DOCSLIB.ORG

The Unethics of Sharing: Wikiwashing

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
The Unethics of Sharing: Wikiwashing IRIE International Review of Information Ethics Vol. 15 (09/2011) Mayo Fuster Morell: The Unethics of Sharing: Wikiwashing Abstract: In order for online communities to assemble and grow, some basic infrastructure is necessary that makes possible the aggregation of the collective action. There is a very intimate and complex relationship between the technological infrastructure and the social character of the community which uses it. Today, most infra- structure is provided by corporations and the contrast between community and corporate dynamics is becom- ing increasingly pronounced. But rather than address the issues, the corporations are actively obfuscating it. Wikiwashing refers to a strategy of corporate infrastructure providers where practices associated to their role of profit seeking corporations (such as abusive terms of use, privacy violation, censorship, and use of volun- tary work for profit purposes, among others) that would be seen as unethical by the communities they enable are concealed by promoting a misleading image of themselves associated with the general values of wikis and Wikipedia (such as sharing and collaboration, openness and transparency). The empirical analysis is based on case studies (Facebook , Yahoo! and Google) and triangulation of several methods. Agenda: Wikinomics: The New economy of information access and sharing ............................................................. 10 Wikiwashing ........................................................................................................................................... 10 The “grey and dirty” side of Wikinomics ................................................................................................... 12 The ‘washing’ of unethical practices by media corporations promoting a “wiki” image ................................. 13 Conclusions ............................................................................................................................................ 15 Author: Dr. Mayo Fuster Morell: • Institute of Government and Public Policies - Autonomous University of Barcelona. Mòdul de Recerca A. Primera planta. Parc de la Recerca UAB 08193 Bellaterra, Barcelona, Spain +34 93 586 88 14 • + 34-648877748, [email protected], www.onlinecreation.info • Relevant publications: - Fuster Morell, M. (2011). The Wikimedia Foundation and the Governance of Wikipedia's Infrastructure: Historical Trajectories and its Hybrid Character. In Lovink, G., Tkacz, N. & Roberts, I. (eds). Critical Point of View Reader , Amsterdam: Institute of Network Cultures, 2011. (pp. 325-341). - Fuster Morell, M. (2010). La participazione nella comunità di creazione online. Participazione come eco-sistema. I casi di Openesf.net i Wikipedia. Politica dil dirito. Il Molino nº: 2, September 2010 (Italy). (pp. 515-544). © by IRIE – all rights reserved www.i-r-i-e.net 9 ISSN 1614-1687 IRIE International Review of Information Ethics Vol. 15 (09/2011) Wikinomics: The New economy nate their markets (Tapscot & Williams, 2007). Example of corporations are Facebook (providing of information access and social networking platform), Google (providing sharing search services and YouTube a video-archive), Skype (providing communication services), Twitter The new technologies of information (NTIs), togeth- (providing micro-blogging services), or Yahoo! er with other processes such as the increase in (providing, among other things, Flickr, an image education levels, have greatly extended the poten- repository). tial for access and sharing information, which is resulting in several forms of online collective action. This new economy results in a shift of the business Online creation communities (OCCs) refer to individ- model following the 2001 "dot-com" crisis of the uals that communicate, interact and collaborate, technological industry (O'Reilly, 2005). In the eco- aiming at knowledge-making and sharing. In order nomic model of Wikinomics, the relationship be- for OCCs to take place, it is necessary to have some tween media corporations and their "clients" pos- basic infrastructure that allows the aggregation of sesses certain peculiarities: Individuals become the collective action online. The infrastructure is "users" of the services provided by the media corpo- made up of a number of components: servers, rations, rather than the latter selling fixed products domain names, online platforms (with communica- to “consumers”. In this relationship, media corpora- tion and collaborative authoring tools), among tions depend on the content created by their users others. Infrastructure providers solve those aspects to increase the value of their services. However, for the communities. For example, the Wikimedia users contribute with content depending on their Foundation is the provider of the infrastructure own views and motivations, and the lack of control within which the community of participants who over these important factors (the availability of build up Wikipedia can interact. There are several volunteers to create content) indicates a weakness models of infrastructure provision, which offer in these types of business models. Additionally, it creators different conditions. When OCCs started to renders the reputation of the corporation somewhat emerge, infrastructure providers were closely linked vulnerable. If a community of users sharing content to the community of users and were mission based, becomes the product of the corporation, then the instead of profit based (Fuster Morell, 2010). The corporation is in many ways at the mercy of its entrepreneurial culture and business ideals of raising users. One consequence is that the community of money through innovation with NTI informational users sharing content is more empowered in the products also emerged. Over years, infrastructure face of the corporation. This creates a stimuli en- provision by corporations has increased, constituting couraging ethical practices by the corporations. the new economy of information access and sharing. Corporations therefore make extra effort to maintain their reputation and image and to “gain” the trust of The new economy of information access and shar- their communities of users and the general public. ing, also known as Web 2.0 or Wikinomics, is based However, as the actual practices of the ommercial on the commercialization of information flows and providers do not always conform to this, there is the services provided by media corporations (O'Reilly, incentive of creating “fake” images of the commer- 2005; Tapscott & Williams, 2007). 1 Some of the cial providers in order to gain a reputation, while at platforms provided by corporate hosts bring togeth- the same time developing unethical practices. This is er very large communities of participants and domi- where ‘wikiwashing’ comes into play. Wikiwashing 1 ICTs have gone through several technological generations. The latest ICT tendency is found in the concept of the Web Wikiwashing refers to a set of actions developed by 2.0. The Web 2.0 is generally used to refer to a second gen- eration of ICT-based services, such as social networking sites, corporations that first and foremost offer services wikis, and communication tools that emphasize online collab- for information sharing and collaboration online in oration and sharing amongst “users” to build up the site con- order to build, promote or direct attention towards tent. It also differs from early web development (retrospec- an image of themselves connoted with the positive tively labelled Web 1.0) in that it moves away from static websites, the use of search engines, and surfing from one values associated with sharing and collaboration website to the next, and towards a more dynamic and inter- among peers (their users) or to associate its image active World Wide Web. However, the term Web 2.0 was orig- with that of non-corporate entities such as Wikipedia inally used to represent a shift in the business model, “a new or wiki technology in general; secondly, it refers to way of doing business”, after the dot-com crisis (O'Reilly 2005). concealing or limiting access to its role as a com- Mayo Fuster Morell: The Unethics of Sharing: Wikiwashing 10 IRIE International Review of Information Ethics Vol. 15 (09/2011) mercial service and infrastructure provider—such as Wikiwashing does not specifically rely on the use of conditions of use, sharing data with governments, wiki or a particular type of technology, but on the profit-making—in order to perform unethical and assertion in their public relations and branding abusive practices in these areas. strategy of possessing values associated with wikis (such as sharing and collaboration, openness and The term ‘wikiwashing’ is proposed for several transparency), whilst simultaneously concealing 2 reasons in order to frame this set of activities. unethical practices and practices not in line with Firstly it includes a reference to wiki. On many those values. occasions, Wikipedia or wiki technologies in general, and the positive values associated with them, have Infrastructure providers, regardless of whether they explicitly been used by corporations to "wash" (i.e. are for profit or not-for profit, always have some clean up), and thus make attractive, their image. form of public relations and a branding strategy. Secondly, the term wiki equates with speed. The Wikiwashing does not refer to public relations as reactions of corporations to "wash" their image tend such. Furthermore, wikiwashing should not be to be very fast
Load more

Recommended publications
  • How the Social Data Revolution Changes (Almost) Everything Speech Given at the World Innovation Forum in New York on June 8, 2010
    Andreas Weigend: How the Social Data Revolution Changes (Almost) Everything Speech given at the World Innovation Forum in New York on June 8, 2010. How the Social Data Revolution Changes (Almost) Everything June 8, 2010 Andreas S. Weigend, Ph.D. info: weigend.com twitter: @aweigend email: [email protected] Audio of the talk, slides and transcript are at weigend.com/blog/archives/210 Alright we have a lot to cover and I want to start with who of you has checked in here with Foursquare, Godwalla, etc.? So in the next 15 minutes I will change the way you think about data. I will think about data; how they're created, and think about how data is the digital air we breathe. How will this data which we create be shared? Everybody is a publisher. Every company is a publisher, and it's about building an ecosystem and participating, for all of you as individuals, and as companies in these ecosystems. Lastly, what is the intended use, and maybe what is the unintended use of those data? The first part of my talk, I want to talk to you about language change, behavior change, and the language – how we move from collecting, soliciting, mining, and segmenting data and people; from sniffing the digital exhaust if you will, to sharing, to distributing, to interpreting data, and by doing so, to actually empowering employees as well as outside people, helping our customers to help us. Let's take a step back in history. Think about some of the technologies that enabled innovation.
    [Show full text]
  • View Ourselves, Interact with Each Other, and Make Decisions
    ANDREAS WEIGEND Chief Scientist at Amazon (2002 - 2004) Andreas Weigend is a leading behavioral marketing expert. His career as a scientist, data strategist and quantitative methods innovator has enabled him to bridge the gap between industry and academia. As the Chief Scientist of Amazon.com, he developed data mining techniques including session-based marketing, and designed applications ranging from heuristic cross-selling to customer network and lifecycle analysis. Weigend currently teaches the graduate course Data Mining and Electronic Commerce at Stanford University. "My expertise is in social and mobile technologies and in consumer behavior: I study people and the data they create. In today's increasingly digitized world, consumers are sharing data in unprecedented ways. This Social Data Revolution represents a deep shift in how people make purchasing decisions." "I advise companies that want to embrace this new reality of social data. Together, we design interactive platforms and real-time systems, empowering them and their customers to make better choices. Previously, as the Chief Scientist of Amazon.com, I helped to build the customer-centric, measurement-focused culture that has become central to Amazon's success." "I lecture at Stanford University on social data and e-commerce, and direct the Social Data Lab. I also share my insights on the untapped power of data at company events and top conferences around the globe. I received my Ph.D in Physics from Stanford University." "My goal is to guide my clients through the evolving landscape of consumer behavior and data to identify new business opportunities. The results of my work changes the way business leaders perceive the value of data and the future of relationships." "Through workshops and corporate seminars I help my clients define user-centric metrics of engagement, and invent incentives that inspire users to create and share.
    [Show full text]
  • Time-Varying Networks Approach to Social Dynamics: from Individual to Collective Behavior
    UNIVERSITAT POLITÈCNICA DE CATALUNYA PHDTHESIS Time-varying networks approach to social dynamics: From individual to collective behavior Candidate Supervisor Michele Starnini Prof. Romualdo Pastor-Satorras October 2014 Abstract In this thesis we contribute to the understanding of the pivotal role of the temporal dimension in networked social systems, previously neglected and now uncovered by the data revolution recently blossomed in this field. To this aim, we first introduce the time-varying networks formalism and an- alyze some empirical data of social dynamics, extensively used in the rest of the thesis. We discuss the structural and temporal properties of the human contact networks, such as heterogeneity and burstiness of social interactions, and we present a simple model, rooted on social attractiveness, able to reproduce them. We then explore the behavior of dynamical processes running on top of temporal networks, constituted by empirical face-to-face interactions, address- ing in detail the fundamental cases of random walks and epidemic spreading. We also develop an analytic approach able to compute the structural and percolation properties of activity driven model, aimed to describe a wide class of so- cial interactions, driven by the activity of the individuals in- volved. Our contribution in the rapidly evolving framework of social time-varying networks opens interesting perspec- tives for future work, such as the study of the impact of the temporal dimension on multi-layered systems. iv Contents Invitation 1 1 From empirical data to time-varying networks 3 1.1 Time-varying networks formalism ............... 6 1.1.1 Basics on temporal networks .............. 8 1.1.2 Time-respecting paths .................
    [Show full text]
  • Predicting Political Orientation of News Articles Based on User Behavior Analysis in Social Network
    IEICE TRANS. INF. & SYST., VOL.E97–D, NO.4 APRIL 2014 685 PAPER Special Section on Data Engineering and Information Management Predicting Political Orientation of News Articles Based on User Behavior Analysis in Social Network Jun-Gil KIM†, Nonmember and Kyung-Soon LEE†a), Member SUMMARY News articles usually represent a biased viewpoint on con- ion can be seen as sympathy for the opinion of the orig- tentious issues, potentially causing social problems. To mitigate this media inal tweet. bias, we propose a novel framework for predicting orientation of a news • Highly active users have rich relationships to other article by analyzing social user behaviors in Twitter. Highly active users tend to have consistent behavior patterns in social network by retweeting users by retweeting behavior to express their sympa- behavior among users with the same viewpoints for contentious issues. The thy. bias ratio of highly active users is measured to predict orientation of users. • Users’ sentiments in tweets depends on their political Then political orientation of a news article is predicted based on the bias orientation and the viewpoint of the news article ratio of users, mutual retweeting and opinion analysis of tweet documents. The analysis of user behavior shows that users with the value of 1 in bias Based on the observation, our assumptions are as fol- ratio are 88.82%. It indicates that most of users have distinctive orientation. Our prediction method based on orientation of users achieved 88.6% per- lows: (1) Highly active users may have consistent behavior formance in accuracy. Experimental results show significant improvements patterns in social network.
    [Show full text]
  • Network Science Pdf Free Download
    NETWORK SCIENCE PDF, EPUB, EBOOK Albert-Laszlo Barabasi,Márton Pósfai | 474 pages | 19 Dec 2016 | CAMBRIDGE UNIVERSITY PRESS | 9781107076266 | English | Cambridge, United Kingdom Network Science PDF Book His finding? Understanding the structure and behavior of these networks will help us do some amazing things, from designing the optimal organization of a firm to stopping a disease outbreak before it spreads catastrophically. The committee addressed this situation by conducting two inquiries. The components of modern communication and information networks are the result of technologies based on fundamental knowledge emanating from physics, chemistry, and materials science. Typically, engineered networks designed with one set of social behaviors in mind are, over time, exploited by disruptive elements e. Networks are classified in four different categories:. Working to discover and inspire fundamentally new ways to measure, model, predict and visualize meaningful interactions and interconnectivity of social, physical and technological systems. A revolutionary new theory showing how we can predict human behavior. Collective intelligence Collective action Self-organized criticality Herd mentality Phase transition Agent-based modelling Synchronization Ant colony optimization Particle swarm optimization Swarm behaviour. The lede currently tells us that network science is the study of networks, but it doesn't say what a network is. Squartini, D. Evolution and adaptation. The SIR model is currently the Kermack McKendrick model, which basically
    [Show full text]
  • Eficácia Dos Programas De Integridade E Anticorrupção Por Intermédio Do Método 70.20.10 Nas Organizações
    UNIVERSIDADE FUMEC FACULDADE DE CIÊNCIAS HUMANAS, SOCIAIS E DA SAÚDE Programa de Mestrado (Stricto Sensu) em Direito JULIANA DE PAULA TOCAFUNDO PRADO EFICÁCIA DOS PROGRAMAS DE INTEGRIDADE E ANTICORRUPÇÃO POR INTERMÉDIO DO MÉTODO 70.20.10 NAS ORGANIZAÇÕES BELO HORIZONTE 2018 JULIANA DE PAULA TOCAFUNDO PRADO EFICÁCIA DOS PROGRAMAS DE INTEGRIDADE E ANTICORRUPÇÃO POR INTERMÉDIO DO MÉTODO 70.20.10 NAS ORGANIZAÇÕES Dissertação apresentada ao Programa de Mestrado (Stricto Sensu) em Direito, da Faculdade de Ciências Humanas, Sociais e da Saúde, da Universidade FUMEC, como requisito parcial para obtenção do título de Mestre em Direito. Área de Concentração: Instituições sociais, direito e democracia. Linha de Pesquisa: Regulação, autonomia privada e estratégia Orientador: Prof. Dr. Frederico de Andrade Gabrich BELO HORIZONTE 2018 Dados Internacionais de Catalogação na Publicação (CIP) P896e Prado, Juliana de Paula Tocafundo, 1979- Eficácia dos programas de integridade e anticorrupção por intermédio do método 70.20.10 nas organizações / Juliana de Paula Tocafundo Prado – Belo Horizonte, 2018. 138 f. ; 29,7 cm Orientador: Frederico de Andrade Gabrich Dissertação (Mestrado em Direito), Universidade FUMEC, Faculdade de Ciências Humanas, Sociais e da Saúde, Belo Horizonte, 2018. 1. Corrupção - Legislação - Brasil. 2. Programas de compliance - Brasil. 3. Direito empresarial - Brasil. I. Título. II. Gabrich, Frederico de Andrade. III. Universidade FUMEC, Faculdade de Ciências Humanas, Sociais e da Saúde. CDU: 347.7 Ficha catalográfica elaborada pela Biblioteca Universitária-FUMEC Dedico a: Fábio, Henrique, Pedro, Márcia e Rogério. Agradecimentos: Ao Fábio, pelo apoio incessante, impulso, retidão, por compartilhar e possibilitar a concretização desse sonho. Ao Henrique e Pedro, meus amores, por existirem. À minha mãe e ao meu pai, pelo amor, apoio incondicional e presenças constantes.
    [Show full text]
  • Introduction. the Social Data Revolution
    Andreas Weigend | Social Data Revolution | Fall 2015 School of Information | University of California at Berkeley | INFO 290A-03 CHAPTER 0 – PLEASE DO NOT DISTRIBUTE THIS DRAFT Introduction. The Social Data Revolution # “The only way of discovering the limits of the possible is to venture a little way past them into the impossible.”1 Arthur C. Clarke # At 6:45 AM, the alarm on my mobile phone wakes me up. Before I even get out of bed, I scan through the email, text messages, and Facebook notifications that arrived overnight. I’m eager to get a jumpstart on the day, so I carry my phone into the bathroom. Those handful of steps are registered by my mobile phone’s GPS, which logs the shift a few meters east in my phone’s longitude and latitude. As I pour myself a cup of coffee and take it out to my deck, the phone’s accelerometer tracks how quickly I pace around my apartment and its barometer registers when I’m going up or down the stairs. Because I have Google apps installed on my phone, Google has a record of all these movements. After breakfast, it’s time for me to make my way to Stanford. The electricity company has installed a “smart” meter, which registers the decrease in my electricity consumption as I turn off the lights before heading out for the day. When I go down to the garage and open the door, the meter detects the usage signature specific to the door. Thus, as I pull my car out onto the street, my electricity provider has enough data to know I’m no longer at home.
    [Show full text]
  • Big Data: Strumenti E Opportunità Per Affrontare La Crisi
    CONGRESSO NAZIONALE AICA 2013 Big Data: strumenti e opportunità per affrontare la crisi «Big Data: limitazioni e opportunità geopolitiche e geoeconomiche» Carlo Muzzì UNIVERSITÀ DEGLI STUDI DI SALERNO [email protected] CAMPUS DI FISCIANO 20 settembre 2013 http://www.aica2013.it 2 Abstract 3 «Big Data»: alcuni concetti significativi • Il termine Big Data [Manyika et al, 2011] è utilizzato per riferirsi a quegli insieme di dati dal volume talmente grande da non poter più essere catturati, conservati, gestiti e analizzati con gli strumenti tipici dei database tradizionali • È una definizione soggettiva poiché, non utilizzando metriche precise per specificare quanti dati sono necessari per poterli definire “grandi”, preserva dal rischio di stabilire soglie che verrebbero certamente rese obsolete dal costante incremento delle informazioni digitali • I Big Data sono già tra noi: nella capacità della rete Internet di aggregare e rendere fruibili documenti, testi, indici di ricerca, immagini, filmati, … nell’accumulazione senza precedenti di dati personali derivanti dalla social data revolution [Weigend, 2009] innescatasi dalla diffusione dei social networks dal continuo incremento delle informazioni digitalizzate su prodotti, merci, servizi, … indotta dalla crescita del mercato dell’e-commerce dalle raccolte di grandi masse di dati compiute da diverse discipline scientifiche (astronomia, chimica, biologia, meteorologia, genomica, …) dai nuovi dati creati dalla sempre più pervasiva diffusione delle reti di sensori (RFID, Internet of Things) 4
    [Show full text]
  • Social Media Geographic Information: Why Social Is Special When It Goes
    CHAPTER 4 Social Media Geographic Information: Why social is special when it goes spatial? Michele Campagna Università di Cagliari, DICAAR, Via Marengo 2, Cagliari 09123, Italy, [email protected] Abstract This contribution introduces the concept of Social Media Geographic Informa- tion (SMGI) as a specific type of Volunteered Geographic Information (VGI). Unlike other kind of VGI, which may originate from geographic measurements crowdsourcing, SMGI brings in addition a special potential for it may express community perceptions, interests, needs, and behaviors. Hence, SMGI may represent an unprecedented resource for expressing pluralism in such domains as spatial planning, where it may convey the community collective preferences contributing to enrich knowledge able to inform design and decision making. In the light of these assumptions, the main issues relevant for SMGI collec- tion and analytics are presented from the perspective of the spatial planning and governance domain, and a framework for the SMGI analytics in planning, design, and decision making is proposed. Keywords Social Media Geographic Information (SMGI), Spatial Data Infrastructure (SDI), Spatial Planning and Governance, Geodesign, Planning Intelligence. How to cite this book chapter: Campagna, M. 2016. Social Media Geographic Information: Why social is special when it goes spatial?. In: Capineri, C, Haklay, M, Huang, H, Antoniou, V, Kettunen, J, Ostermann, F and Purves, R. (eds.) European Handbook of Crowdsourced Geographic Information, Pp. 45–54. London: Ubiquity Press. DOI: http://dx.doi. org/10.5334/bax.d. License: CC-BY 4.0. 46 European Handbook of Crowdsourced Geographic Information Introduction It is often assumed, as a proxy benchmark for the growing amount of informa- tion being produced, that in 2009 more data were generated by individuals than in the entire history of mankind through to 2008.
    [Show full text]
  • |||GET||| Network Analysis with Applications 4Th Edition
    NETWORK ANALYSIS WITH APPLICATIONS 4TH EDITION DOWNLOAD FREE William D Stanley | 9780130602466 | | | | | Primary Menu Fourth International Conference of the Learning Sciences. Structural holes: The absence of ties Network Analysis with Applications 4th edition two parts of a network. Stanley by on-line could be also done conveniently every where you are. Some authors also suggest that SNA provides a method of easily analyzing changes in participatory patterns of members over time. It will not make you really feel bored. Analyzing Social Networks. Social Networks. Frequency Response Analysis and Bode Plots. Science of Computer Programming. This particular method allows the study of interaction patterns within a networked learning community and can help illustrate the extent of the participants' interactions with the other members of the group. Help Learn to edit Community portal Network Analysis with Applications 4th edition changes Upload file. This group is very likely to morph into a balanced cycle, such as one where B only has a good relationship with A, and both A and B have a negative relationship with C. Vancouver: Empirical Press. Assortative mixing Interpersonal bridge Organizational network analysis Small-world experiment Social aspects of television Social capital Social data revolution Social exchange theory Social identity theory Social network analysis Social web Structural endogamy. Open your kitchen appliance or computer and also be on-line. Day 2: Understanding Network Structures. Day 4: Testing Network Hypotheses. We finish with a discussion on diversity of operationalisations and interpretations, using examples from your own work. Knoke, David. Similarity can be defined by gender, race, Network Analysis with Applications 4th edition, occupation, educational achievement, status, values or any other salient characteristic.
    [Show full text]
  • Digital Footprint: a Two-Sided Digital Business Model Where Your Privacy Is Someone Else's Business! by Tony Fish
    My Digital Footprint: a two-sided digital business model where your privacy is someone else's business! By Tony Fish September 13 th 2009 - FINAL 1 Issue date September 2009 Copyright and Trademarks MY DIGITAL FOOTPRINT by Tony Fish is licensed under a Creative Commons Attribution-No Derivative Works 2.0 UK: England & Wales License . To view a copy of this licence, visit http://creativecommons.org/licenses/by-nd/2.0/uk/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California 94105, USA. © Copyright 2009 AMF Ventures Limited. All rights reserved. No part of this publication may be reproduced, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the correct attribution according to the Creative Commons License above. The license means you are free to copy, distribute, display, and perform the work as long as you give the correct attribution to MY DIGITAL FOOTPRINT and Tony Fish. You may not alter, transform, or build upon this work. Permissions beyond the scope of this license are available at www.mydigitalfootprint.com Published by: Futuretext, 36 St George Street. Mayfair, London, W1S 2FW. http://www.futuretext.com/ Although great care has been taken to ensure the accuracy and completeness of the information contained in this book, neither Futuretext Limited nor its author, contributors, employees or advisors are able to accept any legal liability for any consequential loss or damage, however caused, arising as a result of any actions taken on the basis of the information contained in this book. Certain statements in this book are forward-looking.
    [Show full text]
  • Stanford University
    the program are trained as engineers and future leaders in technol- ogy, policy, and industry. Research and teaching activities are complemented by an outreach program that encourages the transfer of ideas to the environment of Silicon Valley and beyond. Management Science and Engineering (MS&E) provides pro- grams of education and research by integrating three basic strengths: (1) depth in conceptual and analytical foundations; (2) comprehensive coverage of functional areas of application; and (3) interaction with other Stanford departments, Silicon Valley indus- try, and organizations throughout the world. The analytical and conceptual foundations include decision and risk analysis, dynamic systems, economics, optimization, organizational science, and stochastic systems. The functional areas of application include entrepreneurship, finance, information, marketing, organizational Emeriti: (Professors) James L. Adams, Kenneth J. Arrow, Richard behavior, policy, production, and strategy. Close associations with W. Cottle, Donald A. Dunn, B. Curtis Eaves, Frederick S. Hil- other engineering departments and with industry enrich the pro- lier, Donald L. Iglehart, James V. Jucker, Michael M. May, grams by providing opportunities to apply MS&E methods to im- Henry E. Riggs, David A. Thompson, Arthur F. Veinott, Jr. portant problems and by motivating new theoretical developments Chair: M. Elisabeth Paté-Cornell from practical experience. MS&E‟s programs also provide a basis Professors: Nicholas Bambos, Stephen R. Barley, Margaret L. for contributing to other areas such as biotechnology, defense poli- Brandeau, Robert C. Carlson, Kathleen M. Eisenhardt, Peter W. cy, environmental policy, information systems, and telecommuni- Glynn, Warren H. Hausman, Ronald A. Howard, David G. Lu- cations. enberger, M. Elisabeth Paté-Cornell, William J.
    [Show full text]