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SUMMARY:Advanced measurements & analyses of GHG fluxes from soils & ecosystems (AMAGS)
DESCRIPTION:Enrolment guidelines  \nThis is a specialised course where 50% of the seats are reserved to PhD students enrolled at the Faculty of SCIENCE at UCPH and 50% of the seats are reserved to other applicants. Seats will be allocated on a first-come\, first-served basis and according to the applicable rules. \nAnyone can apply for the course\, but if you are not a PhD student at a Danish university (except CBS)\, you will be placed on the waiting list until enrollment deadline. After the enrollment deadline\, available seats will be allocated to applicants on the waiting list. \nAim and ContentAim: The course will focus on teaching the students how to measure and calculate the exchange of GHG’s between the soil/ecosystem and the atmosphere using state-of-the-art chamber and analyzer technologies. The course will highlight the conceptual\, technological and analytic challenges involved in obtaining the “true” measure of the GHG flux between the soil and the atmosphere and how these data can be used to address fundamental knowledge gaps related to biogeochemical feedbacks to current and future climate. \nBackground: The chamber method is the most widely used for GHG flux measurements\, but comes with the downside of being extremely time consuming. However\, recent development in combining novel chamber design with real-time GHG analyses now allows for automation of the flux measurements using very short time scales\, compared to earlier technologies. These advances now rival the temporal resolution of eddy covariance measurements often considered as the golden standard in GHG flux measurements.This development represent a significant advantage as it is known that long measurement times using chambers severely biases the flux measurements meaning that flux quality is greatly improved. Another advantage of automated chambers is the potential to resolve spatiotemporal patterns in much higher detail than possible with other GHG flux techniques. Because chambers target small areas they can be deployed to measure spatial patterns which are highly needed to understand soil physical\, chemical and biological drivers of GHG fluxes. \nContent: The course will be based on field work done at our state-of-the-art GHG facilities\, Brandbjerg and Højbakkegård\, where the students will be introduced to and work with highly advanced technologies to quantify exchange of greenhouse gases in agriculture\, grassland/heatland and forest ecosystems (i.e. 15 h of practical exercises over two days in the field\, KSL\, JRC\, JP\, SB\, AB). Automatic chamber systems in operation at the sites allow students to get an insight in to real research projects dealing with GHG exchange and will work as a basis for class room discussion and learning. Another 15 hours will be spent working with the data obtained in the field (i.e. 15 h theoretical exercises). Remaining time during the course will be spent on lectures by RK\, JP\, KSL\, JRC\, and AB (5 h) and class instructions for the theoretical exercises and summaries by RK\, JP\, KSL\, and JRC (5 h). The 30 hours of preparation time will be spent on reading the suggested reading and an e-learning pre-assignment (10 h\, KSL and JRC) to familiarize themselves with the R software and two specific R packages typically used for calculating the GHG fluxes\, i.e. the HMR package (co-developed by JP) and the goFlux package (co-developed by KSL and JRC). \nLearning outcomesIntended learning outcome for the students who complete the course: \nKnowledge•	describe commonly used chamber methods and equipment for measuring greenhouse gas fluxes from soils/ecosystems/water surfaces•	demonstrate the field use of the chamber method with different gas analyzers•	discuss theory of sampling design \nSkills•	work independently with the chamber methods under field conditions •	evaluate the pros and cons of using specific designs to measure greenhouse gas fluxes•	apply the sampling methodology in the field•	design a problem-oriented scientific field sampling protocol for greenhouse gas fluxes \nCompetences•	project-oriented group work in the field•	choose the correct techniques to obtain a representative flux of greenhouse gases•	analyze field data using graphic and statistical techniques in R•	synthesize results in a written report \nTarget GroupThe course target group is PhD students\, who wants to learn about technologies and data analytical tools for measuring and calculating the exchange of one or more greenhouse gases between soils / ecosystems and the atmosphere. The course is relevant to many PhD students studying various aspects of plant-microbe processes\, interactions\, and responses to changes in land use management\, pollution\, and climate across multiple ecosystem types spanning from intensive agricultural systems to more complex natural ecosystems.  \nRecommended Academic QualificationsThe PhD student should be working with some aspect of greenhouse gas exchange between soil/water surface/ecosystem and the atmosphere in their PhD project. A master’s degree with previous experience is an advantage but not a requirement. \nResearch AreaIt is critical for environmental scientists to quantify the major sources and sinks of the most common greenhouse gases (GHG) as well as to disentangle the processes involved in GHG exchange in terrestrial ecosystems including streams\, rivers and lakes. Such data and knowledge are essential for the development of national and international strategies for sustainably managing energy production and land use. \nTeaching and Learning MethodsAMAGS focuses on hands-on experience for the students by measuring the exchange of GHG’s between the soil and the atmosphere using the chamber methodology. It is a key element of the course that participant will perform fieldwork testing the theoretical basis of the course at a real field site under the guidance of the course teachers. Furthermore\, it is central to the course that collected data are integrated into the theoretical exercise part of the course (i.e. 15 h in total). With this emphasis on doing science the course will highlight the conceptual\, technological and analytic challenges involved in obtaining the “true” measure of the GHG flux between the soil/ecosystem and the atmosphere.Key concepts of the course will be presented by keynote lectures by RK\, JP\, AB\, JRC and KSL\, as well as discussed on the background of presentations by the students\, group work and fieldwork. The course starts with establishing a knowledge base by reviewing current literature within the research field prior to course start. This will form the basis for an active involvement of PhD students in the specific theoretical and methodological problems\, how to construct a research question and carry out a field sampling design with hands-on experiments and evaluate the data collection techniques through actual analyses of field data. The course is finalized by group presentation by students and a written report submitted after the course presenting and discussing the collected data and results. The proposed PhD course expands the scope of our collaboration with RK by taking advantage of his unique competences in biogeochemistry and GHG measurements with his expertise as a teacher. \nType of AssessmentParticipants must hand in a written report summarizing and discussing the results of data obtained and analysed during the course \nLiteratureManual chambers:Christiansen\, J. R.\, Korhonen\, J. F. J.\, Juszczak\, R.\, Giebels\, M.\, & Pihlatie\, M. (2011). Assessing the effects of chamber placement\, manual sampling and headspace mixing on CH4 fluxes in a laboratory experiment. Plant and Soil\, 343(1–2)\, 171–185. https://doi.org/10.1007/s11104-010-0701-y.Pihlatie\, M. K.\, et al. (2013). Comparison of static chambers to measure CH4 emissions from soils. Agricultural And Forest Meteorology 171-172: 124-136.  10.1016/j.agrformet.2012.11.008Xu\, L.\, Furtaw\, M. D.\, Madsen\, R. A.\, Garcia\, R. L.\, Anderson\, D. J.\, & McDermitt\, D. K. (2006). On maintaining pressure equilibrium between a soil CO2 flux chamber and the ambient air. Journal of Geophysical Research Atmospheres\, 111(8)\, 1–14. https://doi.org/10.1029/2005JD006435.Christiansen\, J. R.\, Outhwaite\, J.\, & Smukler\, S. M. (2015). Comparison of CO2\, CH4 and N2O soil-atmosphere exchange measured in static chambers with cavity ring-down spectroscopy and gas chromatography. Agricultural and Forest Meteorology\, 211–212\, 48–57. https://doi.org/10.1016/j.agrformet.2015.06.004.Thalasso\, F.\, Riquelme\, B.\, Gómez\, A.\, Mackenzie\, R.\, Aguirre\, F. J.\, Hoyos-Santillan\, J.\, Rozzi\, R.\, and Sepulveda-Jauregui\, A.: Technical note: Skirt chamber – an open dynamic method for the rapid and minimally intrusive measurement of greenhouse gas emissions from peatlands\, Biogeosciences\, 20\, 3737–3749\, https://doi.org/10.5194/bg-20-3737-2023\, 2023. \nAutomated chambers:Brændholt\, A.\, Larsen\, K.S.\, Ibrom\, A.\, and Pilegaard\, K.: Overestimation of closed-chamber soil CO2 effluxes at low atmospheric turbulence\, Biogeosciences\, 14\, 1603–1616\, https://doi.org/10.5194/bg-14-1603-2017\, 2017.Lee\, JS. Comparison of automatic and manual chamber methods for measuring soil respiration in a temperate broad-leaved forest. j ecology environ 42\, 32 (2018). https://doi.org/10.1186/s41610-018-0093-0.Flux calculation:Hutchinson\, G. L.\, & Mosier\, A. R. (1981). Improved Soil Cover Method for Field Measurement of Nitrous Oxide Fluxes. Soil Science Society of America Journal\, 45(2)\, 311. https://doi.org/10.2136/sssaj1981.03615995004500020017x.Pullens J.W.M.\, etal. (2023) Identifying criteria for greenhouse gas flux estimation with automatic and manual chambers: A case study for N2O. European journal of soil science\, 74:e13340. https://doi.org/10.1111/ejss.13340.Rheault et al. (2024). goFlux: A user-friendly way to calculate GHG fluxes yourself\, regardless of user experience. Journal of Open Source Software\, 9(96)\, 6393. https://doi.org/10.21105/joss.06393 (https://qepanna.quarto.pub/goflux/)Hüppi\, R.\, Felber\, R.\, Krauss\, M.\, Six\, J.\, Leifeld\, J.\, & Fuß\, R. (2018). Restricting the nonlinearity parameter in soil greenhouse gas flux calculation for more reliable flux estimates. PLOS ONE\, 13(7)\, e0200876. https://doi.org/10.1371/journal.pone.0200876.Chamber guideline papers (for reference):Pavelka M.\, et al (2018) Standardisation of chamber technique for CO2\, N2O and CH4 fluxes measurements from terrestrial ecosystems. International Agrophysics\, 32\, 569-587. doi: 10.1515/intag-2017-0045.Maier M.\, et al. (2022) Introduction of a guideline for measurements of greenhouse gas fluxes from soils using non-steady-state chambers. J. Plant Nutr. Soil Sci. 2022;185:447–461. doi: 10.1002/jpln.202200199. \nCourse coordinatorKlaus Steenberg Larsen (KSL)\, Associate Professor\, ksl@ign.ku.dkJesper Riis Christiansen (JRC)\, Associate Professor\, jrc@ign.ku.dk \nGuest LecturersRK (Senior scientist and head of division at Karlsruhe Institute of Technology\, IMK-IFU\, Germany) is an expert on GHG measurements (CO2\, CH4 and N2O) and feedback mechanisms of global environmental changes on terrestrial ecosystems. He has worked for >25 years with measuring and modelling C and N turnover and associated matter fluxes in natural and managed ecosystems at site and landscape scale. RK contributes to the course with lectures and instructions during theoretical exercises. \nJP (Tenure Track Assistant Professor\, Dept. of agroecology\, Aarhus University) is an expert on eddy co-variance measurements of GHG exchange as well as on the calculations of fluxes using R software and flux calculation packages. In particular\, an expert on the HMR package\, where he was a co-developer of the latest version. JP contributes to the course with lectures and instructions during theoretical exercises as well as partially in the field. \nThe proposed PhD course expands the scope of our collaboration with both RK and JP by taking advantage of their unique knowledge in the field of biogeochemical cycling of ecosystems and GHG measurement expertise. \nDates24 – 28 August 2026 \nCourse locationKU-IGN\, Rolighedsvej 23\, 1958 Frederiksberg C – and at field sites in Jægerspris and at Højbakkegård. \nCourse fee• Participant fee: 1000 DKK (All participants)• PhD student enrolled at SCIENCE: 0 DKK• PhD student from Danish PhD school Open market: 0 DKK• PhD student from Danish PhD school not Open market: 3000 DKK• PhD student from foreign university: 3000 DKK• Master’s student from Danish university: 0 DKK• Master’s student from foreign university: 3000 DKK• Non-PhD student employed at a university (e.g.\, postdocs): 3000 DKK• Non-PhD student not employed at a university (e.g.\, from a private company): 8400 DKK \nCancellation policy•	Cancellations made up to two weeks before the course starts are free of charge.•	Cancellations made less than two weeks before the course starts will be charged a fee of DKK 3.000•	Participants with less than 80% attendance cannot pass the course and will be charged a fee of DKK 5.000•	No-show will result in a fee of DKK 5.000•	Participants who fail to hand in any mandatory exams or assignments cannot pass the course and will be charged a fee of DKK 5.000 \nCourse fee and participant feePhD courses offered at the Faculty of SCIENCE have course fees corresponding to different participant types.In addition to the course fee\, there might also be a participant fee.If the course has a participant fee\, this will apply to all participants regardless of participanttype – and in addition to the course fee. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/advanced-measurements-analyses-of-ghg-fluxes-from-soils-ecosystems-amags/
LOCATION:Department of Geoscience and Natural Resource Management
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260810
DTEND;VALUE=DATE:20260815
DTSTAMP:20260915T103004Z
CREATED:20260915T103004Z
LAST-MODIFIED:20260915T103004Z
UID:10001895-1786320000-1786751999@ddsa.dk
SUMMARY:Quantitative Sustainability Assessment
DESCRIPTION:Enrolment guidelines  \nThis is a toolbox course where 80% of the seats are reserved for PhD students enrolled at the Faculty of SCIENCE at UCPH and 20% of the seats are reserved for PhD students from other Danish Universities/faculties (except CBS). Seats will be allocated on a first-come\, first-served basis and according to the applicable rules.Anyone can apply for the course\, but if you are not a PhD student at a Danish university (except CBS)\, you will be placed on the waiting list until enrollment deadline. After the enrollment deadline\, available seats will be allocated to applicants on the waiting list. \nAim and ContentThe course is designed to equip students with the necessary tools to reflect upon and quantify sustainability performance\, a crucial component in research\, policymaking\, corporate decision making\, and reporting. It focuses on introducing the fundamental principles of quantitative sustainability assessment of various production systems\, including dynamic carbon modelling and utilizing unexplored side streams along value chains. Key methodological approaches such as material flow analysis\, input-output modelling\, life cycle assessment\, and carbon dynamics will be covered\, with an emphasis on defining functional units\, time scales\, and system boundaries. This practical application will be facilitated through individual or group problem-oriented projects\, employing a variety of analytical tools and methods chosen by the students. Throughout the course\, critical topics such as resource and emission capture\, zero waste strategies\, and cascade utilization within circular business ecosystems will be explored through interactive lectures and practical applications. This approach fosters an environment of active learning\, allowing participants to directly engage with the material and apply what they learn to real-world scenarios. \nLearning outcomesIntended learning outcome for the students who complete the course: \nKnowledge:•	Understand the principles\, requirements\, and limitations behind quantitative sustainability assessment methods such as material flow analysis\, life cycle assessment (LCA)\, input-output modeling\, and dynamic carbon modeling. •	Grasp the importance of selecting meaningful parameters when defining system boundaries\, functional units\, and allocation methods. •	Recognize the role of unexplored sidestreams in enhancing sustainability within circular business ecosystems. \nSkills:•	Apply various quantitative sustainability assessment tools and methods to their own data sets\, enhancing their ability to analyze and predict environmental impacts. •	Select appropriate tools and methodologies freely\, including selected software or Excel\, to address specific research questions in process optimisation\, business or policy implications. •	Based on the aim of the assessment\, discuss\, identify and rank which factors should be included in a sustainability assessment. •	Be able to engage in the public debate about the sustainability of transitions.  \nCompetences:•	Apply various quantitative sustainability assessment tools and methods to their own data sets\, enhancing their ability to analyze and predict environmental impacts. •	Select appropriate tools and methodologies freely\, including selected software or Excel\, to address specific research questions in process optimisation\, business or policy implications. •	Based on the aim of the assessment\, discuss\, identify and rank which factors should be included in a sustainability assessment. •	Be able to engage in the public debate about the sustainability of transitions.  \nTarget GroupThis course is designed for PhD students engaged in various sectors of the bioeconomy\, particularly those from forestry\, food science\, agriculture\, biotechnology\, and environmental science. It is ideal for individuals interested in sustainable innovation in resource management and technologies within circular economy implementations across these critical areas. Emphasizing resource and emission capture and utilization\, zero waste practices\, and cascade utilization strategies\, the course prepares students to develop and implement circular business models that optimize resource use and minimize environmental impact. The course aims to attract a diverse group of students\, including those in continuing education programs\, who are eager to apply circular economy principles to enhance sustainability in the forest and food sectors\, as well as other related bioeconomic fields. This interdisciplinary approach ensures that participants from different backgrounds can contribute to and benefit from the course\, fostering a comprehensive understanding of circular bioeconomy and promoting practices that lead to more sustainable and resilient bioeconomic sectors. \nRecommended Academic QualificationsParticipants should have a Master’s degree or equivalent. Proficiency in data analysis with tools such as R\, Python\, MATLAB\, SAS\, or Excel is beneficial. A foundational understanding of life cycle thinking or knowledge of LCA is crucial. This background will enable effective engagement with the course’s focus on sustainable resource management and environmental evaluations. \nResearch AreaSustainability \nTeaching and Learning MethodsThe course is conducted through various teaching and learning methods:  \nLectures: To present the fundamentals and applications of quantitative sustainability methods\, such as dynamic carbon modeling and life cycle assessment\, within the context of circular economy principles. Exercises: To train students in applying these methods using a variety of tools\, enhancing their practical skills in sustainability analysis. Case Work: Students are encouraged to bring their own data sets for problem-oriented projects\, applying the learned concepts to real-world scenarios either individually or in collaborative groups. Discussions and Reflections: Regular sessions are held to discuss the opportunities and limitations of sustainability assessment\, fostering a critical understanding of resource management and systems design within various bioeconomic sectors. \nType of AssessmentCourse participation is assessed based on an individually prepared essay/presentation outlining the role of sustainability assessment in their own PhD project and how it could be assessed\, including pros and cons of the chosen method(s). \nLiteratureReading material will consist of a number of scientific papers and/or book chapters which will be made available to students prior to the course. \nCourse coordinatorNiclas Scott Bentsen\, IGN. Marianne Thomsen\, FOOD. \nGuest LecturersThe course will include guest lecture/-s from academia and/or industry\, will share practical insights into sustainability and circular bioeconomy\, enhancing the applicability of course concepts in real-world settings. \nDates10-14 August 2026.  \nExpected frequencyTo be held once every year. \nCourse locationFrederiksberg Campus. \nCourse fee• Participant fee: 0 DKK• PhD student enrolled at SCIENCE: 0 DKK• PhD student from Danish PhD school Open market: 0 DKK• PhD student from Danish PhD school not Open market: DKK 3.000 • PhD student from foreign university: DKK 3.000 • Master’s student from Danish university: 0 DKK• Master’s student from foreign university: DKK 3.000 • Non-PhD student employed at a university (e.g.\, postdocs): DKK 3.000 • Non-PhD student not employed at a university (e.g.\, from a private company): DKK 8.400 \nCancellation policy•	Cancellations made up to two weeks before the course starts are free of charge.•	Cancellations made less than two weeks before the course starts will be charged a fee of DKK 3.000•	Participants with less than 80% attendance cannot pass the course and will be charged a fee of DKK 5.000•	No-show will result in a fee of DKK 5.000•	Participants who fail to hand in any mandatory exams or assignments cannot pass the course and will be charged a fee of DKK 5.000 \nCourse fee and participant feePhD courses offered at the Faculty of SCIENCE have course fees corresponding to different participant types.In addition to the course fee\, there might also be a participant fee.If the course has a participant fee\, this will apply to all participants regardless of participanttype – and in addition to the course fee. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/quantitative-sustainability-assessment-2/
LOCATION:Department of Geoscience and Natural Resource Management
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260706
DTEND;VALUE=DATE:20260711
DTSTAMP:20260728T114833Z
CREATED:20260728T114833Z
LAST-MODIFIED:20260728T114833Z
UID:10001870-1783296000-1783727999@ddsa.dk
SUMMARY:Sustainable Livelihood Systems and Transformations in the Global South
DESCRIPTION:Enrolment guidelines  \nThis is a specialised course where 50% of the seats are reserved for PhD students enrolled at the Faculty of SCIENCE at UCPH and 50% of the seats are reserved for PhD students at other faculties and universities. Seats will be allocated on a first-come\, first-served basis and according to the applicable rules. \nAnyone can apply for the course\, but if you are not a PhD student\, you will be placed on the waiting list until enrollment deadline. After the enrollment deadline\, available seats will be allocated to applicants on the waiting list. \nRequirements for signing upRegistration requirements are a Master’s degree and relevant PhD thesis topic.Please note that all applicants will be placed on the waiting list upon registration.After registering for the course\, please send a maximum 2-page CV to the course coordinator by e-mail latest on 10. April 2026.About one week after registration deadline\, all applicants on the waiting list will be notified whether they are given a seat.Course coordinator: Ole Mertz: om@ign.ku.dk \nAim and ContentUnderstanding and enabling sustainable livelihoods is crucial as rural settings around the globe struggle with increasing climate and environmental challenges even as human development needs remain unmet. Yet rural livelihoods cannot be understood as autonomous practices; they are shaped by a complex interplay of social\, production\, market\, and governance systems and relations. These interact across scales – from international markets and global environmental systems to highly localized livelihood practices and social and environmental conditions. Studying these interactions is therefore both challenging and extremely important for understanding sustainable livelihoods and futures in rural areas across the globe. This course therefore equips students with an understanding of rural livelihood transformations from a systems perspective\, with focus on Global South contexts. It provides insights into how livelihood transformations and outcomes are shaped by social\, environmental\, economic and governance relations and systems. It examines:–	The impact of climate and environmental conditions on livelihood options\, risk and producer perceptions and strategies–	The role of social relations and transformations in shaping livelihood change\, including socio-cultural changes\, rural-urban relations and mobilities–	The role of production and market relations and systems\, including value and commodity chains and access to markets–	The role of governance systems and policies\, including formal state institutions\, programs and practices; de facto governance through\, e.g.\, market and private sector institutions; and producer organization and institutions–	Differentiated social\, environmental and economic outcomes of livelihood transitions and transformations \nThe course provides participants with latest knowledge on these aspects shaping livelihood transformations in the Global South and understanding of how they interact in practice. It also provides analytical and conceptual tools that can be used to analyze livelihood transitions and transformation from a systems perspective\, as well as applied experience using these tools. The course can therefore support PhD students from the early to later stages of the PhD process\, from developing their analytical and theoretical approach to strengthening their analysis. \nLearning outcomesIntended learning outcome for the students who complete the course: \nKnowledge:•	Overall system factors and relations shaping rural livelihood transitions and transformation in Global South settings\, including social\, environmental\, economic and governance aspects•	Empirical examples and applied understanding of systems factors and cross-scalar interactions in practice•	Livelihood transition and transformation outcomes\, including sustainability outcomes from social\, environmental and economic perspectives and differentiated outcomes across socio-economic groups•	Theoretical\, analytical and conceptual approaches for understanding livelihood transition and transformation from a systems perspective \nSkills:•	Identifying systems factors and interactions shaping livelihood transitions and transformations•	Understanding and analyzing the cross-scalar nature of livelihood systems and transitions•	Integrating sustainability and livelihood analyses into broader social\, environmental\, economic and governance systems perspectives \nCompetences:•	Ability to analyze complex\, cross-scalar systems shaping livelihood transitions and transformations•	Critical understanding of the factors shaping sustainable livelihoods and differentiated outcomes•	Ability to apply systems thinking\, including relevant theoretical\, analytical and conceptual approaches\, to studies of rural livelihood and development \nTarget GroupThe course is relevant to all PhD students interested in sustainability\, livelihoods and development in Global South countries. It is suitable for a broad range of academic fields and methodological approaches\, including Geography\, Environmental Science\, Environment and Development\, Area Studies\, and other disciplines where interdisciplinary aspects of livelihoods and sustainability are relevant. It is well suited for students across stages of their PhD – from project development to analysis and writing-up.  \nRecommended Academic QualificationsStudents must possess a Master’s degree to participate in the course and should be enrolled in a PhD programme. If there are interested applicants that do not meet these criteria\, they may apply. However\, applicants meeting the course requirements will be prioritized. \nResearch AreaRelevant research areas include sustainable livelihoods and development; sustainable production systems; agriculture and rural livelihoods; climate change adaptation and resilience; resource management; biodiversity and conservation; market conditions and relations; value and commodity chains; and politics\, governance and institutions.Geography\, Environmental Science\, Environment and Development\, Area Studies\, and other disciplines addressing the interdisciplinary nature of livelihoods\, environment and sustainability. \nTeaching and Learning MethodsTeaching and learning methods include lectures\, applied groupwork and exercises\, and active in-course feedback. \nType of AssessmentAfter the course\, each participant will write up and submit an individual reflection paper. This paper will document and reflect on what each student learns during the course. \nLiteratureLiterature will be defined in collaboration with the international instructors and will be shared with the participants ahead of the course. \nCourse coordinatorOle Mertz\, professor\, Section for Geography – Land\, Environment and Society\, Department of Geosciences and Natural Resource Management. \nGuest Lecturers–	Assoc. Prof. Le Thi Hoa Sen\, Hue University of Agriculture and Forestry\, will provide input on rural transformation with focus on changing livelihood and social relations in areas affected by acute climate risk and resource degradation. –	Prof. Jesse Ribot\, American University\, will provide input on the role of market structures\, relations and governance in shaping rural livelihoods and vulnerability in settings experiencing poverty and climate change.–	Prof. Jonathan Rigg\, University of Bristol\, will provide input on processes of livelihood transitions including coping and resilience\, hazards and disasters\, rural-urban relations\, and migration and mobility.–	Senior Researcher Lily Lindegaard\, Danish Institute for International Studies\, will provide input on sustainable rural transformation from a governance and institutional perspective. \nDatesJuly 6-10\, 2026 \nCourse locationThe course will be held at the Department of Geosciences and Natural Resource Management\, Øster Voldgade 10 1350 København K \nCourse fee• Participant fee: 0 DKK• PhD student enrolled at SCIENCE: 0 DKK• PhD student from Danish PhD school Open market: 0 DKK• PhD student from Danish PhD school not Open market: 3000 DKK• PhD student from foreign university: 3000 DKK• Master’s student from Danish university: 0 DKK• Master’s student from foreign university: 3000 DKK• Non-PhD student employed at a university (e.g.\, postdocs):  3000 DKK• Non-PhD student not employed at a university (e.g.\, from a private company): 8400 DKK \nCancellation policy•	Cancellations made up to two weeks before the course starts are free of charge.•	Cancellations made less than two weeks before the course starts will be charged a fee of DKK 3.000•	Participants with less than 80% attendance cannot pass the course and will be charged a fee of DKK 5.000•	No-show will result in a fee of DKK 5.000•	Participants who fail to hand in any mandatory exams or assignments cannot pass the course and will be charged a fee of DKK 5.000 \nCourse fee and participant feePhD courses offered at the Faculty of SCIENCE have course fees corresponding to different participant types.In addition to the course fee\, there might also be a participant fee.If the course has a participant fee\, this will apply to all participants regardless of participanttype – and in addition to the course fee. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/sustainable-livelihood-systems-and-transformations-in-the-global-south/
LOCATION:Department of Geoscience and Natural Resource Management
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260525
DTEND;VALUE=DATE:20260613
DTSTAMP:20260902T103741Z
CREATED:20260427T114836Z
LAST-MODIFIED:20260902T103741Z
UID:10001807-1779667200-1781308799@ddsa.dk
SUMMARY:Biological IR and Raman Imaging
DESCRIPTION:Enrolment guidelines  \nThis is a toolbox course where 80% of the seats are reserved for PhD students enrolled at the Faculty of SCIENCE at UCPH and 20% of the seats are reserved for PhD students from other Danish Universities/faculties (except CBS). Seats will be allocated on a first-come\, first-served basis and according to the applicable rules. \nAnyone can apply for the course\, but if you are not a PhD student at a Danish university (except CBS)\, you will be placed on the waiting list until enrollment deadline. After the enrollment deadline\, available seats will be allocated to applicants on the waiting list. \nAim and ContentThis advanced imaging course module gives a hands-on introduction to chemical imaging of biological and environmental samples using IR and Raman micro-spectroscopy. In this way\, the course aims to make students capable of integrating IR and/or RAMAN imaging in their projects. Depending on the needs of the enrolled students\, the focus of the course can be broader than only exploiting environmental and/or biological samples. \nThe course gives an introduction to vibrational micro-spectroscopy\, an overview of what can and cannot be detected by these techniques\, and how they complement each other. In the course\, we go through all steps of selecting analysis methods\, sampling\, and preparing specimens\, carrying out measurements\, processing data\, and presenting results. Especially\, we will discuss representability issues for heterogeneous samples\, the spatial and spectral resolutions obtainable\, and the compromises necessary when utilising micro-spectroscopy within research. Instrument demonstrations and hands-on training will be included in the course.  \nLearning outcomesIntended learning outcome for the students who complete the course: \nKnowledge:•	Able to give an overview of the molecular basis of vibrational spectroscopy•	Describe properties and characteristics of infrared radiation•	Describe how molecular vibrations can be detected and quantified by interaction with light \nSkills:•	Read\, understand and evaluate scientific papers that utilize IR and/or RAMAN imaging within the student’s own field•	Design a sampling and sample preparation methodology for vibrational microscopy based on known material properties and known characteristics and limitations of the included methods•	Make a flow-chart of data management from raw IR/Raman image data to analysis and presentation of results \nCompetences:•	Able to describe the difference between IR and RAMAN imaging•	Judge suitability of these imaging modalities to solve scientific questions within the student’s own field of research•	Design a procedure based on vibrational microscopy aimed at addressing a research question relevant to the student’s own field of research \nTarget GroupAll students planning to use IR and/or Raman imaging in their projects. \nRecommended Academic QualificationsOpen for master and PhD students after taking the UCPH’s basic Biological Imaging module (Biological Imaging – Basic Module” (Professor Alexander Schulz\, PLEN)) or if the relevant knowledge was acquired in another way\, e.g.\, through related courses at UCPH or other universities. If in doubt\, please contact lgt@ign.ku.dk. \nResearch AreaRelevant for students within Environmental science\, Material science\, Biology\, Biology-Biotechnology\, Medicine and Technology\, Molecular Biomedicine\, Nanoscience or Pharmaceutical Sciences. \nTeaching and Learning MethodsLectures\, demonstrations\, hands-on practical exercises\, theoretical exercises.Students will prepare samples\, perform measurements\, analyse data and present their work in a written report. \nType of AssessmentWritten report. The report must be evaluated as “passed” for the course to be completed. \nCourse coordinatorLisbeth G. Thygesen \nGuest LecturersTBD \nDates3 last weeks of block 4. \nExpected frequencyTo be held every 2nd year \nCourse locationFrederiksberg Campus \nCourse fee• Participant fee: 1000 DKK• PhD student enrolled at SCIENCE: 0 DKK• PhD student from Danish PhD school Open market: 0 DKK• PhD student from Danish PhD school not Open market: 3000 DKK• PhD student from foreign university: 3000 DKK• Master’s student from Danish university: 0 DKK• Master’s student from foreign university: 3000 DKK• Non-PhD student employed at a university (e.g.\, postdocs): 3000 DKK• Non-PhD student not employed at a university (e.g.\, from a private company): 8400 DKK \nCancellation policy•	Cancellations made up to two weeks before the course starts are free of charge.•	Cancellations made less than two weeks before the course starts will be charged a fee of DKK 3.000•	Participants with less than 80% attendance cannot pass the course and will be charged a fee of DKK 5.000•	No-show will result in a fee of DKK 5.000•	Participants who fail to hand in any mandatory exams or assignments cannot pass the course and will be charged a fee of DKK 5.000 \nCourse fee and participant feePhD courses offered at the Faculty of SCIENCE have course fees corresponding to different participant types.In addition to the course fee\, there might also be a participant fee.If the course has a participant fee\, this will apply to all participants regardless of participanttype – and in addition to the course fee. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/__trashed-142/
LOCATION:Department of Geoscience and Natural Resource Management
CATEGORIES:PhD Course
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20241111
DTEND;VALUE=DATE:20241130
DTSTAMP:20240821T085941Z
CREATED:20240821T085941Z
LAST-MODIFIED:20240821T085941Z
UID:10001335-1731283200-1732924799@ddsa.dk
SUMMARY:From Point to Pixel: A Toolbox for Spatial Analysis and Mapping in Environmental Science
DESCRIPTION:Aim and content \nThis PhD course\, “From Point to Pixel\,” is designed to equip students with the essential tools and skills needed to transform ground truth sample data into high-resolution pixel-level estimates\, which can then be aggregated into comprehensive maps. The primary goal of the course is to provide students with the expertise necessary to quantify the spatial landscape accurately. These maps serve as crucial resources for making informed decisions related to\, for example\, biodiversity conservation or facilitating the transition to a greener society through sustainable forest management. \nKey Course Objectives: \nGround Truth Data Handling: Students will learn how to develop a sampling strategy\, collect\, organize\, and preprocess ground truth observations efficiently. This includes data cleaning\, quality control\, and geospatial data handling techniques. \nAdvanced Modeling Techniques: \nThe course will delve into advanced modeling methods that allow students to establish robust relationships between ground truth observations and remotely sensed variables. This includes statistical modeling\, machine learning\, and geospatial modeling approaches. \nPixel-Level Estimation: \nStudents will be introduced to relevant RS data to be used in combination with ground truthing and machine learning to generate pixel-level estimates\, enabling them to produce high-resolution maps that accurately represent the environmental parameters under study. \nSpatial Landscape Mapping: \nStudents will learn how to aggregate pixel-level estimates into comprehensive maps\, providing a detailed quantification of the spatial landscape. These maps can be used for various applications\, such as assessing habitat quality for biodiversity and estimating available wood resources for a sustainable green transition. \nBy the end of “From Point to Pixel\,” participants will possess a powerful toolbox of techniques and methodologies to produce accurate\, high-resolution maps that aid in biodiversity conservation\, sustainable wood resource management\, and other critical aspects of environmental science. This course equips students with the skills needed to make data-driven decisions and contribute to the development of a more sustainable and environmentally conscious society. \nLearning outcome \nKnowledge: \n\n… of remotely sensed datatypes and their strength and weaknesses.\n… of ground truth sampling designs and methodologies.\n… of methods for statistical modeling\, machine learning\, and geospatial modeling approaches.\n\n Skills: \n\nTo develop sampling strategies.\nTo collect\, organize\, and preprocess ground truth observations efficiently.\nTo generate maps from pixel-based remote sensing.\nTo make data-driven decisions for a sustainable society.\n\nCompetences: \n\nGround Truth Data Handling: Students will gain proficiency in developing effective sampling strategies\, collecting\, organizing\, and preprocessing ground truth observations efficiently.\nParticipants will acquire expertise in employing advanced modeling methods to establish robust relationships between ground truth observations and remotely sensed variables.\nThe course will equip students with the knowledge and skills necessary to utilize remote sensing data in conjunction with ground truthing and machine learning techniques to generate precise pixel-level estimates.\nParticipants will learn how to aggregate pixel-level estimates into comprehensive maps\, enabling detailed quantification of the spatial landscape. This involves understanding spatial patterns and processes\, as well as techniques for synthesizing and visualizing complex geospatial information. \n\nTeaching and learning methods \nA variety of teaching and learning methods are applied to reach the goals of the course: \nLectures: \nWe use lectures to provide students with tools necessary to engage in the practical exercises and project work. \nPractical exercises:  \nThroughout the course\, students will work on real-world case studies and projects to apply their knowledge and skills to solve environmental challenges. \nProject work: \nWe encourage students to bring a case study that they wish to work with during the course. \nType af assessment: \n Written assignment on own project or project handed out by the course responsible must be completed and approved by the course responsible. \nThere will be a course fee of DKK 700. The fee covers a course dinner during the lecture week and snacks\, fruit\, and coffee/tee served during course days. Lunch will be self-organized. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/from-point-to-pixel-a-toolbox-for-spatial-analysis-and-mapping-in-environmental-science/
LOCATION:Department of Geoscience and Natural Resource Management
CATEGORIES:PhD Course
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240826
DTEND;VALUE=DATE:20240831
DTSTAMP:20240424T084146Z
CREATED:20240424T084146Z
LAST-MODIFIED:20240424T084146Z
UID:10001172-1724630400-1725062399@ddsa.dk
SUMMARY:Advanced Measurements and Analyses of Greenhouse Gas Fluxes from Soils and Ecosystems (AMAGS)
DESCRIPTION:Aim and content \nIt is critical for environmental scientists to quantify the major sources and sinks of the most important greenhouse gases (GHGs)\, CO2\, CH4 and N2O\, as well as to disentangle the processes involved in GHG production and consumption in terrestrial ecosystems. Such data and knowledge are essential for the development of national and international strategies for improved/optimized land use and climate mitigation. The course aims to teach future researchers how to use the newest\, manual and automated chamber technologies and state-of-the-art analytical tools for measuring and interpreting the GHG exchange between ecosystems and the atmosphere. \nThe chamber method is the most widely used for GHG flux measurements between ecosystems and the atmosphere: However\, manual chamber measurements are time consuming\, which hampers spatial and temporal data coverage and implementation of results in a larger context. Recent development in combining novel chamber designs with real-time GHG analyses now allows for automation of GHG flux measurements leading to a hundredfold increase in the number of measurements per unit of time. This technological development improves the temporal representation and resolution in data\, in turn helping researchers to improve their understanding of the soil and ecosystem processes governing the exchange of greenhouse gases with the atmosphere at temporal and spatial scales previously out of reach. On the other hand\, the much larger data sets produced with automated measurements also creates a need for automating data analytical procedures and quality control.  \nThe course will focus on developing the skill set for post-graduate students in measuring and analyzing the exchange of GHG’s between the soil/ecosystem and the atmosphere using newest chamber technologies. The course will highlight the conceptual\, technological and analytical challenges involved in obtaining the “true” measure of the GHG flux between an ecosystem and the atmosphere and how these data can be used to address fundamental knowledge gaps related to the processes involved in ecosystem GHG production and uptake and potential ecosystem feedback to climate and global changes. \nLearning outcome \nKnowledge:• describe commonly used chamber methods and equipment for measuring greenhouse gas fluxes from soils• demonstrate the field use of the chamber method • discuss theory of sampling design \nSkills:• work independently with the chamber methods under field conditions • evaluate the pros and cons of using specific designs to measure greenhouse gas fluxes• apply the sampling methodology in the field• design a problem-oriented scientific field sampling protocol for greenhouse gas fluxes \nCompetences:• project-oriented group work in the field• choose the correct techniques to obtain a representative flux of greenhouse gases in space and time• analyze field data using graphic and statistical techniques (R software)• synthesize results in a written report \nTeaching and learning methods \nThe student prepares for the onsite course by reviewing current GHG flux literature prior to course start. The course preparation involves e-learning including pre-recorded lectures and a questionnaire\, aimed to form the basis for an active involvement in the specific theoretical and methodological problems\, how to construct a research question and carry out a field sampling design. During the course\, students will be working with hands-on measurements at various field sites and in the lab using different manual and automated chamber measurement systems. The insights from the hands-on exercises will form the basis for classroom discussion and learning. Finally\, the students will perform hands-on analytical work in the classroom using R software on the obtained data in combination with long-term data from automatic chambers. \nThroughout the course\, the teacher team presents lectures covering the central theoretical and practical aspects of the chamber methodology. Lectures interact with class instructions for the theoretical and practical exercises that are in focus on the course. The students will furthermore actively engage in the course by presenting their current PhD projects as well as through group work in theoretical exercises and fieldwork. The course ends with group presentations on a chosen topic covering both theoretical aspects and actual results obtained during the course. Each group further summarizes their work in a written report submitted no later than two weeks after the course presenting and discussing the collected data and results. The participants pass the course after approval of their written report no later than 2 weeks after submission.  \nType of assesment \nThe course is finalized by a written report submitted max. 14 days after the course. \nGuest lecturersJohannes W.M. Pullens is assistant Professor at Dept. of Agroecology at Aarhus University. He is involved in the AnaEE Denmark research Infrastructure and works with both eddy covariance and chamber measurements to measure exchange of CO2\, N2O and CH4 of agrosystems. He will contribute with lectures in lecture room and in the field as well as to practical exercises throughout the week of the course. \nSander Bruun (assoc prof) and Azeem Tariq (assist prof) from Dept. of Plant and Environmental Sciences at University of Copenhagen are also involved in AnaEE Denmark activities with measurements of GHG exchange in agricultural systems. They will participate with lectures and be responsible for the field visit to the Højbakkegård site during the course. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/advanced-measurements-and-analyses-of-greenhouse-gas-fluxes-from-soils-and-ecosystems-amags/
LOCATION:Department of Geoscience and Natural Resource Management
CATEGORIES:PhD Course
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