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Hydrologic predictions in a changing environment: behavioral modeling
(2010)Hydrology and Earth System Sciences DiscussionsMost hydrological models are valid at most only in a few places and cannot be rea-sonably transferred to other places or to far distant time periods. Transfer in space isdifficult because the models are conditioned on past observations at particular placesto define parameter values and unobservable processes that are needed to fully characterize the structure and functioning of the landscape. Transfer in time has to deal withthe likely ...Working Paper -
Electricity Planning for Sustainable Development in the MENA Region
(2017)MENA-SELECT Working PaperWorking Paper -
Development and testing of scenarios for implementing Holocene LULC in Earth System Model Experiments
(2019)Geoscientific Model Development DiscussionsAnthropogenic changes in land use and land cover (LULC) during the pre-industrial Holocene could have affected regional and global climate. Current LULC scenarios are based on relatively simple assumptions and highly uncertain estimates of population changes through time. Archaeological and palaeoenvironmental reconstructions have the potential to refine these assumptions and estimates. The Past Global Changes (PAGES) LandCover6k initiative ...Working Paper -
Species-level microbial sequence classification is improved by source-environment information
(2019)bioRxivPopular naive Bayes taxonomic classifiers for amplicon sequences assume that all species in the reference database are equally likely to be observed. We demonstrate that classification accuracy degrades linearly with the degree to which that assumption is violated, and in practice it is always violated. By incorporating environment-specific taxonomic abundance information, we demonstrate that species-level resolution is attainable.Working Paper -
Revisiting microbe-metabolite interactions: doing better than random
(2019)bioRxivRecently, Quinn and Erb et al [1] made the case that when used correctly, correlation and proportionality can outperform MMvec when identifying microbe-metabolite interactions. We revisit this comparison and show that the proposed correlation and proportionality are outperformed by MMvec on real data due to their inability to deal with sparsity commonly observed in microbiome and metabolome datasets.Working Paper -
Towards an Inclusive Future in AI
(2019)In response to the accelerating potential of artificial intelligence (AI) to transform our lives, various governments, multilateral bodies, and other organizations have produced high-level principles and guidelines for the ethical use of AI in recent years. Despite the staggering number of such documents (over 90 by October 2019), there appears to be a relatively high degree of convergence on the level of principles. «Inclusiveness» is ...Report -
Schlussbericht des Projekts Nitrate leaching risk mapping (NitLeach II)
(2019)Auswaschung von Stickstoff (N) aus Waldflächen mit dem Sickerwasser ist in der Schweiz unter anderem im Zusammenhang mit der Gewinnung von Trinkwasser aus Grundwasservorkommen relevant. In diesem Projekt wurde der Zusammenhang zwischen der N-Auswaschung und Indikatoren für die Stickstoffsättigung anhand von Messungen auf 70 Waldflächen in der Schweiz, Deutschland, Frankreich, Belgien Italien und Irland statistisch untersucht. Wichtigste ...Report