Fostering collaboration through API economy

Bonardi, Michele; Brioschi, Maurizio; Fuggetta, Alfonso; Verga, Emiliano Sergio; Zuccalà, Maurilio

doi:10.1145/2897022.2897026

Cited by 12 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To extend such a solution to the whole European area, the European Commission started in 2022 with two main actions. The concept of a datahub is not far from the early implementation of the API collection, which was proposed by E015 for Regione Lombardia for the Expo 2015 [ 79 ].…”

Section: Mobility and Transport Data Formats And Standardmentioning

confidence: 99%

Data Sources and Models for Integrated Mobility and Transport Solutions

Bellini,

Bilotta,

Collini

et al. 2024

Sensors

View full text Add to dashboard Cite

The number of data sources and models in the mobility and transport domain strongly proliferated in the last decade. Most formats have been created to enable specific and innovative applications. On the other hand, the available data models present a certain degree of complexity in terms of their integration and management due to partial overlaps, and in most cases, they could be exploited alternatively to implement the same smart and latest innovative solutions. This paper offers an overview of data models, standards and their relationships. A second contribution highlights any possible exploitation of data models for implementing operational processes for city transportation management and for the feeding of simulation and optimization processes that produce other data results in other data models. The final goal in most cases is the monitoring and control of city transport conditions, as well as the tactic and strategic planning of city infrastructure. This work was developed in the context of the CN MOST, a national center of sustainable mobility in Italy, and it is based on exploiting the Snap4City platform.

show abstract

Section: Mobility and Transport Data Formats And Standardmentioning

confidence: 99%

Data Sources and Models for Integrated Mobility and Transport Solutions

Bellini,

Bilotta,

Collini

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Bonardi et al (2016, p. 38) use “API Economy”, as some kind of metaphor, “as a reference collaboration paradigm, because of its intrinsic potential in fostering innovation going beyond the traditional development of vertical solutions.” In their “API Economy scenario,” “APIs can be considered as the ‘wholesale’ version of a Web presence, allowing other parties to access and integrate company’s data and resources into their public or private sites and applications.” (Bonardi et al , 2016: p. 32).…”

Section: Looking For the Application Programming Interfaces Economymentioning

confidence: 99%

APIs, the glue under the hood. Looking for the “API economy”

Simon¹

2021

DPRG

View full text Add to dashboard Cite

Purpose Some specialized consultancies have been making the case of an “API economy”. This study aims to investigate the issue, marshalling data on the economic dimension, to better understand the environments of APIs. It offers an overview of the functions and definition of application programming interfaces (APIs) in the backdrop of the history of services computing. The paper attempt assessing the economic value (size of the market) of APIs and reviews some of the available metrics. The paper also takes a look some issues and challenges ahead for the deployment of all kind of APIs. Design/methodology/approach The paper is based on desk research and a scientific and grey literature review. However, it relies mostly on specialized consultancies although from a critical viewpoint. The paper provides an historical account of the notions of APIs and API economy. Findings The paper questions the idea of an “API economy” that still stands on the “hype” side and is not clearly substantiated. It reveals that the number of firms with mature API programs remains small and that there is an uneven development across industries (traditional firms are less active than digital natives) and countries (Silicon Valley is leading). It highlights that the domination of IT companies (leaders and pioneers of APIs) raises issue of competition and at some point, may prevent rather than foster innovation. Research limitations/implications There is no robust data about the size of the API market nor about its value. Sources are highly heterogeneous and delimitations not always precise. The standard metrics or indicators are hard to find. Further research would be needed to better document this area. Practical implications The paper reviews some of the expected benefits of the use of APIs as enablers of private or public ecosystems. Social implications The paper delineates some of the economic benefits of the public APIs based on open data. It shows some positive examples of public APIs in the EU. Originality/value There is hardly any mention of the API economy in research literature. Most of the academic literature still stems from engineering department or business-management departments, not department of economics. Consultants would usually focus on the potential of business growth, on how to design an effective API strategy but not on the very economic dimension. The paper attempts providing a synthesis of the available data.

show abstract

“…This requirement removes only a few events above 10 17 eV, but below that energy the amount of removed events rapidly increases, mainly because of the trigger efficiency. Composition measurements below 10 17 eV become possible by changing the triggering strategy in the future, for example by triggering on radio-only [18] or a combination of radio and particles.…”

Section: Event Selectionmentioning

confidence: 99%

Cosmic Ray Mass Measurements with LOFAR

et al. 2017

View full text Add to dashboard Cite

Abstract. In the dense core of LOFAR individual air showers are detected by hundreds of dipole antennas simultaneously. We reconstruct X max by using a hybrid technique that combines a two-dimensional fit of the radio profile to CoREAS simulations and a one-dimensional fit of the particle density distribution. For high-quality detections, the statistical uncertainty on X max is smaller than 20 g/cm 2 . We present results of cosmic-ray mass analysis in the energy regime of 10 17 -10 17.5 eV. This range is of particular interest as it may harbor the transition from a Galactic to an extragalactic origin of cosmic rays.

show abstract

Fostering collaboration through API economy

Cited by 12 publications

References 1 publication

Data Sources and Models for Integrated Mobility and Transport Solutions

Data Sources and Models for Integrated Mobility and Transport Solutions

APIs, the glue under the hood. Looking for the “API economy”

Cosmic Ray Mass Measurements with LOFAR

Contact Info

Product

Resources

About