An international and multi-disciplinary research consortium spent two days at Leiden University for the launch of their ‘GOLD MATTERS’ project, funded jointly by NORFACE and Belmont Forum. The project 'Sustainability Transformations in Artisanal and Small-scale Gold Mining: A Multi-Actor and Trans-Regional…

The increasing resistance of pathogenic bacteria to antibiotics necessitates the discovery of new medicines.

Explore how stakeholders in Gabon's Makokou region interact with forest resources in logging, agriculture, and mining, and their impacts on social and environmental changes.

This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.

Promotor: J. N. Kok, Co-promotor: A. J. Knobbe

Several so-called Special Interest Groups are linked to DSRP. These groups focus on specialized topics and organize their own group meetings, talks etc. Contact the group leader if you are interested to join. It is possible to be a member of multiple groups.

Papers written on the occasion of the 30th anniversary of the Institute of Prehistory, Volume I.

Gold Matters: Sustainability Transformations in Artisanal and Small-scale Gold Mining: A Multi-Actor and Trans-Regional Perspective.This project explores whether a transformative approach towards sustainability can arise in Artisanal and Smallscale Gold Mining (ASGM).

When did the Mali Empire disintegrate? What does the Sunjata heritage demonstrate about the political situation after 1600?

The Wadi al Jizzi Archaeological Project is a systematic and long term archaeological surface survey project, investigating the rich archaeological heritage of the Wadi al Jizzi region (Oman) from the Paleolithic until the early Modern period.

We will use Artificial Intelligence to make an intelligent, multilingual search engine for archaeological texts, which will enable new discoveries about the human past.

The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…

The expanding population and economic activity are driving up global energy consumption. Simultaneously, there is an urgent need to transition from fossil fuels to renewable sources to mitigate the climate crisis, primarily caused by fossil fuel combustion.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

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.

Conference

Research on the global field of museums, heritage, commemoration, consumption and material culture

Research on the process of artisanal and small-scale mining (ASM) in West-Africa

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

To meet the rising demand for minerals driven by the global shift to clean energy technologies, ensuring responsible and resilient supply chains is critical. Minerals like cobalt, lithium, and nickel for batteries, neodymium and zinc for wind turbines, and indium for solar panels are essential.

The Digital Archaeology research group manages two computer laboratories with different purposes: the teaching lab (F1.01) and the research lab (A1.13a).

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.

Source: J Cheminform, Volume 6, Issue 1 (2014)

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

Industrialised countries extract natural resources in the territories of indigenous peoples, and appropriate the knowledge and culture of these peoples. Leiden anthropologists work to protect the rights of indigenous peoples. Their knowledge and advice enable governments to source sustainable produc…

The Middle Paleolithic site of Neumark was first discovered in the 1980’s by German geologist Matthias Thomae.

Peter Flach is Professor of Artificial Intelligence at the University of Bristol. An internationally leading scholar in the evaluation and improvement of machine learning models using ROC analysis and calibration, he has also published on mining highly structured data, on knowledge-driven and explainable…