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API ekosistem za pametna mesta in skupnosti

KumuluzAPI

Establishing an API ecosystem of smart cities and communities

Project duration jul 2020 - jun 2022

Kumuluz API has been approved for financing by the public tender "Incentives for Research & Development Projects 2", by the Ministry of Economic Development and Technology - MGRT.

The investment is co-financed by the Republic of Slovenia and the European Union from the European Regional Development Fund - EU ERDF.

In innovative economies of smart cities and communities, APIs act as a link that enables the creation of new (digital) value chains, partnerships, and novel uses.

Component research and development with the goal of establishing an API ecosystem of smart cities and communities

Kumuluz API is a research and development project that created an innovative solution for establishing an API ecosystem in smart cities and communities.

An API ecosystem can highlight key data and functionalities of different segments of smart cities, including traffic data, public transport, utilities, health services, and tourism data.

Smart cities can use their own or standardized descriptions of APIs, but they always need a platform that will drive and expose APIs to users or applications in a unified way - one that will connect the systems of individual providers.

The KumuluzAPI project addresses the experimental development of innovative building blocks for establishing an ecosystem API in a smart city and community environment.

Goals and KPIs

Goal 1: The number of developed sample city-native APIs that enable contextual operation: 5

Goal 2: Development of a customized smart-city API gateway with IoT support: 1

Goal 3: The number of different developed models for monetizing the use of APIs in smart city and community environments: 3

Project partners

Lead partner:

  • Sunesis, Innovative Technologies and Services, d.o.o., Dr. Eva Zupančič

Partner:

  • Abelium d.o.o., research and development, Dr. Boris Horvat

Similar projects

  • Kumuluz Crowdsensing - Researching new technologies for automatic data collection and the measurement of crowd data
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