mathematics for social and behavior sciences

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Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

Monday, October 13, 14

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

Interactive:

Monday, October 13, 14

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

Interactive: WGAD

Monday, October 13, 14

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

Interactive: WGAD

Math of physical sciences:

Monday, October 13, 14

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

Interactive: WGAD

Math of physical sciences:Historical source of power

Monday, October 13, 14

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

Interactive: WGAD

Math of physical sciences:Historical source of power

Change of interest? Students:

Monday, October 13, 14

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Mathematics forSocial and Behavior Sciences

Don SaariMath and

Institute for Math Behavioral Scienceswww.imbs.uci.edu

University of California, Irvine 92697-5100dsaari@uci.edu

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

Party time! (Example of problems in social sciences)

Monday, October 13, 14

Party time! (Example of problems in social sciences)

6

5

4

Monday, October 13, 14

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Monday, October 13, 14

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Monday, October 13, 14

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

Monday, October 13, 14

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

Monday, October 13, 14

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

Monday, October 13, 14

Party time! (Example of problems in social sciences)

6

5

4

Milk,Wine,Beer

Beer, Wine, Milk

Wine, Beer, Milk

Monday, October 13, 14

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Differences in classes that make a difference

Monday, October 13, 14

Differences in classes that make a difference

Dot products:

Monday, October 13, 14

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Monday, October 13, 14

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

Monday, October 13, 14

Differences in classes that make a difference

Dot products:Dimensions n=2, 3

Economics, Operations Research, Management, etc.

all dimensions

Monday, October 13, 14

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Other topics?

Monday, October 13, 14

Other topics?Optimization

Monday, October 13, 14

Other topics?OptimizationCalculus

Monday, October 13, 14

Other topics?OptimizationCalculus

Almost all systems

Monday, October 13, 14

Other topics?OptimizationCalculus

Almost all systemsGame theory:

Monday, October 13, 14

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!

Monday, October 13, 14

Other topics?OptimizationCalculus

Almost all systemsGame theory:

All living systems!What is optimized is based on

what others do

Monday, October 13, 14

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Seven handshakes

Monday, October 13, 14

Seven handshakesNetwork theory

Monday, October 13, 14

Seven handshakesNetwork theory

Ideas from graph theory

Monday, October 13, 14

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

Monday, October 13, 14

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

Ebola

Monday, October 13, 14

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

Monday, October 13, 14

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crime

Monday, October 13, 14

Seven handshakesNetwork theory

Ideas from graph theorySociology: early 1940s

EbolaIssues of centrality, etc.

crimeeconomics; customers in stores

Monday, October 13, 14

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

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

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

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

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

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

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

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

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