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Hard and easy science
Published on 2008-10-178590 Views
Using examples of the application of quantitative ideas in social science (hard sciences) and recalling some approaches to complex problems in natural science (easy sciences) we suggest a path to deve
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Presentation
Easy and Hard Sciences: A Comparison and a Suggested Program00:00
Observations and suggestions of a physicist07:35
Predicting Terror Events09:29
Terror Scholarship11:35
State-of-the-art quantitative method12:17
The View From 200012:55
What did E & S do?14:10
Methodological problems with E &S16:26
E & S’s unjustified conclusion17:26
One clear outcome of this study17:34
Culture Clash, I18:02
Culture Clash, II20:15
A positive sign in these culture clashes20:27
A growing trend: Computational Modeling of Social Behavior22:23
Some Agent-based Modeling Projects23:02
Example of Simulation Approaches: TAPAS24:11
TAPAS Output27:12
TAPAS model29:16
Fortunately, there is significant experience with ‘hard’ problems in computational modeling29:33
Experiences with Computational Models30:00
Common path of experience in modeling complex systems31:31
Example: Energy Resource and Consumption Modeling33:05
Energy Resource and Consumption Modeling34:35
From discussions such as this, we suggest there are35:57
“Easy” sciences and “Hard” sciences38:41
Agent based interactions as models for easy and hard sciences39:54
Easy Sciences part140:11
Easy Sciences part242:38
Easy Sciences part343:04
Easy Sciences part444:12
Easy Sciences part544:53
Graph145:19
Graph245:38
Critical Lesson in ‘Easy’ Sciences46:09
‘Hard’ Sciences part147:35
‘Hard’ Sciences part252:01
Build Foundations for Quantitative, Predictive Studies52:29
Professional Enterprise53:23
Data Driven Enterprise53:26
Cumulative Enterprise53:27
Predictive53:28
Critical and Self-Critical Enterprise53:29
Global Enterprise53:31
Time for a little self-criticism53:32