Doing innovation procurement requires specific knowledge and expertise. Luckily, many resources exist, including guidance, criteria sets and case studies, which can help you on your journey to purchasing innovative goods and services.
In addition, you can visit our 'Services and Expertise' page to find more information on specific projects, initiatives and other services which can support you to do innovation procurement in practice.
This Catalogue of Good Practices showcases five exemplary cases in Public Procurement of Innovation from the different InnoBrokers pilot projects. The good practice cases presented in the document encompass different stages of the brokerage service and focus in particular on pre-procurement planning and support, exemplary needs assessment process and market engagement methods.
Large scale scientific projects in fields like genome analysis, astrophysics, life science and photon science rely on global collaboration. This requires huge amounts of data storage and analysis tools which meet the specific needs of the science and research community. A group of ten public research organisations from 7 Euroepan countries – headed by CERN, the European Organisation for Nuclear Research - joined forces in a Pre-Commercial Procurement (PCP) project, which aimed to design a cloud-based system specifically for science and research. This PCP was cofounded by the European Commission’s H2020 Framework Programme via the Helix Nebula Science Cloud project. In recognition of its outstanding use of PCP, CERN was also awarded the 2019 Procura+ Outstanding Innovation Procurement in ICT Award, which is supported by the EU-funded Procure2Innovate project.
EC GPP Case Study - Consorci de la Ribera & Alzira Municipality (Spain) used an innovation procurement approach to sustainably refurbish an unused warehouse and transform it into a Youth Centre (“Casal Jove”) for Alzira. Suppliers were asked to provide innovative façade renovations which would significantly reduce the overall building energy consumption and associated CO2 emissions without compromising the building’s functionality and comfort.
A guide aimed at presenting the legal tools available to buyers and companies to develop new solutions through innovation procurement. The document also highlights some feedback on the application of the different tools but also of good practices to be disseminated and of the points of vigilance on legal pitfalls to be avoided.
What are the main fields of innovation in public IT? What are the most important developments, what application options exist and what effects can be expected? Where are opportunities, where are risks lurking? In order to answer these questions, five key areas of innovation in public IT in a data analysis of almost two million scientific publications were identified: resource-efficient AI, new developments in blockchain technology, artificial realism, weaknesses in AI systems and the automated detection of human emotions , Intentions and behaviour. In addition to a detailed look at the current fields of innovation, we also take a quick look back and give recommendations for the future design of developments triggered by the fields of innovation.
Artificial Intelligence (AI), one of the fastest-growing technologies in recent years, has the potential to play a mission-driven role in cities’ climate action plans. The AI4Cities project aims to harness this potential by bringing together leading European cities looking for energy and mobility solutions to reduce GHG emissions and support their climate action commitments towards carbon neutrality. Helsinki (Finland), Amsterdam (Netherlands), Copenhagen (Denmark), Paris region (France), Stavanger (Norway) and Tallinn (Estonia) are the six European cities and regions involved in this project. In AI4Cities, these six cities will go through a Pre-Commercial Procurement (PCP) process. PCP is an innovation procurement tool to stimulate market innovation as it enables the public sector to steer the development of new solutions directly towards its needs. In this context, the six cities will define the needs and requirements of the energy and mobility solutions to be developed, and challenge start-ups, SMEs and companies to design innovative solutions applying the use of AI and related enabling digital technologies, such as 5G, Internet of Things (IoT), cloud computing and big data applications. The AI4Cities project is divided into five main phases (0-4): one preparatory phase (0), three standard PCP phases (1 – solutions design, 2 – prototype phase, and 3 – prototype testing phase) and one final impact assessment and follow up phase (4). A group of follower cities will be recruited throughout the project to enhance the market uptake of the developed solutions.
Europe/EU, Denmark, Estonia, Finland, France, Netherlands, Norway