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Mentoring Beyond AI: Forging Pioneers for a Dawning Era of Artificial Intelligence, the Metaverse and Space
No full textThis book not only covers the "tools of the trade" (mentoring how-to), it also examines mentoring's ancient origins since Homer's Odyssey, and peers into its future in virtual and outer space. Mentors are not born; they are mentees first and they evolve through trials and tribulations to success, to pass on their accumulated knowledge so the next generation can carry the torch yet farther. Such has been the experience of every known brilliant scientist in history. While they possessed the seeds of intellect and passion, they were nurtured to greatness by building on the wisdom and successes of others before them. Filled with the authors' case studies and anecdotes from contributors, this book explores how we humans learn and pass on wisdom to those that follow. It explores the "mentoring mindset" needed to retrieve and transfer knowledge to the willing ears of mentees as they reach beyond even our newest frontier that is artificial intelligence. Look for answers in the book to questions like these:
How do mentees benefit from their mentors?
What are the characteristics of a good mentor?
How are bright minds enabled to realize breakthroughs?
What are mentoring's origins and trends
Beyond forecasts: Providing agrometeorological advisory services in India (NIAS/NSE/EECP/R/PB/01/2024)
No full textTriple dip La-Nina, unorthodox circulation and unusual spin in air quality of India
No full textThe recent La-Nina phase of the El Nino Southern Oscillation (ENSO) phenomenon unusually lasted for third consecutive year, has disturbed global weather and linked to Indian monsoon. However, our understanding on the linkages of such changes to regional air quality is poor. We hereby provide a mechanism that beyond just influencing the meteorology, the interactions between the ocean and the atmosphere during the retreating phase of the La-Niña produced secondary results that significantly influenced the normal distribution of air quality over India through disturbed large-scale wind patterns. The winter of 2022–23 that coincided with retreating phase of the unprecedented triple dip La-Niña, was marred by a mysterious trend in air quality in different climatological regions of India, not observed in recent decades. The unusually worst air quality over South-Western India, whereas relatively cleaner air over the highly polluted North India, where levels of most toxic pollutant (PM2.5) deviating up to about ±30 % from earlier years. The dominance of higher northerly wind in the transport level forces influx and relatively slower winds near the surface, trapping pollutants in peninsular India, thereby notably increasing PM2.5 concentration. In contrast, too feeble western disturbances, and unique wind patterns with the absence of rain and clouds and faster ventilation led to a significant improvement in air quality in the North. The observed findings are validated by the chemical-transport model when forced with the climatology of the previous year. The novelty of present research is that it provides an association of air quality with climate change. We demonstrate that the modulated large-scale wind patterns linked to climatic changes may have far-reaching consequences even at a local scale leading to unusual changes in the distribution of air pollutants, suggesting ever-stringent emission control actions
Improved realistic stratification model for estimating thermocline thickness in vertical thermal energy storage undergoing simultaneous charging and discharging
No full textSimultaneous charging and discharging operations of thermal energy storages render effective energy-harnessing features. However, it leads to thermocline formation due to the dynamic interplay between energy input, energy extraction, and losses. Reliable retention of good thermodynamic quality of energy is realized by minimizing the energy degradation and thermocline thickness. Near real-time tracking of heat content degradation is a tedious task for real-sized storage systems, which involves accurate quantification of the temporal evolution of thermocline thickness. A few simplified, one-dimensional energy-based models are available for tracking the movement of the thermocline layer inside the thermal energy storage tank. However, these models largely assume the thermocline layer to be a thin horizontal plane within the tank, without quantifying the thermocline thickness. In this study, a reduced-order realistic stratification (RS) model has been developed for the vertical cylindrical tank equipped with an immersed helical discharging coil, working under dual-dynamic mode. For evaluating the thermocline thickness, the prediction equations for the average temperatures in the upper and the lower regions of the tank are formed using a machine-learning-based technique, considering a reasonably wide range of operating and geometrical parameters. The developed model utilizes approximate formulations for the average temperatures of the upper and lower regions of fluid within the storage tank, coil outlet temperature, and the overall average temperature of working fluid. For the larger storage tank (155 L), the thermocline thickness predicted by the new RS model is 738.26 mm at the end of simultaneous charging and discharging operation, whereas that estimated by detailed numerical simulation is 798.12 mm. This improved model reduces the computational time by about 80 % owing to effective approximations and can be used for a reasonably accurate rapid assessment of thermal degradation in the storages deployed for low-temperature solar thermal applications, including domestic hot water systems
Recent Studies on Volcanic Materials and Chemistry of the Earth’s Interior – An Indian Perspective
No full textAssessment of the Socio-Economic impacts of agrometeorological advisory services (AAS) in the Kalyana-Karnataka region
No full textNIAS-MECS Project on "An Evidence-based Approach to Access the Energy Transition in Clean Cooking"
No full textThe National Institute of Advanced Studies (NIAS) at IISc Campus, Bengaluru, has completed the first phase of the project entitled “An Evidence-based Approach to Access Energy Transition in Clean Cooking” of 9-month duration funded by the Modern Energy Cooking Services (MECS) Programme of Loughborough University, UK. The project's core objective was to Evaluate Energy Transition Readiness in the Residential Cooking Sector among Low and Medium-Income Households in Bengaluru. This project germinated through the active support of the Office of the Principal Scientific Adviser (O/o PSA) to Govt’ of India,
which helped in forming the collaboration between the Modern Energy Cooking Services (MECS) Programme, Loughborough University (UK), and NIAS, through Finovista (in-country partner of MECS Programme in India). The close collaboration between the MECS Programme and NIAS ensured smooth and successful project execution.
Through a detailed thematic survey of 910 households, the NIAS team unearthed
several not-so-obvious socio-economic realities that dictate lifestyle choices, such as the choices made by households for residential cooking. These socio-economic determinants often remain unexplored, with scarce and fragmented information available in the open-source domain. Therefore, the results brought forth by the NIAS team, both in qualitative and quantitative forms, add significantly to the body of existing knowledge. The research also points at several gap areas that need attention from policymakers for the overall upliftment of
society through appropriate interventions aimed at low-to-medium-income households. This study also aims to initiate informed engagements among the eCooking industry stakeholders, policymakers, and the consumer community. The objectives and the outcome of the project are aligned with India’s larger goals of energy transition, energy security, and self-reliance. The template created by the NIAS team provides an approach to look at the eCooking transition possibilities in different parts of India in subsequent phases
Chronicles of a Global City: Speculative Lives and Unsettled Futures in Bengaluru
No full textTracking Bengaluru’s dramatic urban transformation through the entanglements of finance, land frenzy, real estate volatility, and livelihood upheavals, this edited volume is an outcome of the Speculative Urbanism research project that was carried out over several years at NIAS, in collaboration with colleagues at the University of Minnesota. The book is a collection of short essays written to be accessible to a general readership, but undergirded by theoretical insights from sociology, anthropology, urban studies and geography
Book review: Douglas E. Haynes, The Emergence of Brand-Name Capitalism in Late Colonial India: Advertising and the Making of Modern Conjugality
No full textResearch Report on Technology Assessment of Select Small and Modular Reactors (SMRs) to Achieve Net Zero with Energy Security in India (NIAS/NSE/EECP/R/RR/14/2024)
Get PDFIndia’s cumulative emissions from fossil fuels and industry between the start of the Industrial Revolution in 1750 and the end of 2021 amount to only 3.3% of the World’s total. As per the World Energy Outlook, India’s per capita emissions in 2023 are only 42.6% of the World average and much less than those of the developed countries. Since India’s energy needs are also growing rapidly to overcome its development deficit, the country’s share in global CO2 emissions will increase along with its share in the global electricity generation till fossil-fuel-free energy sources are scaled up to meet the electricity baseload demand. India’s Nationally Determined Contributions (NDCs) submitted to the United Nations Framework Convention on Climate Change (UNFCCC) in November 2022 include raising the 2030 targets for all non fossil fuel sources of energy to 500 GW, and the implementation of a ‘Long-term Low Carbon Development Strategy (LT-LEDS)’. Nuclear power is included in these NDCs and the LT-LEDS. The rapid expansion of NPPs is a reliable and efficient way to mitigate climate change and achieve multiple SDGs since nuclear power can generate firm, zero-carbon electricity at affordable tariffs while providing important co-benefits such as high-skill jobs in technology, manufacturing, and operations, besides enhancing community development. Small Modular Reactors (SMRs) are designed with a smaller core damage frequency and source term compared to conventional NPPs and include enhanced seismic isolation as well as several passive safety features, resulting in a lower potential for unsafe radioactive releases into the environment. Therefore, SMRs can be located much closer to population centres compared to conventional NPPs. As part of an ISEF-sponsored project, NIAS has formulated a technology evaluation methodology for SMRs as a critical input to select suitable SMR technologies for serial manufacture and deployment in India