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Enregistrement W2021826536 · doi:10.1061/(asce)is.1943-555x.0000165

Civil Infrastructure Decision Making as a Chaotic Sociotechnical System: Role of Information Systems in Engaging Stakeholders and Democratizing Innovation

2013· article· en· W2021826536 sur OpenAlexaffabout
Tamer E. El-Diraby

Notice bibliographique

RevueJournal of Infrastructure Systems · 2013
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueComplex Systems and Decision Making
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésSociotechnical systemCollective intelligenceKnowledge managementWeb 2.0CrowdsourcingSocial mediaKnowledge sharingInformation infrastructureWorld Wide WebPublic relationsSociologyComputer scienceThe InternetEngineeringPolitical scienceInformation system

Résumé

récupéré en direct d'OpenAlex

The web is no longer simply a medium for people to exchange text. Thanks to social media (Web 2.0), it is morphing into a new socioeconomic space where e-citizen, e-democracy and crowdsourcing are becoming not only cultural paradigms, but also business drivers. Web 3.0 (the semantic web) is promising to integrate meaning, text mining, and lexical analysis into web transactions. Beyond commenting and sharing media, the upcoming Web 4.0 (some call it the intelligent web) aims to foster the realization of the knowledge society, where people harness collective intelligence to achieve not only social goals, but more importantly, codevelop knowledge products (apps or analysis tools) that can be sold in the global marketplace (Hendler and Berners-Lee 2010). In such a connected, knowledge-savvy society, a future where communities really lead decision making in urban infrastructure is not far-fetched. Empowered by apps and interactive authoring tools, communities will be able to develop project ideas (technical and nontechnical). They will also be able to analyze ideas by others and collaborate to bridge gaps and collate ideas. In such a situation, the roles (and value-added) of public officials and engineers shift from developing/presenting project ideas to communities into a realm where they work and develop tools for enabling and facilitating the self-organization of citizens’ own ideas. This paper presents a vision for the future of infrastructure development and decisionmaking in light of emerging socioeconomic and technical forces that are shaping our society—mainly the increasing desire for sustainability, globalization, e-society, and the knowledge economy. The objective of this rather hypothetical (and certainly fallible) scenario is not to predict the future. Rather, the aim is to stimulate a discussion about such a future, with specific emphasis on the role of engineers in the evolving knowledge economy. Metaphorically, in the typical mode of operation of infrastructure, the customer (the general public) delegates decision powers to public officials. Public officials retain engineers to provide professional technical services. The introduction of environmental review and community engagement (CE) legislation in the 1970s was supposed to bring some bottom-up input (views from the community) to the planning and decision-making processes. However, CE processes typically exemplified a “decide, announce, defend” mentality (Beierle 1999). Lately, the lack of suitable understanding of the needs of the web-native stakeholders contrasts with social trends and the very essence of sustainable development (where social needs are at the center). Consequently, increasing community opposition to projects have been documented in many cases with impacts on total project costs and duration. One way that cities are trying to catch up is through the use of social media tools for CE, such as crowdsourcing. For example, SeeClickFix (a Facebook-like site) is a new application that enables users in many cities to report issues with infrastructure (Nash 2009). The Canadian Broadcasting Corporation (CBC) used a virtual game along with an online news story to let readers generate and study funding options for the mushrooming infrastructure deficit (CBC 2011). As interesting as these reactive applications may be, knowledgeempowered communities are starting to develop more proactive applications. It is hypothesized that, like other issues of life, the public will want to be the direct source of all ideas—technical and nontechnical. They will want public officials and engineers to use their professional knowledge in technology and business to help them analyze and collate their own ideas, resolve conflicts, and professionally produce their ideas into a viable project. As a case in point, in 2004, the Mayor of Paris announced renovation plans for the Les Halles Garden. A local residents’ association objected due to the inadequate level of residents’ involvement. As a countereffort, they bid the design job to users of Second Life—a virtual reality/parallel world web site, where people create avatars (virtualdoubles) of themselves. As an incentive, the winning project was to receive 275,000 lindens (the e-currency of Second Life). Virtual teams from across the world worked together to develop a new design for the facility. The winning design was developed by a French group with global virtual help from Canada, China, and Germany (L’association ACCOMPLIR 2010).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,015
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,993
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,015
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,003
Études des sciences et des technologies0,0070,045
Communication savante0,0280,024
Science ouverte0,0020,012
Intégrité de la recherche0,0070,005
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,314
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2013
Routes d'admission2
Résumé présentoui

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