Mlab DA seminar this Thu 21.4.2016 in room 429, Miestentie 3B, 5-7pm, welcome! 

Rasmus Vuori: Generative Storytelling

Merja Salonen: Noisy knowledge – the role of provocative art in business value creation

Rasmus Vuori: Generative Storytelling

In this presentation I will propose a set of components for a hierarchical metadata model for generative media system. The framework will be based on the original ontospatial model used in our previous Enactive Cinema-research, but expanded for more generalized use where context awareness, variable state change behavior and narrative inertia is required. Some key components in the model are, in addition to the metadata representation of meaning i.e ontospatial data, the addition of quantified valence variables (attraction and aversion) and parametric triggers that can initiate state changes. A few experimental changes to the original model of annotation with fuzzy data will also suggested, like the addition of a fuzzy void dimension in the onto space.

The development of this framework has been largely motivated as a toolset for authors of generative systems, but also looking into issues that many developers of mimicking AI systems have stumbled acress. In the proposed metadata framework a generative system can not only learn what to do, but also what to avoid.

At this stage the proposed framework is the latest addition of my research hypothesis regarding computational inertia in generative narratives, which initially will be tested on cinematic material but as a more generalized model could be applicable in much wider context, from computer games to automated chat bot applications.

Merja Salonen: Noisy knowledge – the role of provocative art in business value creation

The presentation focuses on discussing my research plan. The study concentrates on exploring art-activism against corporations from the artist’s perspective questioning the motive, intention and definition of success. In order to indicate the value of art-activism to corporations, the impact of social media discussions along corporations’ reactions must be investigated.

Previous research in arts on business context indicates that deploying arts in business enhances the organization’s competence in corporate value creation. Arts and artistic capabilities are regarded as consultative skills in business development focusing on goal-orientated interaction between the artist and the business in question. Art-activism against corporations has been excluded from earlier academic research from business perspective.  Therefore, this study explores the relations and reflexions of art-activism which is targeted to corporations and presented in digital media. The qualitative research consists of 2 – 4 case studies in the field of contemporary art and documentary film. The study investigates the motives, intentions and reception of art-activism. The data collection consists of semi-structured interviews with artists and representatives at the corporations. Online survey complemented with netnography and online depth interviews are conducted with participants in social media.  The study aims to show the knowledge potential of the relationships between art-activism and social media participators in the context of customer understanding in corporations.

CALL FOR PAPERS ACM Journal on  Computing and Cultural Heritage Special Issue on Digital Infrastructures for Cultural Heritage New Deadline 30th April 2016 The digital component is now pervasive in Cultural Heritage research and practice. From the pioneering and sporadic applications of the last quarter of the 20th century, it has grown to become an essential for any CH investigation or management project. This development has led to the creation of a new interdisciplinary domain, the so-called Digital Heritage sector, and the need to support, structure, and manage the use of facilities, resources, services and applications no less than in other research domains, producing long-lasting infrastructures. Such infrastructures may address specific aspects of digital heritage, such as visualization or documentation, or cover the full range of heritage-related activities, from investigation to conservation, management, education and communication. It is not by accident that recent large interventions such as the on-going “Pompeii Grand Project” start from a knowledge management plan and the digital data acquisition of all the archaeological remains.  Originally, digital heritage technology often comprised an exercise in the application of computer techniques originally conceived for other goals; the specific needs of such use has now dictated new requirements and has led to the development of new tools and methods tailored for heritage applications. The shift towards an application profile for heritage-oriented computer-based methods has implications for research infrastructures as much as for individual applications, and this is the scope of this special issue. Our goal is to collect papers dealing with innovative research on the many facets of digital heritage infrastructures, such as: Knowledge organization and semantic processing in Cultural Heritage and Digital Libraries Data management, search and mining Natural language processing Multimedia systems and applications for Cultural Heritage Big Data in Cultural Heritage applications Visual data acquisition, storage and display Visualization, both research- and communication-oriented Immersive environments, virtual and augmented reality User studies, such as museum and sites applications, human interfaces, interaction and usability e-Learning: Tools for Education, Documentation and Training in Cultural Heritage As the intended audience includes both heritage researchers and professionals, and computer and information scientists, to be accepted papers will not only need to present innovative computer science content but also refer to a clear Cultural Heritage context where they have been, or are going to be, tested and evaluated. They should address a comprehensive framework – the infrastructure – rather than an individual application, unless the latter is the backbone of an infrastructure.  Accepted papers will be published in the ACM Journal on Computing and Cultural Heritage. Please follow the format instructions for the journal. When submitting, please select “Digital Infrastructure for Cultural Heritage” as the manuscript type in the journal submission system. Important Dates (planned) Submission Deadline: April 30th, 2016 Author notification: July 1st, 2016 Revised Papers expected: Sept. 1st, 2016 Final acceptance notification: November 2016 Publication: Issue 1, 2017 Guest Editors Massimo De Santo, University of Salerno, Salerno, Italy Franco Niccolucci, PIN, University of Florence, Prato, Italy Julian Richards, University of York, York, UK  Main contact Massimo De Santo, University of Salerno, Salerno, Italy

CALL FOR PAPERS Transactions on Social Computing A New ACM Journal Editor-in-Chief: David McDonald, University of Washington, USA INFORMATION FOR CONTRIBUTORS  ACM Transactions on Social Computing (TSC) seeks to publish work that covers the full spectrum of social computing including theoretical, empirical, systems, and design research contributions. The editorial perspective is that social computing is fundamentally about computing systems and techniques in which users interact, directly or indirectly, with what they believe to be other users or other users’ contributions. TSC welcomes research employing a wide range of methods to advance the tools, techniques, understanding, and practice of social computing, including: theoretical, algorithmic, empirical, experimental, qualitative, quantitative, ethnographic, design, and engineering research. Social computing will continue to be shaped by foundational algorithmic, econometric, psychological, sociological, and social science research and these broad based perspectives will continue to have a profound influence on how social computing systems are designed, built and how they grow. TSC particularly solicits research that designs, implements or studies systems that mediate social interactions among users, or that develops or studies theory or techniques for application in those systems. Examples of such social computing systems include, but are not limited to: instant messaging, blogs, wikis, social networks, social tagging, social recommenders, collaborative editors and shared repositories. The scope of research covered within TSC includes: Understanding motivations for contributing to and participating in social computing systems Tools that help users understand the individual and collective roles of participants in social computing systems The influence of scale; how differing scales of human and machine participation changes the designs and adoptions of systems Micro-tasking systems and techniques for decomposing complex activities into recomposable tasks that can be completed by mixtures of people and machines System architectures and infrastructure for developing social computing platforms Foundational algorithmic analysis that accounts for human and machine data and runtime complexity The roles of artificial agents in social computing spaces, the design, creation, and management of those agents relative to social interactions within a social computing system Research on privacy mechanisms — both formal and interactive — related to social computing data and systems Research on algorithms for personalization within a social computing context, including recommender systems and social matchmaking systems Research on crowdsourcing, collaborative content creation, productive social gaming, and other mechanisms and applications of aggregating individual contributions for a collective goal Research studying communications patterns in online communication forums Ethnographic case studies of social computing in situ Algorithms for extracting knowledge from social computing usage data and artifacts ACM Instructions to Authors can be found at www.acm.org/publications/submissions.  Associate Editors Michael Bernstein, Stanford University, USA Peter Brusilovsky, University of Pittsburgh, USA Meeyoung Cha, KAIST, Korea Yiling Chen, Harvard University, USA Ed Chi, Google, USA Kevin Crowston, Syracuse University, USA Laura Dabbish, Carnegie Mellon University, USA Steven Dow, University of California, San Diego, USA Boi Faltings, École Polytechnique Fédérale de Lausanne, Switzerland Rosta Farzan, University of Pittsburgh, USA Sue Fussell, Cornell University, USA Liz Gerber, Northwestern University, USA Arpita Ghosh, Cornell University, USA Ramesh Jain, University of California, Irvine, USA Karrie Karahalios, University of Illinois, USA David Karger, MIT, USA Emre Kiciman, Microsoft Research, USA Joe Konstan, University of Minnesota, USA Cliff Lampe, University of Michigan, USA Huan Liu, Arizona State University, USA David Millen, IBM Research, Brazil Marc Smith, Connected Action, consulting, USA Daniel Zeng, University of Arizona, USA