an16
Classifying Roles of People in Networks

Classifying Roles of People in Networks

In a talk at AN16, Joel Acevedo-Aviles described the process of predicting the role of people in a network based on two techniques.

Mathematical Modeling Facilitates Pharmaceutical Development

Mathematical Modeling Facilitates Pharmaceutical Development

Sandy Allerheiligen of Merck Research Laboratories gave an invited talk about math modeling and pharmaceutical...

Fluid Mechanics of Plankton

Fluid Mechanics of Plankton

In an invited talk at AN16, Roman Stocker described quantitative models to demonstrate turbulence’s unexpected...

Simulation Technologies Guide Gas Turbine Design

Simulation Technologies Guide Gas Turbine Design

At a minisymposium on scientific computing and big data at AN16, Shashank Yellapantula discussed scientific computing in gas turbine engine design.

A Discussion of Gender Diversity in STEM

A Discussion of Gender Diversity in STEM

 A panel of female mathematicians at the SIAM Annual Meeting shared their personal difficulties and triumphs as...

Advanced Image Analysis Combats Neurodegenerative Disease

Advanced Image Analysis Combats Neurodegenerative Disease

At the SIAM Annual Meeting, Steven Finkbeiner explains his use of image analysis and advanced technology to...

Image-Guided Neurosurgery: Computation of Brain Deformations

Image-Guided Neurosurgery: Computation of Brain Deformations

Adam Wittek gave a talk titled “Computation of Brain Deformations for Image-Guided Neurosurgery" at the SIAM Annual Meeting.

Sentiment Analysis Through Twitter Opinion Polling

Sentiment Analysis Through Twitter Opinion Polling

Emily Cody talked about the opportunities and challenges of using Twitter for polling over traditional surveys at...

Mathematically Understanding the MERS Epidemic

Mathematically Understanding the MERS Epidemic

At AN16, Vittoria Colizza uses computational models to study the Middle East respiratory syndrome...

How is Big Data Changing Social Science?

How is Big Data Changing Social Science?

In his invited talk at the SIAM Annual Meeting, Matthew Salganik of Princeton University discussed social science in the age of big data.

Playing with Toys at the SIAM Annual Meeting

Playing with Toys at the SIAM Annual Meeting

Tadashi Tokieda presented a community lecture, complete with table-top demos, about the fascinating science behind...

Data Science in the Liberal Arts

Data Science in the Liberal Arts

At the SIAM Annual Meeting, Karen Saxe discussed the importance of data science in a liberal arts curriculum.

Lisa J. Fauci Delivers AWM-SIAM Sonia Kovalevsky Lecture

Lisa J. Fauci Delivers AWM-SIAM Sonia Kovalevsky Lecture

SIAM presented Lisa J. Fauci of Tulane University with the 2016 AWM-SIAM Sonia Kovalevsky Lecture prize at the SIAM Annual Meeting.

Donald E. Knuth Awarded SIAM’s Highest Honor, Delivers the John von Neumann Lecture

Donald E. Knuth Awarded SIAM’s Highest Honor, Delivers the John von Neumann Lecture

SIAM awards the 2016 John von Neumann Lecture prize to Donald E. Knuth for his transformative contributions to...

Knuth Gives Satisfaction in SIAM von Neumann Lecture

Knuth Gives Satisfaction in SIAM von Neumann Lecture

Donald Knuth gave the John von Neumann lecture at the 2016 SIAM Annual Meeting in Boston.

AN16 Thank You & SIAG Update

AN16 Thank You & SIAG Update

The SIAM Annual Meeting, 2016 in Boston, was an unqualified success. Thanks to all of those who made it a success! 

Ioannis G. Kevrekidis Receives W.T. and Idalia Reid Prize

Ioannis G. Kevrekidis Receives W.T. and Idalia Reid Prize

Ioannis G. Kevrekidis of Princeton University is the recipient of the 2016 W. T. and Idalia Reid Prize.

Modeling Opinion Dynamics in Social Networks

Modeling Opinion Dynamics in Social Networks

At the SIAM Annual Meeting, Manuel Gomez Rodriguez presented his framework for modeling opinions in social networks.

Robotic Microscopy to Track Neurodegeneration and Drug Potency

Robotic Microscopy to Track Neurodegeneration and Drug Potency

The authors describe a new form of robotic microscopy that can track cells over unusually long lengths of time to observe neurodegeneration.

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