Mathematics for Social and Behavior Sciences

143
Mathematics for Social and Behavior Sciences Don Saari Math and Institute for Math Behavioral Sciences www.imbs.uci.edu University of California, Irvine 92697-5100 [email protected] Monday, October 13, 14

Transcript of Mathematics for Social and Behavior Sciences

Page 1: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Monday, October 13, 14

Page 2: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive:

Monday, October 13, 14

Page 3: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Monday, October 13, 14

Page 4: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:

Monday, October 13, 14

Page 5: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Monday, October 13, 14

Page 6: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students:

Monday, October 13, 14

Page 7: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciences

Monday, October 13, 14

Page 8: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Monday, October 13, 14

Page 9: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Monday, October 13, 14

Page 10: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Conference video link

Monday, October 13, 14

Page 11: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Conference video link

Opportunities: leadership

Monday, October 13, 14

Page 12: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Conference video link

Opportunities: leadershipOpportunities: Students

Monday, October 13, 14

Page 13: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Conference video link

Opportunities: leadershipOpportunities: Students

Finance

Monday, October 13, 14

Page 14: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Monday, October 13, 14

Page 15: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science

Monday, October 13, 14

Page 16: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Monday, October 13, 14

Page 17: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 18: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 19: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 20: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 21: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!Conceptual understanding--they will be facing new problems

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 22: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!Conceptual understanding--they will be facing new problemsE.g., Riemann sums vs integrals

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 23: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!Conceptual understanding--they will be facing new problemsE.g., Riemann sums vs integrals

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 24: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!Conceptual understanding--they will be facing new problemsE.g., Riemann sums vs integrals

Firm belief:

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 25: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!Conceptual understanding--they will be facing new problemsE.g., Riemann sums vs integrals

Firm belief:All students need exposure to

computing and data

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 26: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!Conceptual understanding--they will be facing new problemsE.g., Riemann sums vs integrals

Firm belief:All students need exposure to

computing and dataMatlab

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 27: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!Conceptual understanding--they will be facing new problemsE.g., Riemann sums vs integrals

Firm belief:All students need exposure to

computing and dataMatlab

Statistics

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 28: Mathematics for Social and Behavior Sciences

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine [email protected]

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students: moved into math of social and

behavioral sciencesDirector of institute

Problems

What is needed; particularly in first couple of years?

I do believe that calculus is far more naturally connected to econ and stats than engineering.Much in calculus can be dropped!Conceptual understanding--they will be facing new problemsE.g., Riemann sums vs integrals

Firm belief:All students need exposure to

computing and dataMatlab

StatisticsBayesian “updating”

Conference video link

Opportunities: leadershipOpportunities: Students

FinanceEconomics, management, OR

Political Science Sociology

Cognitive SciencesMonday, October 13, 14

Page 29: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

Monday, October 13, 14

Page 30: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Monday, October 13, 14

Page 31: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Monday, October 13, 14

Page 32: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Monday, October 13, 14

Page 33: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

Monday, October 13, 14

Page 34: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

Monday, October 13, 14

Page 35: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

Monday, October 13, 14

Page 36: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

Monday, October 13, 14

Page 37: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Monday, October 13, 14

Page 38: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Monday, October 13, 14

Page 39: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Monday, October 13, 14

Page 40: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Monday, October 13, 14

Page 41: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Monday, October 13, 14

Page 42: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

Monday, October 13, 14

Page 43: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

Monday, October 13, 14

Page 44: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

Monday, October 13, 14

Page 45: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Monday, October 13, 14

Page 46: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Monday, October 13, 14

Page 47: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Monday, October 13, 14

Page 48: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Monday, October 13, 14

Page 49: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

Monday, October 13, 14

Page 50: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

Monday, October 13, 14

Page 51: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Monday, October 13, 14

Page 52: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Monday, October 13, 14

Page 53: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

Monday, October 13, 14

Page 54: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

Monday, October 13, 14

Page 55: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

Monday, October 13, 14

Page 56: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

Monday, October 13, 14

Page 57: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Monday, October 13, 14

Page 58: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?

Monday, October 13, 14

Page 59: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Monday, October 13, 14

Page 60: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Monday, October 13, 14

Page 61: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Monday, October 13, 14

Page 62: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Rather than voter preferences, an election outcome can

Monday, October 13, 14

Page 63: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Rather than voter preferences, an election outcome can reflect the choice of an election method!

Monday, October 13, 14

Page 64: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Rather than voter preferences, an election outcome can reflect the choice of an election method!

Basic problem faced by mathematics of social choice;

Monday, October 13, 14

Page 65: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Rather than voter preferences, an election outcome can reflect the choice of an election method!

Basic problem faced by mathematics of social choice;How do we find an “appropriate decision method?”

Monday, October 13, 14

Page 66: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Rather than voter preferences, an election outcome can reflect the choice of an election method!

Basic problem faced by mathematics of social choice;How do we find an “appropriate decision method?”

But, this is a simple aggregation method: social and behavioral Basic problem faced by mathematics of economics;

How do we find an “appropriate ----”Monday, October 13, 14

Page 67: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Rather than voter preferences, an election outcome can reflect the choice of an election method!

Basic problem faced by mathematics of social choice;How do we find an “appropriate decision method?”

But, this is a simple aggregation method: social and behavioral Basic problem faced by mathematics of economics;

How do we find an “appropriate ----”

Mathematics?

Monday, October 13, 14

Page 68: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Rather than voter preferences, an election outcome can reflect the choice of an election method!

Basic problem faced by mathematics of social choice;How do we find an “appropriate decision method?”

But, this is a simple aggregation method: social and behavioral Basic problem faced by mathematics of economics;

How do we find an “appropriate ----”

Mathematics?Reductionist

Monday, October 13, 14

Page 69: Mathematics for Social and Behavior Sciences

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

PluralityMilk-6, Beer-5, Wine-4

Milk Wine

6 9

Milk Beer

6 9

Beer Wine

5 10

PairwiseWine, Beer, Milk

Beer?Runoff election

Rather than voter preferences, an election outcome can reflect the choice of an election method!

Basic problem faced by mathematics of social choice;How do we find an “appropriate decision method?”

But, this is a simple aggregation method: social and behavioral Basic problem faced by mathematics of economics;

How do we find an “appropriate ----”

Mathematics?Reductionist

Symmetry groups

Monday, October 13, 14

Page 70: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Monday, October 13, 14

Page 71: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:

Monday, October 13, 14

Page 72: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Monday, October 13, 14

Page 73: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

Monday, October 13, 14

Page 74: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Monday, October 13, 14

Page 75: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:

Monday, October 13, 14

Page 76: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.

Monday, October 13, 14

Page 77: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Monday, October 13, 14

Page 78: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available

Monday, October 13, 14

Page 79: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Monday, October 13, 14

Page 80: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased

Monday, October 13, 14

Page 81: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Monday, October 13, 14

Page 82: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane

Monday, October 13, 14

Page 83: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Monday, October 13, 14

Page 84: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Monday, October 13, 14

Page 85: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Series

Monday, October 13, 14

Page 86: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

Monday, October 13, 14

Page 87: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

Computations

Monday, October 13, 14

Page 88: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Monday, October 13, 14

Page 89: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”

Monday, October 13, 14

Page 90: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”x’ = f(x)

Monday, October 13, 14

Page 91: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”x’ = f(x)

Too complicated

Monday, October 13, 14

Page 92: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”x’ = f(x)

Too complicatedx’ = a x

Monday, October 13, 14

Page 93: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”x’ = f(x)

Too complicatedx’ = a x

Growth: financial, population, ecology, etc.

Monday, October 13, 14

Page 94: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”x’ = f(x)

Too complicatedx’ = a x

Growth: financial, population, ecology, etc.

Eigenvalues, eigenvectors

Monday, October 13, 14

Page 95: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”x’ = f(x)

Too complicatedx’ = a x

Growth: financial, population, ecology, etc.

Eigenvalues, eigenvectorsA v = L v

Monday, October 13, 14

Page 96: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”x’ = f(x)

Too complicatedx’ = a x

Growth: financial, population, ecology, etc.

Eigenvalues, eigenvectorsA v = L v

A is input-output

Monday, October 13, 14

Page 97: Mathematics for Social and Behavior Sciences

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Example:You have n commodities w= (w1, w2, …, wn) that

will be sold a price p = (p1, …, pn) to buy new bundle at these prices.What can be afforded?

Money available(p, w)

Bundle x that can be purchased(p, x)

Budget plane(p, x-w) = 0

Lagrange multiplier but what does Lambda mean?

Taylor Seriesf(x) = f(a) + f ’(a)(x-a) + ….

ComputationsBut, modeling

Why is base e “natural”x’ = f(x)

Too complicatedx’ = a x

Growth: financial, population, ecology, etc.

Eigenvalues, eigenvectorsA v = L v

A is input-outputv is natural direction

Monday, October 13, 14

Page 98: Mathematics for Social and Behavior Sciences

Other topics?

Monday, October 13, 14

Page 99: Mathematics for Social and Behavior Sciences

Other topics?Optimization

Monday, October 13, 14

Page 100: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Monday, October 13, 14

Page 101: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systems

Monday, October 13, 14

Page 102: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

Monday, October 13, 14

Page 103: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!

Monday, October 13, 14

Page 104: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do

Monday, October 13, 14

Page 105: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Monday, October 13, 14

Page 106: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0

Monday, October 13, 14

Page 107: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:

Monday, October 13, 14

Page 108: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

Monday, October 13, 14

Page 109: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciences

Monday, October 13, 14

Page 110: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Monday, October 13, 14

Page 111: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relations

Monday, October 13, 14

Page 112: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

Monday, October 13, 14

Page 113: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Monday, October 13, 14

Page 114: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:

Monday, October 13, 14

Page 115: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Monday, October 13, 14

Page 116: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporate

Monday, October 13, 14

Page 117: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Monday, October 13, 14

Page 118: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative info

Monday, October 13, 14

Page 119: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

Monday, October 13, 14

Page 120: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

New area:

Monday, October 13, 14

Page 121: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

New area:Ultimatum game

Monday, October 13, 14

Page 122: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

New area:Ultimatum game

Evolutionary game theory

Monday, October 13, 14

Page 123: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

New area:Ultimatum game

Evolutionary game theorywedding of dynamical systems and

game theory

Monday, October 13, 14

Page 124: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

New area:Ultimatum game

Evolutionary game theorywedding of dynamical systems and

game theorysocial norms:

Monday, October 13, 14

Page 125: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

New area:Ultimatum game

Evolutionary game theorywedding of dynamical systems and

game theorysocial norms:

philosophy of science (Stag hunt, etc.) ,

Monday, October 13, 14

Page 126: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

New area:Ultimatum game

Evolutionary game theorywedding of dynamical systems and

game theorysocial norms:

philosophy of science (Stag hunt, etc.) ,

anthropology, economics, political science, IIASA

Monday, October 13, 14

Page 127: Mathematics for Social and Behavior Sciences

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do Game theory is to living systems

what calculus is to physical systems

Nash and f ’=0Strategies, coalitions:Early days: discrete

All social, behavioral sciencesAuctions: Vickery

Military, international relationsCorporate

ALL math depts need a course!!

Social and behavioral sciences:Change

Still struggling how to incorporateUsually NOT x’ = f(x)

Qualitative infodynamical systems

New area:Ultimatum game

Evolutionary game theorywedding of dynamical systems and

game theorysocial norms:

philosophy of science (Stag hunt, etc.) ,

anthropology, economics, political science, IIASA

Agent based models: SFI

Monday, October 13, 14

Page 128: Mathematics for Social and Behavior Sciences

Seven handshakes

Monday, October 13, 14

Page 129: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Monday, October 13, 14

Page 130: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theory

Monday, October 13, 14

Page 131: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

Monday, October 13, 14

Page 132: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

Ebola

Monday, October 13, 14

Page 133: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

Monday, October 13, 14

Page 134: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crime

Monday, October 13, 14

Page 135: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in stores

Monday, October 13, 14

Page 136: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in storesNow being combined with game

theory, dynamics

Monday, October 13, 14

Page 137: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in storesNow being combined with game

theory, dynamicsALEKS

Monday, October 13, 14

Page 138: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in storesNow being combined with game

theory, dynamicsALEKS

Just an indication:

Monday, October 13, 14

Page 139: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in storesNow being combined with game

theory, dynamicsALEKS

Just an indication:Haven’t mentioned many others, such as allocation and apportionment methods,

Monday, October 13, 14

Page 140: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in storesNow being combined with game

theory, dynamicsALEKS

Just an indication:Haven’t mentioned many others, such as allocation and apportionment methods,

Opportunities to assume leadership

Monday, October 13, 14

Page 141: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in storesNow being combined with game

theory, dynamicsALEKS

Just an indication:Haven’t mentioned many others, such as allocation and apportionment methods,

Opportunities to assume leadershipTommy Ratliff and voting theory

Monday, October 13, 14

Page 142: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in storesNow being combined with game

theory, dynamicsALEKS

Just an indication:Haven’t mentioned many others, such as allocation and apportionment methods,

Opportunities to assume leadershipTommy Ratliff and voting theory

What is next??

Monday, October 13, 14

Page 143: Mathematics for Social and Behavior Sciences

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in storesNow being combined with game

theory, dynamicsALEKS

Just an indication:Haven’t mentioned many others, such as allocation and apportionment methods,

Opportunities to assume leadershipTommy Ratliff and voting theory

What is next??Your thoughts??

Monday, October 13, 14