pubdate

config/_default/config.yaml

@@ -31,7 +31,7 @@ removePathAccents: true
 
 enableGitInfo: false
 summaryLength: 30
-paginate: 10
+pagination.pagerSize: 10
 enableEmoji: true
 enableRobotsTXT: true
 footnotereturnlinkcontents: <sup>^</sup>

content/collaborate/index.md

@@ -14,6 +14,8 @@ sections:
       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
+      sort_by: 'Date'
+      sort_ascending: false
     design:
       view: compact
   - block: collection

content/collaborate/jobs/_index.md

+---
+title: Open positions
+
+# Listing view
+view: card
+
+# Optional banner image (relative to `assets/media/` folder).
+banner:
+  caption: ''
+  image: ''
+---

content/collaborate/topics/_index.md

+---
+title: Thesis topic ideas
+
+# Listing view
+view: card
+
+# Optional banner image (relative to `assets/media/` folder).
+banner:
+  caption: ''
+  image: ''
+---

content/collaborate/topics/deploy-tracking.md

@@ -7,7 +7,10 @@ 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
+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, computer linguistic/NLP and data engineering skills required for automation;
 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
+date: 2023-09-26
 categories:
   - Thesis proposal
 authors:
   - Max Callaghan
 ---
+We spend a lot of time and money on students 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 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?
+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?