Program

The Earth’s climate is dictated by atmospheric and oceanic dynamics, spanning over a wide range of temporal and spatial scales that undergo multi-scale interactions resulting in energy transfers across a multitude of scales. The energy transfers across these multi-scale regimes are key to the understanding of the energy cycle, but their quantification remains poorly constrained. Physical processes such as turbulent mixing and instabilities are difficult to observe or resolve in the numerical models and are often parametrized. Consequently, the question of energy-consistent closure in ocean and climate models, which heavily rely on parametrizations, remains open and challenging to address. To address these questions, a combination of analytical theories, numerical models, and observational measurements is necessary to advance our understanding of oceanic and atmospheric dynamics.The meeting spans two weeks addressing multi-scale and multi-physics topics in geophysical fluid dynamics inc...

Understanding phenotypic variation in terms of the underlying genetic variation is one of the central problems in biological evolution. During the last decade, valuable insights into the genetic architecture of phenotypic traits have been obtained and it is found that many phenotypic traits ranging from crop yield and human height to complex diseases are polygenic, that is, they are influenced by a large number of genetic variants. Despite this evidence, evolutionary biology continues to be dominated by two extreme views of adaptive dynamics where adaptation occurs either via large changes at a few genetic loci or infinitesimal changes at a very large number of them. The aim of this program is to integrate these two seemingly disparate ideas into a single framework and extend their ambit to include other modes of adaptation, and address how one can describe other scenarios quantitatively and relate them to empirical data.The program will feature pedagogical lectures, research seminars ...

Data assimilation is a mathematical approach employed by leading operational weather forecast centers worldwide. Its primary purpose is to estimate the most accurate atmospheric state and its associated uncertainties by integrating observations and short-range forecasts. Data assimilation methodologies extend beyond weather prediction; they play a crucial role in monitoring and comprehending climate and its variability through reanalysis of historical data. This versatile tool is instrumental in investigating processes within the domains of Land, Atmosphere, and Oceans.The field of Data Assimilation is unfortunately constrained by a scarcity of well-trained scientists and researchers familiar with its theoretical foundations and practical applications. To address this gap, we are organizing a two-week workshop with a specific focus. This workshop aims to provide comprehensive training by introducing fundamental data assimilation theory and facilitating hands-on sessions, particularly f...

The Standard Model (SM) of particle physics has been very successful in numerous tests over the past several decades. However, the SM can not be the ultimate theory to explain all the fundamental interactions in the Universe because of critical gaps. The neutrino sector is one of the few places where the physics beyond standard has been confirmed through the observation of neutrino oscillations, a phenomenon which cannot occur with the massless neutrinos predicted by the standard model. Neutrinos are elementary particles with spin ½, zero electric charge, and tiny but non-zero masses. They come in three distinct flavors and can oscillate among themselves as they propagate. Since they only feel the weak force, their cross section for interacting with matter is extremely small. In collider experiments, they can only be identified as “missing energy.” Consequently, large specialized experiments had to be built for studying neutrinos. These neutrino experiments have evolved from single-pur...

The summer school is intended for women students studying in first year B.Sc./B.E./B.Tech. or equivalent degree and having Mathematics as one of the major subjects/courses, during the academic year 2017-2018. Over a period of two weeks, the school shall aim at helping young students gain broader exposure to problem solving skills in mathematics and statistics at the undergraduate level. Specific topics that will be covered are: Mathematical Logic, Advanced Calculus, Linear Algebra, Probability and Statistics. There will be problem solving courses in each topic. The level of difficulty will correspond to the first/second year curriculum of B.Math. (hons) or B.Stat. (hons) program at the Indian Statistical Institute, Bangalore/Kolkata. Each course will have a brief introductory lecture session on a focus area in one of the topics above and will be typically followed by 3 one and half hour problem solving sessions. The participants are expected to work together to solve the problem sheets...

Albert Einstein’s General Theory of Relativity, which is celebrating its centenary this year, predicts the existence of gravitational waves. Gravitational waves are freely propagating oscillations in the spacetime. The first direct detection of gravitational waves is expected to happen in the next few years by large laser interferometric detectors. Apart from the upcoming detectors in USA, Europe and Japan, there is an ongoing proposal to build a gravitational-wave observatory in India.This summer school on Gravitational Wave Astronomy aims to train students and young researchers in the emerging area of gravitational-wave astronomy. The school will involve four graduate-level courses on different topics of gravitational-wave astronomy.  The lectures will be given by five leading experts on these topics. The school is mainly intended for graduate students working (or starting to work) on gravitational-wave astronomy, high-energy astrophysics, cosmology and related areas. The school can ...