Tilburg Legend(s): what’s in an icon?

Tilburg is at the heart of a region in the southern Netherlands which has traditionally been very socially innovative. This tradition is celebrated annually during the European Social Innovation Week, recently renamed to the Dear Future week.

The TilburgsAns open source typeface

At the conclusion of this week, the annual Social Innovation Awards are announced. This year’s Runner-Up Award was won by TilburgsAns, a unique initiative by Sander Neijnens and Ivo van Leeuwen, two local graphic designers who developed an open source “typeface for a sans serif city” of letters and icons. From the jury report:

The project especially focuses on Tilburg residents. By using the typeface, they connect with the city and each other. Still, its use is not restricted to Tilburgers alone. Also, people outside of the city can download TilburgsAns and apply it, creating a virtual bond with Tilburg. For the initiators, TilburgsAns is not about city marketing or city branding, but it is an innovative art project with the aim of uniting people through (visual) language. Furthermore, TilburgsAns makes visible – in an innovative way – the material and immaterial heritage of the city via its icons.

This immediately piqued my interest. As you know, I am an ardent believer in the power of visualization and mapping to build, strengthen, and link communities.  Furthermore, I have been a long-time resident of Tilburg, a city I have come – like so many other non-natives – to appreciate over the years as a hotbed of cultural and social innovation.  It is not so much a remarkable city architecture-wise. What makes it such a pleasure to live here are the interesting and compassionate people and the multitude of inspiring initiatives they organize.

On icons

In my CommunitySensor mapping methodology, icons play a crucial role. They are at the core of the visual language, I use to map the linkages and collaborations taking place in community networks. However, for sensemaking between communities, we need standard icons. For example, in the map below of a community network mapping project in Malawi we see how  standard icons act as “conceptual bridges” between two projects, outlining how they have activities, stakeholders, and resources in common.

CommunitySensor standardized community network mapping icons

What interested me so much about the TilburgsAns icon set, is that they are the opposite of standardized icons. Each of the icons is unique, capturing part of that distinctive “sense of Tilburg community”. Together, they define the essence of the city, its people, initiatives and events, sites & sights, and language.

TilburgsAns unique city icons

This contrast between both icons sets and their uses – making connections across communities versus communicating the identity of a city – really got my mind racing. Perhaps, effective community network mapping needs a mix of both: (1) unique community icons to visualize what the community is about, strengthen bonds and ties between community members, and clarify its essence to the outside world – and (2) standardized community mapping icons to catalyze inter-communal sensemaking, collaboration, and “knowledge weaving for social innovation”.

The Tilburg Legend(s) map

Lots of food for thought, here, but instead of going off on an academic tangent, I decided to do something practical to get a better sense of the “deep meaning” of TilburgsAns, and  to make a contribution to the Tilburg commons myself, building on the magnificent work of Sander and Ivo. Instead of just seeing the list of Tilburg icons, why not – literally – put them on the map?

To this purpose, I created two Google maps, the English Tilburg Legend(s) map and the Dutch Tilburgse Iconen, playing with the notions of legends defining Tilburg both story and icon-wise.

The Tilburg Legend(s) map

On each map, the relevant icons from the TilburgsAns list have been ordered in the categories People, Initiatives & Events, and Sites & Sights. Only the TilburgsAns word-icons without a clear geographical reference have been left out. By hovering over an item in the table of contents on the left hand side, you can see where it is situated on the map. By clicking a table of contents entry or an icon on the map, a brief description is shown, copied from the TilburgsAns entry.  For example, when clicking the icon of Peerke Donders – one of the iconic “sons of the city” –  the following description is shown:

The Google Maps description of the Peerke Donders icon

When next clicking the link within the description, one is taken to the actual TilburgsAns page for that description, which – besides that text – also shows the full-size icon, plus links to further information:

The TIlburgsAns description of Peerke Donders showing both the enlarged icon and links to further information.

Like so many things in social innovation, this mapping experiment  is only a work-in-progress. The map is far from complete, and comes with many technical limitations, for instance, Google Maps only showing small icons or rather crude descriptions. Still, it has many potential applications, for example in providing a different, off-the-beaten-track view on the city to new residents and visitors.

The experiment also shows how one social innovation may lead to another, in often unexpected ways. Together, these social innovations form a web of catalysts for social change, strengthening our precious common good. In desperate times of societal polarization, alienation, and fragmentation, it is such initiatives that are potent symbols of that there is still much worth preserving and fighting for together.

Growing the Tilburg urban farming community map using Kumu

Introduction: The Tilburg Urban Farming Community

The Tilburg Urban Farmers Community is part of the Urban Farmers for a Liveable Brabant project. The project aims to strengthen and expand the urban farming communities in the cities of Tilburg, Den Bosch and Oss in the southern Dutch province of North Brabant. More precisely, its objective is to “create a larger impact of urban farming on the economy and society in a bottom-up way”. One of its sub-projects, driven by CommunitySense, is to literally map the Tilburg Urban Farming Community.

150316_rootsWhat does it mean to map a community? Traditionally, projects are often evaluated by the concrete deliverables they produce. However, when stimulating the growth and impact of a community or social network, this is too limited a measure. Just as important, if not more important, are the relations and interactions which emerge “below the surface” among the community members themselves and between them and their stakeholders. To stick to farming metaphors: in bamboo and other grasses it is not so much their shoots (”the products”), but especially the densely branched root system (”the relations and interactions”) which matter for future growth and impact.

The tool: Kumu

How to visualize this “community root system”? To this purpose, we use the new online tool Kumu. Its motto stresses why this is such a suitable tool for our purpose:

Harness the power of relationships. Kumu gives you the tools to track, visualize, and leverage relationships to overcome your toughest obstacles.

The essence of Kumu is that you make a map consisting of elements (e.g. activities like “projects” and their “results”) and connections (relations and interactions like “informedness” or “involvement”) between the elements. On the map, you can define different perspectives, in which Kumu only shows those elements and connections which interest you at that moment. To define perspectives, you can apply specific decorations and apply various kinds of foci and filters.

In this way, the whole being larger than the sum of its part can be shown (the total map), while it is also always possible to just display the particular part of the map most relevant to a particular stakeholder in the most effective way (a perspective). For example, an organization may be especially interested in its direct links with the activities in which it is involved in the community. Kumu therefore allows for only a partial map to be shown by applying a specific focus or filter to the total map.

Mapping the Community

Our set of core elements and connections, as well as their visualizations in Kumu, keeps evolving, driven by the developing applications of the community map.

Community Elements

Elements can be visualized by their own colors, icons and sizes. At the moment, we distinguish the following types of elements:

Participants:
Persons
Organizations
Communities
Roles that participants can play
Activities (dynamic process outcomes, e.g. “Organizing a Lunch”)
Results (static product outcomes, like “Exhibition Stand”, “Report”. NB activities are outcomes as well, but being processes, activities can generate other processes and results and are a direct source of community growth)
Tools that can be used to support activities:
Online Tools (e.g. Urban Farmers for Liveable Brabant-app, participant websites)
Physical Meetings (e.g. bilateral meetings, network meetings and lunches, workshops)

Community Connections

The essence of communities is not so much formed by these elements on their own, but by the kind,  quality, and number of connections that emerge between them. In increasing degree of involvement, we distinguish the following basic kinds of connections:

  • Informedness (”Geïnformeerdheid”): being informed about activities of the community, but not being part of it.
  • Membership (”Lidmaatschap””): being an explicit member of the community in the sense of having made a commitment to particpate
  • Involvement (”Betrokkenheid”): actual participation in the activities of the community
  • Producing (”Heeft Resultaat”): visible/measurable results produced

In Kumu, connections can be visualized by the combination of type, color, and width of their lines. For example, we represent Informedness by a thin blue line, whereas Producing is shown as a thick red line, indicating its much higher community-building contribution.

The community map

The community map consists of the total set of elements and connections representing the community. A snapshot of this map looks like this:
150316_StadseBoeren

For the latest “(a)live” version of the community map click here.

So many perspectives…

One of the most powerful features of Kumu is its ability to create and share advanced perspectives on the map. One feature is that the tool allows you to focus on particular elements. A useful property of focus-perspectives is that they can be shared as a link, so that by clicking it, one can always see the latest live version of these perspectives. Some examples:

Another type of perspective consists of filtering out particular elements and connections. For example, it could be useful to community managers to get a bird’s eye view just of which organizations are participating in what activities. This means going to the filter-menu and selecting only the checkboxes for the Organisation (”organisatie”) and Activity (”activiteit”)-elements and the Involvement (”Betrokkenheid”)-connection:

150316_filter perspective

Filter-views cannot be shared as links (yet), so they need to be manually configured every time one wants to see this perspective. (Part of) the resulting perspective is the following:

150316_filter perspective2

One can now easily see that several organization act as natural “bridges” between two main community activities, making them likely candidates to involve in organizing a joint event between those activities, for example.

So many applications…

This short introduction is not supposed to be exhaustive, but to inspire and get readers to think about finding other creative and effective ways to use community visualization tools. There are many other interesting Kumu features and ways to use them. For example, there is a whole array of “metrics”. The Degree-metric, for instance, gives an indication of which participants are likely to be local hubs and connectors within the community. Like filters, metrics also cannot yet be shared as links. Instead, they can be accessed by clicking the metrics-symbol at the bottom of the map: 150316_metrics

A community map is never finished and needs to be updated regularly. However, community mapping is not just about collecting the data and creating the map. Just as important, a community needs to think how to read and use it. Additional perspectives and uses will be developed as the community mapping requirements become clearer and new Kumu functionalities become available. Spin-off experiments have already emerged, like an initial map of the community network of Science Hub Brabant and a map-in-progress of the urban farmers network in the city of Den Bosch.

All of this has inspired me to think hard about how to turn such experiments into a real “participatory community mapping methodology”. Plenty of inspiration for future research & development…

LinkedIn Maps: art or science?

LinkedIn is a great resource for exploring professional profiles. However, when your personal social network starts to grow into the hundreds of contacts, it becomes very hard to – quite literally – still see the bigger picture. One feature that can help you visualize your network is LinkedIn Maps. It both shows the links between your connections and color-codes major clusters that are rough approximations of the various professional and personal worlds you move around in. You can zoom in and out, and select individual contacts to see which persons you know they are also connected to.

Of course, it makes for pretty art. However, the maps can also be useful. First, they give you a quick sense of the roles you play in your social world, through the colored sub-networks. Another use is to find out which people who you think don’t know one another, in fact are acquainted.

My LinkedIn Map – Overview

To give you an idea of what LinkedIn Maps is about in practice, here are some of my own maps. First, the total overview, showing the “regions of my personal world map” (click on the figures to see the details). For instance, one big region is formed by my local Tilburg connections, other regions by my Tilburg University research contacts, my international Community Informatics research connections, etc.

Zooming in on my personal network

The closer the regions are to my own node, and the more densely connected they are, the more they represent my “daily social circles”. When zooming in, the names of individual connections become visible.  The bigger the dots depicting my contacts, the more they are connected to my own contacts, and the more likely we have something in common, if only by knowing the same people.

Zooming in on a close “general connector” who is well connected to many of the people I know across many of my social circles

Finally, by selecting particular contacts, you can quickly explore which of your contacts in the various regions you share. This can be very valuable information, in, for example, setting up joint projects, selecting network coordinators or community managers who need to act as “spiders in your webs”, and so on. In this figure, I have selected one of my close contacts, and immediately see he is quite evenly connected to all of my “daily networks”. If I were to set up a project involving those networks, he would be a good candidate to ask for assistance.

Zooming in on a “specialized connector” who is well connected to many of the people I know in one particular circle

On the other hand, the contact I selected in this example, is very much connected to many of the people in my subnetwork that I have dubbed my “Tilburg University research network”. So, if I were to set up a joint research project with my former colleagues, he would be one of the persons to talk to first!

Tag clouds on the move

Yesterday, I discussed Wordle. Today, I came across a related tool, TagCrowd:

TagCrowd is a web application for visualizing word frequencies in any user-supplied text by creating what is popularly known as a tag cloud or text cloud.

TagCrowd is taking tag clouds far beyond their original function:

  • as topic summaries for speeches and written works
  • for visual analysis of survey data
  • as brand clouds that let companies see how they are perceived by the world
  • for data mining a text corpus
  • for helping writers and students reflect on their work
  • as name tags for conferences, cocktail parties or wherever new collaborations start
  • as resumes in a single glance
  • as visual poetry

Interestingly, both tools seem to indicate the growing realization that tag clouds have many more uses than their original, narrow application for indicating blog topic frequencies. A good example of the how tools often get used for very different purposes than what they were originally designed for!

Another application of “serious tagging” is not to use one tag cloud for various purposes, but to compare tag clouds.  Lilia Efimova gives a nice illustration of how she compared the tag clouds of her blog posts and a dissertation chapter on the same topic. Another comparison is to see how different tag cloud tools process the same text. Here’s the TagCrowd interpretation of the CommunitySense home page:

Quite a diffferent look and feel from the one provided by Wordle, right? It would be interesting to come up with visualization criteria which provide the best type of tag cloud for the particular purpose for which they are used.

Word (art) clouds

A friend pointed out Wordle to me, which “is a toy for generating ‘word clouds’ from text that you provide. The clouds give greater prominence to words that appear more frequently in the source text. You can tweak your clouds with different fonts, layouts, and color schemes.”

I tried it out with the text on the CommunitySense home page:

Apart from truly being a piece of art and aesthetically pleasing, such “tag clouds ++” should have real business applications. It would be interesting to see how, say, a 100 page report would look like and whether its visualization could help in quickly grasping some of its essential meaning.

Schomer Simpson’s Talk at the 1st Second Life (Inworld) Conference

2007-05-25_161731

Below the gallery that contains the pictures taken by Al Mohr (Second Life) / Aldo de Moor (Real Life) of Schomer Simpson ‘s (Second Life) / Peter Twining’s (Real Life) presentation at the Second Life Best Practices in Education International Conference 2007. The topic was “Using Teen Second Life to Explore Visions of Schome (Not School-Not Home-Schome, the Education System for the Information Age)”. As you can see from the pictures, Schomer/Peter’s talk was very well attended. The issues raised were most interesting and he got lots of questions. The Era of Immersive Online Conferences has begun…

Picture gallery

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