Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

This book provides the answers, presenting clear insights into the current state of affairs and exploring future prospects.

Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.

What is Leiden University doing to reduce energy consumption and move away from fossil energy? Where can you find information about energy? And what changes can you make yourself?

This article describes that although the use of the concept of energy justice is new, normative interpretations have long been part of energy policy.

The transition to new and renewable energy sources should be completed by 2050. Researchers in various disciplines at Leiden University are conducting unique research that will help us make this transition and reduce CO2 emissions.

Twenty years from now, the world population is estimated to be around 8.7 billion people, compared to the current 7.3 billion. In combination with the improvements in living standards and the corresponding growth in consumption, this will result in an enormous increase in the demand for food, consumables,…

For Leiden University’s operations, sustainability is an important topic, especially looking at the CO2-footprint, renewable energy and the greening of buildings.

The energy system is at the heart of two of the greatest challenges of the 21st century: decreasing CO2 emissions to meet the ambitions of the Paris agreement while fulfilling the growing energy demand associated with the economic aspirations of a growing world population.

The energy transition is a complex transformation process that is not only about technology -moving towards renewable energy sources-, but even more so about societal and institutional change. The energy transition requires and provides opportunities for actors to take on new roles.

The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.

How do technological systems impact the environment? And can they be designed in a more sustainable way? The Resources and Energy research program studies the importance of resources and energy for our society and aims to guide the shift towards a sustainable circular economy.

Energy transition will entail the construction of large numbers of new energy installations. Such construction projects may meet with opposition from people living close by. Assistant Professor Bríd Walsh investigated how the local community can best take part in such projects.

We would like to present to you a simple guidebook about living a sustainable life as a student in the cities of Leiden and The Hague. Whether you are a first-year student still trying to find your way around or already doing your masters – students wanting to explore more sustainable options and save…

Promotor: Huub de Groot, Co-promotor: Francesco Buda

Marc Koper’s research focuses on electrocatalysis and electrochemical surface science for sustainable energy and chemistry. Reactions of interest are the redox reactions of the oxygen/hydrogen cycle (water oxidation, hydrogen evolution), the carbon cycle (reduction of carbon dioxide, oxidation of small…

Governments are increasingly facilitating the roll-out of so-called “smart meters”, a technology for measuring energy consumption that are able to transmit and receive data using a form of electronic communication. However, implementation has been slow or even stalled.

Twenty years from now, the world population is estimated to be around 9 billion people (now 8 billion). In combination with the improvements in living standards and the corresponding growth in consumption, this population will result in an enormous increase in the demand for food, consumables, water…

Research on this theme addresses the systemic risks faced by European societies and affecting the quality of life of European citizens.

The transition from fossil fuels and the practical changes that this entails make many demands on citizens. Emma ter Mors, a psychologist and lecturer at Leiden University, is researching the factors that contribute to public perception and acceptance of new energy technologies.

Examining if large scale application of new energy pathways can be constrained by materials and emissions.

Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.

Hetterscheid

A cross-cut analysis of the ties between university research and fossil industries.

Chemical reactions go hand-in-hand with an energy exchange with the environment in which they take place. Surfaces offer a variety of energy dissipation channels, constituted by the nuclear and electronic degrees of freedom of the atoms at the interface. Aiming at an improved future harvesting of energy,…

Physicist Remko Fermin from Leiden University was awarded a Rubicon grant from NWO. He will use it to study superconducting diodes that could contribute to reducing the CO2 emission of data centres.

The main research theme in the group of Dennis Hetterscheid is to understand and mimic bioinorganic multi-electron processes that are relevant to our future energy infrastructure. Reduction of protons generates hydrogen that can be used as a chemical fuel. Alternatively to gaseous hydrogen, the reduction…

In this Ph.D. thesis we study the interaction of low energy electrons with thin materials, namely layered materials (graphene, hexagonal boron nitride, molybdenum disulfide) and organic films. At these low energies the quantum mechanical wavelength of the electron wave function is in the order of a…

In this article, Annemiek de Looze and Eefje Cuppen, investigated empericallly if and how social conflict leads to institutional change.

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

In order to analyze the challenges linked to data use in the context of nexus governance, Giest & Mukherjee use a policy design lens and more specifically the perspective of organizational policy instruments to look at the Mediterranean region.

Material circularity and energy efficiency are highly relevant and intertwined issues for the transition towards a carbon-neutral and circular built environment. In the Netherlands, the building sector has been rendered a priority towards a circular and low-carbon society.

Molecular materials have been a subject of interest in fundamental research and applications for decades, and have been studied as bulk crystals, (thin) films and as individual molecules, due to the large variety in their properties. This dissertation explores pentacene crystals near the two-dimensional…

Social science research helps us understand human behaviour and social structures. These are determined by various factors, which makes the research complex and increases the likelihood of drawing the wrong conclusions. The choice of research method and analysis is therefore extremely important. It…

Over the past century, the world population has grown exponentially, as has our need for energy and raw materials. If we wish to continue to live prosperously in the future, we have to radically restructure our economy and consumption. Scientific research shows us how to do this.

Over the past century, the world population has grown exponentially, as has our need for energy and raw materials. If we wish to continue to live prosperously in the future, we have to radically restructure our economy and consumption. Scientific research shows us how to do this.

Data reuse and big data: a taxonomy for personal data reuse.

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…

Data Sets Department of Economics

Over time, the temperature in all buildings will be regulated in a sustainable manner. In this way, using gas will not be necessary anymore.

Systems are called real-time systems, if the correctness of the system does not only depend on the correctness of the system output but also on whether the output is delivered on time.

Nonadiabatic energy transfer from the translational motion (T) of a molecule impinging on metal surface to the metal’s electrons may determine whether the molecule can lose enough energy to adsorb or react.

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

This thesis examines silicon pore optics (SPO), a technology that exploits silicon wafers from the semiconductor industry to create extremely high quality X-ray optics, by studying its manufacturing process, applications, and prospects.

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.

In this article, Marco Cinelli, assistant professor at Leiden University College The Hague, examines proper and improper uses of Multiple Criteria Decision Analysis (MCDA) methods in energy systems analysis.