ecs rebrand

content/authors/finn-muller-hansen/_index.md

@@ -10,7 +10,7 @@ role: Researcher
 
 
 # Short bio (displayed in user profile at end of posts)
-bio: Finn Müller-Hansen works in the group “Applied Sustainability Science” (APSIS) on applications of machine learning and bibliometric analysis on the scientific literature and public as well as political discourse about energy transitions. He is interested in methods from complex systems theory to investigate the interplay of social, economic, and ecological factors in transformations towards a sustainable economy.
+bio: Finn Müller-Hansen works in the group “Evidence for climate solutions” (ECS) on applications of machine learning and bibliometric analysis on the scientific literature and public as well as political discourse about energy transitions. He is interested in methods from complex systems theory to investigate the interplay of social, economic, and ecological factors in transformations towards a sustainable economy.
 
 interests:
   - Machine learning and bibliometry applied to sustainability literature and science-policy discourse
@@ -31,6 +31,6 @@ user_groups:
   
 ---
 
-Finn Müller-Hansen works in the group “Applied Sustainability Science” (APSIS) on applications of machine learning and bibliometric analysis on the scientific literature and public as well as political discourse about energy transitions. He is interested in methods from complex systems theory to investigate the interplay of social, economic, and ecological factors in transformations towards a sustainable economy.
+Finn Müller-Hansen works in the group “Evidence for climate solutions” (ECS) on applications of machine learning and bibliometric analysis on the scientific literature and public as well as political discourse about energy transitions. He is interested in methods from complex systems theory to investigate the interplay of social, economic, and ecological factors in transformations towards a sustainable economy.
 
-In his PhD at Potsdam Institute for Climate Impact Research and Humboldt University of Berlin, he  used network theory and agent-based modeling to study deforestation and land-use change in the Brazilian Amazon.
+In his PhD at Potsdam Institute for Climate Impact Research and Humboldt University of Berlin, he  used network theory and agent-based modeling to study deforestation and land-use change in the Brazilian Amazon.
\ No newline at end of file

content/authors/lina-wallrafen/_index.md

@@ -21,7 +21,7 @@ user_groups:
   - Alumni
 ---
 
-Lina works as a research assistant in the APSIS team and currently assists in the screening for a research synthesis project for the Lancet Countdown on the impacts of climate change on health. 
+Lina works as a research assistant in the “Evidence for climate solutions” (ECS) group and currently assists in the screening for a research synthesis project for the Lancet Countdown on the impacts of climate change on health. 
 
 She is currently pursuing a Master of Public Policy with focus on Policy Analysis at the Hertie School in Berlin and holds a B.Sc. in International Business & Economics from Maastricht University.
 

content/authors/steve-kerr/_index.md

@@ -21,5 +21,5 @@ user_groups:
   - Alumni
 ---
 
-Steve Kerr is a Master of Data Science for Public Policy student at the Hertie School and a Student Assistant at MCC where he supports the APSIS group in researching the intersection of climate change and health. He previously worked at CPC Analytics where he contributed to data science projects for clients such as the World Health Organization. His research interests include global health, climate change, and the provision of public services in the digital age.
+Steve Kerr is a Master of Data Science for Public Policy student at the Hertie School and a Student Assistant at MCC where he supports the “Evidence for climate solutions” (ECS) group in researching the intersection of climate change and health. He previously worked at CPC Analytics where he contributed to data science projects for clients such as the World Health Organization. His research interests include global health, climate change, and the provision of public services in the digital age.
 

content/authors/tim-repke/_index.md

@@ -25,6 +25,6 @@ user_groups:
 
 My main interest is making large heterogeneous corpora accessible for humans.
 During my time at the Humboldt-University and Hasso Plattner Institute I worked on information extraction, text mining, and visualising text corpora in *semantic landscapes*.
-In the APSIS-group, I get to apply my prior more theoretical work in practice to reveal salient patterns in millions of Tweets or thousands of research articles.
+In the “Evidence for climate solutions” (ECS), I get to apply my prior more theoretical work in practice to reveal salient patterns in millions of Tweets or thousands of research articles.
 
 If you are interested to learn more or write your master's thesis with us, feel free to visit [my website](https://repke.eu) or contact me.

content/people/00_group.md

@@ -3,7 +3,7 @@
 block: markdown
 headless: true # This file represents a page section.
 weight: 5 # Order that this section will appear.
-title: APSIS Group Members
+title: “Evidence for Climate Solutions” (ECS) Group Members
 design:
   # Choose how many columns the section has. Valid values: 1 or 2.
   columns: '1'

content/project/nacsos/index.md

@@ -47,7 +47,7 @@ It currently contains many experimental, redundant or unsupported features, and
 
 The part that deals with topic modelling is a fork of Allison J.B Chaney's **tmv** [repository](https://github.com/blei-lab/tmv). It extends this by managing multiple topic models and linking these with various document collections.
 
-NACSOS is research software produced by the APSIS working group at the Mercator Research Institute on Global Commons and Climate Change ([MCC](https://www.mcc-berlin.net/)), and some parts of the repository are instution specific. We are in an ongoing process of generalising, and documenting.
+NACSOS is research software produced by the “Evidence for climate solutions” (ECS, formerly APSIS) working group at the Mercator Research Institute on Global Commons and Climate Change ([MCC](https://www.mcc-berlin.net/)), and some parts of the repository are instution specific. We are in an ongoing process of generalising, and documenting.
 
 Refer to the [documentation](https://github.com/mcallaghan/tmv/wiki/Scoping-Documentation) for a (partial) guide to using the app.