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Program and Slides

Day 1 - Big data in the social sciences

Time

Event

9.30

Coffee and registration

10.00

Vasileios Lampos 

Mining socio-political and socio-economic signals from social media content

11.00

Questions and coffee break

11.30

Stephen Clark

Compositional and Multimodal Distributional Semantics

12.30

Questions

13.00

Lunch

14.00

Isabelle Augenstein

Workshop on general machine learning methods and techniques:

social media NLP examples, python and TensorFlow

16.00

English Afternoon Tea and Cakes

Day 2 - Network theory in the social sciences

 

Time

Event

10.00

Omar Guerrero

Understanding Unemployment in the Era of Big Data

11.00

Questions and coffee break

11.30

Lorenzo Pellis

Epidemics on networks

12.30

Questions

13.00

Lunch

14.30

Daniele Condorelli

Intermediation Networks

18.00

Social Dinner at Radcliffe

Day 3 - Empirical challenges in real world networks

 

Time

Event

9.30

Coffee

10.00

Thomas House

Too many questions, too little data

11.00

Questions and coffee break

11.30

Yann Bramoullé

Hiring Through Networks: Favors or Information?

12.30

Questions and closing remarks

   
 


Dates: 21st-23rd September

Location: All lectures will take place in the Mathematics building (Zeeman building) in the Complexity Science Department Room D1.07 First Floor (directions).

Abstracts of talks

Material and slides