08-27-GS-2 | From Environmental Refugees to Climate (Im)Mobilities -Investigating a changing academic and political discourse (in English) Veranstaltungsinhalte: Since the 1980s debates on so-called “environmental refugees” have resurfaced and inspired a vivid academic and political debate in the UN, EU (…) Veranstaltungsinhalte: Since the 1980s debates on so-called “environmental refugees” have resurfaced and inspired a vivid academic and political debate in the UN, EU and at national security bodies. Within this seminar students will encounter the shifts and changes that marked that debate and learn to reflect on the relationship between academic discourses and changing political landscapes. We will explore the security-focused approaches to “environmental refugees” in the 1980s to early 2000s, the strong voices of migration scholars arguing against mono-causal perspectives of migration; international law scholars’ arguments for/ against broadening the category of “refugee” and finally turn to present-day debates on how migration in the light of climate change can be perceived as an adaptation strategy. Lernziele/Kompetenzen: 1) Understand and explain key concepts in the changing debate on climate change and human migration 2) Identify and critically assess the features of such changing discourses and discuss them in the context of political developments 3) Practice academic skills such as presentations and debates in English 4) Practice how to write a narrative literature review You can find course dates and further information in Stud.IP. | Leonie Tuitjer |
08-27-GS-6 | Introduction to Python Data Analysis and Visualization (in English) The course examines the spatial dimensions of social, economic, and environmental inequalities across the globe. By drawing on interdisciplinary critical approaches, (…) The course examines the spatial dimensions of social, economic, and environmental inequalities across the globe. By drawing on interdisciplinary critical approaches, students will be able to identify the multifarious forms that inequality can take and develop an understanding on how and why social and spatial inequalities might have persisted over time. The themes discussed in this course are the following: inequalities and the labour market, racial and ethnic inequalities, environment inequality, segregation and neighbourhood, poverty and deprivation, as well as immigration and inequality.
By the end of this course, students will be able to: • Critically assess the geographic dimensions of global inequalities and explain how inequality is unevenly reproduced across space. • Understand the difficulties in defining and measuring social and spatial inequalities and apply theoretical frameworks to contemporary issues related to social and economic disparities. • Demonstrate critical awareness of the ways to measure inequalities and deprivation and identify and review the types of data sources that can be used to explore social and spatial inequalities. • Critically consider policy developments/responses to problems of social and spatial inequalities. You can find course dates and further information in Stud.IP. | Dr. Elena Samonova |
08-27-GS-1 | Introduction to R data analysis and visualization for geography and geosciences (in English) The lectures provide an introduction to the R programming language. The focus is on data processing and visualization with the following content:
1. Understand R (…) The lectures provide an introduction to the R programming language. The focus is on data processing and visualization with the following content:
1. Understand R language and navigate the RStudio software 2. R basics: manipulate different data structures: vectors, matrices, dataframes, lists; install code packages and use functions; manage the working directory and its environment 3. Data management: read in, edit, filter, merge and analyse data sets 4. Data visualization with most common graphs (scatterplot, boxplot, bar graph, time series plot); customize graph text and aesthetics. 5. Basic analyses: regression and ordination methods 6. Introduction to packages: ggplot, vegan, rioja.
All content is accompanied by practical exercises (during the course and as homework).
Lernziele/Kompetenzen: The lectures aim is to teach students basic concepts, skills, and tools for working with the R software so that they can develop a basic understanding for working with R and basic analyses for upcoming student tasks. The lectures are designed for those interested in working with scientific data in R You can find course dates and further information in Stud.IP. | Maria Lujan Garcia |
08-27-GS-3 | Real World Labs for Sustainable Futures (in English) The idea of actionable knowledge has become key for research that aims to support sustainability transformation. Such research needs to support equitable futures (…) The idea of actionable knowledge has become key for research that aims to support sustainability transformation. Such research needs to support equitable futures within planetary boundaries to generate synergies and generate innovative solutions between academic, societal and other knowledge systems. “Real World Labs” and kindred concepts such as “Living Labs” are an increasingly popular, inclusive and problem-focused approach to the collaborative and societally effective generation of knowledge. This block seminar explores the range of approaches and their specific features and their relevance and innovativeness in relation to different spatial, political and institutional contexts. There will be group work in relation to the implementation and operation of exemplary real world labs. Lernziele/Kompetenzen: 1) Understand and explain key concepts in sustainability research. 2) Identify and critically assess the features and relevance of Real World Lab type of approaches for key sustainability issues in the Global South 3) Elaborate suggestions for a Real World Lab in a specific context. You can find course dates and further information in Stud.IP. | Marion Glaser |