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Updated NSF funding opportunity in Big Data program

From the NSF: 

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 15-1), is effective for proposals submitted, or due, on or after December 26, 2014. The PAPPG is consistent with, and, implements the new Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (Uniform Guidance) (2 CFR § 200). Please be advised that the guidelines contained in NSF 15-1 apply to proposals submitted in response to this funding opportunity.

The full proposal deadline date is May 20, 2015.  Read the rest of this entry »

21st Industrial Mathematical & Statistical Modeling Workshop


The 21st Industrial Mathematical & Statistical Modeling (IMSM) Workshop for Graduate Students will take place at North Carolina State University, 13-22 July 2015.  The workshop is sponsored by the Statistical and Applied Mathematical Science Institute (SAMSI) together with the Center for Research in Scientific Computation (CRSC) and the Department of Mathematics at North Carolina State University.

The IMSM workshop exposes graduate students in mathematics, engineering, and statistics to exciting real-world problems from industry and government. The workshop provides students with experience in a research team environment and exposure to possible career opportunities. On the first day, a Software Carpentry boot camp  will bring students up-to-date on their programming skills in Python/Matlab and R, and introduce them to version control systems and software repositories. Read the rest of this entry »

SIAM Unwrapped February 2015

Unwrapped_icon_finalNews & announcements for the SIAM membership community

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Dear SIAM members,

One of SIAM’s largest conferences is just around the corner. Are you all set to attend?

Read details on what to expect at the SIAM Conference on Computational Science and Engineering (CSE15) in this issue, among other updates.

We hope to see you in Salt Lake City in March! Read the rest of this entry »

Medical and industrial improvements through algorithms

During the last two decades, fast algorithms have brought a variety of large-scale physical and biophysical modeling tasks within practical reach. This is particularly true of integral equation approaches to electromagnetics, acoustics, gravitation, elasticity, and fluid dynamics. The practical application of these methods, however, requires analytic representations that lead to well-conditioned linear systems, quadrature methods that permit the accurate evaluation of boundary integrals with singular kernels, and techniques for a posteriori error estimation that permit robust mesh refinement. At the 2014 SIAM Annual Meeting Leslie Greengard of the Simons Foundation and Courant Institute of Mathematical Sciences, New York University, gave an overview of recent progress in these areas with a particular emphasis on wave scattering problems in complex geometry via The John von Neumann Lecture. View the video for an overview of his talk:


View the full presentation.


Attend the career fair at the SIAM CS&E conference!

Are you attending the SIAM Conference on Computational Science and Engineering (CSE15) in Salt Lake City in March? Then you may be interested in the CSE15 career fair sessions being held there on Saturday, March 14.

If you plan to attend the fair, please submit your resume if possible, so it can be provided in advance to the participating employers.

The career fair is an interactive event at which you can speak with employers about working in various industries. It is a great opportunity for you to meet government and industry representatives to discuss what they look for in candidates and what each employer may have to offer. The event is held primarily for graduate students and recent graduates, but job-seekers of all levels are encouraged to attend.

Read the rest of this entry »

SIAM Unwrapped January 2015

Unwrapped_icon_finalNews & announcements for the SIAM membership community

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Dear SIAM members,

Here’s wishing you a happy and prosperous New Year 2015!

View our 2015 brochure to review the new and exciting things to expect from SIAM this year.

Also visit our conference calendar to view a list of 2015 and future meetings. As always, you can follow us on Twitter or Google Plus and like us on Facebook to stay abreast of new events, activities and updates. SIAM has a new LinkedIn page! Be sure to follow us and participate in the conversation. Read the rest of this entry »

SIAM Welcomes its newest student chapters

The number of SIAM chapters continues to grow. Welcome to our newest chapters:

Michigan Technical University

Saint Mary’s College of Maryland

University of Akron

University of Alabama at Birmingham

University of Hamburg, Germany

University of Kentucky

University of Pretoria, South Africa Read the rest of this entry »

SIAM welcomes new activity group officers

SIAM is pleased to announce new officers for several activity groups. Officers began their terms on January 1 and will serve 2-year terms through the end of 2016.

SIAG on Analysis of Partial Differential Equations (SIAG/APDE) – Chair: Helena Nussenzveig Lopes; Vice Chair: Dejan Slepcev; Program Director: Lia Bronsard; Secretary: Becca Thomases

SIAG on Computational Science and Engineering (SIAG/CSE) – Chair: Lois Curfman McInnes; Vice Chair: Hans De Sterck; Program Director: Jan Hesthaven; Secretary: Suzanne Shontz

SIAG on Financial Mathematics and Engineering (SIAG/FME) – Chair: Michael Ludkovski; Vice Chair: Sebastian Jaimungal; Program Director: Tim Leung; Secretary: Alex Schied

SIAG on Geosciences (SIAG/GS) – Chair: Carol Woodward; Vice Chair: Juan Restrepo; Program Director: Jorn Behrens; Secretary: Jodi Mead

SIAG on Life Sciences (SIAG/LS) – Chair: Richard Bertram; Vice Chair: Sue Ann Campbell; Program Director: Samuel Isaacson; Secretary: Andrea Barreiro

SIAG on Nonlinear Waves and Coherent Structures (SIAG/NWCS) – Chair: Thomas Bridges; Vice Chair: Robert Pego; Program Director: Annalisa Calini; Secretary: Jon Wilkening

SIAG on Uncertainty Quantification (SIAG/UQ) – Chair: Andrew Stuart; Vice Chair: Serge Guillas; Program Director: Clayton Webster; Secretary: Youssef Marzouk

SIAG on Education – Chair: Peter Turner; Vice-Chair: Jeff Humpherys; Secretary:  Ben Galluzzo; Program Director: Padhu Seshaiyer

DARPA issues solicitation for Fast Lightweight Autonomy program

From DARPA: 

DARPA aims to give small unmanned aerial vehicles advanced perception and autonomy to rapidly search buildings or other cluttered environments without teleoperation.

Military teams patrolling dangerous urban environments overseas and rescue teams responding to disasters such as earthquakes or floods currently rely on remotely piloted unmanned aerial vehicles to provide a bird’s-eye view of the situation and spot threats that can’t be seen from the ground. But to know what’s going on inside an unstable building or a threatening indoor space often requires physical entry, which can put troops or civilian response teams in danger.

To address these challenges, DARPA issued a Broad Agency Announcement solicitation today for the Fast Lightweight Autonomy (FLA) program. FLA focuses on creating a new class of algorithms to enable small, unmanned aerial vehicles to quickly navigate a labyrinth of rooms, stairways and corridors or other obstacle-filled environments without a remote pilot. The solicitation is available here.

The program aims to develop and demonstrate autonomous UAVs small enough to fit through an open window and able to fly at speeds up to 20 meters per second (45 miles per hour)—while navigating within complex indoor spaces independent of communication with outside operators or sensors and without reliance on GPS waypoints.

Read full details about the UAVS envisioned for troops in urban missions.

The complete solicitation and other details are here.

Decision cascades in social networks

nugget_iconMath can shed light on spread of behaviors in online interactions

Philadelphia-PA—How do people in a social network behave? How are opinions, decisions and behaviors of individuals influenced by their online networks? Can the application of math help answer these questions?

“The way in which information, decisions, and behaviors spread through a network is a fundamental social phenomenon, and the past several decades have shown that it is a phenomenon that can be studied using rich mathematical models,” says Flavio Chierichetti who co-authored a paper that studies online behavior, published this month in the SIAM Journal on Computing. “At one level, these processes have elements in common with biological contagion, which is also inherently based on a mechanism of spread through a network. But at another level, the processes are different — the spread of behavior is based on individual decision-making, and as such, can exhibit richer and more complex behavior than the more direct mechanics of biological contagion.”

Along with co-authors Jon Kleinberg and Alessandro Panconesi, Chierichetti studies how people in social networks are often influenced by each other’s decisions, resulting in a run of behaviors in which their choices become highly correlated, thus causing a cascade of decisions. The authors focus on the problem of ordering in a cascade with the end goal of maximizing the expected number of “favorable” decisions. “Often, cascading behavior in a social network is guided by an entity that wants to achieve a certain outcome,” says Alessandro Panconesi. “For example, a company might be trying to guide the adoption of a product by word-of-mouth effects, or a political movement might be trying to guide the success of its message in a population.” Read the rest of this entry »