Professor Thomas J. Marlowe is Program Advisor for Computer Science, has been a member of the Department of Mathematics and Computer Science at Seton Hall University for over 30 years, and have taught a wide variety of courses in both disciplines. Professor Marlowe enjoys working with students and with professional colleagues-- almost all his research is collaborative. His professional interests include in mathematics, abstract algebra and discrete mathematics; in computer science, programming languages, real-time systems, and software engineering, and in information science, collaboration and knowledge management. The connection between graphs and algebraic structures is a recurrent theme.

Professor Marlowe has Ph.D. in Computer Science, from Rutgers, The State University, and a Ph.D. in Mathematics from Rutgers, The State University. Professor Marlowe has many Publications and Academic Distinctions. He has over 70 publications in refereed conferences and journals in mathematics, computer science and information science. Some of the more recent and more significant include:

• T.J. Marlowe, N. Jastroch, V. Kirova, M. Mohtashami, “A Classification of Collaborative Knowledge,” Special Session on Collaborative Knowledge Management, Workshop on Knowledge Generation, Communication and Management (KGCM 2010), to appear, June 2010.
• T. J. Marlowe, V. Kirova, “High-level Component Interfaces for Collaborative Development: A Proposal”, Journal of Systemics, Cybernetics, and Informatics, 7 (6), pages 1-6, 2009.
• Rountev, S. Kagan, T. J. Marlowe, “Interprocedural Dataflow Analysis in the Presence of Large Libraries”, Proceedings of CC 2006, 216, Lecture Notes in Computer Science 3923, 2006.
• S. P. Masticola, T. J. Marlowe, B. G. Ryder, "Multisource Data Flow Problems'', ACM Transactions on Programming Languages and Systems, 17 (5), 777 -803, September 1995.
• D. Stoyenko, T. J. Marlowe, "Polynomial-Time Program Transformations and Schedulability Analysis of Parallel Real-time Programs with Restricted Resource Contention'', Journal of Real-Time Systems, 4 (4), 1992.
• T. J. Marlowe, B. G. Ryder, "Properties of data flow frameworks: A unified model'', Acta Informatica, 28 (2), 121 -164, 1991.

 
Professor Marlowe is member of more than 10 Ph. D. thesis and 5 M.S. thesis committees, member of more than 20 conference program committees, and reviewer for numerous conferences, journals, and grants. He is the founder of an ongoing professional conference, and co-founder of a new workshop on collaboration.
 
Dr. Susu Nousala is currently researcher in sustainable design at Aalto University (Finland), and Research Fellow at the (Australasian Centre for the Governance and Management of Urban Transport) Faculty of Architecture, Building and Planning, University of Melbourne. Dr. Nousala was Research Fellow at SIAL (Spatial Information Architecture Lab), RMIT Design and Social Context, School of Architecture and Design, RMIT University.
 
Her areas of research interest include embedded practice, tacit knowledge networks (complex adaptive systems) understanding the value and transference of tacit knowledge in socio-technical networks and complex systems. She is also involved in the development and coordination of a research group focusing on the theory, ontology and management of organizational knowledge. To date she is the author and co-author of over 20 refereed journal and conference papers, as well as book chapters. She has been successful in managing and securing funding for several National and International grants and projects.
 
She earned her Ph. D. at the Aerospace Mechanical & Manufacturing Engineering, RMIT University.
 

Work in complex domains with diverse stakeholders requires more than knowledge and expertise learned from lectures, case studies or even projects. Openness, teamwork and spontaneity are needed to allow community building and effective collaboration, and to take advantage of serendipitous emergent connections. Through a series of exercises, discussions and thought experiments, we explore building blocks and provide an entry point for a road map for creating tomorrow’s professionals and communities of knowledge, learning and practice.

For those with background in these techniques, we will suggest new domains of applicability and viewpoints. For novices in this area, we provide guidelines for including this approach to being open to spontaneity, community formation and emergence.