Presans @ X Open Innovation | expert smartsourcing

The X Open Innovation (Ecole Polytechnique Alumni Group on Open Innovation)  squad convened again recently for an exchange of views on the subject of expert smartsourcing. No surprise, Presans was on board, represented by Albert Meige and Hervé Arribart. As readers of this blog are already familiar with the XOI drill by now, we’ll just jump to the pitch set from here. Michael Haddad based his contribution on an article on technology scouting he wrote last year for the Paristech Review. The article provides a good picture of the different approaches to open innovation, with an emphasis on the problems of trust and IP management. Michael also noted that information based on the analysis of publications and patents will automatically

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Presans invited to the Tuesdays of Innovation (video)

On February 26th 2013, Marc Giget invited Presans to the “Mardis de l’Innovation” to present its vision of the Open Innovation and crowdsourcing. (See video at the bottom of this post!) Les Mardis de l’Innovation (the Tuesdays of Innovation), presented by Professor Marc Giget, aim to spread the culture of innovation in various forms through open conferences and debates. Topics include: theories and key concepts of innovation, best practices in innovation around the world, innovation in areas of rapid change, important periods of the past for innovation and innovation in other countries. The theme of the evening of February 26, was the Open Innovation and crowdsouring. Marc Giget presented the recent developments in crowdsourcing with a focus on crowdfunding. Then four

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Citroën Creative Awards

Citroën recently launched its 3rd Creative Awards on the topic of connected vehicle smartphone applications. The motto of the challenge: “Open up your ideas”. Participants have until 2/10/2013 to submit their proposals. In 2012 the challenge drew 802 ideas from 87 countries. It will be interesting to see if this open approach yields new applications in a domain that has already received a lot of attention from the manufacturer.

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A Novel Approach for Open Innovation Platforms: Multistep Dynamic Expert Sourcing : Conclusion

In the first section, the main drawbacks of traditional problem solving platform were presented. These drawbacks are the difficulty to attract and engage sufficient number of qualified experts, the difficulty to efficiently match seeker problems with potential experts, the difficulty to give the seeker convincing incentives to reward all promising solutions and the difficulty to manage confidentiality and to ensure a reliable transfer of intellectual property. In the second section, we presented the disruptive approach that we have developed and implemented. The Multistep Dynamic Expert Sourcing approach relies on both an innovative Expert Search Engine technology and a three-step process for the actual problem solving phase. The Expert Search Engine ensures a relevant matching between experts and problems and avoids

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Main advantages of Multistep Dynamic Expert Sourcing

Implementing the MDES approach with the right technological and methodological assets (i.e. a powerful Expert Search Engine and a relevant methodology to enhance problem formulation) presents strong advantages for experts, seekers and Open Innovation intermediaries (problem solving platforms). For the experts Get relevant problems without having to register Ensure the protection of their intellectual property Avoid irrelevant work and frustration Get the guaranty to be paid for their work For the seekers (the client companies) Have a better control of confidentiality Get potential access to tens of millions of worldwide experts Engage more and better experts Get better solutions For the intermediaries (the platforms) Decrease cost structures Increase scalability Build a reputation of quality & trust Improve the solving rate

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A Guide to Open Innovation & Crowdsourcing

We are pleased to announce the release of the book on Open Innovation and Crowdsourcing that we have co-authored. The new book, called A Guide to Open Innovation & Crowdsourcing, edited by Paul Sloane was launched this week. Paul Sloane manage to pull together contributions from the most active players in the field of Open Innovation worldwide. Most of the contributions are really insightful and I really recommend the reading of the book. Contributors include Henry Chesbrough, Stefan Lindegaard and Andrew Gaule to name but three. If you do buy a copy, thank you and do let us know what you think. (please note that we have participated to the writing for free and that we are not earning a single

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Multistep Problem Solving Process

Multistep rather than black box The multistep approach allows to engage experts and to satisfy seekers, in a safe, secured and trustable environment. It ensures better performance for problem solving, less frustration among solvers and less disappointment among seekers. Online problem solving is often thought of as a “black-box process”: the seeker gives the input, waits a few months and finally opens the box to discover the set of submitted solutions. This process implemented by nearly all Open Innovation platforms has various drawbacks, the main ones being: motivation decrease and risk-averse behavior of solvers, inefficiency to reach quality and relevant solutions, limited incentives for seekers to be fair and pay for all valuable solutions. We propose instead a three-step “gray-box”

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Expert Sourcing and Dynamic aspect

Expert sourcing rather than crowdsourcing To solve highly critical and technological problems, a company needs experts, not random solvers. This is why MDES relies on highly skilled experts rather than solvers. Dynamic (or On-Demand) rather than subscription-based As previously explained, most Open Innovation intermediaries or network of experts rely on registration-based platforms: potential experts have to know about the platform and to register. This is not the right paradigm to address global expertise. Instead, we propose to build a worldwide automatic network of Experts that can be solicited on-demand and that allows automatic profiling of experts. In addition, this paradigm enhances confidentiality, since the visibility of the problems can be restricted to preselected experts (and not to any registered solver).

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A disruptive approach: Multistep Dynamic Expert Sourcing (MDES)

Expert Sourcing The French startup PRESANS developed and implemented the Multistep Dynamic Expert Sourcing (MDES) approach. It relies on a combination between a state-of-the-art web-mining technology and a secured multistep problem solving process. In this approach, experts do not register, instead, the various digital tracks they leave on the web allow to detect and to invite them on-demand to tackle most challenging technological problems. MDES has strong advantages for the platform, for the experts and for the client companies. The pillars of the Dynamic Expert Sourcing Approach As illustrated in Figure 1, the MDES approach seeks to bring value to seekers by connecting their needs to worldwide scientific knowledge & intelligence. The MDES philosophy holds on 3 points: Expert Sourcing Dynamic

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Confidentiality and intellectual property issues are poorly addressed

Confidentiality. This is the big issue on the client side Companies using Open Innovation Platforms are mostly concerned by the confidentiality of the information they provide to the intermediary and to the rest of the world. Even if the name of the company remains anonymous, it may be easy for competitors to guess who is behind the problem, which is a serious issue. Putting a problem online and broadcasting it to a priori unknown solvers is too sensitive for many companies, and is a significant break for the use of Open Innovation platforms. Online Non-Disclosure Agreements proposed to solvers is not a satisfactory solution as anybody can sign them without real engagement or verification. Intellectual property (IP) management is yet

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