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Lunch seminar 16 October 2024 Topic: AI narratives in international environmental politicsWhen: 16 October at 12.00-13.15Where: OnlineSpeaker: Yi hyun Kang Postdoctoral Researcher in Political Science at Lund UniversityModerator: Bibi Imre-Millei Doctoral student, Department of Political Science, Lund UniversitySpoken language: EnglishAbstractArtificial intelligence (AI) is widely discussed across
https://www.ai.lu.se/2024-10-16 - 2026-04-17
Student organisation within The Academic Society in Lund Founded in September 2020 under Akademiska Föreningen, Hub AI is a student-led organization that aims to popularize Artificial Intelligence as a multidisciplinary research field and a useful – if not essential – tool for the future industry leaders. Artificial Intelligence has prompted the emergence of multiple research streams: re-evaluatio
https://www.ai.lu.se/about/partner/hubai - 2026-04-17
UNU Hub – Water in a Changing Environment The United Nations University Hub (UNU Hub) at Lund University 刻意, CC BY-SA 3.0, via Wikimedia Commons Lund University and the United Nations University Institute for Water, Environment and Health (UNU-INWEH) are proud to announce a new collaborative initiative, Water in a Changing Environment (WICE). This unique hub aims to address global water challenges
https://www.unuhub.lu.se/start - 2026-04-17
United Nations University Hub Master’s track in Water Resources Engineering Do you want to change the world?The United Nations University (UNU) Hub Master’s track at Lund University combines studies in master’s programmes with training activities for students to support the implementation of the Sustainable Development Goals (SDGs), in collaboration with staff from the UNU Institute for Water Envi
https://www.unuhub.lu.se/education - 2026-04-17
Research, Development and Innovation Understanding the complex dynamics of water and the environment, the impact of pollution on aquatic life, and the effects of climate change on water resources, human society, and individuals are fundamental to understanding the human-nature system. The strength of our Hub lies in the fact that Lund University is a comprehensive institution with nine faculties,
https://www.unuhub.lu.se/research - 2026-04-17
How can research on water in a changing environment make a difference? The United Nations University (UNU) Hub on Water in a Changing Environment (WICE) is dedicated to ensuring that research benefits society. We believe that impactful research and education must extend beyond academia to influence policy, practice, and public awareness. Our third pillar thus focuses on outreach, advocacy, and cre
https://www.unuhub.lu.se/advocacy - 2026-04-17
For further information, you are welcome to contact our core team. Rolf Larsson Associate professor, TVRL / UNU Hub Director+46 70 965 37 98rolf [dot] larsson [at] tvrl [dot] lth [dot] se (rolf[dot]larsson[at]tvrl[dot]lth[dot]se)Rolf's profile in Lund University's Research Portal Erik Nilsson Associate Senior Lecturer, TVRLerik [dot] nilsson [at] tvrl [dot] lth [dot] se (erik[dot]nilsson[at]tvrl[d
https://www.unuhub.lu.se/contact - 2026-04-17
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https://www.unuhub.lu.se/affiliated-researchers - 2026-04-17
Welcome to the Water Research School The Water Research School was formed to provide research education in water at a high international quality. We offer courses to PhD students and industry. We form a community of PhD students, their supervisors, and collaborators in the water industry in Sweden. We do this through our courses, and in our networking activities and a mentor programme. More about
https://www.waterresearchschool.lu.se/start - 2026-04-17
Spring term Applications of Machine Learning in Water ContextsMicroplasticsFall TermData Analysis in Python and RDrinking Water
https://www.waterresearchschool.lu.se/courses/course-overview-2023 - 2026-04-17
Course planParticipants that are not registered at a University as a Doctoral student can attend the course for a fee of 15 000 SEK (3HP). Course dates20-24 February 2023, in Lund Contact person Course led by Lund UniversityAmir NaghibiAssistant Professoramir [dot] naghibi [at] tvrl [dot] lth [dot] se
https://www.waterresearchschool.lu.se/courses/course-overview-2023/applications-machine-learning-water-contexts - 2026-04-17
Credits: 3 ECTS (+2 optional ECTS)Grade: Fail/PassEnglish name: Applications of Machine Learning in Water ContextsSwedish name: Tillämpning av maskininlärning i vattensammanhangIntended learning outcomes:Upon completing this course, students should be able to:Explain the basics of machine learning (ML) and its applications.Develop ML-based frameworks for modeling water-related issues.Use Python pr
This course is limited to 15 participants, with priority given to doctoral students in the Water Research School and industry participants connected to Swedish Water.Course scheduleCourse planParticipants that are not registered at a University as a Doctoral student can attend the course for a fee of 15 000 SEK (3HP).Course dates22-24 May 2023, in Uppsala Contact person Course led by Uppsala Unive
https://www.waterresearchschool.lu.se/courses/course-overview-2023/microplastics - 2026-04-17
Department of Earth Sciences, Uppsala UniversityCourse Responsible and Examiner: Sahar Dalahmeh-UUImportant datesLast day for registration: 30/4/ 2023Course Introduction: 2/5/2023Course Implementation Part 1: 15/5/2023 (Online) and 22-24/05/2023Course Implementation Part 2: 22-24/05/2023 (Uppsala University; Villavägen 16 Uppsala)ScheduleCourse Introduction (online), 5/02/2023MomentType of momentT
https://www.waterresearchschool.lu.se/courses/microplastics/course-schedule - 2026-04-17
Basic course informationCourse credits: 3 HP/ECTSEducation level: Third cycleGrade: Fail/PassSwedish name: Analys av mikroplast i vatten-, avlopps- och slammatriserEntry requirements: This course is open for PhD students and for participants from the water sector. Practical experience on working in laboratories for water and wastewater analyses will be considered for admission of students. Exper
https://www.waterresearchschool.lu.se/courses/microplastics/course-plan - 2026-04-17
Drinking water is the only food that is delivered to all of our houses and workplaces, on demand, 24 hours per day. This drinking water is produced from either groundwater or surface/lake water through a number of different processes. The focus in this course will be on understanding surface water processes since surface water normally requires more treatment. This water is then distributed and mu
https://www.waterresearchschool.lu.se/courses/course-overview-2023/drinking-water - 2026-04-17
https://www.waterresearchschool.lu.se/start-0 - 2026-04-17
(updated June 30, 2023)Course introductionOctober 23, 2023Time Activity Location 10:00-16:00 Course Introduction (Thomas Petterson, Olof Bergstedt, Catherine Paul) Online (Zoom link will be provided later) First in-person session: GothenburgNovember 8, 2023 Time Activity Location 10:00-12:00 Chalmers12:00-13:00LunchChalmers13:00-15:00 Chalmers15:00-15:15 Afternoon break Chalmers15:00-17:00 Chal
https://www.waterresearchschool.lu.se/courses/course-overview-2023/drinking-water/course-schedule - 2026-04-17
Basic course information Course credits: 3 hpEducation level: Third cycle Grade: Fail/Pass; U/G Subject: Drinking Water Swedish name: Dricksvatten Entry requirements: This course is open for PhD students and interested practioners from the water industry Course examiner: Thomas Pettersson (Chalmers) Course aimsAt the end of the course you should be able to: Understand the importance, usefulness an
https://www.waterresearchschool.lu.se/courses/course-overview-2023/drinking-water/course-plan - 2026-04-17
Learn how to efficiently analyze your data, using scientific tools available in the R and Python programming languages. You can select among four modules to learn and implement the tools which are most useful to you. For detailed descriptions of the modules see the course plans and course schedule.R is a language and environment for statistical computing and graphics, which contains many useful to
https://www.waterresearchschool.lu.se/courses/course-overview-2023/data-analysis-python-and-r - 2026-04-17
