Program and Slides
Day 1 - Big data in the social sciences
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Time |
Event |
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9.30 |
Coffee and registration |
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10.00 |
Vasileios Lampos Mining socio-political and socio-economic signals from social media content |
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|
11.00 |
Questions and coffee break | |
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11.30 |
Stephen Clark Compositional and Multimodal Distributional Semantics |
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12.30 |
Questions |
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|
13.00 |
Lunch |
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|
14.00 |
Isabelle Augenstein Workshop on general machine learning methods and techniques: social media NLP examples, python and TensorFlow |
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|
16.00 |
English Afternoon Tea and Cakes |
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Day 2 - Network theory in the social sciences
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Time |
Event |
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10.00 |
Omar Guerrero Understanding Unemployment in the Era of Big Data |
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|
11.00 |
Questions and coffee break | |
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11.30 |
Lorenzo Pellis Epidemics on networks |
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12.30 |
Questions |
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|
13.00 |
Lunch |
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|
14.30 |
Daniele Condorelli Intermediation Networks |
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|
18.00 |
Social Dinner at Radcliffe |
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Day 3 - Empirical challenges in real world networks
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Time |
Event |
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9.30 |
Coffee |
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|
10.00 |
Thomas House Too many questions, too little data |
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11.00 |
Questions and coffee break | |
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11.30 |
Yann Bramoullé Hiring Through Networks: Favors or Information? |
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12.30 |
Questions and closing remarks |
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Location: All lectures will take place in the Mathematics building (Zeeman building) in the Complexity Science Department Room D1.07 First Floor (directions).