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'''Welcome to the Prediction Markets wiki of the Graduate School of Management, University of Haifa'''
'''Welcome to the Prediction Markets wiki of the Graduate School of Management, University of Haifa'''
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This wiki serves as a collaborative structured resource for the research and design of prediction markets. The mapping of the domain vocabulary to market implementations provides a repository of examples that can be used for a better understanding of the operations and performance of prediction markets in a variety of settings and configurations.
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This wiki grows out of ongoing research work in the field of Prediction Markets and Collective Intelligence which is performed at the [http://mba2.haifa.ac.il/index.php/english- Graduate School of Management] of the [http://www.haifa.ac.il/index_eng.html University of Haifa], under the supervision of Prof. [http://rafaeli.net/ Sheizaf Rafaeli] and [http://gsb.haifa.ac.il/~draban/home/ Dr. Daphne Raban]. At its core lies a mapping of domain vocabulary to market implementations which is presented in a paper ''"P-MART: Towards a Classification of Online Prediction Markets"'', currently under review.
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True to our belief in the value of collaboration we encourage you to contribute to this wiki. It is expected that through on-going contribution the domain vocabulary will be fine-tuned as the domain knowledge expands, and the implementation repository will grow as new examples emerge. Contributors, in order to maintain the structure of this wiki please follow [[Editing guidelines|editing guidelines]].
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The wiki is structured as a cross reference of '''[[:Category:Markets|Prediction Market implementations]]''' and '''[[:Category:Market properties|market attributes]]'''. The description of each market is contained in a separate wiki article and tagged with its attributes (in the form of wiki categories). In this way it is possible to view the property of each market, and access any market from any of its market property. It is also possible to access all markets and market properties from the sidebar. In the main page you will find an overview of the Prediction Markets classification, where each of the market attribute is listed in '''bold''' and links to its category page.
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Consult the [http://meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software.
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The objective of this wiki is to act as a knowledge repository for researchers and practitioners in the field of Prediction Markets. True to our belief in the value of collaboration we encourage you to contribute to this wiki. It is expected that through on-going contribution the domain vocabulary will be fine-tuned as the domain knowledge expands, and the implementation repository will grow as new examples emerge. Contributors need to register first. In order to maintain the structure of this wiki please follow [[Editing guidelines|editing guidelines]].
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For more details contact [[User:Dorit.Geifman|Dorit Geifman]]
== Introduction ==
== Introduction ==
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== Resources ==
== Resources ==
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=== Academic Papers ===
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=== References & Bookmarks ===
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* [http://siepr.stanford.edu/papers/pdf/03-25.pdf Wolfers,J. and E. Zitzewitz (2004). "Prediction Markets." SIEPR Discussion Paper No. 03-25] is a comprehensive paper on Prediction Markets that addresses various perspectives of the topic
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* [http://del.icio.us/doritgsb/predictionmarkets del.icio.us Prediction Markets tag] - various bookmarks on the topic.
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* [http://www.midasoracle.org/predictions/exchanges/ Prediction Exchanges] - a list from Midas Oracle .Org
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* [http://www.forecastingprinciples.com/PM/ Special Interest Group on Prediction Markets] - International Institute of Forecasters, IIF
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* [http://www.crowdworx.de/de/news/crowdworx-library CrowdWorkx]
=== Books ===
=== Books ===
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* '''Surowiecki, J.''' (2004). ''The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations.'' Doubleday.
* '''Surowiecki, J.''' (2004). ''The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations.'' Doubleday.
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=== Wiki, Blogs & Bookmarks ===
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=== Wikis & Blogs ===
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* [http://del.icio.us/doritgsb/prediction-markets Dorit's del.icio.us Prediction Markets bookmarks] - maintains a list of related bookmarks, tagged with sub-categories.
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* [http://en.wikipedia.org/wiki/Prediction_market Wikipedia on Prediction Markets] - has good articles and references. It is being updated on a frequent basis.
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* [http://www.midasoracle.org/ Midas Oracle] - the most extensive information source on Prediction Markets.
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* [http://www.forecastingprinciples.com/PM/ Special Interest Group on Prediction Markets] - a good source for various types of resources in this domain.
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=== Prediction Markets in the media ===
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* [http://en.wikipedia.org/wiki/Prediction_market Wikipedia on Prediction Markets]
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* [http://www.time.com/time/magazine/article/0,9171,660965,00.html Time Magazine – The end of Management?] - dated mid 2004, it is one of the first articles that brings the concept of Corporate Prediction Markets to the public awareness and lists some of the pioneers in the area.
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* [http://crowdcast.com/wordpress/ Crowdcast Corporate blog]
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* [http://blog.mercury-rac.com/ Mercury's Blog] - Jed Christiansen's blog
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* [http://blog.inklingmarkets.com/ Inkling Corporate blog]
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* [http://www.midasoracle.org/ Midas Oracle] - Chris F. Masse's blog
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* [http://blog.oddhead.com/ Oddhead Blog] David Pennock's blog]
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* [http://www.overcomingbias.com/ overcomingbias] - Robin Hanson's blog
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* [http://torontopm.wordpress.com/ Toronto Prediction Market Blog] - Paul Hewitt's blog
=== Research Data ===
=== Research Data ===
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Some public exchanges open their data for academic exchange
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Public exchanges that open their data for academic research
* In [http://www.biz.uiowa.edu/iem/archive/index.html Iowa Electronic Markets (IEM)] you can find historical data and research papers.
* In [http://www.biz.uiowa.edu/iem/archive/index.html Iowa Electronic Markets (IEM)] you can find historical data and research papers.
* In [http://www.tradesports.com/data/ TradeSports] you can gain access to historical data (2004-2006), mostly sports, some political and entertainment.
* In [http://www.tradesports.com/data/ TradeSports] you can gain access to historical data (2004-2006), mostly sports, some political and entertainment.

Current revision as of 20:11, 30 December 2011

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