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Symposium on Ownership Societies Past and Present Tisdag 21 april, 2026 Har uppkomsten av ägarsamhället skapat en välmående medelklass – eller har det bidragit till ökad ojämlikhet och social utsatthet?Under de senaste decennierna har västerländska samhällen propagerat för ägande av bostäder och andra finansiella tillgångar som den viktigaste vägen till ekonomiskt välstånd. Idag befinner sig hushå
https://www.cors.lu.se/owning-or-sharing - 2026-06-03
”Människorna som arbetar och studerar är universitetets viktigaste tillgång. En god arbetsmiljö är grunden för att man ska utvecklas, trivas, vara säker och må bra på sitt arbete eller i sina studier.” Så står det i förordet till arbetsmiljöpolicyn för Lunds universitet. Detta gäller självklart också vid naturvetenskapliga fakulteten. På denna webbsida hittar du information, stöd och tips som fram
https://www.naturvetenskap.lu.se/internt/stod-och-verktyg/arbeta-med-arbetsmiljofragor - 2026-06-03
REPORT TITLE Corruption has been a systemic problem in Armenia, and topped the list of key challenges to Armenia’s development for many years. Political-economic patronage networks were embedded in state institutions and dominated Armenia’s political economy that resulted in alleged illicit enrichment by various means.1International assessments of Armenia’s anti-corruption efforts by 2018 acknowle
https://rwi.lu.se/wp-content/uploads/2025/05/Edited_Anna-Melikyan_2-JJ-1-1-1.pdf - 2026-06-05
https://luvit.education.lu.se/LUCE/index.aspx - 2026-06-04
Professor emeritus Contact details Email: lennart [dot] lindegren [at] fysik [dot] lu [dot] seOrganisation Astrophysics Room number: A418 Service point: 14 WebpageLennart Lindegrens profile in Lund University research portalDuring more than two decades, researchers at Lund Observatory participated in the ESA space astrometry mission Hipparcos, first in the planning and execution of the science dat
https://www.astro.lu.se/~lennart - 2026-06-04
It is important that climate models can accurately simulate the terrestrial carbon cycle in the Arctic due to the large and potentially labile carbon stocks found in permafrost-affected environments, which can lead to a positive climate feedback, along with the possibility of future carbon sinks from northward expansion of vegetation under climate warming. Here we evaluate the simulation of tundra
Dynamic global vegetation models (DGVMs) are designed for the study of past, present and future vegetation patterns together with associated biogeochemical cycles and climate feedbacks. However, most DGVMs do not yet have detailed representations of permafrost and non-permafrost peatlands, which are an important store of carbon, particularly at high latitudes. We demonstrate a new implementation o
Land surface phenology is frequently derived from remotely sensed data. However, over regions with seasonal snow cover, remotely-sensed land surface phenology may be dominated by snow seasonality, rather than showing true plant phenology. Overlooking snow influences may lead to inaccurate plant phenology estimation, and consequently to misinterpretation of climate-vegetation interactions. To addre
Model-based estimations of historical fluxes and pools of the terrestrial biosphere differ substantially. These differences arise not only from differences between models but also from differences in the environmental and climatic data used as input to the models. Here we investigate the role of uncertainties in historical climate data by performing simulations of terrestrial gross primary product
Year-to-year variations in crop yields can have major impacts on the livelihoods of subsistence farmers and may trigger significant global price fluctuations, with severe consequences for people in developing countries. Fluctuations can be induced by weather conditions, management decisions, weeds, diseases, and pests. Although an explicit quantification and deeper understanding of weather-induced
Monitoring of forest carbon fluxes for the purpose of national greenhouse-gas inventorying and reporting are commonly based on repeated large-scale field measurements. Alternate approaches based on modelling of forest growth offers potential benefits such as cost savings and detailed assessments of involved carbon fluxes. We calculated the net primary productivity (NPP) of Swedish forests using tw
Coreference resolution is the identification of phrases that refer to the same entity in a text. Current techniques to solve coreferences use machine-learning algorithms, which require large annotated data sets. Such annotated Resources are no tavailable for most languages today. In this paper, we describe a method for solving coreferences for Swedish and German using distant supervision that does
In this paper, we describe Docforia, a multilayer document model and application programming interface (API) to store formatting, lexical, syntactic, and semantic annotations on Wikipedia and other kinds of text and visualize them. While Wikipedia has become a major NLP resource, its scale and heterogeneity makes it relatively difficult to do experimentations on the whole corpus. These experimentat
Operationalizing a Global Carbon Observing and Analysis System (www.geocarbon.net) would provide a sound basis for monitoring actual carbon fluxes and thus getting quantities right when pricing carbon - be it in a cap-and-trade scheme or under a tax regime. However, such monitoring systems are expensive and-especially in times of economic weakness-budgets for science and environmental policy are u
The Amazon rainforest is disproportionately important for global carbon storage and biodiversity. The system couples the atmosphere and land, with moist forest that depends on convection to sustain gross primary productivity and growth. Earth system models that estimate future climate and vegetation show little agreement in Amazon simulations. Here we show that biases in internally generated clima
Reducing greenhouse gas emissions to limit damage to the global economy climate-change-induced and secure the livelihoods of future generations requires ambitious mitigation strategies. The introduction of a global carbon tax on fossil fuels is tested here as a mitigation strategy to reduce atmospheric CO2 concentrations and radiative forcing. Taxation of fossil fuels potentially leads to changed
The large spatial variability in Arctic tundra complicates the representative assessment of CO2 budgets. Accurate measurements of these heterogeneous landscapes are, however, essential to understanding their vulnerability to climate change. We surveyed a polygonal tundra lowland on Svalbard with an unmanned aerial vehicle (UAV) that mapped ice-wedge morphology to complement eddy covariance (EC) fl
Monitoring is science keeping our thumb on the pulse of the environment to detect any changes of concern for societies. Basic science is the question-driven search for fundamental processes and mechanisms. Given the firm root of monitoring in human interests and needs, basic sciences have often been regarded as scientifically "purer"-particularly within university-based research communities. We ar
Machine learning is ubiquitous in today’s society, with promising applicationsin the field of natural language processing (NLP), so that computers can handlehuman language better, and within the medical community, with the promiseof better treatments. Machine learning can be seen as a subfield of artificialintelligence (AI), where AI is used to describe a machine that mimics cognitivefunctions tha
