deventerraamwerk

When government wants to store your fingerprints, and it’s ok.

Sometimes it is ok if your government wants to store your fingerprints. Like, when they use them as artwork on city hall.

Last weekend Elmine and I strolled an afternoon through Deventer an old Hanseatic city in the eastern part of the Netherlands. We came across a shop window where a group of people were busy making clay moulds, which had us intrigued.

Deventer Raamwerk

The clay moulds, it turned out, were made from finger prints, to be cast in metal and then used on the facade of the new city hall as window covers/decorations. A project by local artist Loes ten Anscher.

Deventer Raamwerk Deventer Raamwerk

The finger prints are from citizens in Deventer themselves. One in every forty-three, from the city and surrounding villages, from every age, has been asked to provide a finger or toe print, to be cast in metal. The 2.300 prints are cast in metal and used on the newly built city hall. Every metal cast has a number, and the person providing the finger print gets a pendant with that number. They will know where there finger print is on the building, but noone else.

I really love this project, making citizens part of the building where those that provide public service work, and involving them up to the level where they have their fingerprints all over local government. One example where I think government storing my finger prints is actually not so bad!

Big Data for Malaysia and ASEAN

This week I was invited to Malaysia as one of 8 members of the advisory panel on big data to the Malaysian government. The meeting was part of the Big Data Week taking place in Kuala Lumpur where I gave two presentations and was part of a panel discussion. Malaysia intends to become a big data hub for ASEAN countries. To that end it brought well over 2000 people together to discuss big data, and as part of that Richard Stirling (of the ODI) and I were there to highlight the role of open (government) data in that. Next to the conference as part of the advisory panel I met for a day in a closed-door session with MDeC, the agency that is responsible for the implementation of Malaysia’s big data plans. On my own initiative I met with the Ministry for Administrative Modernisation’s planning unit (MAMPU) to discuss the change management and community aspects of becoming a more open government in more detail, and see how that might be tied in with the ongoing efforts of the World Bank’s collaboration with the Malaysian government.

During the conference I gave two presentations. The first on the notion that to make sure that open and big data have a broad impact socially and economically, you need to have a strategy that involves all stakeholders, and move beyond the big company focus the effort currently seems to have. SME’s, civic organizations, and individual citizens play a crucial role, not just bigger corporations and academic institutions who provide the needed skill sets.
In this presentation I looked at half a dozen or so emergent patterns that stand out from all open data stories I’ve been part of in Europe and elsewhere to make that clear.

The second presentation took just one of those patterns: that in ‘open data’ openness is much more important than data, and zoomed in on it, under the title ‘Open data is the biggest data of all’. In this presentation I posited that openness is a necessity in a networked society, to be a visible and thus acknowledged part of the network, that in aggregate open data is bigger than whatever big data set, and that openness hits a large number of factors that make non-lineair impact possible. The type of growth that we promise ourselves from big data, but which itself in reality usually only aims for incremental growth for established players. Our societies however need that non-lineair kick. We need to reason backwards from where we want to see socio-economic impact, to which type of circumstances, such as data availability, and broad inclusiveness are needed to get there.

Finally I did a fun panel debate with Michael Cornwell on the new ethical questions emerging around open data and privacy, where I made a call for more ‘data awareness’ and called upon entrepreneurs to be straightforward to their clients on how they are using data. The way a company deals with the data that describes me and my behaviour is part of my deal and interaction with a company, and any intentional opaqueness concerning data from the company side should be seen as a breach of trust and short-changing the client.

16 Months of Local Open Data

The culmination of over a year of work
Last month we concluded a project that started in November 2013. For the Province of North-Holland we worked with 9 municipalities to help them bring publishing open data into their normal routines.
We celebrated the end of the program with an afternoon conference of 125 participants in Amsterdam, sharing the experiences, the good, the bad, the splendid, the ugly.

The program
The program we designed is based on the notion that making open data part of normal operations requires learning by doing, and learning from others who are doing the same thing. Also by taking time for it, and us helping out on the work floor, you allow more colleagues to get involved as well as see new knowledge settle.
To make sure open data is not something ‘extra’ a government does for others (‘nice to have’) we seek to position open data as a policy tool (‘need to have’), that helps governments to engage with stakeholders and impact their own policy goals.

Four phases
The preparation phase was aimed at finding a number of municipalities to participate. They had to allocate people and time to it, and there needed to be some current local policy issues that provided a possible angle for open data. We talked to about 16 local governments, and in the end 9 joined the program.

Three implementation phases were part of the plan: 1) find internal support, raise awareness, and find a suitable policy topic as context. 2) select and publish data, find initial external stakeholders, 3) engage with stakeholders, help them use the data, and make the publishing process permanent.
In practice these three phases weren’t discreet, but overlapped and never ‘finished’.

plan
the plan

reality
the reality

A year long execution phase
The execution phase of the program started in March 2014, with a high-energy kick-off event where some 60 civil servants and political functionaries participated, and the 9 participating municipalities and the province signed the ‘North-Holland Smarter’ Manifesto. (The manifesto was a beautiful side project by my colleague Frank and our artist in residence Ate: wooden panels with different data visualizations of the region, and laser cutted pixelated shapes of the participating local governments to place signatures on. An afternoon well spent in the local FabLab Protospace)

manifest
the manifesto

The participating municipalities gathered for collective working days 4 times, and in between worked on their own. We helped out with providing guidance, examples and facilitating session and workshop both internally with civil servants, and externally with citizens, businesses and organizations. Each worked around a locally relevant theme, ranging from flash floods to new entrepreneurs in socially disadvantaged neighborhoods, from regional public transport for the elderly and schools, to financial transparency.

In the end most local governments started publishing data (not a small feat for non-urban local governments I’d say), and some moved it towards their line management successfully. A few first examples of seeing the data used exist, and most don’t see the end of the program as the end of their efforts but as the beginning.

Overall we included a few hundred civil servants and several dozen external stakeholders. Some of that work is still ongoing with our involvement, until May.

The final event

eventwork
participants working together at final event

We ended the program with a final event to present our learnings. Some 125 people from across the Netherlands, representing local, regional and national government entities came. We shared what we experienced roughly in the same way the program phases were designed, providing the participating municipalities with ample space to discuss what they had done and learned, what worked and what didn’t work at all. Some presented their data publishing platform, others their next steps, some recounted how they helped learn colleagues use data better themselves, others how settling on a policy theme early didn’t work for them. Entrepreneurs and data re-users talked about how they work with data.

It was a good and informal way to convey the actual work involved and how some things can take more time than thought (usually the social aspects), while others turn out to be much easier than anticipated (usually the technical aspects).

pnhopendata
the municipalities in North-Holland that are publishing open data (image Ruud Smith)

Getting past the hype
Plans and reality never match, and I think our program created the space and time for that to be ok and part of the journey. Our client with the Province said that to her the project was to help people move beyond the hype towards where open data is part of the normal way of doing things, and softening the ’trough of desillusion’ in the hype cycle. Judging by the quotes we collected of participants we succeeded in doing that.

curve
getting past the hype (image Isabel Brouwer)

The Setup

Our friend Peter Rukavina recently posted his ‘setup’, in which he describes his work place, tools and routines. As did Chris Corrigan, a long time blogging connection, with whom we once spend a great afternoon talking and walking through the northern rain forest on the awesome Bowen Island he calls home. I am always interested in how others shape their work days, and what they use, so I thought I’d share my setup as well.

Infrastructure
At home: A simple desk in the very light attic space of our home. It’s about 25m2, white, with one apple green wall plus windows along both lengths, and it has both Elmine’s and my desk, a bookcase and fold-out couch. It looks out over our neighbourhood, so you still see the daily rhythm and can watch out for the mailman or delivery guy bringing a package.
One floor down we have a room with an electrically adjustable standing desk, that Elmine and I both use.

Our home is connected to a fiber optic network, currently delivering 100Mbit symmetrical connection, that we are in the process of upgrading to a 1Gbit symmetrical connection, at the same cost (60 euro/month including tv and fixed line phone).

We live on the eastern border of the Netherlands, within viewing distance from Germany, and my clients are usually in the western part, a 2 hour train ride away, or outside the country. So I spent a large amount (somewhere between 4 and 24 hours per week) of my time in trains, where I travel first class as that comes with power outlets and a bit more room to work.

The Green Land, a company I started with 3 partners is located at Zpot, in Utrecht right in the center of the country. Zpot is a co-working space started by my The Green Land partner Frank, which provides me/us both with landing desks, and more importantly meeting rooms. Membership is 100 euro/month for the company. I hope to be there once a week, but my schedule gets in the way of that easily. We decided last week to all aim to be there on Fridays at least, to increase the amount of time we get to work together.

Hardware
I use a 2014 MacBook Pro, with 1TB ssd and a few other upgrades, bells and whistles. I regard 21st century knowledge work as artisanal, and my laptop is this artisan’s primary tool. I decided a long time ago that trying to save money on the most important tool I work with is nonsensical and something I’ll pay for in frustration.

That laptop when used at the attic desk is connected to a medium Wacom Bamboo pen and touch, a usb keyboard with numerical pad (for the bookkeeping I do myself), and 2 additional screens, resulting in the picture below (although the pen and pad have been replaced since then). Until last year the second extra screen was connected through an Terratec Connect A1 on USB, but with the new laptop I now use a Thunderbolt port and the HDMI port to connect two screens. At the standing desk the laptop is connected to a wireless keyboard.

desk march 2012

For some travel I leave my laptop behind and use an Asus Android tablet with detachable keyboard.

The local network connects to a 2TB NAS that we both use as TimeMachine, and another 2TB NAS we both use as archive disk. It also contains a Sonos bridge that delivers music to speakers in all the rooms in the house.
I run a VPS in a Swiss data center with 30TB storage that serves as off-site back-up and cloud-sync (with versioning).

Next to a HP printer/flatbed scanner, I more often use a Fujitsu Scansnap scanner. That last one is certainly one of the best investments I made. It easily scans everything, double sided, in color and at high speed due to the sheet feeder, and saves to both the file system and Evernote.

An Ultimaker 3D printer is in our ‘standing desk room’. There is also a desk-top laser cutter and CNC milling machine, both of which currently aren’t operational (a lingering item on my todo list).

In the living room a Raspberry Pi serves as (under used) media center and we also have a Nintendo Wii that hasn’t seen much use lately.

I use a Samsung Galaxy S5 phone, and have a 1st gen iPad that has been unused since iOS evolved away from it, as well as a Samsung Galaxy Tab3 that is still in its box and untouched.

While traveling I use a noise canceling headset both on trains and planes, and a Lumix TZ60 camera (although the camera on my phone is quite good and sometimes a speedy alternative). For internet on the road I use a Huawei Mifi, with a monthly 3GB data package that also includes data roaming across the EU (next to the 2GB data bundle and EU roaming on my phone).

Desktop software
My main and daily software tools are Tinderbox (for outlining, mapping, and getting to the point of writing), Evernote (the content part of my outboard brain) and Things (the task part of my outboard brain). LibreOffice for the usual, and Scrivener for longer writes (which talks to Tinderbox).
OwnCloud is what keeps my files synced to the VPS. Smultron for coding / text file editing, and Applescript plus Automator for some routine tasks (such as opening a new project, or populate a checklist for a new speaking gig.) Tweetdeck for a range of Twitter accounts. My VPS runs a script I call ‘Radar’ which is harvesting tweets about specific topics I’m interested in, and presenting me with an overview of URLs mentioned around those topics.

Web software
Owncloud running on my VPS (which has fully replaced Dropbox), including my company’s shared files is always in the background. Flickr for photo online back-up and sharing, with too much of history to move it all to something else. Podio for working with my The Green Land partners, and Slack for emergent work interaction with a team in open hardware. Diigo (with Delicious in the background) for bookmarking. And one that I would very much like to change: Gmail for all mail. I use it webbased for seamless experience with my other devices. This is the one element in my setup I’d like to change, getting out of gmail’s servers. And blogs of course: WordPress and some Drupal sites.

Phone software
Most of the phone apps are there to have access to the same stuff as on my laptop. With some additions for travel: railroad apps for Netherlands and Germany (that also covers most of the rest of Europe), KLM and Amsterdam Airport apps. UberSocial Pro for Twitter, to maintain multiple accounts.
One app I am particularly fond off: LinkBubble. It opens links in the background from any of the other apps (like FB or Twitter), so you don’t break your flow in going through a social media stream. From LinkBubble I can easily share to Evernote, mail, or any other app.

Social routines
I don’t have a lot of regular routines, as my calendar is very different from week to week. I do have a rhythm to my day though, getting up 6:30 and approaching things in various blocks (90min the largest), with focus work in the morning, less demanding stuff in the afternoon. I try to take walks a few times per week when I work from home.

I feel the need to travel a few times each year, to expose myself to different scenes, perspectives and views, so I try to make sure I always have some international work going on. I like to regularly immerse myself in different busy cities, but need the quiet to digest and think things through, and I hate it when I can only just jump from one thing to another without that digestion time. When that happens it makes me ‘forget’ things: last week I was in Kyrgyzstan and the day before I left we organized a conference with 125 people as end point to a year long project. Because of the work in Kyrgyzstan I mostly forgot about that conference the day before and what it signified. I went through the photos of the event this week to remember and relive and take note of what happened.

Every now and then I smoke a cigar, eat a raw herring, or eat a Hema smoked sausage with mustard when I land at Amsterdam airport.

Elmine and I enjoy traveling together, and enjoy good food. I do the cooking at home. We regularly take time to visit friends in various places, but still I think I see most of them not nearly enough by far. Doing a birthday unconference and bbq as we did last June with ‘Make Stuff that Matters’ to bring a wide diversity of people to our home is how we try to give something to our social network and which is a tremendous source of inspiration to ourselves.

That’s my setup. Yours?

Student’s Six Big Data Lessons

Students from a minor ‘big data’ at the local university of applied sciences presented their projects a few weeks ago. As I had done a session with them on open data as a guest lecturer, I was invited to the final presentations. From those presentations in combination several things stood out for me. Things that I later repeated to a different group of students at the Leeuwarden university of applied sciences at the begining of their week of working on local open data projects for them to avoid. I thought I’d share them here too.

The projects students created
First of all let me quickly go through the presented projects. They were varied in types of data used, and types of issues to address:

  • A platform consulting Lithuanian businesses to target other EU markets, using migration patterns and socio-economic and market data
  • A route planner comparing car and train trips
  • A map combining buildings and address data with income per neighborhood from the statistics office to base investment decisions on
  • A project data mining Riot Games online game servers to help live-tweak game environments
  • A project combining retail data from Schiphol Airport with various other data streams (weather, delays, road traffic, social media traffic) to find patterns and interventions to increase sales
  • A project using the IMDB moviedatabase and ratings to predict whether a given team and genre have a chance of success

Patterns across the projects
Some of these projects were much better presented than others, others were more savvy in their data use. Several things stood out:

1) If you make an ‘easy’ decision on your data source it will hurt you further down your development path.

2) If you want to do ‘big data’ be really prepared to struggle with it to understand the potential and limitations

To illustrate both those points:
The Dutch national building and address database is large and complicated, so a team had opted to use the ‘easier’ processed data set released by a geodata company. Later they realized that the ‘easier’ dataset was updated only twice per year (the actual source being updated monthly), and that they needed a different coordinates system (present in the source, not in the processed data) to combine it with the data from the statistical office.

Similarly the route planner shied away from using the open realtime database on motorway traffic density and speed, opting for a derivative data source on traffic jams and then complaining that came in a format they couldn’t really re-use and did not cover all the roads they wanted to cover.
That same project used Google Maps, which is a closed data source, whereas a more detailed and fully open map is available. Google Maps comes with neat pre-configured options and services but in this case they were a hindrance, because they do not allow anything outside of it.

3) You must articulate and test your own assumptions

4) Correlation is not causation (duh!)

The output you get from working with your data is colored by the assumptions you build into your queries. Yes average neighbourhood income can likely be a predictor for certain investment decisions, but is there any indication that is the case for your type of investment, in this country? Is entering the Swedish market different for a Lithuanian company from let’s say a Greek one? What does it say about the usefulness of your datasource?

Data will tell you what happened, but not why. If airport sales of alcohol spike whenever a flight to Russia arrives or leaves (actual data pattern) can that really be attributed to the 2-300 people on that plane, or are other factors at work that may not be part of your data (intercontinental flights for instance that have roughly the same flight schedule but are not in the data set)?

Are you playing around enough with the timeline of your data, to detect e.g. seasonal patterns (like we see in big city crime), zooming out and zooming in enough, to notice that what seems a trend maybe isn’t.

5) Test your predictions, use your big data on yourself

The ‘big’ part of big data is that you are not dealing with a snapshot or a small subset (N= is a few) but with a complete timeline of the full data set (N = all). This means you can and need to test your model / algorithm / great idea on your own big data. If you think you can predict the potential of a movie, given genre and team, then test it with a movie from 2014 where you know the results (as they’re in your own dataset) on the database from before 2014 and see if your algorithm works. Did Lithuanian companies that already have entered the Swedish market fail or flourish in line with your data set? Did known past interventions into the retail experience have the impact your data patterns suggest they should?

6) Your data may be big, but does it contain what you need?

One thing I notice with government data is that most data is about what government knows (number of x, maps, locations of things, environmental measurements etc), and much less about what government does (decisions made, permits given, interventions made in any policy area). Often those are not available at all in data form but hidden somewhere in wordy meeting minutes or project plans. Financial data on spending and procurement is what comes closest to this.

Does your big data contain the things that tell what various actors around the problem you try to solve did to cause the patterns you spot in the data? The actual transactions of liquor stores connected to Russian flight’s boarding passes? The marketing decisions and their reasons for the Schiphol liquor stores? The actions of Lithuanian companies that tried different EU markets and failed or succeeded?

Issue-driven, not data-driven, and willing to do the hard bits
It was fun to work with these students, and there are a range of other things that come into play. Technical savviness, statistical skills, a real understanding of what problem you are trying to solve. It’s tempting to be data-driven, not issue-driven even if in the end that brings more value. With the former the data you have is always the right data, but with the latter you must acknowledge the limitations of your data and your own understanding.

Like I mentioned I used these lessons in a session for a different group of students in a different city, Leeuwarden. There a group worked for a week on data-related projects to support the city’s role as cultural capital of Europe in 2018. The two winning teams there both stood out because they had focussed very much on specific groups of people (international students in Leeuwarden, and elderly visitors to the city), and really tried to design solutions starting with the intended user at the center. That user-centered thinking really turned out to be the hardest part. Especially if you already have a list of available data sets in front of you. Most of the teacher’s time was spent on getting the students to match the datasets to use cases, and not the other way around.

My Radar, Finding New Sources of Interest

People often ask me how I stay informed, and always seem to know even about smaller initiatives around the topics I work on. Part of that is what I call ‘Radar’. With Radar I automatically collect all the Twitter messages that mention keywords I am interested in, and detect the web addresses they mention. Those web addresses are evaluated on their type (is it a blog, a video, a general site, a presentation, a photo?) and counted as to how often they are mentioned.

runningtotalsradar

Running totals for Radar: found 350k people, mentioning over 1 million URLs


Radar then presents me with overviews of all URLs mentioned on Twitter in the past day, or week, on the key words I follow. This way I find not just the ‘big’ websites, but also the smaller events, initiatives and discussions, that are mentioned by smaller communities. Next to URLs Radar also tracks who is mentioning certain topics, which basically gives me a list of suggestions of who to maybe follow on Twitter, or who’s profile I may want to look at to see if they also blog about the topics I am interested in.

urlmentionsopendata

Most mentioned URLs in 4566 tweets on Open Data in past 24 hours

peoplementioningfablab

The 47 people tweeting about FabLabs today, new people highlighted


What comes out of my Radar then may get added to my feedreader, or to my bookmark collection, or to my notes collection in Evernote. Radar is the serendipity antenna that scoops up a wide variety of things. To me, whatever is being mentioned on Twitter is like the froth on the waves: it is not all that meaningful by itself, but shows me where there is movement and energy of interaction. That points me to the places and people that make up the wave below the froth. Which is where the significant info is.

Radar at first was a bunch of php scripts I wrote myself that ran on my laptop and which I started manually in sequence. My coding skills aren’t all that great though, so ultimately I asked Flemming Funch to clean things up for me. That meant he coded the scripts from scratch, with only my original outline of what I wanted remaining. Now it runs permanently on my VPS with a basic web front-end for me to explore the output (see screenshots).

Using Lime Survey Locally for Self Reflection

I have installed the open source survey tool Lime Survey on my laptop’s local web server, to use it for self reflection.

Through the years I have often journaled and measured various parts of my life, and I track certain aspects of my daily routines for habit forming. Not in the sense of Quantified Self (which is more about measuring things with sensors, like number of steps taken), but along the lines of things I do (did I blog 2 times this week, did I initiate new business contacts). Journaling I’ve done on and off, mostly when I didn’t feel ok, but it takes quite a bit of time to write, and more importantly, the journaling can’t be used to e.g. detect patterns and correlations. So I was looking for a way to combine my normal tracking and measuring with the things I experienced. This can be done by combining capturing personal experiences with asking questions about those experiences and other tracking questions. Using the questions as context and metadata for the experiences, you can then look at patterns across experiences. What you end up with however is not a journal (which you can use a locally hosted blog or physical journal for), nor a list of measurements (which you can use a spreadsheet for), but more a survey with a need to do some statistical analysis on the output. So I needed a survey tool, and given the personal nature of the data, I don’t want to use a service or server where the data is outside my own control.

This is the set-up I now use:

  • MAMP (a package of Apache, MySQL and PHP for Mac), which I already was running for various others things such as a locally hosted blog, test environments and php scripts I regularly use)
  • Lime Survey installed on MAMP. Limesurvey is an open source survey tool, which allows you to define surveys with a wide variety of questions types (and you can play around with building your own as well).

The survey I created, and will be testdriving in the coming weeks, has three distinct question blocks. A block asking questions about what happened during the day and stood out, and why it stood out for me. A block with more mindfulness oriented questions on how I felt in the here and now. A block about my current outlook. All in all a mix of qualitative and quantitative elements. Self administered participatory narrative inquiry of sorts, so I’ve dubbed it self-pni. Let’s see if it provides some insights in the coming three months.

man in mirror
Looking at the man in the mirror with Lime Survey

The 2014 Tadaa! List

Another year is coming to a close, so keeping up with my tradition of the last few years (since 2010, see last year’s edition) I am writing down the things in the past 12 months that gave me a sense of accomplishment or joy. It is often easy to focus on things not achieved, or left unfinished, as those are the things demanding attention. Often I find that in my daily routines I focus on what’s next, and I tend to forget a lot of what I actually did do. Obviously any year also has its hard moments, disappointments and failures. So to remind myself that this year was a full year where things happened that I loved doing or enjoyed (sticking to mostly business related, some personal), here’s the ‘Tadaa!-list’ of 2014

  • With Marc, Paul and Frank, I formally incorporated The Green Land and had our first (temporary) employee
  • Got to work with the supreme audit authority on the Dutch first national ‘Trend report Open Data’, and now working on the next edition
  • Did an open data workshop with the Dutch and British supreme audit authorities with an audience of all European audit authorities, as well as a study day with the Belgian and Dutch audit authorities. Impressed with their dedication and professional attitude. (It does of course help clarity, if your mission statement is in the constitution)
  • Worked for the Flemish Chancellary on open data scenario’s for their consolidated database of laws and regulations
  • Explored internet security and privacy in more detail, geeking out on running my own cloud in a Swiss datacenter
  • Spent a week and a half in Berlin with Elmine exploring and learning, visiting conferences like Things Con and Re:Publica, while also spending time just hanging out with fun people locally

    Out of comfortzone behind a sewing machine
  • Got to (finally!) visit Gabriela and Ray in Limerick where Elmine and I both presented at 3D Camp at the University of Limerick
    @ the beach
    With Gabriela, Ray and Elmine on an Irish beach
  • Presenting with Ernst and Elmine at Sia’s retirement farewell party, and feeling the lasting impact, emotion, and energy of our work together in Rotterdam 2007-2009, reconnecting to several team members. It is a rare treat to get to see the ripples of a (personal) change process years on like that. I was honored by your invitation, Sia.
    L1020751
    Cocreated Sia’s Lifehack Calendar with party participants
  • Stepped out of a large tendering process that could have provided for 3 years because it felt all wrong, realizing I can’t stomach the opportunists who aren’t really interested in delivering value, just feeding at the trough
  • Quit working on a company I was helping establish, even though it has loads of potential (realistically more than my other activities even), because I needed to free up thinking time and shed energy sinks
  • Worked in France, Belgium, Switzerland, Germany, Denmark, Netherlands, Kazachstan, and Kyrgyzstan, enjoying the differences in stories, experiences, perspectives and outlooks that it provides
    In Bishkek, Kyrgyzstan
    Bishkek, Kyrgyzstan, against mountains
  • Spent a thoroughly enjoyable and relaxing summer week in a gem of an apartment in Copenhagen with Elmine, just enjoying each other, the sun and the city
  • Organized the Make Stuff That Matters Unconference & BBQ, at our home, bringing friends, clients, peers, family, and strangers together for two exciting days of inspiration, with the outstanding help of the Frysklab team and their mobile FabLab
  • Got to be there with and for friends in good and bad times, which is the definition of being alive and human
  • Taking more time with Elmine to explore exhibits, festivals, such as Gogbot, Dutch Design Week, Rijksmuseum Amsterdam, 3D Print Canal House, Reina Sofia Museum, Smart New World in Düsseldorf, Ai WeiWei in Berlin etc.
    Ai Wei Wei
    Worked on seeing, noticing more
  • Better balanced long term goals and dreams with actions across quarters of the year, yielding improved results.
  • Worked for the World Bank as a senior consultant / external expert on open data readiness
    At GEGF2014 in Astan
    Presenting in Kazachstan at Global e-Gov Forum
  • Got to celebrate the 3 year existence of the local Enschede FabLab which I helped start, still going strong and having yielded a wide variety of amazing projects
  • Knowing we’ve touched people, and made it possible for others to inspire people, with MSTM, based on the beautiful feedback we got, and seeing the ripples propagate in Denmark, Netherlands and Canada
  • Ending the year with a final dinner at a great Swiss restaurant that is closing, in the excellent company of dear friends

My absolute highlight in 2014 was our third birthday unconference in June, Making Stuff That Matters. Not only because of the energy and joy we got from getting to host such an amazing bunch of people at our home, but also because of the things Elmine and I did in the run up to prepare (in Berlin and Limerick e.g.), the help we got doing that (thanks @trox!), the connections we’ve seen grow from it amongst those we invited, and how it is still creating impact months later where participants have taken their own additional steps around making. It was wonderful to create the place and circumstances in which that could happen. We can’t thank all who attended enough for the gift of their participation.


Created with flickr slideshow.

A week in Kyrgyzstan on Open Data

I spent a bit more than a week in Kyrgyzstan, at the invitation of the Kyrgyz prime minister and on behalf of the World Bank, to start an open data readiness assessment and present and facilitate at the Kyrgyz Open Data Days.
Kyrgyzstan is a lower middle income country, with a parliamentary democracy. The people I met are frank, straightforward, and action oriented. Anything longer than 6 months seems to be perceived as long term. This meant that with the right introduction it was possible to arrange meetings with high level officials at short notice. Like arranging a meeting with a deputy minister during lunch for later that afternoon. I did not get to see anything really from the city or the country, except from what I could see from the car that brought me from one office building to another, and from hotel to conference center.

In Bishkek, Kyrgyzstan In Bishkek, Kyrgyzstan
Press coverage of Prime Minister opening the Kyrgyzstan Open Data Days, and my name tag in cyrillic

Towards the end of my stay the Open Data Days took place, for which many other open data people from Moldova, Georgia, Russia, USA, UK, Germany and France came on behalf of the World Bank. It was good fun to meet them, and together we pulled off a good program to kick start open data (also see World Economic Forum blog) in Kyrgyzstan. The Kyrgyz government adopted an e-governance strategy only last week, and open data is part of that new strategy. Our visit was therefore very timely. The first morning was spent explaining open data and sharing experiences with the Kyrgyz prime minister and full cabinet attending, followed by good discussions in the afternoon when we zoomed in on a slightly more practical level. There was quite a bit of press interest, and I had the opportunity to get misquoted in the Kyrgyz press. The second day we did workshops with civil society organizations, and the business community, followed by a developer meet-up in the evening. Two more meetings on the last day completed my program, before the 10 hour flight back home.

In Bishkek, Kyrgyzstan In Bishkek, Kyrgyzstan
Mountainview on a clear morning from my hotel room, and a group photo at the end of the Open Data Days

Bishkek is only a short distance from the mountains (the country’s highest peak is over 7000m), and on clear mornings form a great backdrop for the city. It was a snowy day when I left, so no views of the mountains as the plane took off. Instead I made triple selfies with Victoria from Moldova, and Vitaly from St. Petersburg in departures, as we were on the same flight back. Odd, spending a week 6000km away from home, and more or less no idea where you’ve been. I may return however in January and late spring, both for completing the assessment as well as providing ealry implementation support.

Edible Growth

3D Printed Food II: Edible Growth

While at Dutch Design Week in Eindhoven I came across ‘Edible Growth‘: 3d printed edible pastries.

The interesting part it is that spores of mushrooms and seeds of small plants are printed within a little ‘basket’ of pastry, on the basis of your design. The spores and seeds sprout and grow over a period of five days, and then your little starter is finished. If you let it grow longer it will get richer in taste (more mature mushroom, bigger green plants), allowing for your personal preference. The pastry serves as food source and packaging for the seeds and spores.
What you end up with is an edible item that comes without waste products (no packaging, no left-over material etc.)

The project was conceived by Chloe Rutzerveld. She did it as her graduation project for a bachelor in industrial design at TUe, and in cooperation with TNO, a Dutch research firm. In the past she has worked on other food related projects. Reducing agricultural foodprint, waste streams, and food miles are part of the values she incorporates in her designs.

Edible Growth
Three stages of growth after printing.