The Michigan Institute for Computational Discovery & Engineering 2017 Catalyst Grants Informational Session November 29, 2017
What is MICDE? The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering. Over 130 affiliated faculty from 30 different departments 2
What is MICDE? The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering. Graduate Certificate in CDE Ph.D. in Scientific Computing Over 130 affiliated faculty from 30 different departments 3
What is MICDE? The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering. Graduate Certificate in CDE Ph.D. in Scientific Computing Seminar series, Symposia, Faculty Workshops 4
What is MICDE? The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering. Graduate Certificate in CDE Ph.D. in Scientific Computing Outreach and Industrial Engagement Seminar series, Symposia, Faculty Workshops 5
What is MICDE? The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering. Graduate Certificate in CDE Ph.D. in Scientific Computing Outreach and Industrial Engagement Seminar series, Symposia, Faculty Workshops Three Research Centers 6
MICDE is a unit of Advance Research Computing
Successful Case: NSF MRI September 2015 Center for Data-Driven Computational Physics (A result from 2 faculty workshops in summer 2014 ) PI Karthik Duraisamy (Aero) $3.5M NSF Major Research Instrumentation (MRI): ConFlux Climate systems interactions Cosmology Computational materials physics Turbulence in fluid flow Subject-specific blood flow modeling 8
Successful Case: NSF DIBBs September 2015 Center for Network and Storage-Enabled Collaborative Computational Sciences PI Shawn McKee (Physics) $5M NSF Data Infrastructure Building Blocks (DIBBs): MI-OSiRIS Data-driven analysis of genetic and molecular disease mechanisms Simulated ocean floor Biomedical modeling Cosmology 9
Successful Case: NSF CRISP September 2016 Interdependencies in Community Resilience: A Simulation Framework PIs Sherif El Tawil (CEE) $2.2M NSF Critical Resilient Interdependent Infrastructure and Processes (CRISP) MICDE provided a letter detailing institutional support: educational programs, research, ARC CSCAR is sharing a programmer (anchored to U-M/ sustainability of projects) 10
Description High impact, innovative research projects in computational science à potential to attract external funding Combine elements of mathematics, computer science, and cyberinfrastructure 11
Catalyst Grants: Research projects in any emerging area 12
Last Year Successful Proposals 1. From Spiking Patterns to Memory Formation: Tools for Analysis and Modeling of Network-wide Cognitive Dynamics of the Brain PIs Sara Aton (Developmental, Cellular and Molecular Biology) and Michal Zochowski (Physics) Collaborative research between the Zochowski and Aton labs has established a novel framework, built on more rapidly estimating network functional connectivity, to characterize the dynamics of memory encoding and storage 13
Last Year Successful Proposals 2. Computational Energy Systems PIs Pascal Van Hentenryck, Eunshin Byon, Ruiwei Jiang and Jon Lee (IOE), and Johanna Mathieu (EECS) The research team aims to develop new algorithms for the U.S. electrical power grid that integrate renewable energy sources, electrification of transportation systems, the increasing frequency of extreme weather events, and other emerging contingencies 14
Last Year Successful Proposals 3. Black Swans, Dragon Kings and the Science of Rare Events: Problems for the Exascale Era and Beyond PI Venkat Raman (Aerospace Engineering) in collaboration with Ramanan Sankaran (Oak Ridge National Laboratory) and Jacqueline Chen (Sandia National Laboratory) The goal here is to develop a generalized exascale workflow that allows applications to be invoked as modules in the rare event search algorithm. 15
Last Year Successful Proposals 4. Integral Equation Based Methods for Scientific Computing PI Robert Krasny (Mathematics) This project develops alternative methods in which the differential equation is first converted into an integral equation The research team believes that integral equation based methods are potentially superior, and [ ] aims to demonstrate this in regimes that are challenging for traditional methods. 16
Review Criteria 1. Work must be novel and not an incremental extension of existing work 2. Likelihood of success 3. Plan for specific external funding agencies or foundations to be approached as an outcome of the project 4. For full proposals: a plan to leverage the infrastructure of Advanced Research Computing (ARC) at the University of Michigan for external funding 17
Budget and Justification Up to $100,000 Post-doc and graduate students salary ~80% May include travel expenses, ARC resources No indirect cost or cost-sharing 18
How to Apply Who PI/co-PI must be an University of Michigan faculty Collaborative proposals are encouraged Pre-proposal 2-pages project description including references Email to micde-grants@umich.edu with subject MICDE Catalyst Grant Pre-Proposal by December 15, 2017 at 5:00 p.m. E.T. Results announced on January 19, 2018 19
How to Apply Full proposal by invitation 6-pages project description References 2-page NSF or NIH style CV for PI and co-pis A detailed budget and budget justification template will be provided Email to micde-grants@umich.edu with subject MICDE Catalyst Grant Full Proposal Deadline will be February 16, 2018 by 5:00 p.m. E.T. Results announced in March 2018 Project may begin on or after May 1, 2018 20
Review Process 3-4 U-M members per review panel PIs may suggest 1-2 expert reviewer(s) Review panels are provided a template with evaluation categories All proposals will get feedback, regardless of outcome Will aim to use same pool of reviewers for preliminary and full proposal evaluation 21
FAQ 1. Should the proposal include mathematics, computer science, and/or cyberinfrastructure collaborators? Such collaborations are by no means required, but encouraged. Cyberinfrastructure collaborations could come by engaging closely with ARC-TS or CSCAR. 2. Must projects have new developments in computational methods, or are innovative applications of existing computational methods also acceptable? Innovative applications of existing computational methods are also sought. 3. Can a proposal have a single PI? Yes. 22
FAQ 4. Should PIs/co-PIs be MICDE affiliated faculty? No, affiliation to MICDE is not required. 5. Will other research areas not listed be considered? Yes! Every research project with a relevant computational component will be considered. 6. If my project is chosen, is there a deadline for the start of the project? All projects should start by September 1, 2018 to give PIs a chance to recruit students/post-docs. 23
FAQ 7. Does the $100,000 have to be used up in 1 year, or could it be extended? Extensions will be considered but PIs are strongly encouraged to have a plan to use all the money in 1 year. 8. Can any funds be used for lab analyses? Data-analyses is ok, but at this time in-house experiments cannot be funded through this grant. 9. Does MICDE want software to be an output of the project? No, software is not expected as an output of the project, but it could be a component of the project. 24
FAQ 10. What are the deliverables? We will require teams to meet at the end of the project to share results, and discuss what worked/didn t work in the process. More Questions? 25
More information For more information please visit micde.umich.edu/grants/catalyst-grants/ 26
More information Or contact: Krishna Garikipati (ME) Director krishna@umich.edu Annette Ostling (EEB) Associate Director aostling@umich.edu Siqian Shen (IOE) Associate Director siqian@umich.edu Karthik Duraisamy (Aero) Associate Director kdur@umich.edu Thank you Mariana Carrasco-Teja Assistant Director mcteja@umich.edu 27