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Hard and easy science
Published on Oct 17, 20088585 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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Chapter list
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