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| Conference start | October 08, 2019 |
To face the complexity and unpredictability of today’s business and social systems, innovation and rapid adaptation of emerging technologies are a key imperative. Collaborative Innovation Networks (COINs) are virtual teams of intrinsically motivated innovators that get together over the Internet to create something radically new. As self-organizing emergent social systems, COINs are primary building blocks of innovation for coping with external change. COINs members are driven by a desire to have an impact on their community, local or global, by designing new products, methodologies and approaches to solve problems. The advent of machine learning, natural language processing (NLP), and artificial intelligence allows humans to collaborate with computers as peers on a scale as never before. In the last two to three years machines have become capable of reading emotions in faces and through body sensors, and to recommend interventions to team members for better collaboration which have never been possible before.
The 9th International Conference on Collaborative Innovation Networks will gather scholars, practitioners and entrepreneurs interested in learning the latest research on how the emergence of digital technologies, in particular artificial intelligence (AI), human-machine interaction and interfaces, as well as big data, has changed the nature of collaboration.
We welcome full papers, research in progress, and workshop proposals in all areas of Collaborative Innovation Networks, including methodological approaches, applications of human-machine interactions and their impact on society, leadership models, as well as new applications of innovative data visualization tools to support the emergence of collaborative networks.
Innovation through AI-empowered COINs is particularly important in health and happiness. Measuring human dynamics and interaction has the potential to lead to interventions for a healthier and happier life. COINs provide a self-organizing platform enabling process improvement and knowledge flow optimization, and offer a novel approach to human resource management. In the past, COINs have been identified and described in literature as a mechanism to allow patients, families, doctors, and researchers develop innovative ways of dealing with chronic diseases and improving patient and caregiver quality of life.
A focus area for COINs is in entrepreneurship, where COINs can strengthen adaptability and transformability to leverage novel ideas as a competitive advantage. Inside large corporations COINs can form spontaneously and with minimal management intervention to creatively react to new opportunities and external threats. COINs might appear in well-established firms as a bottom-up response to find new applications for emerging technologies, thus flexibly adapting to change and anticipating competitors’ next moves. COINs also will be tremendously useful to startups, offering new self-organizing forms of leadership, where all stakeholders, including founders, early employees, customers, suppliers and business partners, collaborate to develop new and innovative products, services, and business models for an ever-changing environment.
Creativity through COINs is also necessary in social innovation and entrepreneurship for sustainability. COINs can help align practice with policy and provide leadership in seeking funding from diverse sources. In urban areas, social innovation through COINs has turned crisis into opportunity, as the city has become a source of inspiration and solutions for innovative new models of urban governance.
Creating COINs of students in an educational setting will teach them latest advances in artificial intelligence, deep learning and predictive analytics, where self-organizing student teams might collaborate over long-distance to solve complex problems. We invite papers that explore how faculty, students and researchers can leverage the power of shared creativity and imagine together a future of shared collaborations across departments, institutions and countries.
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Accepted full papers are anticipated to be published by Springer in an edited volume in the series "Springer Proceedings on Complexity".
Papers are subject to double blind peer reviewing. Your submission should have authors' names and affiliations removed, and avoid obvious identifying statements. Citations to your own relevant work should not be anonymous, but rather should be done without identifying yourself as the author. For example, say "Prior work by [authors]" instead of "In our prior work."
Papers should be submitted in .doc(x) or .pdf format at a maximal length of 14 pages. All papers must be formatted according to the Springer template. A list of key style points on manuscript structure, figure resolution, and reference style can be found here.
If you plan to submit a Workshop proposal, please include the following:
All questions about submissions should be emailed to Francesca Grippa.