The Meeting begins on Monday, January 15, 2018 at 10:00 am, Room 407 Jadwin Hall.

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*Convection in Nature*

** February 8-10, 2018**

**Program Organizers**: Daniel Lecoanet (PCTS) & Nadir Jeevanjee (Geosciences)

Convection occurs throughout nature: in our atmosphere and oceans, in planetary cores, in stars, and in the atmospheres of other planets. This meeting will bring together experts on convection in different fields, to discuss the recent advances and major questions in each field. In each case, different physical effects influence the convection, such as the presence of moisture, adjacent stably stratified fluid, rotation, or magnetic fields. The goal of the meeting is to identify similarities in the convection in these different systems, and leverage the theoretical and observational results in a given field to address outstanding questions in other fields.** **

**Program Information**

Registration has reached full capacity and is now closed.

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*Mechanics in Morphogenesis*

** February 21-23, 2018**

**Program Organizers: **Andrej Košmrlj (Princeton, MAE) Celeste Nelson, Princeton, CBE) Stas Shvartsman (Princeton, CBE) Lisa Manning (Syracuse, Physics)

"Morphological shapes of biological tissues and structures have inspired a plethora of scientists throughout history and in 2017 we are celebrating the 100-th anniversary of D’Arcy Wentworth Thompson’s influential book titled “On Growth and Form”. Many recent activities have focused on understanding how biology has devised elaborate strategies for regulating pattern formation and mechanical forces in both space and time. Morphogenesis has also inspired scientists to design shape-programmable stimuli-responsive matter. This workshop aims at bringing together researchers from diverse backgrounds to forge new interdisciplinary connections."

This meeting will include contributed talks and a poster session.

Registration has reached full capacity and is now closed.

The Meeting will be Live Streamed and can be viewed here.

Program Information & Agenda

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*Elastic** Turbulence*

**April 9-11, 2018**

**Program Organizers: **Anna Frishman (PCTS), Howard Stone (PCTS,PU), Paulo Arratia (UPenn), Victor Steinberg (Weizmann)

This workshop will focus on Elastic Turbulence, a chaotic, strongly fluctuating regime of a fluid flow, which, amazingly, occurs at low Reynolds number (Re). This phenomenon, observed in polymer solutions, is driven by the strong coupling between the fluid flow and its elasticity at large Weissenberg number (Wi), defined as the product of the polymer relaxation time and the fluid shear rate. The statistical features of the flow in this regime have been suggested to be universal, insensitive to the details of the viscoelastic fluid. As such, it may even be relevant as a source of chaos in flows of living organisms on microscopic scales, if the latter exhibit elastic stresses.

The aim of the workshop will be to bring together theoreticians and experimentalists to take stock of the field, and determine what are the outstanding problems and open questions. The workshop would also explore the connection between Elastic Turbulence and higher Re, high Wi number flows, such as “elasto-inertial turbulence” at moderate Re and the phenomenon of drag reduction at high Re.

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**Regular Patterns in Biology: Causes and Consequences**

April 18-20, 2018

Corina Tarnita, Rob Pringle, Simon Levin

Regular spatial patterns are common in natural systems and convey important information about those systems’ structure and function. Accordingly, pattern formation has long been a focus of research in nearly every field of biology (and science more generally), at levels of organization ranging from cells and organisms to entire landscapes. Although decades of theoretical investigations have uncovered some possible mechanisms of pattern formation, recent theoretical and empirical developments have revealed new possibilities and reinvigorated debates, making this a crucial time for a renewed conversation of patterns within and across fields. With this workshop, we seek to bring together experts, both theoreticians and empiricists, to discuss the state-of-the-art of and future directions for the study of pattern formation and its consequences across fields.

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**Plasma Physics Common to Astrophysical and Laboratory Plasmas**

April 23-26, 2018

This workshop is sponsored and organized by PPPL, with support from PCTS.

**Contact Angela Powell with any questions: apowell@pppl.gov**

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**Statistical Mechanics Out of Equilibrium**** **

**April 30–May 2, 2018**

**Program Organizers: Shivaji Sondhi (Princeton), Raghu Mahajan (Stanford-Princeton), Rahul Nandkishore (CU Boulder), Siddharth Parameswaran (Irvine-Oxford) **

**
**Recent years have witnessed dramatic advances in our understanding of non-equilibrium statistical physics. Breakthroughs have occurred in condensed matter (many body localization and thermalization), high energy physics (scrambling by black-holes and sharp bounds on quantum chaos), quantum information (dynamics of entanglement) and beyond. This conference will bring together experts from diverse subfields working on non-equilibrium statistical physics, to share ideas, establish a common language, and chart a path forward for the field.

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**Bridging Mathematical Optimization, Information Theory, and Data Science**** **

**May 14-16, 2018**

**Program Organizers: **Yuxin Chen (EE), Mengdi Wang (ORFE)

Recent years have witnessed a flurry of exciting new developments and activities in the intersection of optimization theory, information theory, and mathematical data science. For instance, optimization theory inspires algorithmic breakthroughs in machine learning and reinforcement learning; information theory offers powerful tools for understanding the fundamental limits in numerous data science applications; and the growing popularity of data science and statistical learning in turn provides new data-driven perspectives to optimization paradigms and enriches the toolbox of information theory.

The goal of this workshop is to bring together participants from multiple communities including mathematical optimization, information theory, statistics, and machine learning in order to conduct in-depth discussion and motivate interdisciplinary collaboration.

This workshop is supported in part by Princeton Center for Statistics and Machine Learning (CSML); Department of Electrical Engineering; and Department of Operations Research and Financial Engineering (ORFE).

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