Канал: Summer Institute in Computational Social Science

How to Get a Job in Computational Social Science

How to Get a Job in Computational Social Science

How to Publish an Article in Computational Social Science

How to Publish an Article in Computational Social Science

How to Get Grants in Computational Social Science

How to Get Grants in Computational Social Science

How to Publish a Book in Computational Social Science

How to Publish a Book in Computational Social Science

Computational Advances in Social Science Experiments

Computational Advances in Social Science Experiments

Behind the Bot Study

Behind the Bot Study

Academic Research with the Twitter API v2

Academic Research with the Twitter API v2

Digital Trace Data Case Studies Using Social Media Advertising Data

Digital Trace Data Case Studies Using Social Media Advertising Data

Digital Trace Data Introduction

Digital Trace Data Introduction

Data Ethics Section 2: Ethical Considerations and Case Study

Data Ethics Section 2: Ethical Considerations and Case Study

Data Ethics Section 1: Data isn't just data, and ethical considerations

Data Ethics Section 1: Data isn't just data, and ethical considerations

Experimental Possibilities of Generative Language Models

Experimental Possibilities of Generative Language Models

Representing Text as Data

Representing Text as Data

Measurement and Causal Inference Using Text as Data

Measurement and Causal Inference Using Text as Data

Introduction to Computational Social Science

Introduction to Computational Social Science

Why SICSS?

Why SICSS?

Taking Quantitative Description Seriously

Taking Quantitative Description Seriously

Tutorial on deep learning for causal inference

Tutorial on deep learning for causal inference

Using images and video data for social science: Challenges and opportunities

Using images and video data for social science: Challenges and opportunities

Introduction to text analysis in python

Introduction to text analysis in python

Communicate and Collaborate

Communicate and Collaborate

Modeling

Modeling

Programming Basics in R

Programming Basics in R

Data Visualization

Data Visualization

Data Wrangling

Data Wrangling

R Basics

R Basics

Installing R and RStudio

Installing R and RStudio

Welcome to SICSS Bootcamp

Welcome to SICSS Bootcamp

Using Empirica for High Throughput Virtual Lab Experiments

Using Empirica for High Throughput Virtual Lab Experiments

Opportunities and Challenges with Industry Collaborations

Opportunities and Challenges with Industry Collaborations

Creating Open Source Software as Part of an Academic Career

Creating Open Source Software as Part of an Academic Career

Computational Social Science to Address the (Post) COVID-19 Reality

Computational Social Science to Address the (Post) COVID-19 Reality

Panel Discussion on Digital and Computational Demography

Panel Discussion on Digital and Computational Demography

Discussion on Diversity in Computational Social Science

Discussion on Diversity in Computational Social Science

Panel Discussion on Teaching Computational Social Science

Panel Discussion on Teaching Computational Social Science

An Introduction to Topic Modeling

An Introduction to Topic Modeling

Zero Variable Cost Data and Music Lab

Zero Variable Cost Data and Music Lab

What, why, and which experiments?

What, why, and which experiments?

Moving beyond simple experiments

Moving beyond simple experiments

Four strategies for making experiments happen

Four strategies for making experiments happen

3Rs

3Rs

Human computation

Human computation

Open Call

Open Call

Introduction to Mass Collaboration

Introduction to Mass Collaboration

Fragile Families Challenge

Fragile Families Challenge

Distributed Data Collection

Distributed Data Collection

Survey Research in the Digital Age

Survey Research in the Digital Age

Additions and extensions

Additions and extensions

Combining surveys and big data

Combining surveys and big data

Computer-administered interviews

Computer-administered interviews

Probability and non-probability sampling

Probability and non-probability sampling

Topic Models

Topic Models

Text Networks

Text Networks

An Introduction to Text Analysis

An Introduction to Text Analysis

Dictionary-Based Text Analysis

Dictionary-Based Text Analysis

Text Analysis Basics

Text Analysis Basics

Screenscraping for Computational Social Scientists

Screenscraping for Computational Social Scientists

Ethics Additions and Extensions

Ethics Additions and Extensions

Ethics and Computational Social Science (part 1)

Ethics and Computational Social Science (part 1)

What is Digital Trace Data?

What is Digital Trace Data?

Application Programming Interface

Application Programming Interface

Strengths and Weaknesses of Digital Trace Data

Strengths and Weaknesses of Digital Trace Data

An Introduction to Computational Social Science

An Introduction to Computational Social Science

Ethics and Computational Social Science (Part 2)

Ethics and Computational Social Science (Part 2)

Why SICSS?

Why SICSS?

Building Apps and Bots for Computational Social Science Research

Building Apps and Bots for Computational Social Science Research

SICSS 2019 @ RTI International -- Group projects (2)

SICSS 2019 @ RTI International -- Group projects (2)

SICSS 2019 @ RTI International -- Group projects (3)

SICSS 2019 @ RTI International -- Group projects (3)

SICSS 2019 @ RTI International -- Group projects (4)

SICSS 2019 @ RTI International -- Group projects (4)

SICSS 2019 @ RTI International -- Group projects (5)

SICSS 2019 @ RTI International -- Group projects (5)

SICSS 2019 @ RTI International -- Group projects (6)

SICSS 2019 @ RTI International -- Group projects (6)

SICSS 2019 @ RTI International -- Group projects (1)

SICSS 2019 @ RTI International -- Group projects (1)

SICSS 2019 -- Basic text analysis with grep

SICSS 2019 -- Basic text analysis with grep

SICSS 2019 -- Zero variable cost data

SICSS 2019 -- Zero variable cost data

SICSS 2019 -- Screen scraping

SICSS 2019 -- Screen scraping

SICSS 2019 -- Introduction to computational social science

SICSS 2019 -- Introduction to computational social science

SICSS 2019 -- Four strategies for making experiments happen

SICSS 2019 -- Four strategies for making experiments happen

SICSS 2019 -- What, why, and which experiments?

SICSS 2019 -- What, why, and which experiments?

SICSS 2019 -- Moving beyond simple experiments

SICSS 2019 -- Moving beyond simple experiments

SICSS 2019 -- Abdullah Almaatouq

SICSS 2019 -- Abdullah Almaatouq

SICSS 2019 -- Application programming interfaces

SICSS 2019 -- Application programming interfaces

SICSS 2019 -- History of quantitative text analysis

SICSS 2019 -- History of quantitative text analysis

SICSS 2019 -- Building apps and bots for social science research

SICSS 2019 -- Building apps and bots for social science research

SICSS 2019 -- Annie Liang

SICSS 2019 -- Annie Liang

SICSS 2019 -- Justin Grimmer

SICSS 2019 -- Justin Grimmer

SICSS 2019 -- Chris Wiggins

SICSS 2019 -- Chris Wiggins

SICSS 2019 -- Eric Schwartz

SICSS 2019 -- Eric Schwartz

SICSS 2019 -- Beth Noveck

SICSS 2019 -- Beth Noveck

SICSS 2019 -- Survey research in the digital age

SICSS 2019 -- Survey research in the digital age

SICSS 2019 -- Text networks

SICSS 2019 -- Text networks

SICSS 2019 -- Dictionary-based text analysis

SICSS 2019 -- Dictionary-based text analysis

SICSS 2019 -- Probability and non probability sampling

SICSS 2019 -- Probability and non probability sampling

SICSS 2019 -- Topic models

SICSS 2019 -- Topic models

SICSS 2019 -- Combining surveys and big data

SICSS 2019 -- Combining surveys and big data

SICSS 2019 -- Mass collaboration

SICSS 2019 -- Mass collaboration

SICSS 2019 -- Day 4 group exercise

SICSS 2019 -- Day 4 group exercise

SICSS 2019 -- Ethical challenges

SICSS 2019 -- Ethical challenges

SICSS 2019 -- Computer administered interviews and wiki surveys

SICSS 2019 -- Computer administered interviews and wiki surveys

SICSS 2019 -- Participating in the Fragile Families Challenge

SICSS 2019 -- Participating in the Fragile Families Challenge

SICSS 2019 -- Ethics: A principles based approach

SICSS 2019 -- Ethics: A principles based approach

SICSS 2019 -- The Fragile Families Challenge

SICSS 2019 -- The Fragile Families Challenge

SICSS 2019 -- Strengths and weakness of digital trace data

SICSS 2019 -- Strengths and weakness of digital trace data

SICSS 2019 -- What is digital trace data?

SICSS 2019 -- What is digital trace data?

SICSS 2019 -- Day 1 group exercise

SICSS 2019 -- Day 1 group exercise

SICSS 2019 -- Why SICSS?

SICSS 2019 -- Why SICSS?

SICSS 2019 Slideshow

SICSS 2019 Slideshow

SICSS 2019 -- Jobs in Computational Social Science

SICSS 2019 -- Jobs in Computational Social Science

SICSS 2019

SICSS 2019

SICSS 2019 -- Chris Wiggins

SICSS 2019 -- Chris Wiggins

SICSS 2019 -- Eric Schwartz

SICSS 2019 -- Eric Schwartz

SICSS 2019 -- Experiments (with Abdullah Almaatouq)

SICSS 2019 -- Experiments (with Abdullah Almaatouq)

SICSS 2019 -- Annie Liang

SICSS 2019 -- Annie Liang

SICSS 2019 -- Day 5 (Mass Collaboration)

SICSS 2019 -- Day 5 (Mass Collaboration)

SICSS 2019 -- Day 4 (Surveys)

SICSS 2019 -- Day 4 (Surveys)

SICSS 2019 -- Justin Grimmer

SICSS 2019 -- Justin Grimmer

SICSS 2019 -- Day 3 (Text as Data)

SICSS 2019 -- Day 3 (Text as Data)

SICSS 2019 -- Beth Noveck

SICSS 2019 -- Beth Noveck

SICSS 2019 -- Day 2 (Digital Traces)

SICSS 2019 -- Day 2 (Digital Traces)

SICSS 2019 -- Day 1 (Ethics)

SICSS 2019 -- Day 1 (Ethics)

SICSS 2018 Deen Freelon

SICSS 2018 Deen Freelon

SICSS 2018 Duncan Watts

SICSS 2018 Duncan Watts

SICSS 2018 Sendhil Mullainathan

SICSS 2018 Sendhil Mullainathan

SICSS 2018 Jim Wilson

SICSS 2018 Jim Wilson

SICSS 2018 Monica Lee

SICSS 2018 Monica Lee

SICSS 2018 - History of Quantitative Text Analysis (Day 3. June 20, 2018)

SICSS 2018 - History of Quantitative Text Analysis (Day 3. June 20, 2018)

SICSS 2018 - Building Apps and Bots for Social Science Research (Day 2. June 19, 2018)

SICSS 2018 - Building Apps and Bots for Social Science Research (Day 2. June 19, 2018)

SICSS 2018 - Introduction to Computational Social Science (Day 1. June 18, 2018)

SICSS 2018 - Introduction to Computational Social Science (Day 1. June 18, 2018)

SICSS 2018 - What is Digital Trace Data? (Day 2. June 19, 2018)

SICSS 2018 - What is Digital Trace Data? (Day 2. June 19, 2018)

SICSS 2018 - Strengths and Weakness of Digital Trace Data (Day 2. June 19, 2018)

SICSS 2018 - Strengths and Weakness of Digital Trace Data (Day 2. June 19, 2018)

SICSS 2018 - Screen-Scraping (Day 2. June 19, 2018)

SICSS 2018 - Screen-Scraping (Day 2. June 19, 2018)

SICSS 2018 - Application Programming Interfaces (Day 2. June 19, 2018)

SICSS 2018 - Application Programming Interfaces (Day 2. June 19, 2018)

SICSS 2018 - Dictionary-Based Text Analysis (Day 3. June 20, 2018)

SICSS 2018 - Dictionary-Based Text Analysis (Day 3. June 20, 2018)

SICSS 2018 - Basic Text Analysis/GREP (Day 3. June 20, 2018)

SICSS 2018 - Basic Text Analysis/GREP (Day 3. June 20, 2018)

SICSS 2018 - Why SICSS? (Day 1. June 18, 2018)

SICSS 2018 - Why SICSS? (Day 1. June 18, 2018)

SICSS 2018 - Topic Models/Structural Topic Models (Day 3. June 20, 2018)

SICSS 2018 - Topic Models/Structural Topic Models (Day 3. June 20, 2018)

SICSS 2018 - Text Networks (Day 3. June 20, 2018)

SICSS 2018 - Text Networks (Day 3. June 20, 2018)

SICSS 2018 - Ethics: Principles-Based Approach (Day 1. June 18, 2018)

SICSS 2018 - Ethics: Principles-Based Approach (Day 1. June 18, 2018)

SICSS 2018 - Four areas of difficulty in computational social science (Day 1. June 18, 2018)

SICSS 2018 - Four areas of difficulty in computational social science (Day 1. June 18, 2018)

SICSS 2018 - Probability and Non Probability Sampling (Day 4. June 21, 2018)

SICSS 2018 - Probability and Non Probability Sampling (Day 4. June 21, 2018)

SICSS 2018 - Combining Surveys and Big Data (Day 4. June 21, 2018)

SICSS 2018 - Combining Surveys and Big Data (Day 4. June 21, 2018)

SICSS 2018 - What, why, and which experiments? (Day 6. June 23, 2018)

SICSS 2018 - What, why, and which experiments? (Day 6. June 23, 2018)

SICSS 2018 - Moving Beyond Simple Experiments (Day 6. June 23, 2018)

SICSS 2018 - Moving Beyond Simple Experiments (Day 6. June 23, 2018)

SICSS 2018 - Computer Administered Interviews and Wiki Surveys (Day 4. June 21, 2018)

SICSS 2018 - Computer Administered Interviews and Wiki Surveys (Day 4. June 21, 2018)

SICSS 2018 - Distributed Data Collection (Day 5. June 22, 2018)

SICSS 2018 - Distributed Data Collection (Day 5. June 22, 2018)

SICSS 2018 - Survey Research in the Digital Age (Day 4. June 21, 2018)

SICSS 2018 - Survey Research in the Digital Age (Day 4. June 21, 2018)

SICSS 2018 - Human Computation (Day 5. June 22, 2018)

SICSS 2018 - Human Computation (Day 5. June 22, 2018)

SICSS 2018 - 3 R's (Day 6. June 23, 2018)

SICSS 2018 - 3 R's (Day 6. June 23, 2018)

SICSS 2018 - Mass Collaboration (Day 5. June 22, 2018)

SICSS 2018 - Mass Collaboration (Day 5. June 22, 2018)

SICSS 2018 - Open Call (Day 5. June 22, 2018)

SICSS 2018 - Open Call (Day 5. June 22, 2018)

SICSS 2018 - Four Strategies for Experiments (Day 6. June 23, 2018)

SICSS 2018 - Four Strategies for Experiments (Day 6. June 23, 2018)

SICSS 2018 - Zero Variable Cost Data and Musiclab (Day 6. June 23, 2018)

SICSS 2018 - Zero Variable Cost Data and Musiclab (Day 6. June 23, 2018)

SICSS 2018 Slideshow

SICSS 2018 Slideshow

Preview: Room for SICSS 2018

Preview: Room for SICSS 2018

SICSS 2017 - Why SICSS? (Day 1. June 19, 2017)

SICSS 2017 - Why SICSS? (Day 1. June 19, 2017)

SICSS 2017 - Introduction to Computational Social Science (Day 1. June 19, 2017)

SICSS 2017 - Introduction to Computational Social Science (Day 1. June 19, 2017)

SICSS 2017 - Combining Surveys and Big Data (Day 4. June 22, 2017)

SICSS 2017 - Combining Surveys and Big Data (Day 4. June 22, 2017)

SICSS 2017 - Probability and Non-Probability Sampling (Day 4. June 22, 2017)

SICSS 2017 - Probability and Non-Probability Sampling (Day 4. June 22, 2017)

SICSS 2017 - Computer-Administered Interviews and Wiki Surveys (Day 4. June 22, 2017)

SICSS 2017 - Computer-Administered Interviews and Wiki Surveys (Day 4. June 22, 2017)

SICSS 2017 - Application Programming Interfaces (Day 2. June 20, 2017)

SICSS 2017 - Application Programming Interfaces (Day 2. June 20, 2017)

SICSS 2017 - Apps for Social Science Research (Day 2. June 20, 2017)

SICSS 2017 - Apps for Social Science Research (Day 2. June 20, 2017)

SICSS 2017 - Screen-Scraping (Day 2. June 20, 2017)

SICSS 2017 - Screen-Scraping (Day 2. June 20, 2017)

SICSS 2017 - Strength and Weakness of Digital Trace Data (Day 2. June 20, 2017)

SICSS 2017 - Strength and Weakness of Digital Trace Data (Day 2. June 20, 2017)

SICSS 2017 - Ethics: Principles-Based Approach (Day 1. June 19, 2017)

SICSS 2017 - Ethics: Principles-Based Approach (Day 1. June 19, 2017)

SICSS 2017 - Four Areas of Difficulty in Computational Social Science (Day 1. June 19, 2017)

SICSS 2017 - Four Areas of Difficulty in Computational Social Science (Day 1. June 19, 2017)

SICSS 2017 - Welcome and Schedule (Day 2. June 20, 2017)

SICSS 2017 - Welcome and Schedule (Day 2. June 20, 2017)

SICSS 2017 - What is Digital Trace Data (Day 2. June 20, 2017)

SICSS 2017 - What is Digital Trace Data (Day 2. June 20, 2017)

SICSS 2017 - Survey Research in the Digital Age (Day 4. June 22, 2017)

SICSS 2017 - Survey Research in the Digital Age (Day 4. June 22, 2017)

SICSS 2017 - Welcome and Schedule (Day 4. June 22, 2017)

SICSS 2017 - Welcome and Schedule (Day 4. June 22, 2017)

SICSS 2017 - Human Computation (Day 5. June 23, 2017)

SICSS 2017 - Human Computation (Day 5. June 23, 2017)

SICSS 2017 - Open Call (Day 5. June 23, 2017)

SICSS 2017 - Open Call (Day 5. June 23, 2017)

SICSS 2017 - 3Rs: Replace, Refine, Reduce (Day 6. June 24, 2017)

SICSS 2017 - 3Rs: Replace, Refine, Reduce (Day 6. June 24, 2017)

SICSS 2017 - Four Strategies for Experiments (Day 6. June 24, 2017)

SICSS 2017 - Four Strategies for Experiments (Day 6. June 24, 2017)

SICSS 2017 - Moving Beyond Simple Experiments (Day 6. June 24, 2017)

SICSS 2017 - Moving Beyond Simple Experiments (Day 6. June 24, 2017)

SICSS 2017 - Zero Variable Cost Data and Musiclab (Day 6. June 24, 2017)

SICSS 2017 - Zero Variable Cost Data and Musiclab (Day 6. June 24, 2017)

SICSS 2017 - Guest Lecture by Deborah Estrin (Day 11. June 29, 2017)

SICSS 2017 - Guest Lecture by Deborah Estrin (Day 11. June 29, 2017)

SICSS 2017 - Guest Lecture by Gary King (Day 2. June 20, 2017)

SICSS 2017 - Guest Lecture by Gary King (Day 2. June 20, 2017)

SICSS 2017 - Guest Lecture by Winter Mason (Day 9. June 27, 2017)

SICSS 2017 - Guest Lecture by Winter Mason (Day 9. June 27, 2017)

SICSS 2017 - What, Why, and Which Experiments? (Day 6. June 24, 2017)

SICSS 2017 - What, Why, and Which Experiments? (Day 6. June 24, 2017)

SICSS 2017 - Guest Lecture by Markus Mobius (Day 5. June 23, 2017)

SICSS 2017 - Guest Lecture by Markus Mobius (Day 5. June 23, 2017)

SICSS 2017 - Welcome and Schedule (Day 6. June 24, 2017)

SICSS 2017 - Welcome and Schedule (Day 6. June 24, 2017)

SICSS 2017 - Mass Collaboration (Day 5. June 23, 2017)

SICSS 2017 - Mass Collaboration (Day 5. June 23, 2017)

SICSS 2017 - Welcome and Schedule (Day 5. June 23, 2017)

SICSS 2017 - Welcome and Schedule (Day 5. June 23, 2017)

SICSS 2017 - Fragile Families Challenge (Day 5. June 23, 2017)

SICSS 2017 - Fragile Families Challenge (Day 5. June 23, 2017)

SICSS 2017 - Distributed Data Collection (Day 5. June 23, 2017)

SICSS 2017 - Distributed Data Collection (Day 5. June 23, 2017)

SICSS 2017 - Design Advice (Day 5. June 23, 2017)

SICSS 2017 - Design Advice (Day 5. June 23, 2017)

SICSS 2017 - Guest Lecture by Sandra Gonzalez-Bailon (Day 4. June 22, 2017)

SICSS 2017 - Guest Lecture by Sandra Gonzalez-Bailon (Day 4. June 22, 2017)

SICSS 2017 - Topic Models and Beyond (Brandon Stewart) (Day 3. June 21, 2017)

SICSS 2017 - Topic Models and Beyond (Brandon Stewart) (Day 3. June 21, 2017)

SICSS 2017 - Welcome and Agenda (Day 3. June 21, 2017)

SICSS 2017 - Welcome and Agenda (Day 3. June 21, 2017)

SICSS 2017 - Strengths and Weaknesses of Quantitative Text Analysis (Day 3. June 21, 2017)

SICSS 2017 - Strengths and Weaknesses of Quantitative Text Analysis (Day 3. June 21, 2017)

SICSS 2017 - Group Exercises (Day 3. June 21, 2017)

SICSS 2017 - Group Exercises (Day 3. June 21, 2017)

SICSS 2017 - History of Quantitative Text Analysis (Day 3. June 21, 2017)

SICSS 2017 - History of Quantitative Text Analysis (Day 3. June 21, 2017)

SICSS 2017 - Dictionary-Based Text Analysis (Day 3. June 21, 2017)

SICSS 2017 - Dictionary-Based Text Analysis (Day 3. June 21, 2017)

SICSS 2017 - Ngram Networks (Day 3. June 21, 2017)

SICSS 2017 - Ngram Networks (Day 3. June 21, 2017)

SICSS 2017 - Basic Text Analysis/GREP (Day 3. June 21, 2017)

SICSS 2017 - Basic Text Analysis/GREP (Day 3. June 21, 2017)

20170621 Lecture by Brandon Stewart

20170621 Lecture by Brandon Stewart