The Next Step: Acquisitions and Open Collaboration Platforms [Connected Vehicles]

2018 ◽  
Vol 13 (2) ◽  
pp. 14-16
Author(s):  
Elisabeth Uhlemann
Keyword(s):  
Connected Vehicles ◽  
Open Collaboration ◽  
Collaboration Platforms

scholarly journals The Comparative Legislators Database

2020 ◽  
Author(s):  
Sascha Göbel ◽  
Simon Munzert
Keyword(s):  
Visual Information ◽  
Comparative Research ◽  
R Package ◽  
Micro Data ◽  
Public Attention ◽  
Social Scientists ◽  
Individual Level ◽  
Open Collaboration ◽  
Ready Access ◽  
Collaboration Platforms

Knowledge about political representatives’ behavior is crucial for a deeper understanding of politics and policy-making processes. Yet resources on legislative elites are scattered, often specialized, limited in scope, or not always accessible. We introduce the Comparative Legislators Database (CLD), which joins micro-data collection efforts on open-collaboration platforms and other sources, and integrates with renowned political science datasets. The CLD includes political, sociodemographic, career, online presence, public attention, and visual information for over 45,000 contemporary and historical politicians from ten countries. We provide a straightforward and open-source interface to the database through an R package, offering targeted, fast, and analysis-ready access in formats familiar to social scientists and standardized across time and space. We verify the data against human-coded datasets and illustrate its use for investigating legislator prominence and turnover. The CLD contributes to a central hub for versatile information about legislators and their behavior, supporting individual-level comparative research over long periods.

Content Growth and Attention Contagion in Information Networks: Addressing Information Poverty on Wikipedia

2020 ◽  
Vol 31 (2) ◽  
pp. 491-509
Author(s):  
Kai Zhu ◽  
Dylan Walker ◽  
Lev Muchnik
Keyword(s):  
Feedback Loop ◽  
Large Scale ◽  
Natural Experiment ◽  
Information Networks ◽  
Community Governance ◽  
Causal Understanding ◽  
Open Collaboration ◽  
Information Poverty ◽  
Natural Dynamics ◽  
Collaboration Platforms

Open collaboration platforms have fundamentally changed the way that knowledge is produced, disseminated, and consumed. Although the community governance and open collaboration model of Wikipedia confers many benefits, its decentralized nature can leave questions of information poverty and skewness to the mercy of the system's natural dynamics. In this paper, we leverage a large-scale natural experiment to gain a causal understanding of how exogenous content contributions to Wikipedia articles affect the attention that they attract and how that attention spills over to other articles in the information network. We find a positive feedback loop: content contribution leads to significant and long-lasting increases of attention and future contribution. Unfortunately, this also suggests that impoverished regions of information networks are likely to remain so in the absence of intervention. However, our analysis reveals a potential solution. Articles in impoverished regions of information networks are particularly positioned to benefit from the phenomenon of attention spillovers. Using a simulation that is calibrated with real-world link traffic of the Wikipedia network, we show that an attention contagion policy, which focuses editorial effort coherently on impoverished regions, can lead to as much as a twofold gain in attention relative to unguided contributions.

scholarly journals The Comparative Legislators Database

2021 ◽  
pp. 1-11 ◽  
Author(s):  
Sascha Göbel ◽  
Simon Munzert
Keyword(s):  
Visual Information ◽  
Comparative Research ◽  
R Package ◽  
Micro Data ◽  
Public Attention ◽  
Social Scientists ◽  
Individual Level ◽  
Open Collaboration ◽  
Ready Access ◽  
Collaboration Platforms

Abstract Knowledge about political representatives' behavior is crucial for a deeper understanding of politics and policy-making processes. Yet resources on legislative elites are scattered, often specialized, limited in scope or not always accessible. This article introduces the Comparative Legislators Database (CLD), which joins micro-data collection efforts on open-collaboration platforms and other sources, and integrates with renowned political science datasets. The CLD includes political, sociodemographic, career, online presence, public attention, and visual information for over 45,000 contemporary and historical politicians from ten countries. The authors provide a straightforward and open-source interface to the database through an R package, offering targeted, fast and analysis-ready access in formats familiar to social scientists and standardized across time and space. The data is verified against human-coded datasets, and its use for investigating legislator prominence and turnover is illustrated. The CLD contributes to a central hub for versatile information about legislators and their behavior, supporting individual-level comparative research over long periods.

scholarly journals How to Manage Crowdsourcing Platforms Effectively

2020 ◽  
Vol 12 (1) ◽  
pp. 18-23
Author(s):  
Ivo Blohm ◽  
Shkodran Zogaj ◽  
Ulrich Bretschneider ◽  
Jan Marco Leimeister
Keyword(s):  
Batch Processing ◽  
Governance Mechanisms ◽  
Distributed Knowledge ◽  
Complex Problems ◽  
Open Collaboration ◽  
Repetitive Tasks ◽  
Information Pooling ◽  
Collaboration Platforms

AbstractCrowdsourced tasks are very diverse – and so are platform types. They fall into four categories, each demanding different governance mechanisms. The main goal of microtasking crowdsourcing platforms is the scalable and time-efficient batch processing of highly repetitive tasks. Crowdsourcing platforms for information pooling aggregate contributions such as votes, opinions, assessments and forecasts through approaches such as averaging, summation, or visualization. Broadcast search platforms collect contributions to solve tasks in order to gain alternative insights and solutions from people outside the organization, and are particularly suited for solving challenging technical, analytical, scientific, or creative problems. Open collaboration platforms invite contributors to team up to jointly solve complex problems in cases where solutions require the integration of distributed knowledge and the skills of many contributors. Companies establishing crowdsourcing platforms of any type should continuously monitor and adjust their governance mechanisms. Quality and quantity of contributions, project runtime, or the effort for conducting the crowdsourcing project may be good starting points.

Collaboration platforms in water management

2011 ◽  
Vol 6 (3) ◽  
Author(s):  
C. E. Hidaka ◽  
H. R. Kolar ◽  
R. P. Williams ◽  
P. G. Hartswick ◽  
S. B. Foong
Keyword(s):  
Water Management ◽  
Information Technology ◽  
Water Resources ◽  
Data Sources ◽  
Effective Management ◽  
Holistic View ◽  
The World ◽  
Technical Architecture ◽  
Multiple Levels ◽  
Collaboration Platforms

In many parts of the world, management of water resources and infrastructures is fragmented between agencies at multiple levels – state, provincial, and local – and sometimes between functions within individual agencies. Consequently it is often impossible to take a holistic view of the issues at hand to enable effective management of the resource or infrastructure – either because of the overhead of managing the coordination required, and/or because of politics between the different stakeholders. In their work for IBM, the authors created a concept of an information technology (IT)-enabled “collaboration platform” that integrates different water data sources with IT tools to enable multiple entities to maintain and share a “common operating picture.” This greatly assists with coordination and reduces politics to manageable levels. In this paper, the authors describe the collaboration platform and its benefits by reference to examples of such platforms in use, and propose a reference technical architecture for creating collaboration platforms.

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