|When:||Wednesday, Jan. 19, 2011, Noon - 2 PM|
|Place:||The Penn Club, 30 West 44th Street, New York, NY|
|Reservations:||Call Sam Koslowsky at (212) 520-3259 or email him.|
|Cost:|| $50 for non-members, $40 for
$5 surcharge for walk-in without reservation.
|Topic:||Sociosystemics and Statistics|
|Presentation Slides (11 MB)
|Abstract:||The current structure of knowledge about the social world, as reflected in political sciences, economics, sociology, psychology and their many derivative and interdisciplinary branches is in deep disarray. This disarray could be observed both from the internal problems and inconsistencies within the respective fields of science and the poor results of the implementation of different policies, supposedly based on scientific findings.
The exponentially growing volume of information in these areas is supplemented with less than linear growth of real knowledge. Further scientific specialization and ideological and political boundaries seem just to widen this gap. Specialists in economics, for instance, very rarely read psychological or political texts and when they do, they extract the meaning that is quite different from the intended one. It creates an impression that all these aspects of social life are isolated and need to be treated separately, while in fact social life is a phenomena of extremely high integrity, the existing scientific branches are just artificial separation lines drawn by someone because of their temporary convenience or historical (often random) circumstances.
A need in some unifying principles becomes more and more clear. The grand concepts such as general systems theory, cybernetics, statistics, operational research, management theory, yielding many brilliant results for the last six to seven decades, haven't proven to be the unifying frame in many aspects. One of the reasons for that was their respective concepts orientation to specific types of models, which, applied to social reality, do not work in an expected and desirable way.
In this presentation I will try to introduce some principles of a new science, sociosystemics, which hopefully would help to transform the enormous volume of information in this area into meaningful knowledge that can be used for prediction and decision making. This is based on the reassessment of the relative roles of goals oriented behavior, sociological methodology, linguistics, statistics and agent based modeling.
Statistics' role in creation of such a science is twofold: 1) it creates the basic grounds for measurements procedures and practices, without which anything else is impossible, and 2) provides methods and models of data treatment, which are predominant in current social sciences. Each aspect has its problems and drawbacks, yet both represent a crucial part of sociosystemics, which will be discussed in some details.
Vice President, Director of Econometrics and Statistics, at Telmar Inc., a world leader in media planning software, based in New York.
Dr. Mandel is responsible for the creation of a nationwide demographic database that is in relation with different marketing purposes.
Igor Mandel is a leading statistician, having worked at many organizations in an analytical capacity by developing marketing mix and direct marketing models for corporations such as Fidelity Investment, Home Depot, Procter and Gamble, Audi, Outback Steakhouse and others.
He had been CEO of two manufacturing plants owned by American investors in Central Asia, an economics consultant in investment funds and a university professor.
Igor Mandel actively publishes in areas of statistics and marketing with approximately a hundred published articles and several books. He is a reviewer in several statistical journals and a member of editorial board of Model Assisted Statistics and Applications (MASA); he has a doctorate in statistics from The Moscow Institute of Statistical Research.