#142 several small fixes

content/de/blog/free-and-easy-video-calling.md → content/de/blog/2020-03-31_free-and-easy-video-calling.md

@@ -3,7 +3,7 @@ title: "Free & Easy Video Calling"
 date: 2020-03-31T00:00:00+02:00
 image: "509-video-calling-guide.jpg"
 summary: "Right now, it is more important than ever to stay in contact with friends and family. In this short guide, we compare different free app and web browser video call solutions that are accessible to not as digitalized folks."
-
+slug: free-and-easy-video-calling
 author: 
     name:           "Jasmin und Frie"
     image:          "jasminfrie.jpg"
@@ -66,7 +66,7 @@ All of the solutions in this section require a web cam as well as newer versions
 
 - Skype (Browser/Web version or App)
     - Browser version:
-        - Start meeting [here](www.skype.com) without creating account
+        - Start meeting [here](https://skype.com) without creating account
         - Others can join as guests
         - Microsoft Edge or Google Chrome required, does not suppport Firefox nor Safari
         - Does not work in browser on tablets or smartphones -> need to download app and create an account

content/de/blog/open-cities-ai.md

@@ -21,11 +21,11 @@ meta:
   keywords: "CorrelAid, CorrelAidX, Data Science, DrivenData"
 ---
 
-Several members of [CorrelAidX Berlin](/correlaid-x/berlin) recently took part in the [Open Cities AI Challenge](https://www.drivendata.org/competitions/60/building-segmentation-disaster-resilience/page/151/), hosted by DrivenData and co-organized by [Global Facility for Disaster Reduction and Recovery (GFDRR)](https://www.gfdrr.org/en) of the World Bank. In this post, we will share some learnings of our group effort with the CorrelAid community.
+Several members of [CorrelAidX Berlin](/en/correlaid-x/berlin) recently took part in the [Open Cities AI Challenge](https://www.drivendata.org/competitions/60/building-segmentation-disaster-resilience/page/151/), hosted by DrivenData and co-organized by [Global Facility for Disaster Reduction and Recovery (GFDRR)](https://www.gfdrr.org/en) of the World Bank. In this post, we will share some learnings of our group effort with the CorrelAid community.
 
 ### What are data science competitions?
 
-At a data science competition, a problem sponsor asks the worldwide community to solve a data problem in the best possible way. There are a few platforms that host such competitions, [Kaggle](kaggle.com) being the most famous. [DrivenData](https://www.drivendata.org/competitions/) is a similar platform but has a focus on positive social impact competitions, which motivated our participation as CorrelAiders. In our case, the competition was a binary classification problem: we were provided with drone imagery from major African cities and were asked to classify each pixel in the picture, determining whether the pixel represents a building or not. The long-term goal of GFDRR, the competition sponsor, is to be able to quickly estimate the amount of material damages after a natural disaster (earthquakes, etc.) by comparing the drone imagery before and after the disaster. To find the best classifier, all competitors got a training and a test data set. In the end, we submitted a CSV with predictions on the test set, that is on data that the model has not yet seen, and it was rated in terms of a specific performance metric (in our case, the [Jaccard index](https://en.wikipedia.org/wiki/Jaccard_index)).
+At a data science competition, a problem sponsor asks the worldwide community to solve a data problem in the best possible way. There are a few platforms that host such competitions, [Kaggle](https://kaggle.com) being the most famous. [DrivenData](https://www.drivendata.org/competitions/) is a similar platform but has a focus on positive social impact competitions, which motivated our participation as CorrelAiders. In our case, the competition was a binary classification problem: we were provided with drone imagery from major African cities and were asked to classify each pixel in the picture, determining whether the pixel represents a building or not. The long-term goal of GFDRR, the competition sponsor, is to be able to quickly estimate the amount of material damages after a natural disaster (earthquakes, etc.) by comparing the drone imagery before and after the disaster. To find the best classifier, all competitors got a training and a test data set. In the end, we submitted a CSV with predictions on the test set, that is on data that the model has not yet seen, and it was rated in terms of a specific performance metric (in our case, the [Jaccard index](https://en.wikipedia.org/wiki/Jaccard_index)).
 
 ## Our learnings
 

content/en/blog/free-and-easy-video-calling.md → content/en/blog/2020-03-31_free-and-easy-video-calling.md

@@ -1,6 +1,7 @@
 ---
 title: "Free & Easy Video Calling"
 date: 2020-03-31T00:00:00+02:00
+slug: free-and-easy-video-calling
 image: "509-video-calling-guide.jpg"
 summary: "Right now, it is more important than ever to stay in contact with friends and family. In this short guide, we compare different free app and web browser video call solutions that are accessible to not as digitalized folks."
 
@@ -65,7 +66,7 @@ All of the solutions in this section require a web cam as well as newer versions
 
 - Skype (Browser/Web version or App)
     - Browser version:
-        - Start meeting [here](www.skype.com) without creating account
+        - Start meeting [here](https://skype.com) without creating account
         - Others can join as guests
         - Microsoft Edge or Google Chrome required, does not suppport Firefox nor Safari
         - Does not work in browser on tablets or smartphones -> need to download app and create an account

content/en/blog/open-cities-ai.md

@@ -21,11 +21,11 @@ meta:
   keywords: "CorrelAid, CorrelAidX, Data Science, DrivenData"
 ---
 
-Several members of [CorrelAidX Berlin](/correlaid-x/en/berlin) recently took part in the [Open Cities AI Challenge](https://www.drivendata.org/competitions/60/building-segmentation-disaster-resilience/page/151/), hosted by DrivenData and co-organized by [Global Facility for Disaster Reduction and Recovery (GFDRR)](https://www.gfdrr.org/en) of the World Bank. In this post, we will share some learnings of our group effort with the CorrelAid community.
+Several members of [CorrelAidX Berlin](/en/correlaid-x/berlin) recently took part in the [Open Cities AI Challenge](https://www.drivendata.org/competitions/60/building-segmentation-disaster-resilience/page/151/), hosted by DrivenData and co-organized by [Global Facility for Disaster Reduction and Recovery (GFDRR)](https://www.gfdrr.org/en) of the World Bank. In this post, we will share some learnings of our group effort with the CorrelAid community.
 
 ### What are data science competitions?
 
-At a data science competition, a problem sponsor asks the worldwide community to solve a data problem in the best possible way. There are a few platforms that host such competitions, [Kaggle](kaggle.com) being the most famous. [DrivenData](https://www.drivendata.org/competitions/) is a similar platform but has a focus on positive social impact competitions, which motivated our participation as CorrelAiders. In our case, the competition was a binary classification problem: we were provided with drone imagery from major African cities and were asked to classify each pixel in the picture, determining whether the pixel represents a building or not. The long-term goal of GFDRR, the competition sponsor, is to be able to quickly estimate the amount of material damages after a natural disaster (earthquakes, etc.) by comparing the drone imagery before and after the disaster. To find the best classifier, all competitors got a training and a test data set. In the end, we submitted a CSV with predictions on the test set, that is on data that the model has not yet seen, and it was rated in terms of a specific performance metric (in our case, the [Jaccard index](https://en.wikipedia.org/wiki/Jaccard_index)).
+At a data science competition, a problem sponsor asks the worldwide community to solve a data problem in the best possible way. There are a few platforms that host such competitions, [Kaggle](https://kaggle.com) being the most famous. [DrivenData](https://www.drivendata.org/competitions/) is a similar platform but has a focus on positive social impact competitions, which motivated our participation as CorrelAiders. In our case, the competition was a binary classification problem: we were provided with drone imagery from major African cities and were asked to classify each pixel in the picture, determining whether the pixel represents a building or not. The long-term goal of GFDRR, the competition sponsor, is to be able to quickly estimate the amount of material damages after a natural disaster (earthquakes, etc.) by comparing the drone imagery before and after the disaster. To find the best classifier, all competitors got a training and a test data set. In the end, we submitted a CSV with predictions on the test set, that is on data that the model has not yet seen, and it was rated in terms of a specific performance metric (in our case, the [Jaccard index](https://en.wikipedia.org/wiki/Jaccard_index)).
 
 ## Our learnings