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Birds of a Feather Sessions

Birds of a Feather sessions are informal gatherings of like-minded individuals who wish to discuss topics without a pre-planned agenda. Join a Birds of a Feather session to meet other members of the community with similar interests.  No registration required.

Topics

Funding and Leveraging HPC Resources—Northwestern Room A
Claude-Andre Faucher-Giguere, Assistant Professor, Physics and Astronomy, Weinberg College of Arts and Sciences
William Kath, Professor of Engineering Sciences and Applied Mathematics and Neurobiology
Minoli Perera, Associate Professor of Pharmacology

Description: High-performance computational science and engineering today make use of a range of resources, ranging from university computer clusters like Quest to national supercomputing facilities. During this session, the panel and the audience will discuss their experience (and tips for) securing funding for local computing resources and writing winning proposals to use external facilities. For example, the panel will aim to provide insight on the proposal process for several of the main national facilities (including NSF's XSEDE and Blue Waters, NASA High-End Computing, and DOE Leadership Computing) and on which resources are most appropriate for different types of problems. The audience will be encouraged to contribute to the discussion, for example regarding the role of new emerging paradigms such as commercial cloud-based computing services.

Opportunities/Challenges in Bioinformatics Pipelines—Northwestern Room B
Erik Andersen, Assistant Professor, Molecular Biosciences, Weinberg College of Arts and Sciences

Elizabeth Bartom, Assistant Professor, Biochemistry and Molecular Genetics; Feinberg School of Medicine
Matthew Schipma, Research Assistant Professor of Biochemistry and Molecular Genetics; Feinberg School of Medicine

Description: Genomics analyses come in a variety of different flavors, including the study of modifications, structures, and variation of DNA and RNA. We will discuss the emerging opportunities and challenges associated with data storage and compute power in genomics. Beyond these topics, we will address the NIH-mandated goals of rigor and reproducibility as they apply to the topic.

Computational Evaluation and Prediction of Social Science Behaviors—Lake Room
Nicole Moore, Director, Office of Research Development 
Rebecca McNaughton, Assistant Director, Office of Research Development
Ian Horswill, Associate Professor, Electrical Engineering and Computer Science; Robert R. McCormick School of Engineering and Applied Science 
Paul Reber, Professor, Department of Psychology; Weinberg College of Arts and Sciences
Amanda Stathopoulos, Assistant Professor, Dept. of Civil and Environmental Engineering; 
Robert R. McCormick School of Engineering and Applied Science

Description: Computational approaches to social and behavioral simulation is a current topic of interest to several funding agencies with respect to the spread and evolution of online information, models of behavioral phenomena, and the development and validation of new tools and methods for harnessing virtual or alternate reality and massively distributed platforms.  This session will explore the multiple potential variables, i.e. rules of human psychology and group social behavior, and approaches that could lead to scalable algorithms for social simulation. 

Educational Resources for Computational Skills & Research - Arch Room
Sarah D'Angelo, Ph.D. student, Technology and Social Behavior
Daniel Cook, Ph.D. student, Interdisciplinary Program in Biological Sciences
Joao Moreira, 
PhD student, Department of Chemical and Biological Engineering in McCormick
Denise Alberta Tarnowski, 
PhD student, Microbiology-Immunology Department (Driskill Graduate Program) in Feinberg School of Medicine

Description: There is a pressing demand for programming and computing skills across all fields due to the growth of data acquisition and creation. Many grad students and faculty are finding that they need these skills for their graduate course work, research and future job opportunities. We may not always be prepared to implement computational component in our research areas. The discussion in this session will focus on how graduate students can develop the digital skills i.e. programming, data analysis, using computing resources, visualization etc. In addition, we will discuss the resources we use to learn these skills and organizing study groups to help each other in gaining computational experience.

Last Updated: 11 April 2017

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