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.
Based on the findings from the IMAILE project, which conducted a pre-commercial procurement of Personal Learning Environment software, the LEA project aims to develop a critical mass of European procurers demanding innovative learn tech solutions.
Under the PPI4HPC project, funded by the European Commission (call EINFRA-21-2017), a group of leading European supercomputing centres (BSC in Spain, CINECA in Italy, Forschungszentrum Juelich-JSC in Germany and GENCI/CEA in France) formed a buyer’s group to execute a joint Public Procurement of Innovative Solutions (PPI) for the first time in the area of High-Performance Computing (HPC). The document provides details on the procedure that the partners undertook to initiate and run the joint public procurement process and the legal lessons that they learnt along the course of actions.
Technology has massive potential to boost learning, teaching and assessment, and since the onset of the COVID-19 crisis, it’s never been more important as a tool for maintaining education even at a distance. To help schools buy the technology they need, a series of videos has been produced by LEA – Learning Technology Accelerator, to introduce schools to the powerful tool of innovation procurement. The videos cover: • Why innovation procurement in education • Public Procurement of Innovation in 4 steps • Pre-Commercial Procurement in 5 steps • LEA School Labs – testing new technologies • LEA Buyers Network – practical support for buying learntech
Learning Technology Accelerator Online course is for organisations and people who are interested in buying learning technologies. On this course you will learn: •Basics of innovation procurement (Pre-Commercial Procurement and Public Procurement of Innovation) •5 Steps to PCP and PPI in the field of Education •How to identify and communicate your needs to other interested procurers •Where to search for funding and how apply for it •How to analyze the market and confirm an innovation gap •How to implement a PCP •Differences between joined and coordinated PPI legal frameworks •Bonus chapter on emerging learning technologies between 2020 to 2030
The LEA Project’s (learntechaccelerator.eu) goal is to accelerate knowledge transfer, dialogue and awareness-raising of innovation procurement within the learning technology (learntech) sector. A brochure has been published to selectively showcase reports and guidelines on innovation procurement of learning technology most relevant for universities. The publication covers the state-of-the-art and innovative trends in learntech development and also highlights useful tools for needs assessment and stakeholder dialogue to ensure that solutions developed through innovation procurement are fit for purpose for end users. Guidance from the European Commission on the legal framework and step by step approaches for innovation procurement is also included.
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.
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
This guide provides clear steps for public authorities that want to become “innovation-friendly” – that is achieving the most innovative, energy-efficient solutions within their procurement actions, particularly through increased dialogue with suppliers and producers.
Multiple English, Danish, Portuguese, Spanish
The SMART SPP consortium, c/o ICLEI - Local Governments for Sustainability