Summer School Series on Methods
for Computational Social Science
July 30th – August 4th, 2018
Los Angeles, USA
| March 20th, 2018 (midnight GMT) | Application Deadline |
| April 5th, 2018 | Notifications |
| July 30th, 2018 | Start of Summer School |
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).
Cheryl Abundo, Nanyang Technological University
Anupama Aggarwal, GESIS – Leibniz Institute for the Social Sciences
Laura Maria Alessandretti, ENS Lyon
Pablo Aragón, Universitat Pompeu Fabra
Andrea Baronchelli, City University
Arnim Bleier, GESIS – Leibniz Institute for the Social Sciences
Simone Centellegher, University of Trento
Marco De Nadai, Fondazione Bruno Kessler
Bruno Gonçalves, New York University
Iacopo Iacopini, Queen Mary University of London
Milan Janosov, Central European University
Cristina Kadar, ETH Zurich
Márton Karsai, ENS de Lyon
Marijn Keijzer, University of Groningen
Haiko Lietz, GESIS – Leibniz Institute for the Social Sciences
Jan Lorenz, Jacobs University Bremen
Sandro Meloni, University of Zaragoza
Lisa Merten, Hans-Bredow-Institut für Medienforschung Hamburg
Bruno Ribeiro, Purdue University
Johann Schaible, GESIS – Leibniz Institute for the Social Sciences
Rossano Schifanella, University of Turin
Sebastian Stier, GESIS – Leibniz Institute for the Social Sciences
Michele Tizzoni, ISI Foundation
Pinelopi Troullinou, The Open University
Milena Tsvetkova, University of Oxford
Enrico Ubaldi, University of Parma
Diliara Valeeva, University of Amsterdam
Semantically Enhanced Text Analysis: Ontologies, Knowledge Bases, Metadata and Applications
09:15 AMWord Embeddings – Semantics: What is in my Documents
11:00 AMNeural Nets for Language Modeling
09:00 AMMeasuring Culture using Big Data
11:00 AMThe Geometry of Meaning: Embedding and systematically interpreting text, tags and social networks
09:00 AMGetty Center: Museum, Architecture, Gardens
11:00 AMHitchhiker’s Guide to affect Detection from Text
09:00 AMAddressing Mental Health Challenges with Social Media
11:00 AMChoosing the right Method for the Task: Bottom-Up and Top-Down Approaches to Automated Content Analysis
09:00 AMDescriptive Inference for Text: Similarity, Sophistication, Style and Statistical Properties
11:00 AM| Speaker | Title |
|---|---|
| Bruno Gonçalves | Neural Nets for Language Modeling |
| Damian Trilling | Choosing the right Method for the Task: Bottom-Up and Top-Down Approaches to Automated Content Analysis |
| James Evans | The Geometry of Meaning: Embedding and systematically interpreting text, tags and social networks |
| Chris Bail | Measuring Culture using Big Data |
| Munmun De Choudhury | Addressing Mental Health Challenges with Social Media |
| Arthur Spirling | Descriptive Inference for Text: Similarity, Sophistication, Style and Statistical Properties |
| Miriam Fernandez | Semantically Enhanced Text Analysis: Ontologies, Knowledge Bases, Metadata and Applications |
| David Garcia | Hitchhiker's Guide to affect Detection from Text |
| Laura Dietz | Word Embeddings - Semantics: What is in my Documents |
We’re honoured to have amazing speakers who teach the basics and specifics of their research.
The summer school will take place at the Information Sciences Institute at the University of Sourthern California in sunny Los Angeles in the USA.
Meet excellent researchers and scholars – a great chance to develop cooperations for your career.
Socialize with all participants, enjoy amazing food and drinks close to the beach.
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).
Please upload the following documents (in one single pdf) at easychair (link below) and attach:
Motivation Letter (one page max)
CV and Publication List
Registration fee for the summer school: 100 USD
Breakfasts, lunch and 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, the 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
(enter title: application and your name / enter keywords: your research interests)
The summer school will take place at the Information Sciences Institute of the University of Southern California (USC) in Marina Del Rey, Los Angeles in the USA.
Accomodation options
Speakers and students with travel grants will stay at Jamaica Bay Inn, a waterfront hotel in Marina del Rey. Other participants are welcome to book their accomodation at Jamaica Bay Inn.
Alternatively, you can arrange your accomodation in one of the many hotels and Airbnb located in the city.
Arriving in Marina Del Rey
Marina Del Rey is around 4 miles away from the Los Angeles International Airport. At Terminal 7, take the airport shuttle bus Lax Lot C Shuttle to “Lax Lot C Shuttle Depot”, then take the bus R3 to “Lincoln Nb & Mindanao Fs” and walk around 4 minutes from the bus stop to USC Information Sciences Institute.
For step by step directions and updated schedules, please click here to check.
Information Sciences Institute
University of Southern California
4676 Admiralty Way, Suite 1001
Marina del Rey, CA 90292
USA
