Tag Archives: technology

What will the workplace look like in an automated world?

How will automation impact upon the design of our workplaces?  Is it really likely that our workplaces will cease to exist?

2016 became the year that automation of the workforce went mainstream, with the question “Will a Robot take my job?” becoming common across a wide swath of media and the internet, no longer the subject of only futurism and innovation blogs.  In fact, the changing nature of work, automation and the possible significant job losses associated with it are now considered one of the biggest challenges facing us globally in the next 10 years.  So how will this impact on the workplace and interior design?

For a seriously dystopian view, this video from the Guardian, paints a very different picture from the world we inhabit now – somewhat 1984 meets the Jetson’s – and like both of these, it’s probably a bit too far fetched to be real.  Whilst its true that many jobs or parts of jobs could be automated, the reality is that automation is likely to be slower to take over than we imagine, and that a world without work (and the workplace) isn’t likely to be coming any time soon.  There are a number of reasons for this, reasons that are less about technology than they are social, political and psychological.  We just don’t trust machines.  Our societies are not set up to function in a world of no work – we need to get paid to live.  Its likely that ‘busy work’ will continue for some time after many jobs could have been automated.  Already we see this in architecture, interior design and engineering.  We have students, but not the latest software.  Possibly no-one in the office even knows what the latest software can do, or maybe no-one has had time to learn it yet. Perhaps managers insist that it needs to be done the way it always was, the other way won’t work (or they are scared it will and that they will become irrelevant).  So still the students do the manual repetitive tasks that could already be done by software.  I imagine its the same to some extent in all industries – although construction is one of the worst (see my posts on disruptive innovation and the future of architecture).   Linked to the Guardian video is a great article about how we need to change society before we can get rid of work.  My belief then, is that the workplace will continue to exist for some time to come.

Perhaps it is more likely we will see more co-working spaces to provide both individual and corporate tenants flexibility to cater for the changing nature of work. We are already seeing the idea of the freelance ‘gig economy’ (although in Australia at least casual employment has apparently remained at a steady percentage since the nineties). The accompanying growth in co-working spaces caters for both these freelancers and smaller startups.  However it’s unlikely we will all become freelance entrepreneurs. But that’s not to say there won’t be more of us using co-working spaces.

While some predictions suggest that automation could take 30-50% of jobs, more likely scenario is that automation takes parts of jobs – many jobs are a mix of repetitive and non-repetitive cognitive tasks. My job as an interior designer still exists, but certain tasks won’t.  The choices will be to either have less staff or retain a similar numbers of staff but everyone becomes part time (and we all supplement our incomes selling stuff on Etsy…)  Possibly different organisations may make different choices – but with more and more staff sick of working long hours and wanting better work life balance (or perhaps time to make money online) the chances of a larger part time workforce would seem to be high.  Perhaps we won’t just work in one job or place but in several.  Either way we would see workplaces either shrinking or more people working out of co-working spaces part or all of the time.  To some extent, this would mean that current trends of activity based working with its more flexible approach to space per person and co-working will continue.

The very development of co-working spaces highlights the reason why the workplace will continue to exist. It’s social. From my own experience I’ve always found one of the biggest barriers to a remotely distributed team is the random connections and conversations, often referred to these days as the ‘bump’ factor (although they happen just as much sitting at a desk as at a corridor). Neil Usher sums it up really well in this blog “Only when technology begins to absorb unscheduled, occasional, distracted, interrupted and uninvited multi-participant conversation will it begin to scratch the surface. In this respect, forget the cloud, technology needs to be in the crowd.”

Neil also talks about the change in the design of what we consider to be a workplace and the influence of other spheres of design. Our offices are already starting to merge into spaces less dominated by cubicles and computers, with more in common with residential or hospitality spaces. The co-working and activity based working models also bring to this the concept of office-as-a-service, with ideas of hotel style concierges, retail style IT genius bars and perhaps food and beverage options. I agree with Neil, that this trend will continue (although maybe the Genius Bar will be staffed by robots?), and this presents another challenge to those designing (and even more so paying) for the workplace – design trends in hospitality and retail change a lot faster than a traditional ten year commercial lease!

To me though, one of the most exciting trends in workplace design will be the ability to create simulations during the design stages and post occupancy evaluations in real time. The ability to test our designs and how people interact with them creates an opportunity for architects and designers never seen before. Particularly as the workplace becomes a consumer choice (as we can work from anywhere), the ability to create evidence based designs that we can prove are attracting people to use the workplace gives workplace designers so much more relevance than being seen as someone who pretties up the space. Not only that, we can start to generate evidence as to how workplace design contributes to productivity, teamwork, collaboration and wellbeing. I wrote an article on this use of simulations and data several years ago, and now the idea is starting to go mainstream – co-working space WeWork are starting to actually do it, and software giant Autodesk are predicting it to be one of the big industry changing trends.

None of this means that the workplace will look so different after all – except maybe a robot will deliver your coffee. Trends in design and furniture will continue to come and go. Wellbeing, biophilla and plants might still be important design criteria – maybe you might kneel instead of standing or sitting – but probably you will still go to work in an office that has some kind of work surface (I’m hoping for the giant tablet bringing a return to the drawing board), coffee (maybe your coffee robot is not just bringing it, but also the barista) and at least some co-workers.  Maybe some of you would rather Alice’s world…

Ceilidh Higgins

Ps. In my own future of work, next week I am looking forwards to joining the team at Futurespace!

Where to From Here: Embracing technological change

la libertad tiene un precio. by ... marta ... maduixaaaa, on FlickrIs architecture on the verge of the greatest change in centuries? Ceilidh Higgins looks to the future and predicts disruption of epic proportions. This is part of the ACA’s Where to From Here series, which invites reflections on the recent ACA – SA State of the Profession research.

The architectural profession could be sitting on the brink of the largest shift in how we practice since the Middle Ages and the time of the master builder. Alternatively, we could become totally irrelevant to anything except the boutique house. The scary thing is that much of our profession seems totally unaware this seismic shift could soon occur.

I really enjoyed writing this article for the ACA, it brings together a number of topics I have written about over the last few years.  To read the full article go to the ACA website here.  If you are interested in the ACA-SA State of the Profession research you can find a summary here.  I also recommend checking out the other articles in the series.

Ceilidh Higgins

Image credits:la libertad tiene un precio.” (CC BY-NC-ND 2.0) by  … marta … maduixaaaa 

Is Disruptive Innovation possible in the construction industry?

fishbowl jump by Kay Kim(김기웅), on Flickr
Lately I have been finding the term “disruptive innovation” everywhere.  From events about green buildings and BIM, to blogs and even the Australian Prime Minister – everyone is talking about disruptive innovation, what it means and how it is changing business and our lives.  Along with robots (see my post on robots here), the concept of disruptive innovation seems to have become one of the mainstream technology trends to talk about in 2015 –  replacing big data as the hot topic (and see my post on big data here).  But has disruptive innovation yet impacted on the construction industry? And if it hasn’t yet, will it? I worry that sadly the answer might be no.

The construction industry is one of the least efficient industries – and this is a worldwide issue. This year I heard someone describe the construction industry as ‘the last craft industry’ and this is certainly true.  Whilst so much of production and manufacturing has become rigidly process oriented and quality controlled, prototyped and tested – even in developed countries, almost every building that we build is still a one off design, constructed piece by piece on site.  The inefficiencies of all phases of building – from procurement through to design and construction are outstanding.  Even when a building is not designed by an architect, if it’s larger than a house, it’s almost certainly a one off design.  Even in Australia, where site labour is a significant expense, prefabrication is the exception and not the norm.  We actually have less standardisation than in the larger American and European markets! As architects and designers in Australia we expect to be able to customise almost any product, and often at no extra cost because so much is custom manufactured for each and every project. All of this results in additional costs, both to those supplying services and products related to buildings which are then passed onto those purchasing buildings.  I have seen estimates suggest that the construction industry wastes a mind boggling 20-30% of building costs  – possibly equating to somewhere around $1.7 trillion (USD) worldwide each year! I found one estimate that 50-68% of time on site is wasted!!! Just google construction industry waste and you will find heaps of articles from around the world in relation to both time and materials.

All this would suggest, that buildings and construction should therefore be ripe for disruptive innovations – there is clearly a massive problem here.  BIM, prefabrication and robots have been seen as possible saviours of the industry, that would increase efficiencies but are they effective and are they disruptive innovation?  In the UK, the government determined in 2011 that BIM would generate savings and efficiency for government projects, and they have mandated its use on all government projects over 5 million pounds.  There is plenty of evidence from the UK and also from around the world that is demonstrating that BIM is reducing construction costs (for example refer to this series of articles by David Mitchell on ROI of BIM) – and one assumes without reducing quality of outcomes.  The UK mandate targets that by 2016 all projects will be what is defined as “Level 2 BIM”, but there is no date yet set for “Level 3 BIM”.  So BIM has already been around for easily 10 years already now, and still with no end date for this higher level uptake by industry – 15 years of change seems to slow to me to be defined as disruptive innovation. I’m not so sure that BIM is “our Facebook revolution” (see this article on Digital Built Britain)

Perhaps before we go much further, we need to define – what is disruptive innovation anyway?If I ask google the answer (via wikipedia) is ” A disruptive innovation is an innovation that creates a new market and value network and eventually disrupts an existing market and value network, displacing established market leaders and alliances. The term was defined and phenomenon analysed by Clayton M. Christensen beginning in 1995.”  The frequent examples we are all familiar with include Airbnb, Uber, iTunes and Facebook.  To me, I’m not quite sure that all of these actually meet the requirement for a ‘new market’ – how is the Uber market different from the taxi market? But the key point is that they create a new way of service or product delivery that is completely different from what has come before rather than just being a little bit different – cheaper, easier or more competitive.  For example Amazon is not usually viewed as disruptive innovation, its just a slightly different way of providing goods, at a conceptual level it’s basically the same as the very old fashioned mail order catalouge.

So is BIM a disruptive innovation? I think not. When I first attended RTC back in 2009, and really started to see the possibilities of BIM beyond just 3D modelling and how we could move towards buildings being built from models not documents, and I was seeing all the resultant changes this would bring to our contractual and teaming arrangements, I think I would have considered that BIM would be a disruption to our industry.  But now 6 years later, how much has really changed?  Buildings built from models are still very much the exception rather than the rule, as are alternative procurement and contracting arrangements.  In the same time, Airbnb (started 2008) and Uber (started 2009) have taken over and are serious dominators in their respective markets.  I think there are a few reasons for this slow uptake of change in the construction industry.  One is that with BIM, we still have the option to do things the old way.  We can combine a bit of BIM with traditional paper documents and contracts.  It’s not an all or nothing alternative.  The other is the scale and structure of the market purchasers.

I have been thinking a lot lately about what these kinds of disruptive innovations have in common and how they differ from architecture and construction.  The key issue to me, is that almost all of these commonly discussed disruptive innovators rely on the power of individual consumers and not government and big business.  Can you think of any disruptive innovations that have been driven by or even embraced by Government? Or even big business? (A related question to ponder another day – is activity based working a disruptive innovation?)  If anyone has any suggestions, I’d love to hear them – I can’t think of even one.  So recently when I came across on article on crowd funding for the property industry, I wondered – could this be the driver for disruptive innovation in construction?  Crowdfunding brings in the individual consumer, could this be the missing link?

However upon reading the article, I don’t think so.  Whilst the project funding might be obtained from smaller individual consumers, the project is still run by a larger developer –  it’s just a new way for them to get their start-up capital, like the idea of off the plan apartments really.  Whilst the smaller investors may start putting the pressure on for greater efficiency this is more likely to push incremental improvements rather than disruptive innovation.  The article concludes with the suggestion that within 6 years these crowd funding ventures might be owned by banks, so disruptive innovation seems highly unlikely!

What about other aspects of technology?  Could robots and prefabrication cause disruptive innovation in construction?  Again these are technologies that have been developing for some time – prefabrication for probably over 100 years now! Whilst both offer opportunities for efficiency gains in design and construction, like BIM, they also offer us the opportunity to take small parts and combine prefabricated or robot built items alongside traditional methods.  Robots might be laying bricks, but did they pour the concrete slab yet?

So far, the best opportunity I have seen for disruptive innovation in design and construction is going to come from algorithms rather than robots, through the form of software like Google Flux.  Flux automates the building design based upon site conditions.  (You can find out more about Flux in this video from my presentation and blog on Will a Robot take my job or here on Randy Deutsch’s blog ) There is no reason why either much of the model or the documentation would not be largely automated out of this software as well.  Whilst I believe humans (as architects) will always be involved in designing high quality buildings, much of the work we do as architects could be automated.  I have recently heard said “the computers don’t have to be perfect, they just have to be better than us”.  Why should a human spend time drawing up all the details and layout of a toilet when a computer could do it faster and make sure it meet the building code? The parts could then be prefabricated or assembled on site by robots increasing construction efficiencies.  Developed outside the traditional markets, could Google displace Autodesk as the primary software provider for building design and the disruptive innovator that changes the traditional delivery of architecture? I think it’s possible.

I think it’s also possible, that architects won’t see the potential of these tools, they will see the admittedly ugly buildings that the beta version of the software produces, and believe it’s just a tool for developers to quickly design and build boxy buildings.  If architects don’t engage with these technologies, that is probably what they will become.  But what proportion of our clients are coming to us for high end design? If developers, governments and big business don’t need architects any more what happens to our industry? What happens if construction innovates but architecture doesn’t?  If construction innovates and becomes more efficient, will that leave architecture behind? Does architecture become even more of a boutique industry catering to rich people’s houses?

What about disruptive innovation in construction itself? If not robots or prefab, what could it be?  Is disrupting design sufficient to disrupt construction? Or are there other disruptive innovations out there on the horizon?

Ceilidh Higgins

Image Credits:
Creative Commons Creative Commons Attribution 2.0 Generic License   by  Kay Kim(김기웅) 

Will Architectural Technology Create the Next Generation Gender Divide?

Women in BIM copy

It’s been a while since I have posted to this blog – there have been quite a few things keeping me busy lately.  One of which was this article that I was commissioned to write for Parlour.  Parlour is an Australian website dedicated to promoting gender equity and diversity in architecture.

In my writing and research I have questioned if architects will be replaced by robots or computers, and come to the conclusion that while computers are taking over the architectural office, we still have humans to tell them what to do. As Achim Menges, professor at Stuttgart Institute of Computational Design, comments, “this process can bring out the best in both humans and computers”. But is this going to be humans or is this going to be men?

Why are more women in our professions not embracing the possibilities technology can offer architectural (or interior design, or engineering) practice today? With rapid advances in technology and their increasing importance across the industry, it’s a question worth pondering.

Read the full article on Parlour’s website.

Ceilidh Higgins

Photo courtesty of BrisBIM

Big data at the intersection of building analytics and people analytics

buildings with peopleImagine if you could simulate your building or workplace environment before you built it – not just simulating energy usage or daylighting – but creating a simulation of how the people would behave and work inside your space. And not just a generic sample population, but your actual workforce in a simulation that knows and understands their actual behaviours. Before investing in bricks and mortar (or tables and chairs) – you could test numerous design scenarios and their impact upon not only how the building itself operates, but also how the occupants respond, their use of space, their interactions with one another and more. How would this change the way we design, the way we build and possibly the way we all work?

Many people would think this sounds pretty far fetched, futuristic and certainly a little bit big brother. The reality is that we actually have both the information and the technology available to do this – right now in 2014. Today I’m going to talk about why we would want to look at simulating human behaviour in the built environment and what this could mean for design, as well as discuss the types of data analysis and technologies from different fields that I believe could be brought together to make this kind of simulation of the built environment possible.

My background is in workplace and educational design. A large workplace is probably one of the most complex environments in which to try to predict and understand human behaviour. Unlike a restaurant, a shopping centre or a train station, it is designed to have a large number of diverse activities taking place. Whilst at the same time – and I know this sounds a little strange – there is actually less of a clearly defined purpose in being in a workplace than in many other kinds of enivonrment. Different individuals have different purposes in being there, because they enjoy their work, to socialise or to earn money are just a few. An opposite example of a much more simplified purpose of space would be in a cinema – where almost everyone is in the space for one purpose, which is to see a movie (although they may have different motivations for seeing the movie). In the workplace, because there are so many different activities and behaviours, finding patterns to predict how people work – and even understanding what improves their work is more complex.

The holy grail of workplace design is to be able to prove that certain design elements increase productivity. Most researchers agree that it has historically been almost impossible to measure productivity in knowledge or service oriented workplaces, which today make up the bulk of first world workplaces. We can however measure a lot of approximations of productivity – or things that we expect to have a close correlation with productivity – things such as staff retention, absenteeism or self reported satisfaction and comfort levels. This kind of data is readily available.

Another key issue in workplace design centres around the actual useage of space. Real estate is a significant business cost (though much less significant than the people cost) During the design phase of any project there is great debate over wdifferent kinds of spaces and how and if they will get used. Do we allocate individual offices to sit empty, will staff actually use that large breakout space, will that training room sit empty for half the year? From the workplace designer through to the facilities manager and the CEO, the ability to simulate occupant behaviour in the workplace has a huge potential to impact upon what and how we design our workplaces. To me this could be the next significant game changer in workplace design and productivity.

It’s being made possible by big data. In the past, we have not had access to enough information about either building systems or occupant behaviours to be able to simulate these kinds of complex environments. There is software that can simulate human behaviour – and it has been around for more than 20 years. Commonly used software that simulates vehicular and pedestrian behaviour or fire engineering modelling is all simulation software which is based upon predicting human behaviour. However, the difference between these previous software models, and predicting behaviour of occupants of a workplace or other complex building type is the complexity of the human interactions. Human behaviour in a fire situation or within a train station environment is much simpler than in a workplace. There are less possibilities because of the limited scenario, and also we are essentially only tracking one variable – movement. Workplace design has made very limited to use of this kind of simulation, for example Google campus at Mountainview has been designed to ensure that all staff are within 2 and a half minutes walk of each other. Movement within the workplace, or other building types, is a pretty simple and limiting factor to use to test and simulate our designs. Big data, and in particular, combining information from the fields known as Building Analytics and People Analytics, could give us the opportunity to feed a huge range of different kinds of building and human behaviour data into a simulated building model.

Building Analytics is currently seen as the next big thing in building and asset management as well as an important factor for environmentally sustainable buildings. Probably most people in this room have at least some familiarity with this field. In the past, data gathered from buidling tuning or the BMS was more limited and unlikely to be in real time. However this has been changing. Building managers can now have real time access to a range of data – from factors such as which lights or appliances are in use, to the temperature, CO2 and VOC levels, heat or movement maps of actual occupation coming through motion or heat sensors, lifts that track occupant destinations or individuals movement through security systems via access cards or CCTV. Many of these systems are already commonly available in any new large commercial development. Facilities managers and building owners are using them to understand and predict occupant behaviours in relation to building systems. Historical data from the same systems can then be combined with real time data to predict or simulate things like building energy usage in a given period or what the impact of certain weather conditions might be on occupant comfort.

This type of building analytics does take into occupant behaviours, but only at a very simple level, things like is the space occupied or not occupied – because this is key information for the running of building services such as lighting and air conditioning. Whilst this data is firstly being used to control the systems and secondly to predict building performance it also provides us with real time reliable data on occupied versus unoccupied space. The ability to use web based booking systems for rooms or desks was the first step that created some kind of data around anticipated space usage, but it wasn’t real usage data, only a prediction of usage. Today BMS data can be combined with this kind of booking system, and it is possible to not only track advance bookings but real time actual usage – if someone doesn’t turn up to use the booked space it can be reallocated to somebody else. Whilst this kind of information can help manage a building it doesn’t predict behaviours or improve occupant performance.

This is where People Analytics can start to work with building analytics to create a fuller picture of how space is actually being used, and what this means for the occupants.

So what is people analytics? People analytics looks at data generated by people and companies rather than data generated by building systems. It is a growing field of social science with implications in particular for human resources and recruitment – and in my view for designers. People anayltics starts to look at and analyse any available kind of data in order to find patterns and understand human behaviours – its anthropology using computer generated information. Today, data generated by people can include anything from emails, to social media usage, to bluetooth and movement tracking, voice recordings, computer data logs, organisational plans, charts and documents or google searches. If you think about your electronic footprint, even without anyone planning on tracking what you do, there is a lot out there. The more we use the web or cloud based services, the more data exists about our habits, our performance or our personalities. In the past the quantities of data have been so much smaller, that there was not sufficient amounts of data to generate patterns or the computing power to crunch it. Today there is.

By analysing huge amounts of historical data it is possible to identify patterns or characteristics of certain groups of people, or how to predict or promote certain behaviours. Once the historic data set has been created, it is then possible to analyse data of new people to identify who fits the patterns. We still don’t always know what the data can mean on its own though. One of my personal favourite odd ball data correlations is that super guru computer programmers apparently have a tendency to like a certain Japanese manga website! You can see the applications to recruitment and HR immediately.

Another fun example of the use of large samples of aggregate data is the Twitter happiness index. This website analyses the use of certain words on Twitter every day since 2008. Words are assigned values from 1 to 9 to signify sad to happy. The overall happiness score for each day is then calculated and graphed. There are also Twitter election indexes, oscar indexes and many more aimed at trying to predict outcomes based upon twitter traffic. Elections polling has been a high profile example demonstrating people analytics to the public. In the 2012 US presidential election, big data was used by a number of forecasters to accurately predict the results in all 51 states. These are all examples of different uses of people analytics.

But how does all of this relate to buildings, and workplaces in particular?

Lets start with a really simply example of using other kinds of data in combination with building systems data which was undertaken by Immersive, a big data company based in Melbourne, Australia. By taking the historic heat sensor data from a workplace BMS and analysing it against the organisation’s project planning data for the same time period, it was possible to determine what the actual space usage and occupancy loads had been over the period compared to the predicted project staffing levels. Using the same forward project planning data, it was then possible to predict the organisations actual future space needs. Whilst this takes into account some level of occupant behaviour – space occupancy – again its a single variable, where we are still looking at physical space more than actual occupant behaviours.

But what if we could take multiple kinds of data – data that is more specifically tracking behaviours in the specific context of the workplace? And not just data about electronic interactions – what if we can gather the same types and quantities of data about our face to face interactions as our electronic interactions? In analyising workplace productivity, this tracking of real time physical interactions is important – because in most companies, much of the informal collaboration still happens face to face. The theory is that in organisations where knowledge work is undertaken, social networks define how information is transferred informally across the organisation, and that this informal sharing is creating a transfer of knowledge. This new knowledge then has a significant influence on how the work gets done and therefore on productivity – kind of like how you learn just as much by going for drinks at RTC as you do in the presentations – people are sharing what they already know.

If organisations can find ways to firstly understand these social collaborative networks and then secondly promote them, social scientists believe that the organisations productivity can be enhanced. The office space itself then becomes one means of modifying social behaviours in order to promote certain kinds of interactions. But how to collect information on face to face interactions – we are not all going to suddenly start skyping the person sitting next to us.

Enter the sociometric badge. Developed by a team at MIT, this device contains a number of sensors. An IR transreciver allows the devices to sense one another, bluetooth records their physical location in space, an accelerometer can figure out if you are sitting or standing and a microphone detects audio. Right now this device is approximately the size of your building access card although slightly thicker and can be worn around your neck. In the future your smart phone will probably be able to track all of this anyway – its actually already got almost all of the same sensors. The sociometric badges have been used to track and record the behaviour of building occupants in a number of studies investigating the way we work. The outcomes have been published in a great book called “People Analytics: How Social Sensing Technology Will Transform Business and What It Tells Us about the Future of Work” by Ben Waber.

One of the interesting things is that the microphone doesn’t even record what you actually say. It records things like tone, change in volume and speaking speed – which are considered social signals, and which are in fact more important in our face to face interactions than the words we actually speak. Early tests in laboratory environments included speed dating and salary negotiation simulations. Computers were able to predict outcomes with over 85% accuracy based upon 5 minutes or less of these recorded social signals.

These devices have since been utilised in a variety of actual real workplace studies. So far sociometric badging has found that call centre productivity is enhanced when team members take breaks together and that the amount of time spent interacting and the amount of physical movement are god predictors of creative days.

These studies, and most in the book, are based around understanding and modifying behaviours rather than modifying environments, but as any architect or designer knows, if you modify the environment, you have the opportunity to modify the behaviours. One of the studies of most interest to us, looking at how changing physical space impacts on occupant behaviours, was a study which investigated the size of lunch tables in a workplaces cafe spaces. Using data from the sociometric badges within an online travel company, it was found that staff that sat at larger lunch tables were more productive. Within the existing office environment there were 2 different spaces staff could choose to eat lunch – one had small tables for 4 people, and the other larger tables seating up to 12 (or they could chose to eat by themselves at their desk). The data quickly showed that the people who ate lunch together would then tend to communicate further that day. The staff that sat at the larger tables were more likely to speak with others outside of the group they had arranged to lunch with, and formed larger conversational groups at the lunch tables. These wider lunch time conversations led to links and collaborations in the organisation that were not otherwise being formed. These links were part of the knowledge sharing that led to greater productivity.

In another MIT project, the cubicles themselves were equipped with sensors so both the office environment and the people within it were being analysed. The cubicles were fitted with blinds instead of typical workstation cubicle screens, in order to provide privacy or allow collaboration. Based upon the collaborations that the data had identified as being most beneficial, the automated blinds would open or close overnight. In this way the building itself can even automatically respond to data analysis.

Often, the data coming out of these studies is not surprising the social scientists or the building designers. What is is doing though, is proving things we know instinctively, the things we have seen work before.

When you think about this information about your day, what you do, where you go and who you talk to is then combined with your electronic footprint, the information about your colleagues and then possibly also the building data – its a pretty full story of what happens inside a given workplace or building in a day. The possibilities for analysis and experimentation will be endless. Why is this so important to design and construction though? So far this is all about modifying existing environments. Being able to test and prove what works is the next step.

In an example that initially does not seem to be related to physical space, but to health, the sociometric badge data is combined with data about how disease spreads. The impact of sickness on the work environment, the interactions and the productivity can then be simulated across a range of scenarios with different people being the disease originator and different simulated responses such as stay home versus solider on being tested. One suggested solution to minimise spread of disease was to change the regular seating layout, which has the effect of reducing the level of interactions between people who already knew each other.

Moving into the not so distant future – there is no reason why the possibilities of physical environments could not be tested inside a BIM, with the algorithms behind the behaviours of the sims being developed from these kinds of behavioral data sets. We have the technology available to us already.

While this isn’t about BIM as we know it today, the link between the the building model and the simulations is obvious. But will architectural practices embrace these technologies or will this lead to another new kind of consultant in our team?

Imagine the value of the design and simulation team who can prove to the client organisation that workplace productivity could be enhanced simply by working with them? Translate that to all kinds of building typologies – and the whole definition if what architecture is or could be may change. Perhaps big data is going to have an even more significant impact on change in our industry than BIM, in ways we haven’t even imagined yet.

Ceilidh Higgins

This blog is the text from my presentation at RTC North America last month, as part of the session BIMx: Big ideas around big data.  I had a great time over there and attended some excellent classes.  If you are in Europe, RTC will be in Dublin later in the year.

Image Credits: Via Flickr Creative Commons
Big Buildings https://www.flickr.com/photos/neilarmstrong2/5480543083/
The New York Times on the New Art of Flikr https://www.flickr.com/photos/thomashawk/2442371176/