Take a step back to move forward
On Thursday 21 February 2019 the Corvers-MSM Chair in Innovation Procurement organizes a workshop on Big Data Innovation Procurement - how to capitalize on shared opportunities for public and private benefits.
Date: Thursday, 21 Februay 2019
Time: 16:00 hrs. - 21.30 hrs. (including network dinner)
Place: Functional Hall, Maastricht School of Management, Endepolsdomein 150, Maastricht (NL)
This workshop is organized by the Corvers-MSM Chair in Innovation Procurement, with the following speakers: Mr. Stephan Corvers, Dr. Anne Rainville, Dr. Ramona Apostol and Prof. Nicola Dimitri.
Data can be considered the 21st century’s most important raw material, an essential resource for achieving economic growth, job creation and other societal benefits. Whether incentivized by policy and legislation, or by own challenges and needs, public authorities throughout Europe are exploring possibilities to improve public services and decision-making (e.g. related to epidemics response, urban planning, road safety, environmental protection etc.) by analyzing and learning from big data available to them. Before launching a big data innovation procurement, public authorities face challenges of clearly understanding their needs, the availability and relevance of data, the capabilities of market parties and the boundaries of the policy and legal framework. For suppliers, challenges are understanding policy objectives and capturing the real needs of public authorities to offer the most valuable big data solutions.
The workshop navigates you through the knowledge, methodology and best practice that you can replicate in your practice.
Participants from the public and private sectors alike will gain a clear understanding of the social and economic value of big data from each other’s perspectives:
By structuring the course around 2 real-life cases of big data innovation procurement and several other practical examples, you will be able to gain knowledge and insight that is readily applicable to your daily activities. Moreover, the course includes an interactive session where you will be able to test your ideas for potential applications of big data innovations with experts and colleagues.
For more and to register, please click here.