Register online here

With the increasing availability of massive data about patterns generated by the interactions of the components of complex systems, the ability to analyze large-scale networks and their behavior has become critically important. In practice often interactions take place not just between pairs of components, as in the common graph model, but rather in the context of their groups. Hypergraphs, a generalization of graphs, has proven to be a natural way to model such phenomena.

The goal of the workshop is to provide the participants with an introduction to the current trends in hypergraph theory and applications as well as foster research on hypergraphs, especially in the areas of their applications in economics and management, computer implementation of novel methods of analysis of hypergraphs, and development of reference hypergraphs that can serve as test beds for the created algorithms.

The workshop is mainly aimed at PhD students, but other participants are also welcomed to participate. The event is organized in two streams. During the morning stream, tutorial sessions, introducing the participants to hypergraph modeling are going to be given. During the afternoon stream it is assumed that interested students will work in subgroups with senior faculty supervisors on research topics related to hypergraph modeling. The initial results of these group study sessions along with outlooks for future research and collaboration will be presented and summarized during the last day of the workshop.

Software installation instructions

Organizers 

	Bogumil Kaminski is the Head of Decision Analysis and Support Unit at Warsaw School of Economics. He is a member of the Management Committee of European Social Simulation Association (ESSA), and Vice President of Institute for Operations Research and Management Sciences (INFORMS) Polish Chapter. His field of expertise is operations research, with special focus on industrial applications of forecasting, optimization and simulation. He has 15 years of experience in teaching data science related topics at undergraduate, graduate, and MBA courses. He has been involved in development of core Julia language and its packages related to data science workflow. He is also one of the top answerers all time for Julia questions on StackOverflow.
	Pawel Pralat (http://www.math.ryerson.ca/pralat/) is an Associate Professor at Ryerson University and the Director of Fields-CQAM Lab on Computational Methods in Industrial Mathematics at The Fields Institute for Research in Mathematical Sciences. His main research interests are in modelling and mining complex networks. Since 2006, he has written 150+ papers with 100+ collaborators. He is trained both in (theoretical and applied) computer science as well as mathematics (M.Eng. and M.A.Sc. in CS, Ph.D. in Mathematics and CS), has strong programming and applied research skills, gained through experience in collaboration with the private sector (such as Microsoft Research, Google Research, NXM, Motorola, The Globe and Mail, BlackBerry, Alcatel-Lucent, Environics Analytics) as well as the Government of Canada.
	Przemyslaw Szufel is an Assistant Professor in Decision Support and Analysis Unit at Warsaw School of Economics and an Adjunct Professor at Cybersecurity Research Lab, Ryerson University. He is also a member of the Management Committee of European Social Simulation Association (ESSA). His current research focuses on methods for execution of large-scale simulations for numerical experiments and optimization. He is working on asynchronous algorithms for parallel execution of large-scale simulation in the cloud and distributed computational environments. He is an author or a co-author of several Open Source tools for high performance and numerical simulation (such as KissCluster, D MASON, Isislab SOF, SilverDecisions, PyCX), and actively participates in their development. He is also a co-author of various algorithms for distributed simulation models (such as AKG, AOCBA).

Sponsors

Ryerson Faculty of Science

The Polish National Agency For Academic Exchange (via SGH Warsaw School of Economics)