2016 Proceeding
This session is intended to be a half-day workshop covering a number of studies related to the utilization of data within an innovation context, and the ability for the Web to facilitate these processes. This can be from, but is not limited to, an organizational, individual, social and/or psychological perspective. Merging theory and practice from multiple disciplines is wholly welcomed due to the interdisciplinary nature of the topic and of the wider Web Sci 16 conference.
The following are the preliminary goals of the workshop:
•Uncover best practices on building and managing innovation ecosystems on the Web
•Provide case examples of data-driven innovation ecosystems/network
•Provide models and strategies for managing and implementing a data-driven innovation scenario
•Present challenges associated with utilising data in this context
•Determine skills requirements in data-driven innovation
•Determine characteristics of data appropriate for innovation
Proceeding Downloads
Ethical and legal support for innovation on web observatories
In this paper, we consider the ethical and legal context and challenges for the further development of Web Observatories (WOs). First the need for and importance of a transparent and robust legal and ethical framework that can be adopted by WOs is ...
Recommendations beyond the ratings matrix
Recommender systems have become indispensable for several Web sites, such as Amazon, Netflix and Google News, helping users navigate through the abundance of available choices. Although the field has advanced impressively in the last years with respect ...
On the quest for changing knowledge
For centuries, science (in German "Wissenschaft") has aimed to create ("schaffen") new knowledge ("Wissen") from the observation of physical phenomena, their modeling and empirical validation. With this vision paper, we propose to do so by observing not ...
Ideas matchmaking for supporting innovators and entrepreneurs
In this short paper we show a system able to crawl content from the Web related to entrepreneurship and technology, to be matched with ideas proposed by users in the InnovVoice platform. We argue that such a service is a valuable component of an ...
Facilitating data-driven innovation using VOICE observatory infrastructure
Data is the new capital of the global economy and data analysis can increase efficiency and reduce costs for innovation. Finding and accessing both public and private data is essential to exploiting this data capital. In this paper we describe a ...