Publications ›› Blog

Flood Inundation Modelling

Flood inundation refers to the submergence of land areas due to rising water levels during extreme weather events, such as heavy rainfall or overflowing rivers. Accurate mapping of flood-prone areas is crucial for disaster preparedness, emergency response, and effective damage assessment. By predicting which regions are most likely to be inundated, authorities can develop early […]

A New Era of Data for Public Good: CDPG 2024 Symposium Highlights and Future Directions

The Symposium on Data for Public Good 2024 was a resounding success, bringing together thought leaders, practitioners, and innovators from across the globe to explore the transformative potential of data in addressing societal challenges. Held in JN Tata Auditorium, in IISc, on September 19-20, the symposium served as a vibrant platform for knowledge sharing, networking, […]

Land Use/Land Cover(LULC) Classification with Semi-Supervised Learning

INTRODUCTION Land Use Land Cover (LULC) classification is a vital process in remote sensing and geographic information systems. It categorizes Earth’s surface based on physical cover (e.g., forests, water, buildings) and human usage (e.g., agriculture, urban development, conservation). For instance, an area may have a land cover of ‘grass’ with a land use of ‘park’ […]

Exploring India’s Wind Patterns using data

India’s energy sector is significantly propelled by its robust indigenous wind power industry, which has demonstrated consistent and notable growth over time. Wind energy accounts for approximately 35% of the total renewable energy1 in the country. As of 2020, India ranked 4th in wind power and 5th in solar power globally2. Looking ahead, India has […]

Urban Sprawl along the Indian coastlines using Data

Urban sprawl around India’s coastline is a growing concern as the nation continues to urbanize rapidly. With an extensive coastline stretching approximately 7,500 kilometers1, encompassing the Bay of Bengal, the Indian Ocean, and the Arabian Sea, India’s coastal regions are home to numerous major cities and towns. This urban expansion is driven by economic opportunities, […]

Accelerating Agricultural Innovation with the ADeX Sandbox

The Agricultural Data Exchange (ADeX) is designed to revolutionise the agriculture sector by providing efficient and seamless data exchange through open and standardised interfaces. ADeX aims to address the challenges of feeding a growing global population while minimising environmental impacts and preserving natural resources. By making agricultural data accessible and useful, ADeX empowers farmers and […]

Sustainability in the Information Society

In 1987, the World Commission on Environment and Development of the United Nations released Our Common Future, also known as the Brundtland Report. The report firmly established the modern paradigm of sustainable development, as “development that meets the needs of the present without compromising the ability of future generations to meet their own needs”. This […]

Forecasting Kaveri River Water Quality using Time series models

People around the globe, are affected by poor water quality. Potable water scarcity is exacerbated due to poor water quality. It has been observed in some countries that there is a direct correlation between water quality and economic growth [1]. Therefore it is imperative to study and forecast water quality so that timely action could […]

Profiling Java Applications using Async Profiler and Flame Graphs

Introduction A key requirement of a data exchange is good platform performance. Deciding what is good performance is usually determined by the data characteristics and query statistics. Serving a hundred small JSON documents per second may be considered slow, while serving a hundred 5-minute-long video files per second could be considered as excellent performance. There […]

Secure Multi-Party Computation

Have you ever wanted to query an online application but felt sceptical about sharing your personal data? How can confidential data be given to a third party for analysis without worrying about its privacy implications? How do multiple competing organisations collaborate on a joint task without revealing their private data? Private data is not limited […]