Author: iskandr

I work as strategy director @info.nl, one of the oldest internet agencies in the Netherlands. Based in the heart of Amsterdam, specialized in the creation and realization of online services. Inspired on our models Virtual Warmth and Exploding Website and Realtime Company. I'm educated as Industrial Design Engineer I work since 1994 in digital media as interaction designer, concept developer and strategist. Enthusiastic of the added value of interactiveness and the social power of connected media I advice our client how to transform their products and services into online platforms. My passion lies in how human behavior works and is related to the use of products and services and the interactions with others. Looking for longtime developments and creating these to robust concepts.

The alienating consequences of things that predict

This article is published as chapter of the ThingsCon Report ‘The State of Responsible IoT; Small Escapes from Surveillance Capitalism’, December 2019

Things become networks, autonomous things with their own agency as result of the developments in artificial intelligence. The character of things is changing into things that predict, that have more knowledge than the human where it interacts with. Things are building a new kind of relations with humans, predictive relations. What is the consequence of these predictive relations on the interaction with humans? Will the things that know more than we humans do, help us understand the complex world, or will the things start to prescribe behavior to us without we even know? What is the role of predictive relations in the design practice of the future designer?

This notion of predictive relations is linked to earlier research in the research program PACT (Partnerships in Cities of Things) and the work in the Connected Everyday Lab by Elisa Giaccardi and others. The notion that we will have affective things that draw conclusions from the interaction things have with humans, and combine these with buildup knowledge from the network, is illustrated in the provocation by Iohanna Nicenboim and Elisa Giaccardi called Affective Things.[1]

In a paper (M. L. Lupetti, Smit, & Cila, 2018) we described some near future scenarios how things connect to existing data and cloud services in the smart city and act in concert with people. In a few specific scenarios we sketched how these relations may play out. From a pizza delivery pod that know so much of the background information in combination with historical data on orders, that it can become an affective thing, starting a dialogue on the situation of the person ordering the pizza. She used to order always 2 pizzas but lately the orders became one pizza and combining with other behavior the conclusion is drawn the relationship with the boyfriend of the girl is ended. The delivery pod takes here a new role as good friend, a shoulder to cry on. A role that can do no harm if it stays within the domain of that one interaction. The links to other behavior in other situations indicates though that this is not the actual situation.

Figure 1; a new relation with autonomous things. Illustration by M.L. Lupetti from (M. L. Lupetti et al., 2018)

Another example describes a future public transport situation, based on a system of smaller transport pods that have a flexible route planning for going from A to B. This means that the pods don’t follow fixed routes and the travel time is severely reduced. But there is a catch. The system is not only flexible in the journey mapping, the planning is also taken into account who is travelling and including the social status of the person traveling. The service is there for planning its routes via a combination of actual efficiency in the route and the priorities. Consequence is that the journey time is hard to predict for the individual traveler. Creating more transparency in the decision making is key in building citizen robotic systems that are trusted by human citizens (M. Lupetti, Bendor, & Giaccardi, 2019).

The fundament of this future society

What is defining these systems to happen? The first driver is the digitizing of our world in all aspects. We have deconstructed our cities with increments of buildings or structures into a layered model where the basic layer is the physical layer. On top of that we have a digital layer that is connected to databases and computing capabilities. Entities can be physical or digital, and are using the digital layer to be assembled to a state in a service. This is the fluid assemblage (Redström & Wiltse, 2018). Not only can these assemblages be defined at the moment of use or interact, also the physical layer functions differently. Instead of setting the stage it is a blank sheet with the right components. Kitchin & Dodge described this situation as a Code/space (Kitchin & Dodge, 2011), a space where the digital computing layer has become crucial in defining the functionalities. No computing layer means no functionality. Something that already can be seen in ultimo at an airport. In the deconstructed city the services offered are totally open for interpretation but at the same time the control of that layer is more and more limited to a selective number of players.

The thing itself is changing too into an intelligent artefact. It connects with an existing network, collect real-time data and act proactively. And most interesting, it has a social behavior. These things take their own role in our society, things are citizens.

Predicting and prescripting

That things are becoming networked objects behaving as fluid assemblages is the start. These things can adapt to the data in the network and the interaction with other things and humans. This creates a situation that the thing has more knowledge on possible future developments than the human can have based on the combination of observation and anticipation. Anticipation is here based on knowledge from experience or learned interpretations. If we let loose of a ball we understand it will fall to the ground. When that same ball is an autonomous operating ball[2] it can connect to the network and things start to predict outcomes, it means that it will feed forward on situations we did not anticipate.

The more complex the behavior of the thing is the more anticipation on expected results is steering the interaction. The more complex the thing the more depending we will be on the predictions made.

In the future we will shift continuously between the simulated future and the now. Think on simple examples as the weather app that is predicting rain based on radar data and sensors is ruling our perception of the exception of becoming wet when going outside more than the judgement of the real rain situation. And more specific the example of a Tesla that is predicting an accident and taking the initiative to brake before the first accident is really happening[3].

We are entering here an interesting domain of tension; what is ruling, the predictive system that helps us to understand the complex world, or a system that is prescribing our behavior?

Figure 2: model of predictive relations and how the decentralized system is informing user to make decisions (a) or prescribing behavior (b)

If the things will form a framework for our decisions, will we transfer agency to the system of things? And if we do so, will that limit our own agency? This is no question; we are already put more trust in systems to keep knowledge and remove this knowledge from our memories. Google is the ultimo assistant. And this is an example what dependency entails. The filter bubble has become a recognized concept. What we think is true is depending on what tools like Google present to us.

As soon as we start to experience this disconnect from real world and (pre)scripted life alienation is a possible outcome. We feel disconnected from the devices as the working is more defined in the decentralised system than in the direct working. This even can cause physical unease (Bean, 2019).

A new design space

The interplay of predictions and actions creates a complex interrelated design space. Predictive behavior shapes our mental model on the acting of the thing. At the same time our actions shape the digital model of the thing. In a first model of predictive relations the interplay of the human and the autonomous operating thing is deconstructed into a combination of pattern recognition, interactions with a digital representation of the thing and knowledge from probable futures generated by similar instances in the network.

Figure 3; visualization of the hypothesis of the working of predictive relations

For designers of physical things, the span of control is already extending from the physical instance to the digital service that is incorporated or unlocked via the physical artefact. With the notion of predictive relations there is a need for designing contextual rule-based behavior. The choices made in the design defines the distribution of agency between system, thing and human. Systems of things form an entity on its own and the design is both influencing the system as the things, as it is influencing the interplay of the thing and the human. To deal with this complexity the default acting might be to automate the system behavior with machine learning and AI. But what does that mean for our position in that system. Can we keep a set of responsible rules? We like to work with known knowns and known unknowns[4]. But what is the consequence for the way we design if we need to do this for unknown knowns?

Notes

[1] Read more on the project at https://iohanna.com/Affective-Things-More-than-Human-Design, last accessed 6 November 2019

[2] Art project https://dispotheque.org/en/le-23eme-joueur last accessed 6 November 2019

[3] More on the specific event at https://www.engadget.com/2016/12/28/tesla-autopilot-predicts-crash (last accessed 30 July 2019)

[4] Referring here to a infamous speech by Donald Rumsfeld, US Secretary of Defense speaking in 2002 in a news briefing, see https://en.wikipedia.org/wiki/There_are_known_knowns, last accessed 6 November 2019

References

Bean, J. (2019). Nest Rage. Interactions, 26(May-June 2019), 1.

Kitchin, R., & Dodge, M. (2011). Code/Space, Software and Everyday Life: The MIT Press.

Lupetti, M., Bendor, R., & Giaccardi, E. (2019). Robot Citizenship: A Design Perspective.

Lupetti, M. L., Smit, I., & Cila, N. (2018). Near future cities of things: addressing dilemmas through design fiction. Paper presented at the NordiCHI, Oslo.

Redström, J., & Wiltse, H. (2018). Changing Things : The Future of Objects in a Digital World. London: Bloomsbury Visual Arts.

[1] Referring here to a infamous speech by Donald Rumsfeld, US Secretary of Defense speaking in 2002 in a news briefing, see https://en.wikipedia.org/wiki/There_are_known_knowns, last accessed 6 November 2019

3 Drivers for the Next Decade; and a Look into 2020

Traditionally I look into the next year after the turn towards the new year. This year is a bit different for a lot of people as we are entering a new decade. So is at least the common feeling. What are the roaring twenties of the 21st century? It is the theme for a lot of thinkers (I like this one of Kara Swisher to name just one). However it remains interesting to have a peek into 2020 too and see how it will contribute to bigger changes.

But good to start with a look back to the last decade. Many is said, and I think there is not a discussion on what is the most changing development in tech, and also stretching beyond: the developing of the smart phone as center of everything. I think here it is not so much about features and sizes, but on how it changed the role of tech in our world. More than the introduction of the smart phone in its current form back in 2007 almost simultaneously by Apple and Android, the real breakthrough was the app-system that caters endless possibilities for makers to create new functions for the wearable technology, and the adding of the GPS made into a reality device, a link of our real life and digital life, and that is what turned out to be key. That was the driver for new transformational services, that the phone is now the hub of a huge knowledge graph the internet was already before and our real-life. And that can be linked to the impact of tech now in society, data ecosystem and the root for the current techlash.

In sketching developments in Internet of Things — one of my focus areas of the last decade for sure — I think that the phone is often too much seen as the IoT device in itself, and that this triggers uninteresting concepts where the object gets a remote control in the form of an app. That is however changing. The objects become more intelligent, more part of a product-service system with the phone only as connector to that system, and the first iteration to the edge-computing that became popular the last years. We only just now see the objects become more smart themselves, intelligence is becoming embedded in the objects, think AirPods as poster child. Keep this in mind for the look into the next decade.

So what really changed the last decade is the place of tech in our real-life. Computing was a tool used for specific functions, first word-processing and then with the first iteration of the world wide web as library and communication service. Now we have the possibility to create an app for everything we do. If it is navigating or taking pictures, that glass slab is the center of our personal universe. I don’t know if Steve Jobs had foreseen this when he introduced the iPhone as an integration of three functions: the phone, internet communication device and music player. The real power was the role of the phone as infrastructure for services.

We now see peak smart phone. At least in the form factor. A glass slab to interaction, with computational powerhouse and connectivity. It will be optimized, it will be foldable. It will in essence return to a single purpose device, the window to the system behind it. That system is becoming independent from the smart phone, a development started with the AirPods, HomePods, watches as intelligent touchpoints. Not limited as an Apple-centric development, Google is building a strong foundational infrastructure with services like Duplex and computational photography, and shifting towards more quality in the devices to stimulate different valuations of products that just features. The looks are becoming important.

This will continue, and I think a shift in the relation with the technology we use is key for the coming decade. AI is far away from artificial general intelligence (AGI), robots will not fully taking over humans, that will take more time, and more important, it makes no sense to strive for that. We will extend our human capabilities with technology on a deeper personal level. You can say that in the last decade the phone mainly made the services more intelligent facing towards we as users, in the coming decade the focus will be the human facing outwards. I think there are three drivers:

  1. Boosted humanity. Technology is extending human capabilities. From electric last mile mobility to power to reason. We see also how daily life is now monitored continuously and planned rigorously. This is a feeding ground for the urge of improving/boosting. Doing Bodytec gym, etc. Even developments in DNA sequencing is a form of boosting humans by making it able to create better medicine.
  2. Relations human-nonhumans. In the use of the technology we will not anymore see it as a tool, as a slave if you wish. We will build relations with the intelligent partners, value what they can achieve and respect how they bring a reflection to our own life choices. However the starting point will be boosting the human capabilities, the practice is one of mutual understanding.
  3. Living together with pal-tech. Follow through with this we will (later) not only have this attitude in working together as a relation, we will allow the tech as part of our human systems. First in cities. Cities of things with things as citizens, the research program at TU Delft we run is linked to this.

Describing the third driver feels as if the artificial life, the nonhuman fellow inhabitants could be taking over, a fear that is sometimes expressed in AI ethics. We need to start understanding what the roles are. The first step here is to lose the meme that tech is neutral. We are still the designers of the tech, although we see that tech will become a creative force here too. Like the Spotify design process where the AI is part of the design team initiating new ideas for products instead of being only the ingredient of the end product.

It will be a super interesting decade we will live. But we need to be aware of doing it right. Breaking the power of the big players as the possibilities of an implementation that does not stimulate but harm freedom of living together with the tech, what a system based on the surveillance capitalism creates. A public stack could work, based on open source governance. We need a similar system as the app-store did for mobile; a way to cater creators and makers to build the partnering technology. And based on more human-based values, not economic values. We want objects that live longer. As a necessity to become more sustainable. Without losing the options to update. Fashion that adepts, cars that update, etc. We like to keep our stuff up to date. Phones were fashion items but are now longer around. The inside remains changing.

Looking into one year ahead, we will see in devices that the phones do not change fundamentally. They become more basic in the outside and more intelligent in the inside. The intelligence will be opened up for developers even more, hopefully that is the step Apple can take in the next OS-stack. The AR glasses are not so important, or foldables. More interesting is what is happening in the integration of the intelligence in the infrastructure. The alliance of the big players for an open IoT stack is here a first sign; in 2020 more examples will be introduced, compare IKEA Tradfri. The big boom will be later as the infrastructure is more stable.

Same goes for mobility. As the mobility revolution in the beginning of the 20th century drove developments, the unbundling of physical functions (cars) and infrastructure (engines, software) with the acceleration of electric cars, but also bikes and last mile vehicles (boosted boards, scooters) will continue and yielding for next forms of mobility services in this century.

There is of course happening more than tech. A lot of politics, geo-political changes, risks of serious crashes in both US and China leading to new kinds of internal conflicts. Tech plays here a great role too however. Think only on the surveillance systems in China and the counter attacks by the a new kind of ad-hoc demonstrating.

So to wrap up; we shift from a decade of empowering products and services with computational capabilities towards empowering humans with boosting human capabilities on all levels. For that we will see a further shift from new gadget-like devices towards integrated infrastructures in all things we use. To begin in creating tech that we can modify and hack into our own pals. Where we will build a new type of relations, based on hopefully more human-driven economical systems. Let that be our new-decade resolution. Have a good 2020(s)!

SXSW2019; teaming up with the machines

This was the 7th time that I traveled to Austin to experience the center of the (US) tech world. 2011, 13, 15–19 to be precise. As I always tell fresh attendees: it is not so much about the next new app anymore. SXSW got that name in 2007 when Twitter was launched and in 2009 with Foursquare. After that there was never such an impactful launch. You can however see how certain themes emerge. From social media to blockchain to service design and AI. And like last year AI was the most important trend of this year. Last year and also in 2017 it was more the new possibilities and the discovery what AI actually is and what is a possible future. Now it was much more all about the impact on society. Even without super specific examples.

Ethics and inclusiveness were the key themes. It indicates how much SXSW focuses on the society and the impact of technology nowadays, more than the one-off successes (or failures). It is something Bruce Sterling referred to in his closing remarks on Wednesday: we have entered a world that is ruled by the G-maffia, the GAFAM that is dictating our reality. And our reality is changing, so much is clear.

Truly inclusive

In the panel session that INFO organised together with Philips and UNstudio inclusivity was connected to the smart city, looking into design strategies.
– Design contextually and with equity, letting people make decisions, not just assuming they only want to give opinions
– Good interventions are based on a thorough understanding of the user experience in the eco-system
– All inclusive city processes should include ‘negotiations’ between citizens/users

At SXSW there are always several themes and focus points in parallel. For me the theme I focused on was automation, robotics, relation man-machine and AI. And also what it means for the designer.

There was enough to see and hear about that, as AI was in all other tracks too, it was hard to filter the right sessions even more.

So, before diving a bit more into this, here a TL;DR; a look back in a couple of bullets

  • AI as societal impact, triggering societal questions as key to discuss. As we entered a tech-reality ruled by big tech SXSW will be less on startups and more on impact in society
  • As soon as AI is ready for use, it stops being AI, it starts being a tool or a machine
  • Living with tech needs computational contracts as understanding, and computational design as future of design
  • With AI, computational contracts, etc, we will not design, we will be designed, and need to find the right way to cooperate with the machines
  • To make technology inclusive we need to focus on the outcomes on a different human level and we need to dare to choose if necessary for slow technology. And to quote Bjarke Ingels: don’t follow the dogma of thinking outside of the box, be obsessed by the restrictions
  • Podcasts are the hopeful promise for media
  • Scooters (electric steps) are a nice and handy drive but a huge clutter for the sidewalk when you let competition get loose
New type of roadblock this year to prevent passing of scooters

Social home appliances

There were a number of social robots in the LG house. A few large versions with screen for events, but the most interesting was CLOi, a SocialBot as they call it. This is a handy robot, about the size of a Google Home or Alexa, specially developed for emotional interaction. The design looks a bit like the recently ‘deceased’ Jibo robot.

I saw Jibo for the first time on SXSW, at the time at a presentation by the creator Cynthia Breazeal. It then remained silent for a long time, until last year. Jibo appeared to have been overtaken by the law of the inhibiting lead. The robot was extremely good at displaying human behavior, but not intelligent enough to compete with the Alexa and Google Home. Jibo was also far too expensive.

Interesting how LG follows a similar path in the development of its SocialBot, with the difference that attention is a bit more focused on the eyes than on movements. In the LG house also other automated machines were displayed, such as a beer machine and an ice machine. The SocialBot is not a bone in its own right, but must be seen as an intermediary for household appliances from LG, which of course will all become much more intelligent.

The role of such bots is interesting. I often use the Chinese Nio Nomi car in presentations that has built in a similar interface to shape the contact between functions and occupants.

Relationship between man and machine

A lot of discussion at SXSW is about the relationship between man and machine, our intelligence and AI and the ethical aspects thereof. It is super interesting that Asian companies choose social robotics instead of the more functional way of Amazon or Google Home.

Douglas Rushkoff mentioned the collaboration between robots and non-humans too. Rushkoff has a mission that he calls Team Human; “We don’t need a substitute for real life.” He argues that robots should not be treated as slaves. We must not go back to feudal times, that brings us down as people: “Respect non-human rights.”

It was also discussed in the “Academia and the Rise of Commercial Robotics” panel. We are now on an engineering platform, the next step is to use social science to enable cultural interactions.

Another panel spoke about Active and Passive AI, where passive stands for serviceable AI that you can call to execute an assignment, while Active AI itself takes the initiative. You can deduce from the questions from the audience that people are not completely comfortable with it. In addition to concerns about privacy, there is a great deal of fear that robots and AI will take over the world.

When it comes to applications, it also makes sense to zoom in on ethics. A good example was the last session I attended with Stephen Wolfram, the creator of Wolfram Alpha. This is a computational search engine that is widely used in science and education. Wolfram believes that a new language must be developed, the computational language, and he spoke about computational contracts.

His tool is a smart machine that contains a lot of AI. His story ties in with the discussion about blockchain, so it is not surprising that his talk was called The Future of AI in Blockchain. That title has a high buzzword density, but Wolfram knows what he is talking about. His presentation was therefore not a list of empty words or superficial views. With his tool he showed how we can communicate with machines in a different way.

Computational design

Wolfram was not the only advocate of computational thinking. John Maeda, also a regular SXSW speaker, commented on this during his Design In Tech update and he also writes a book about this: How To Speak Machine Many stories came along in his story, but an important starting point is his focus on Computational Design, a discipline that he puts alongside Classical Design and Design Thinking.

Maeda also makes clear how design changes if you take the dynamics of computer-driven services (of which AI is part) as a starting point. Where Wolfram concentrates on the new language and functions, Maeda is concerned with the impact of AI on design practice. His report on this goes deeply in depth and contains many examples.

Ethics is a theme that was explicitly discussed during SXSW this year, especially when it comes to AI and robots. Both Johan Maeda and Stephen Anderson pointed out, for example, how the designer’s field of work is changing. Not one artefact is the subject of our work, it extends much further. The underlying system is key. Both the DesignInTech report by Maeda and the Framing model by Anderson are recommended for those who want to know more about this.

How are we going to collaborate with AI? How are we going to understand each other. SXSW is much about dangers and the role of robotization and AI, but also about how we will experience our world under the influence of new forms of intelligence, tools and interfaces. It was noticeable that AI is currently high in the Gartner hypecycle. Certainly, last year it was a lot about AI, but then as a concept. This year the relevance was discovered and AI was visible in new services.

War of Cyberpunk

SXSW is the place where you hear new themes for the first time, or where the themes that matter in the coming years are confirmed. As the closing speaker of the interactive festival, Bruce Sterling summarized the state of affairs with a literary statement entitled “War of Cyperpunk”. Sterling concludes that high-tech is now definitely the dominant factor in society.

This has a number of consequences, but one is that there is no room for startups anymore. Whether this is so certain is the question. What is certain is that fewer “things” were shown at SXSW this year. The most important talks were about major changes. Themes such as computational language (the new language that we must learn to speak) and computational design, reflect the change that is taking place. These are developments that call for what Anderson calls a Design 3.0 with which we will relate differently to the things that we design.

This theme coincides in an interesting way with the developments in robotics. It will be another interesting year!

What drives the mobility of the future?

I was invited to wrote another piece on Emerce on the future of mobility. I did not have time to translate it in English, so I share the Dutch version.

Wat drijft de mobiliteit van de toekomst?

Op de rand van het nieuwe jaar is het interessant te kijken wat de drijvende krachten zijn van de nieuwe mobiliteit. Niet alleen voor volgend jaar, maar vooral ook de jaren daarna. Waar zou je op moeten inspelen?

De vraag hoe de mobiliteit van de toekomst eruit komt te zien, stond centraal bij het onderzoeksteam naar de Stad van de Toekomst waar ik deel van uitmaakte dit jaar. Het onderzoeksproject is een initiatief van de BNA (Bond Nederlandse Architecten) en zal begin volgend jaar een publicatie opleveren. Vijf testlocaties in hele land waren de inspiratie om te kijken waar de stad de komende jaren naartoe ontwikkeld. Ons team keek naar Utrecht stadsrand oost, de toekomstige poort naar de Randstad, als de nieuwe zijderoute uit China doorzet. En een beloopbare stad, aangepast op ‘living as a service’.

De trends die ik in dit artikel met je deel zijn niet alleen geïnspireerd op het Stad van de Toekomst-project. Een andere belangrijke achtergrond is het onderzoek dat we doen aan de TU Delft als onderdeel van het programma PACT(Partnerships in Cities of Things), en dan heel specifiek de scenario’s die we ontwikkelden in dit paper: ‘Near Future Cities of Things; Addressing Dilemmas through Design Fiction’ (Lupetti et al, 2018). Dit zijn de acht trends die de mobiliteit van de toekomst beïnvloeden en vormgeven:

 1. Verdichting van de leefomgeving

We leven meer en meer in een verstedelijkte omgeving. De kwaliteit hiervan komt onder druk te staan. We moeten immers steeds meer de ruimte delen. Huizen worden kleiner en zelfs piepklein (‘tiny houses’).

De kosten van ruimte nemen ook sterk toe. De auto heeft nu al geen plek meer in de stad. Letterlijk, de plek wordt te duur. Maar dit gaat ook gebeuren met de footprint van de fiets, wordt voorspeld. We staan inmiddels in de file met de fiets. Door de verstedelijking wordt de ‘last mile’ ook steeds korter en zal die steeds meer te voet worden afgelegd.

 2. Versmelting woon-werk

De trend van flexibilisering van werk zal doorzetten. We kunnen gemakkelijker ‘overal’ werken, onze laptop is ons kantoor. Natuurlijk geldt dit niet voor alle beroepen en wordt in kennisintensieve omgevingen juist veel waarde gehecht aan de samenkomst van teams. Maar die hoeft niet fysiek te zijn.

Hoewel niet iedereen het kantoor verruilt voor de co-working space, zal dit concept toch steeds groter worden. Dit komt mede door organisaties die stoppen met eigen kantoren te bouwen.

In combinatie met de kleinere woningen in stedelijke omgevingen leidt dit niet tot minder woon-werkverkeer, maar wel tot een verandering. Werkplekken zullen zich dichtbij in de stad bevinden, afhankelijk van de geboden verbindingen, en zullen minder 9-tot-5 zijn.

Mobiele werkplekken worden gezien als een belangrijke vorm van toekomstige autonome vervoersystemen. Je ziet nu al dat forenzen die gebruik kunnen maken van goede verbindingen (zoals intercitytreinen) daar ‘kantoor houden’. Als autonome voertuigen technische realiteit zijn geworden, kunnen deze vooral de minder verstedelijkte gebieden goed ontsluiten met woon-werkverkeer op maat, van deur tot deur.

 3. Verandering klimaatsysteem

Klimaatverandering is een serieus probleem. Omdenken van energie- en ook mobiliteitssystemen zijn onderdeel van de oplossing. Met meer zonne-energie en meer elektrische voertuigen zal een betere balans ontstaan. Efficiënter gebruik van het systeem is echter misschien nog wel belangrijker. Snellere treinen worden een serieus alternatief van het vliegtuig, lokale energieopwekking door buurten of bedrijven heel gewoon.

De Nobelprijs voor de economie werd dit jaar onder andere gewonnen door William D. Nordhaus die pleit voor een economisch systeem dat betere inzet van energie stimuleert (het DICE-model: Dynamic Integrated Climate-Economy). De kosten van milieubelasting worden direct doorberekend aan de vervuiler, waardoor het opeens direct waarde oplevert om daar verbeteringen in aan te brengen. Milieuvriendelijk zijn brengt direct economisch voordeel met zich mee. Dit zal eigen verantwoordelijkheid voor energiesystemen stimuleren. Denk aan de Jaarbeurs die nieuwe ontwikkelingen combineert met zonne-energie en opslag, zodat ze niet alleen een hallencomplex exploiteren maar ook een energieproducent worden voor hun gebruikers.

 4. Alles op maat

Het digitaliseren van onze omgeving leidt ertoe dat we gewend raken aan een diverser en gepersonaliseerd aanbod. Van het samenstellen van onze perfecte auto tot 3D-geprinte objecten, maatwerk is gewoon geworden.

Daarbij dringen de algoritmes ons leven binnen. Niet alleen kunnen we dingen op maat laten maken, de dingen en diensten die we gebruiken worden aangepast aan ons gedrag, de kennis van ons profiel en vergelijkbare gebruikers. Persoonlijk aanbod wordt gemaakt op basis van het moment, en van het systeem waarin we ons bevinden.

In het Future Scenarios paper beschrijven we hoe de planning van onze reis in een ‘OV-pod’ wordt geoptimaliseerd op basis van het reisdoel van alle aanwezigen. Je weet niet meer van tevoren hoe lang je over je reis doet, tenzij je betaalt voor extra prioriteit. Een logische doorontwikkeling van huidige systemen, zoals de Intercity Direct, die werken met toeslagen.

Het systeem wordt dus flexibeler. De gebruiker kan er invloed op uitoefenen, maar het systeem creëert ook een realiteit gebaseerd op de specifieke situatie. Het Transparent Charging Station dat als experiment werd ontwikkeld door eLaadNL en Alliander maakt bijvoorbeeld keuzes wie prioriteit krijgt bij het opladen van de elektrische auto en probeert deze afwegingen inzichtelijk te maken.

 5. Van bezit naar gebruik, van single-use naar sharing

AirBNB, Uber en Greenwheels laten al een tijdje zien dat er minder wordt gedacht in bezit. Deze diensten blijken een behoefte te vervullen en er lijkt alleen maar een versnelling te komen. Zo is er een flinke groei zichtbaar van private lease en autodelen, met name onder de jongere doelgroep.

Hoewel nog relatief klein, zijn initiatieven als Snappcar interessant waarbij je de mogelijkheid hebt je eigen auto te delen met anderen. Dit zou heel goed onderdeel kunnen zijn van de aanschaf van auto’s in de toekomst (of beter gezegd, de lease). Deelgebruik is ingebakken. Met de oplaadpunten kan het al, nu nog met de auto’s.

Een interessante ontwikkeling is ook de populariteit van Swapfiets. In studentensteden lijkt een explosie van blauwe voorbanden plaats te hebben gevonden. Blijkbaar is een bepaalde zekerheid en gemak belangrijker dan een eigen identiteit via bezit. De identiteit wordt in andere zaken gezocht.

Het is overigens interessant om te zien hoe de portemonnee verandert onder invloed van deze trends. We hebben meer en meer abonnementen, van telefoon tot Swapfiets en maaltijdboxen. Een trend die lijkt over te waaien uit de VS, waar voor alles een abonnement is af te sluiten.

 6. Code/Space en Internet of Things

Al deze trends zijn het gevolg of de oorzaak van een begrip dat door Kitchin & Dodge Code/Space wordt genoemd. Ook onze fysieke omgeving is aan het omvormen naar code, naar software. Alles wordt verbonden, al onze diensten zijn digitaal en er zijn al plekken die niet meer functioneren als de digitale systemen uitvallen, zoals het vliegveld.

We gebruiken voor onze digitale diensten allemaal de cloud. We verplaatsen onze data naar een altijd aanwezige digitale laag. Deze laag ontstaat ook voor de applicaties. Edge Computing is een belangrijke trend in Internet of Things. Waar we eerst een systeem hadden met een intelligent moederstation en de contactpunten relatief dom waren en puur bedoeld voor ‘sensing & presenting’ van informatie, verschuift de intelligentie naar de touchpoints. En niet alleen in onze telefoons, maar ook in verbonden objecten. De HomePod van Apple is een minicomputer die op basis van sensoren een optimaal geluidprofiel samenstelt op het moment dat je ‘m verplaatst in de ruimte. De Google Clip-camera herkent via machine-learning of een situatie interessant genoeg is om een video-opname te starten. Die opname wordt lokaal opgeslagen.

Met het Internet of Things zijn de dingen de representatie van steeds complexere systemen. De dingen zijn ook de vertaler van ons gedrag. Ze vangen de data om meer kennis te hebben.

Bij ThingsCon liet Ren Yee van UNStudio zien hoe de versmelting invloed heeft op het denken over de gebouwde omgeving. We krijgen niet alleen Code/Space op het gebied van services, maar het ontwerp- en maakproces is steeds digitaler (BIM). Onze gebouwen en steden krijgen een digital twin. Interessant wordt het als de grens tussen simulatie en realiteit vervaagd.

 7. Assisted human

Aanbod op maat en een volledige gedigitaliseerde omgeving. Dat zijn externe factoren die inspelen op ons als mens. Maar de mens zelf wordt ook steeds meer bedreven in het toepassen van de slimme assistent en assistentie. Artificial intelligence zal zich eerst ontwikkelen als augmented intelligence, een methode voor onszelf om beter de complexere problemen op te lossen. We zullen partners worden van intelligente systemen die taken uitvoeren die wij niet of minder goed kunnen doen. Het is al een mooie case dat AI artsen kan helpen om onregelmatigheden op te sporen in scans. Dit laat zich uiteraard ook makkelijk vertalen naar ons complexe leven waarin we onze mobiliteit moeten plannen.

Ook op fysiek gebied is de assisted human een belangrijke ontwikkeling. Dat is nu al te zien in hoe de fiets langzaam maar zeker plaatsmaakt voor de elektrische fiets met trapondersteuning. Het elektrische skateboard en nu ook een soort gemotoriseerde opstaprolschaatsen van Segway zorgen voor verschuivingen in de actieradius van de mens voor de last mile en verder.

Opstaprolschaatsen van Segway

 8. Belang van ethiek

Met het toenemende bewustzijn over technologie en data en de steeds grotere afhankelijkheid daarvan, groeit het besef dat ethiek een belangrijk onderdeel is van de ontwikkeling van de systemen. We kijken kritischer naar wat we willen delen en wat niet. Ook verwachten we van de diensten die we gebruiken en de aanbieders daarachter dat zij daar een positie over innemen. De nieuwe Europese privacyregels (AVG) zijn daar een teken van. Het staat symbool voor een nieuw waardenmodel, los van de praktische invulling.

Daarnaast worden we meer en meer afhankelijk van de systemen die we gebruiken. Deze zijn vaak een black box of op z’n minst niet transparant. Daarin moeten we nieuwe waardepatronen ontwikkelen om te voorkomen dat we ongewenst worden beïnvloed en afhankelijk zijn zonder controle. Robots Should be Slaves schreef Joanna Bryson, in reactie op de gedachte dat AI zijn eigen governance gaat organiseren.

Een nieuwe mobiliteitsconsument

Wat is nu de invloed van deze ontwikkelingen op het gebruik van mobiliteit? Dit is wat er gaat gebeuren:

  • Multimodaal reizen, zowel binnen een reis als over verschillende reizen. Zeker onder invloed van de afname van bezit van vervoermiddelen, gecombineerd met de cultuur van abonnementsdiensten is het veel logischer dat een reis wordt gepland met als uitgangspunt het doel en niet op basis van het vervoermiddel. De NS Businesscard is daar al een voorbeeld van.
  • Slimmer reizen is soms ook niet reizen. Als we doelgerichtrt zijn, kan een uitkomst ook zijn dat een reis niet nodig is. Het werk opdelen in taken thuis, op een rustige plek in de stad op loopafstand of op een plek waar je samenwerkt met collega’s. Mobiliteitsaanbieders zijn dan ook niet alleen vervoeraanbieders, maar aanbieders van de combinatie van planning en reis. Als je met drie mensen 1 uur als team wil werken kan de oplossing een mobiel kantoor zijn of een plek in een co-workingspace van een station.
  • Reizen als lifestyle. Mobiliteit is meer dan doelgericht van A naar B. En meer dan de ervaring en gebruik bij b. Soms is de reis zelf ook onderdeel, als invulling van het doel zoals hiervoor beschreven, maar ook de experience op zich. Misschien wil je geïnspireerd worden door nieuwe omgevingen en ontmoetingen of juist een meditatiesessie kunnen doen. Plan het aantal calorieën dat je wil verbranden en de vervoersmiddelen worden erop aangepast.

Het zal geleidelijk gaan, maar als we over twintig jaar terugkijken op de ontwikkeling van mobiliteit, dan zijn de veranderingen groter dan gedacht, zonder dat we in een volledige nieuwe wereld leven. Dat heeft het verleden ons wel geleerd.

SXSW 2018; Soul-searching for Silicon Techies

This was my 6th SXSW, I counted. Started in 2011 the adventure with also my first ever Airbnb experience. I learned some things in the years after (2013, 2015, 2016, 2017). How to plan session schedule to prevent disappointments, but don’t fear for FOMO, it happens all the time.
Have a bike. So much better experience. But take a hybrid, the hills are steep. Especially in the favourite place to find your Airbnb; south of the river. This year we found a great house in the fancy neighbourhood Zilker Park .
We needed a five-room house as we teamed up this year with Wilbert and Marco again. And Femke joined us (Jann and me) too. Super nice to have good company to evaluate the day and share experiences. Makes it even more nice.

Continue reading at Medium: https://labsinfo.nl/looking-back-at-sxsw-2018-soul-searching-for-silicon-techies-b81a516b4ef3