Computational
Social
Science
Private
Microsoft research 👥
Duncan Watts 🚩
Universtities
UC Berkeley 👥
Princeton👥
Matt Salganik🚩
(sociology)
Northeastern Uni 👥
David Lazer🚩
Cornell University 👥
CSS group
CalTech 👥
Michael Alvarez 🚩
Computational Social Science ✏
book 2016
✏Computational Social Science
article in Nature 2009
data analysis
text analysis
statistical and supervised
⚠challenges
ethical: How data is collected
-individual privacy vs 'social supercollider'
Manual
unsupervised ML
MIT👥
Alex Pentland 🚩 #
(founder MIT Media Lab)
branches
computational social choice
-aggregation of preferences
of multiple agents
data collection
collect data
-recruit participants
-crowdsource participants
-design hypothesis and testing
reuse/repurpose data
more careful use of statistical tests
-confusion around p-values
generate data
by simulation
network analysis
social cotagion
clustered networks
multilayer networks
information transfer
interactions over time
computational journalism
social media usage biases
⭐advantages
large scale analysis
understanding of opinions and biases
Joshua Blumenstock 🚩
Hannah Wallach # 🎊
Google 👥
Jeremy Ginsberg
Funding & Councils
DARPA 👥
NSF 👥
Sebastian Benthall
(philosophy of CSS)
✏predicting the flu 2009
understand dynamics of
social movements
crowdsourcing biases
few CSS papers published in social science journals
citizen science
Sage Publishing 👥
-Ocean
Large available datasets:
-journals & newspapers API
-Google Ngram viewer
-Twitter and other API
-network data
-SEO data
etc
social network analysis
at least half social scientists
don't have the skills
pop-up [experiments]
(https://www.frontiersin.org/articles/10.3389/fphy.2015.00093/full) 
scalable
Imperial (UK) 👥
-ML initiative
Seth Flaxman
(math)
Yves-Alexandre de Montjoye
(computing) #
other groups/initiatives
Stanford 👥
Mark Algee-Hewitt
New York University 👥
Paul DiMaggio
-sociology 👤
We need better guidelines for curating textual data
pre-analysis #
University of Bristol 👥
Intelligent Systems Lab
Colin Campbell
cool projects, tools and other examples
Internet Archive
virtual reading room
Science Po 👥
Bruno Latour 🚩
(philosophy and sociology)
retired
Steven Strogatz
(math)
Ic2s2 community and conferece
IRiSS - center for computational social science
Michael Macy🚩
David Mimmo
Adam Russell
Harvard 👥
Gary King 🚩 #
perusall
thresher
The OpenScholar
UVA Netherlands👥
Damian Trilling
wrote Python for SS book
Vrije Unive Amsterdam 👥
CrowdTruth
collective intelligence
Lora Aroyo 🎊
Oana Inel 🎊
Chris Welty #
Topic modelling
counting co-occurrences/Latent Dirichlet Allocation
bag of words
sentiment based on word frequencies
NLP
distant reading #
Franco Moretti
CrowdTruth
n-grams
bias towards already digitised content
visualisation of Tolkien books: http://lotrproject.com/statistics/books/
emotions in 20th books: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0059030
pronoun frequencies by gender over time :http://languagelog.ldc.upenn.edu/nll/?p=4126
Nebraska 👥
Stephen Ramsay
(digital humanities)
✏ towards and algorithmic criticism
Google nGram viewer
nelatoolkit.science
Social Science One (facebook)
Sloan 👥
Josh Greenberg
NER
Parts of Speech
reading/annotation
rhetorical analysis
event extraction
computational cognition
predictive analytics -business intelligence
Bloomsbury.ai
(acquired by Facebook)
EMERGING
causal relation extraction
summarization
linguistic - handcrafted patterns (manual); most common is lexical clues
logical rules: also using deep semantic reasoning to infer additional rules
machine learning (supervised, un and semi)
Facebook 👥
Lada Adamic # 🎊
✏2018 opinion CSS=/soc science+computer
✏Bit by bit
collective intelligence
✏predicting social indicators with available data
-poverty in Africa with mobile phone metadata
predict poverty with mobile phone metadata
Blumenstock paper; best example of low cost prediction
Solomon Messing
University of Pennsylvania 👥
Sandra Gonzalez-Bailon 🎊 #
Consiglio Nazionale delle Ricerche 👥
Giulia Andrighetto 🎊
University of Minho PT 👤
Inês Amaral 🎊
Warwick 👥
Suzy Moat 🎊
Oxford 👥
Oxford Internet Institute
Helen Margetts 🎊
LSE 👥
Milena Tsvetkova 🎊
Taha Yasseri
GOKHAN CIFLIKLI
SÍLVIA MAJÓ-VÁZQUEZ 🎊
CHANUKI SERESINHE 🎊
Janet Pierrehumbert 🎊
Nello Cristianini
UC Davis 👥
Cuihua Shen 🎊
Leibnitz Institute for the Social Sciences 👥
GESIS
Claudia Wagner 🎊
Karen S Cook 🎊
sociology
Katrin Weller 🎊
Agnes Horvat 🎊
Ken Benoit
EC Joint Res Centre 👥
Alexandra Balahur 🎊
IBM 👥
Alexandra Olteanu 🎊
Lillian Lee 🎊
Pittsburg 👥
Janyce Wiebe 🎊
Diane Litman 🎊
Emily Falk 🎊
Jeff Hancock
social cyber-security
Santa Fe Institute 👥
Melinda Mills
Josh Tucker
Turing Institute
LinkedIn Economic Graph Research Program
Essex
James Allen Robertson
computational finance
simulations
agent based simulations
system level simulations