Update from the hackAIR team (March 2017)

Update from the hackAIR team

Things are moving in the background: the different parts of the hackAIR platform are slowly taking shape, and we’re busy planning for pilots and user engagement. What is happening right now in Thessaloniki, Oslo, Amsterdam, Berlin, Athens and Brussels?

Eleftherios Spyromitros-Xioufis (CERTH)    

“We are working on the image analysis module. We are already processing more than 10.000 images daily – efficiency is a big topic at the moment. We have also started displaying them on a map to see how the data is distributed geographically.”

Ilias Stavrakas (TEI)

“We have completed the communication interfaces for the hackAIR open hardware sensors. Our next step is to make the sensor more user friendly and collect user feedback. We’re also still working on the interface with the smartphone app.”

Ioulia Anastasiadou (DRAXIS)

“We are currently developing and testing the main features of the hackAIR mobile app using the new UI designs. Once this is complete, the same features will be implemented for the web – so that the two of them are in line. At the same time we are integrating the different parts of the system (sensors, fusion, image analysis).”

Paulien Coppens (VUB)

We are further exploring the topics of citizens’  engagement and behavioral change related to air quality. We are now creating specific engagement strategies for hackAIR, for which a literature review on engaging citizens for citizen science has already been done. Next step: conducting expert interviews to learn from other experiences in the field.”  

Philipp Schneider (NILU)

“We are working on statistical methods for combining the observations made by the hackAIR users with other data sources such as those from air pollution models. By doing so, we will be able to offer the hackAIR community spatial information about air pollution, even at locations where no recent measurements are available. The core mapping algorithm has already been developed and we are currently working primarily on the communication interface with our observation database and on testing the method with the first incoming real data.”

Inge Jansen (ON:SUBJECT)

“In the communications team, we are preparing for the launch of the hackAIR platform. This means a lot of internal conversations: What materials do we need? Which audiences do we address first? What is the timeline? In addition, we’re building links with stakeholders and related projects, and happily present this newsletter.”

Arne Fellermann (BUND) 

“Air quality has been a fiercely debated topic in Germany for the first months of 2017. Many German cities, in particular the larger urban regions have problems keeping their air quality limit values. BUND is involved locally in many of the cities in question and also runs a court case against the city of Hamburg for not doing enough to clean the air. hackAIR is a great project to raise awareness and involve citizens, so we can’t wait for the pilot project to happen in Germany.

“With BUND we are currently involved in the national discussion on urban air quality. Many German cities, in particular the larger urban regions have problems keeping their air quality limit values and come under increased pressure by court cases to come up with effective plans to reduce air pollution. In February, the city of Stuttgart, Germany’s air pollution capital with its specific topographic situation and a high volume of motorized traffic in the inner city area, had announced that from 2018 onwards it would only allow the newest EURO6 cars into the inner city, prohibiting access for older cars, whenever there is a so-called “Feinstaubalarm”, and alert for exceedances of particulate matter levels. This alert was introduced in 2016 to create awareness and trigger emergency responses. Two other cities, Düsseldorf and Munich, recently had court rulings requiring them to act within a short time-frame to implement effective measures, including bans of dirty cars. These court orders mean that Germany might see more drastic bans for especially Diesel vehicles. BUND is involved locally in many of the cities in question and also runs a court case against the city of Hamburg for not doing enough to clean the air.”

hackAIR’s social media monitoring tool

Keeping track of conversations and finding good people to follow on social media can be hard. Within hackAIR, this task has now become easier: CERTH has developed an easy-to-use web-based tool that enables real-time monitoring and analysis of a variety of popular social media platforms with open APIs (Twitter, Facebook, Google+, YouTube). This helps us discover online communities and accounts related to air quality and track the impact of our dissemination activities on social media.

An air quality oriented collection
An air quality oriented collection

The tool is configured to keep track of content that is posted around specific keywords and/or accounts of interest. In the context of hackAIR, we use keywords and accounts related to air quality but in principle, the tool can be used to monitor any type of keywords and accounts (e.g. the name of a brand and a number of accounts that often post messages related to this brand). Once specific sets of keywords and accounts (“collections”) have been specified the tool starts pulling related content from the social media platforms on a regular basis (every 15-30 mins) and creates a browsable stream of social media items (“feed”).

The feed view also enables filtering of the items by keyword, source(s) (e.g. show only Facebook and Google+ posts), language, topic (facilitated by text clustering methods), type (media/text) and date range. The items can also be ranked by recency (i.e. the most recent posts first) or popularity (e.g. post with the largest number of shares first). In addition, it is possible to filter redundant items (items with nearly identical content).

Browsing through a feed of social media posts around air quality
Browsing through a feed of social media posts around air quality

The feed view provides a useful means of discovering trending and popular social media content related to air quality topics and entities. However, the real power of the tool is the capability to provide quantitative views and statistics about the monitored content. This is exposed through the “dashboard” view, which is illustrated below. The dashboard consists of several “widgets”, i.e. visualization elements that depict a specific piece of information in an easy-to-grasp way. The first row of widgets concerns the activity and impact measurement of the monitored topic in terms of activity (number of posts), user base (number of users posting), reach (number of users reached) and endorsement (number of users liking the posted content). Another widget depicts the contribution of each social media source (Twitter, Google+, etc.) to the overall activity about the topic. A timeline widget illustrates the activity around the most important keywords over time. There are also two map widgets: a) a heatmap widget showing the levels of activity across the globe based on the location of geotagged posts (i.e. when users chose to share the location of their posts), b) a world map depicting the location of users (by geo-parsing the location field that users have entered in their public user profile page). Finally, there is a histogram widget that shows the most active users around the topic and a keyword bubble widget that depicts the most important keywords around the topic.

The tool source code is available on GitHub: https://github.com/MKLab-ITI/mmdemo-dockerized.
For more information contact: Manos Schinas (manosetro@iti.gr) or Symeon Papadopoulos (papadop@iti.gr)

Dashboard offering several statistics and visualizations around air quality.
Dashboard offering several statistics and visualizations around air quality

 

hackAIR’s social media monitoring tool

Keeping track of conversations and finding good people to follow on social media can be hard. Within hackAIR, this task has now become easier: CERTH has developed an easy-to-use web-based tool that enables real-time monitoring and analysis of a variety of popular social media platforms with open APIs (Twitter, Facebook, Google+, YouTube). This helps us discover online communities and accounts related to air quality and track the impact of our dissemination activities on social media.

The tool is configured to keep track of content that is posted around specific keywords and/or accounts of interest. In the context of hackAIR, we use keywords and accounts related to air quality but in principle, the tool can be used to monitor any type of keywords and accounts (e.g. the name of a brand and a number of accounts that often post messages related to this brand). Once specific sets of keywords and accounts (“collections”) have been specified the tool starts pulling related content from the social media platforms on a regular basis (every 15-30 mins) and creates a browsable stream of social media items (“feed”).

 

The feed view also enables filtering of the items by keyword, source(s) (e.g. show only Facebook and Google+ posts), language, topic (facilitated by text clustering methods), type (media/text) and date range. The items can also be ranked by recency (i.e. the most recent posts first) or popularity (e.g. post with the largest number of shares first). In addition, it is possible to filter redundant items (items with nearly identical content).

 

Browsing through a feed of social media posts around air quality

 

The feed view provides a useful means of discovering trending and popular social media content related to air quality topics and entities. However, the real power of the tool is the capability to provide quantitative views and statistics about the monitored content. This is exposed through the “dashboard” view, which is illustrated below. The dashboard consists of several “widgets”, i.e. visualization elements that depict a specific piece of information in an easy-to-grasp way. The first row of widgets concerns the activity and impact measurement of the monitored topic in terms of activity (number of posts), user base (number of users posting), reach (number of users reached) and endorsement (number of users liking the posted content). Another widget depicts the contribution of each social media source (Twitter, Google+, etc.) to the overall activity about the topic. A timeline widget illustrates the activity around the most important keywords over time. There are also two map widgets: a) a heatmap widget showing the levels of activity across the globe based on the location of geotagged posts (i.e. when users chose to share the location of their posts), b) a world map depicting the location of users (by geo-parsing the location field that users have entered in their public user profile page). Finally, there is a histogram widget that shows the most active users around the topic and a keyword bubble widget that depicts the most important keywords around the topic.

The tool source code is available on GitHub: https://github.com/MKLab-ITI/mmdemo-dockerized.
For more information contact: Manos Schinas (manosetro@iti.gr) or Symeon Papadopoulos (papadop@iti.gr)

 

Dashboard offering several statistics and visualizations around air quality

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