learning in atmospheric science

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Python Fundamentals: Parts 1-4

Overview

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 1 Topics:

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Special Talk: Public Meetings and Public Policy

Public meetings allow constituents to comment on matters before local governments, providing signals of public opinion in an otherwise low-information environment. Recent advances in the availability of administrative data have shown inequalities in who participates by race, age, and homeownership status. On housing and development issues, which occupy a large portion of local governments’ activity and deliberation, comments at public meetings are significantly less likely to support new development than the voting public.

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Introduction to MaxQDA for Education

Qualitative Data Analysis (QDA) software is used to organize and structure data, codes, memos, and other components of a qualitative study, as well as support engagement in analysis. This workshop is for qualitative researchers, new and established, interested in learning about MAXQDA, a software for which D-Lab provides substantive support. Assuming no prior knowledge in MAXQDA, this workshop will introduce participants to the website where the software can be downloaded and numerous training materials that can be accessed.

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R Geospatial Data: Parts 1-3

Overview

Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. 

Geospatial Data in R, part I:Getting started with spatial data objects

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