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Dear all,
The application for the second Summer School on Methods for Computational Social Science is still open until March 20, 2018. Please feel free to share the information.

2nd Summer School on Methods for Computational Social Science
Methods for Analyzing and Modeling Textual Data
July 30-August 4, 2018
Los Angeles, USA
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Twitter: @cs2_school<>, #cs2_school<>

Chris Bail (Duke University): Measuring Culture Using Big Data
Munmun De Choudhury (Georgia Tech): Addressing Mental Health Challenges with Social Media
Laura Dietz (University of New Hampshire): Word Embeddings - Semantics: What is in My Documents
James Evans (University of Chicago): The Geometry of Meaning: Embedding and Systematically Interpreting Text, Tags and Social Networks
David Garcia (Complexity Science Hub Vienna & Medical University of Vienna): Hitchhiker's Guide to Affect Detection from Text
Yolanda Gil (University of Southern California): Metadata, Ontologies, and the Semantic Web
Bruno Gonçalve (New York University): Neural Nets for Language Modeling
Arthur Spirling (New York University): Descriptive Inference for Text: Similarity, Sophistication, Style and Statistical Properties
Damian Trilling (University of Amsterdam): Choosing the Right Method for the Task: Bottom-Up and Top-Down Approaches to Automated Content Analysis

Claudia Wagner (GESIS - Leibniz-Institute for the Social Sciences & University of Koblenz-Landau)
Emilio Ferrara (University of Southern California)
Nicola Perra (Greenwich University)
Michael Macy (Cornell University)

Application deadline: March 20, 2018
Notifications: April 5, 2018
Summer School: July 30-August 4, 2018

The second summer school of this series focuses on methods for analyzing und modeling textual data (e.g. sentiment analysis, latent semantic models, causal inference methods for text data). We have invited outstanding speakers from different disciplines that will teach different methods and show how textual data can be used to answer interesting research questions that are relevant for the social sciences and gain insights into social phenomena like conflicts, radicalization, polarization and bias. Students will conduct small projects in which they will apply the newly learned methods and will be supervised by the invited speakers.

We will offer full financial support for up to 10 students (or early career researchers). Students have to apply for the travel grants and a committee of experts will select scholars based on academic excellence, financial needs and diversity (e.g., gender, ethnic and disciplinary diversity).

Please submit your motivation letter (one page max), CV and publication list via EasyChair:

The school is open to anyone interested in learning about Computational Social Science. The aim is to bring together an heterogeneous international group of people. However, we have a limited number of places for participants. That means everyone needs to apply (also if you have your own funding).

Registration fee for the summer school is 100 USD. Lunch, coffee breaks and a social event are included.

Please indicate in your motivation letter if you would like to apply for a travel grant which will cover your registration fee, accommodation for the whole week and basic travel costs. Please note that travel grants are intended for students. Please also indicate if you will only participate if you receive the travel grant or if we should also consider your application for normal positions if no travel grants are left. Students with travel grant will have to share rooms.

Best regards,
Miu Ting Ho

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