add collab page

README.md

 # APSIS Research Group website
 
 This page is generated with [hugo](https://gohugo.io/) using the [Hugo Research Group Theme](https://github.com/wowchemy/starter-hugo-research-group).
-For more details, on how to use this, check the [wowchemy documentation](https://wowchemy.com/docs/) or [hugo documentation](https://gohugo.io/documentation/).
+For more details, on how to use this, check the [wowchemy documentation](https://wowchemy.com/docs/) or [hugo documentation](https://gohugo.io/documentation/) or the [blox documentation](https://bootstrap.hugoblox.com/blocks/collection/).
 
 Note, that all wowchemy modules are merged into this repository to be independent of future (breaking) changes.
 Furthermore, this simplifies making changes to partials and other parts of the theme.

config/_default/menus.yaml

@@ -13,6 +13,9 @@ main:
   - name: People
     url: people
     weight: 30
+  - name: Collaborate
+    url: collaborate
+    weight: 40
   - name: Publications
     url: publication
     weight: 50

content/collaborate/index.md

+---
+# Files in this folder represent a Widget Page
+type: landing
+
+sections:
+  - block: markdown
+    content: 
+      title: Collaborate with us
+      text: We are always looking for bright minds who want to work with us.
+            If you are interested in what you see (or are inspired by the outlines), get in touch, we may have open positions or are happy to supervise you.
+  - block: collection
+    content:
+      title: Open positions
+      text: We are (almost) always looking for exceptional student researchers. Below you can find a list of currently open positions. Please note, that this list might not be up-to-date.
+      filters:
+        category: Job ad
+    design:
+      view: compact
+  - block: collection
+    content:
+      title: Project ideas
+      text: Here is a list of project ideas that have the potential for a great master thesis...   
+      filters:
+        category: Thesis Proposal
+      sort_by: 'Date'
+      sort_ascending: false
+    design:
+      view: list
+---
+

content/collaborate/jobs/2024_FMH/index.md

+---
+title: Carbon Removal and Innovation Research
+date: 2024-08-20
+categories:
+  - Job ad
+authors:
+  - Finn Müller-Hansen
+summary: "Contribute to data analyses and innovation research in the field of carbon removal as part of the GENIE and State of CDR project"
+---
+[Complete ad](./ad.pdf)
+
+The successful candidate will be located at MCC in Berlin and contribute to the analysis of datasets
+with the aim of better understanding research and development of carbon removal. Depending on the
+project phase and the available skills, this might include:
+* Conduct statistical analyses of complex datasets such as research funding, patenting and
+publication data; 
+* Create data visualizations for scientific publications; 
+* Annotate datasets for validating machine learning models; 
+* Support the writing of publications and reports

content/collaborate/jobs/2024_TR/index.md

+---
+title: Data Engineering and Data Science
+date: 2024-09-30
+categories:
+  - Job ad
+authors:
+  - Tim Repke
+summary: "Create next-generation digital evidence synthesis tools (with AI)"
+---
+[Complete ad](ad.pdf)
+
+We are looking for students to support us in our research endeavours or the maintenance and improvement of our screening platform.
+In our working group at the MCC (soon to be part of PIK) we focus on research syntheses (summarising existing literature on specific topics, e.g. as preparatory work or direct contribution to the IPCC's World Climate Report). Due to the ever increasing volume of publications, we (partially) automate this process with the help of AI. At this point, we have several million articles and several hundred thousand manual annotations on our platform.
+
+Students in our group can choose their work relatively freely based on their interests and expertise: from close monitoring and support for project partners who use our platform (analysing data, automating processes, ...), development of the platform (frontend or backend), to driving forward own projects that improve and evaluate the secure and robust use of ‘digital evidence synthesis tools’ (lots of potential for master's theses ...)
+
+* 8-20h/week
+* TV-Stud III (12.96-13.84€/h)
+* Berlin Schöneberg on the EUREF Campus
+
+If you are interested, get in touch with Tim Repke.

content/collaborate/topics/deploy-tracking.md

+---
+title: Tracking CDR deployments
+date: 2023-10-26
+categories:
+  - Thesis Proposal
+authors:
+  - Tim Repke
+---
+
+Starting with a list of CDR companies (e.g. cdr.fyi, cdratlas, https://carbonplan.org/...) and CDR news (e.g. mailing list), find news articles, grey literature, tweets, … mentioning those companies. Can we extract information such as actual sequestration, projected scale, and investments? Construct a database/knowledge graph of bits of information and sources.
+Useful skills: none for manual feasibility study
+Useful prior knowledge: carbon dioxide removal, media analysis
+Contact: Tim

content/collaborate/topics/gpt-labelling.md

+---
+title: When and how can ChatGPT help us to save hand labeling efforts
+date: 2023-10-26
+categories:
+  - Thesis Proposal
+authors:
+  - Max Callaghan
+---
+
+We spend a lot of time and money on student’s to annotate text data. Some of them are used to train ML text classification models. Can ChatGPT be used to save some of the resources? We have lots of annotated data from previous projects. This can be used to investigate if the task could have been fulfilled with ChatGPT and under which conditions.
+Some playful ideas to investigate: Is ChatGPT temporarily reliable? When prompted with some time (months) in between doe answers vary? Can we use the parameter temperature to estimate the (hidden) certainty of an answer?

content/collaborate/topics/image-analysis.md

+---
+title: Visual metaphors for CDR and/or climate change
+date: 2023-10-26
+categories:
+  - Thesis Proposal
+authors:
+  - Tim Repke
+---
+
+
+
+What images do different media outlets choose for their content on climate change or different CDR methods? Looking at cover images in news platforms or attachments in Tweets (or other social media), run object detection on those and maybe some “mood” measures to compare common themes. Are there common visual metaphors (e.g. natural solutions always with rainforest, other things with smoke stacks or clouds)?
+Useful skills: basic programming to retrieve and manage data and apply image classification
+Contact: Tim

content/collaborate/topics/scaling.md

+---
+title: 'Technology scale up: comparing different growth measures for emerging technologies' 
+date: 2023-10-26
+categories:
+  - Thesis Proposal
+authors:
+  - Finn Müller-Hansen
+---
+
+
+Research questions: Which aspects of technology scale up do different measures highlight? Which aspects of growth trajectories do they focus on? On which indicators are they applicable? How well are they applicable to incomplete and noisy data?
+Useful skills: mathematical modeling, data analysis (curve fitting)
+Useful prior knowledge: innovation, development, scaling and diffusion of emerging technologies
+Related literature: Nemet et al. (forthcoming), Wilson papers, Cherp et al.
+Contact: Finn

content/collaborate/topics/twitter-links.md

+---
+title: 'CDR on Twitter: links to external sources and/or qualitative analysis'
+date: 2023-10-26
+categories:
+  - Thesis Proposal
+authors:
+  - Finn Müller-Hansen
+---
+
+
+## Research questions
+* What links and sources do users share on Twitter about CDR? 
+* What kinds of contents are shared?
+
+## Useful skills
+python scripting for web crawling and data analysis, NLP
+
+## Useful prior knowledge
+carbon dioxide removal, media analysis

content/topics/index.md

-List of research ideas
-Following up from previous APSIS research - for master and student projects
- 	 	 	
-CDR on Twitter: links to external sources and/or qualitative analysis
-Research questions: What links and sources do users share on Twitter about CDR? What kinds of contents are shared?
-Useful skills: python scripting for web crawling and data analysis, NLP
-Useful prior knowledge: carbon dioxide removal, media analysis
-Contact: Finn
-
-Technology scale up: comparing different growth measures for emerging technologies
-Research questions: Which aspects of technology scale up do different measures highlight? Which aspects of growth trajectories do they focus on? On which indicators are they applicable? How well are they applicable to incomplete and noisy data?
-Useful skills: mathematical modeling, data analysis (curve fitting)
-Useful prior knowledge: innovation, development, scaling and diffusion of emerging technologies
-Related literature: Nemet et al. (forthcoming), Wilson papers, Cherp et al.
-Contact: Finn
-
-Learning from REDD+/NbS for CDR 
-(Evie Ackery doing this one)
-Research questions: What lessons can be learned from the literature on REDD+ and/or NbS to advance the deployment of CDR (could focus this, e.g., around specific policies or topics like governance, equity, burden-sharing, scale-up, etc.)? Or maybe a case study as a policy/historical analogue? What did MRV/quantification of emission reductions/removals look like in legacy markets (e.g., CDM)?
-Useful skills: 
-Useful prior knowledge: 
-Related literature: https://royalsocietypublishing.org/doi/10.1098/rsfs.2020.0001
-Contact: Ingrid
-
-Tracking CDR deployments
-Starting with a list of CDR companies (e.g. cdr.fyi, cdratlas, https://carbonplan.org/...) and CDR news (e.g. mailing list), find news articles, grey literature, tweets, … mentioning those companies. Can we extract information such as actual sequestration, projected scale, and investments? Construct a database/knowledge graph of bits of information and sources.
-Useful skills: none for manual feasibility study
-Useful prior knowledge: carbon dioxide removal, media analysis
-Contact: Tim
-
-Visual metaphors for CDR and/or climate change
-What images do different media outlets choose for their content on climate change or different CDR methods? Looking at cover images in news platforms or attachments in Tweets (or other social media), run object detection on those and maybe some “mood” measures to compare common themes. Are there common visual metaphors (e.g. natural solutions always with rainforest, other things with smoke stacks or clouds)?
-Useful skills: basic programming to retrieve and manage data and apply image classification
-Contact: Tim
-
-Other (more technical) proposals: Research Proposals
-
-When and how can ChatGPT help us to save hand labeling efforts
-We spend a lot of time and money on student’s to annotate text data. Some of them are used to train ML text classification models. Can ChatGPT be used to save some of the resources? We have lots of annotated data from previous projects. This can be used to investigate if the task could have been fulfilled with ChatGPT and under which conditions.
-Some playful ideas to investigate: Is ChatGPT temporarily reliable? When prompted with some time (months) in between doe answers vary? Can we use the parameter temperature to estimate the (hidden) certainty of an answer?