Category Archives: information

New book: Data and the City

data and the cityA new book – Data and the City – edited by Rob Kitchin, Tracey Lauriault and Gavin McArdle has been published by Routledge as part of the Regions and Cities series.  The book is one of the outputs from a Progcity workshop in late 2015.

Description
There is a long history of governments, businesses, science and citizens producing and utilizing data in order to monitor, regulate, profit from and make sense of the urban world. Recently, we have entered the age of big data, and now many aspects of everyday urban life are being captured as data and city management is mediated through data-driven technologies.

Data and the City is the first edited collection to provide an interdisciplinary analysis of how this new era of urban big data is reshaping how we come to know and govern cities, and the implications of such a transformation. This book looks at the creation of real-time cities and data-driven urbanism and considers the relationships at play. By taking a philosophical, political, practical and technical approach to urban data, the authors analyse the ways in which data is produced and framed within socio-technical systems. They then examine the constellation of existing and emerging urban data technologies. The volume concludes by considering the social and political ramifications of data-driven urbanism, questioning whom it serves and for what ends. It will be crucial reading for those who wish to understand and conceptualize urban big data, data-driven urbanism and the development of smart cities.

The book includes chapters by Martijn De Waal, Mike Batty, Teresa Scassa, Jim Thatcher and Craig Dalton, Jim Merricks White, Dietmar Offenhuber, Pouria Amirian and Anahid Bassiri, Chris Speed Deborah Maxwell and Larissa Pschetz, Till Straube, Jo Bates, Evelyn Ruppert, Muki Haklay, as well as the editors.

Data and the City is available in both paperback and hardback and is a companion volume to Code and the City published last year.

Workshop paper with LERO / School of Business: Perception of Value in Public-Private Ecosystems: Transforming Dublin Docklands through Smart Technologies

On December 9th 2016, Lero organised a workshop called IoT & Smart City Challenges and Applications” (ICSA 2016), prior to the 2016 International Conference on Information Systems (ICIS 2016), held in Dublin, Ireland from December 11-14. The event features 12 presentations across three themes, along with panel discussions.

Among these was the following paper on the Dublin Docklands, drawing from our early findings on partnership models for a smart district:

Perception of Value in Public-Private Ecosystems: Transforming Dublin Docklands through Smart Technologies
Olga Ryazanova, Reka Petercsak, Liam Heaphy, Niall Connolly and Brian Donnellan

or just Dublin Docklands?

Abstract:
Our study explores the potential for developing a hybrid business model for public-private ecosystem that emerged around the smart cities project in Dublin Docklands Strategic Development Zone. We focus on stakeholders’ expectations in relation to value creation and value capture, trying to understand to what extent the interests of stakeholder groups are diverse, and whether it is possible to create consensus that delivers economic, social, and environmental value for participants. The findings of this study seek to advance the literature on the business models of hybrid organisations and to test some assumptions of the research on the governance of public-private partnerships.

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Emerging Technological Responses in Emergency Management Systems

The advent of discourses around the ‘smart city’, big data, open data, urban analytics, the introduction of ‘smarter technology’ within cities, the  sharing of real-time information, and the emergence of social media platforms has had a number of outcomes on emergency services worldwide. Together they provide opportunities and promises for emergency services regarding efficiency, community engagement and better real-time coordination.  Thus, we are seeing a growth in technologically based emergency response. However, such developments are also riddled with broad concerns, ranging from privacy, ethics, reliability, accessibility, staff reluctance and fear.

This post considers one recent technological push for the re-invention of the emergency call system (911bot) and another for the sharing of real-time information during a major event (Smartphone Terror Alert).

911bot

In recent years, there has been a significant move away from voice calls towards texting and internet based platforms (eg.WhatsApp and Twitter)(see figure 1), this is tracked regularly by the International Smartphone Mobility Report conducted across 12 countries by the data tracking company Infomate. In 2015, they found that in America the average time spent on voice calls was 6 minutes as opposed to 26 minutes texting, and worldwide,  internet based platforms were the main form of communication (Infomate, 2015 and Shrapshire, 2015).

 

cell phone communication

Figure 1: Cell phone Communication. Source: Russell (2015).

In light of this, there is a push by both the private sector and entrepreneurs to utilise mobile phones and  social media platforms in new ways such as within the emergency call system. Within my own field research, I have questioned first responders in Ireland and the US regarding the use of social media and apps as alternative means to the current telephone system.  For the most part, this was met with disdain and confusion from first responders.  Strong arguments were made against a move away from a call-dominated response system. These included:

a)      Difficulty in obtaining relevant and accurate information regarding the event, including changing conditions and situations.

b)      Not able to provide the victim or caller with accurate instructions and information.

c)      Restrictions in contacting the caller.

d)     The system would need an overhaul for it to work, i.e. a dedicated team ensuring that these messages are not missed, and require staff training.

e)      Call systems are established mechanisms for contacting the emergency services, why change it when it works?

f)       If you use something like Twitter or Facebook to report an emergency how do we ensure that it is reported correctly and not just tweeted or messaged to an interface which is not monitored 24/7?

And as can be seen through the following conversation with two operational first responders in Dublin, Ireland, they want new technology but are also highly hesitant as to its ability to ensure a quick response.

Conversation between researcher and two first responders

R1: See the problem with a tweet and a text, I can’t get any information out of that, like I could tweet and back and then you are waiting for them to send something back, when I have you on the phone, I can question you, “What is it?”, “What is wrong?”, “What is the problem?”.

R2: If you did go with something like [social media platform for emergency call intake], you would have to have the likes of, if you are the tweet man then you would have to be 100% on the phone looking at it

R2: It probably would work if it wasn’t an emergency as such, not a full emergency

R1: I think people need tobe re-assured that someone has seen it and really knows what is happening.

R1: Jesus you could have everyone tweeting saying I have a sore stomach and that would register as a call for us so the calls would just get worse and worse. [...] I think if you ring Domino Pizza now, it will know who you are, where you are and your order

R2: They can read the caller ID coming

R1:We haven’t got that

All of these are understandable concerns, but they also illustrate a resistance to innovative change that may result in cultural and institutional change which they oppose due to highly legitimate fears of effectiveness and reliability. Even so, they are welcoming of technology which has obvious benefits for them such as the “Domino’s Pizza” caller ID system, but are more reluctant towards innovations such as the 911bot whose value is overshadowed by fears of inefficiency, information gaps and reliability. However, the 911bot does potentially address some of these issues within its design.

The 911bot (figure 2) was developed during TechCrunch’s Disrupt Hackathon in New York in 2016.  It works through Facebook Messenger, which had a reported 1 billion users in July 2016 (Costine, 2016), to allow users to report an emergency.  Initially, one would be forgiven for immediately thinking of the arguments made against a transformation of the current system as presented above. However, the messenger app already offers location services based on the phones GPS thus, when reporting an incident, your exact location is immediately sent (although you can turn off your GPS signal and restrict your location being sent, when using this bot there is potential for that to be overridden).  The person reporting the incident can also send pictures or videos and the bot can provide information on what you should and shouldn’t do in that situation such as, how to do CPR during a cardiac arrest (Westlake, 2016).

Further, this bot has potential to feedback the location of the first responders to the reporter. It provides the control room with more accurate information coming from real-time videos and pictures meaning that they are not relying wholly on information from untrained and scared people.  And, most importantly, this system doesn’t take away from the control room interacting with the caller. From the information provided by the developers, it appears that once the messenger sends the request, the control room calls the phone and resumes their role but with more information.   Possibly, going forward this could even be done through Facetime so that the control room has live interaction with the event prior to the arrival of the first responders.  Although, the 911bot has only been developed and not deployed, in time and after much consultation and experimentation, it could prove very beneficial within emergency response.  For instance, if the control room operator can actually see how the person is conducting CPR, can see and hear their breathing, see the extent of the injury, fire, or road traffic collision in real time, it would inform decision-making that could create better and more efficient responses.  However, it would be remiss to discuss this without noting that there are potential privacy issues with the mass use of this type of technology outside of the remit of this post, that would need to be considered.

911BOT

Figure 2: 911bot. Source: 911bot online.

Smartphone Terror Alert

Another new use of mobile technology was the mass terror alert issued on September 17th 2016, after Chelsea, Manhattan was hit with an explosion.  The alert (figure 3) was issued by the Office of Emergency Management, New York Police Department and the FBI through all phone networks. It was received by an unknown number of people and provided information about the key suspect – Ahmed Khan Rahami.  The Press secretary for New York Mayor Bill de Blasio stated that it was the first use of this alert at a “mass scale” and as the suspect was caught within 3 hours, it presented the appearance that this alert was effective, with New York’s Police Commissioner stating “it was the future”(Fiegerman, 2016). Yet there is no evidence that the alert had anything to do with the catching of the suspect; these two factors could be circumstantial.

SMARTPHONE TERROR ALERT

Figure 3: Smart phone terror Alert. Source: published in Fiegerman (2016).

Further, as illustrated by Anil Dash in Fiegerman (2016) how effective was it actually?  “Is there evidence that low-information untargeted push notifications help with any kind of crime? Seems they’re more optimised for panic”.  This is compounded by the lack of an all-clear alert, which would work to ease tensions and potential panic.  We live in a socially constructed risk society (Beck, 1992; 2009) and with innovations such as this, even if the intention is good, the potential for mass panic is created, which raises questions regarding the appropriateness of this mechanism. In this instance, sending an alert with little information, using just a name, makes everyone who could fit that name a potential target, and is an action that could create panic, fear and racial attacks under the illusion of “citizen arrest”.  However, this system has potential especially if it were utilised during severe weather events to provide information on evacuation centres and resources rather than during more sensitive events such as a manhunt.  Essentially, though, before it can be deemed thoroughly effective and safe there needs to be stringent supportive policy and agency and community training to ensure that response from agencies as well as communities is coordinated and effective rather than panicked and uninformed. So, I wonder, is this really the future, and indeed, does it need to be the future? Is it already the present with no sense of reflection on the potential consequences of such a system by the lead federal and local emergency agencies and institutions?  I don’t have the answers to these questions but examining the operational use of this alert even, at its small scale of use, provides opportunities to begin to tease out the danger of a dichotomy between effectiveness and panic and to explore issues around privacy, fear, reliability and usefulness.

In conclusion, this post has provided two different innovations within emergency management, one being experimented with and one which has been implemented. But what is clear is that changes in how we engage with control centres and emergency services are taking place, albeit slowly. But, one can only hope, especially in relation to the alert system, that lobbied criticisms will be engaged with and solutions sought.

 Bibliography

911bot (2016) 911bot. [Online]. Available at: http://www.911bot.online/) (Accessed 9th November 2016).

Beck, U., (1992). Risk Society: Towards a New Modernity. London: Sage.

Beck, U., (2009). World of Risk. Cambridge: Polity Press.

Costine, J. (2016) How Facebook Messenger clawed its way to 1 billion users. [Online].  Available at: https://techcrunch.com/2016/07/20/one-billion-messengers/ (Accessed 8th November 2016).

Fiegerman, S.(2016) The story behind the Smartphone Terror Alert in NYC. [Online].  Available at: http://money.cnn.com/2016/09/19/technology/chelsea-explosion-emergency-alert/ (Accessed 9th November 2016).

Infomate (2015) The International Smartphone Mobility Report [Online]. Available for download at: the International Smartphone Mobility Report (Accessed 7th November 2016).

Russell, D. (2015) We just don’t speak anymore. But we’re ‘talking’ more than ever. [Online].  Available at: http://attentiv.com/we-dont-speak/ (Accessed 9th November 2016).

Shropshire, C. (2015) Americans prefer texting to talking, report says. Chicago Tribune [Online].  Available at: http://www.chicagotribune.com/business/ct-americans-texting-00327-biz-20150326-story.html (Accessed 9th November 2016).

Westlake, A. (2016) Finally, there’s a chat bot for calling 911. [Online].  Available at: http://www.slashgear.com/finally-theres-a-chat-bot-for-calling-911-08439211/ (Accessed 7th November 2016).

 

Call for paper: Data driven cities? Digital urbanism and its proxies

We are organising a special issues on data-driven cities. You can find more details below and we look forward to your proposals.

 

Tecnoscienza. Italian Journal of Science and Technology Studies

SPECIAL ISSUE

“DATA DRIVEN CITIES? DIGITAL URBANISM AND ITS PROXIES”

Guest editors:

Claudio Coletta (Maynooth University)

Liam Heaphy (Maynooth University)

Sung-Yueh Perng (Maynooth University)

Laurie Waller (Technische Universität München)

Call for papers:

In the last few decades, data and software have become an integral part of urban life, producing a radical transformation of social relations in cities. Contemporary urban environments are characterised by dense arrangements of data, algorithms, mobile devices, and networked infrastructures. Multiple technologies (such as smart metering, sensing networks, GPS transponders, CCTV, induction loops, and mobile apps) are connected with numerous processes (such as institutional data management, data brokering, crowdsourcing, and workflow management), in order to provide sustainable, efficient, and integrated city governance and services. Accordingly, big data and algorithms have started to play a prominent role in informing decision-making and in performing the spatial, material, and temporal dimensions of cities.

Smart city initiatives undertaken globally are characterised by highlighting the purported benefits of partly automating management of public services, new forms of civic engagement enabled by digital infrastructures, and the potentials for innovating policy and fostering economic development.

Yet, contributions within STS, Critical Data Studies, Geography, Sociology, Media Studies and Anthropology have contested the neutral and apolitical nature of (big) data and the ahistorical, aspatial, homogenizing vision of cities in favour of an understanding that recognizes the situated multiplicity of actual digital urbanism. The politics of data, data analytics and visualizations perform within specific urban and code assemblages embodying specific versions of real-time and anticipatory governance. At the same time, these studies highlight the risks of dataveillance as well as the corporatisation of governance and technocratic solutionism which, especially coupled with austerity regimes, seem to reinforce inequalities while influencing people’s lives out of the public grasp. Within this context, vested interests interact in a multi-billion global market where corporations, companies and start-ups propose data-driven urban solutions, while public administrations increasingly delegate control over citizens’ data. Also, public institutions and private companies leverage the efforts of open data movements, engaged civic communities and citizen-minded initiatives to find new ways to create public and economic value from urban data.

The aim of this special issue is therefore to encourage critical and transdisciplinary debates on the epistemological and ontological implications of actual data-driven urbanism: its uncertain, fragile, contested, conflicting nature; the different forms of performing and making sense of the urban environment through data and algorithms; the different ways to approach the relationship between data, software and cities; the urban and code assemblages that are produced.

To what extent cities are understandable through data? How do software and space work in urban everyday life and urban management? How do data and policies actually shape each other? What forms of delegation, enrolment and appropriation take place?

We welcome theoretical and empirical contributions critically addressing the following (non-exhaustive-list-of) topics:

- urban big data, city dashboards;

- data analytics and data brokering;

- IoT based urban services;

- predictive analytics and anticipatory governance;

- civic hacking, open data movements;

- privacy, security and surveillance in data-driven cities;

- crowd, mobility and traffic management;

- sensors, monitoring, mapping and modelling for urban facilities;

- digitization of built environment.

 

Deadline for abstract submissions: June 30th, 2016

Abstracts (in English) with a maximum length of 1000 words should be sent as email attachments to redazione@tecnoscienza.net and carbon copied to the guest editor at datadrivencities@tecnoscienza.net. Notification of acceptance will be communicated by July 2016.

Deadline for full submissions: October 15th, 2016.

Submissions (in English with a maximum length of 8000 words, including notes and references) can be made via the Journal’s submission system at www.tecnoscienza.net and an electronic copy of the article should be sent to redazione@tecnoscienza.net. The papers will be subject to a blind peer refereed review process. The special issue is expected to be published in 2017.

For further information about the special issue, contact the guest editors at datadrivencities@tecnoscienza.net.

For further information about the Journal please visit the Journal’s web site at http://www.tecnoscienza.net.

Claudio, Liam, Sung-Yueh and Laurie

Reflecting upon hackathons by their participants

Thomas James Lodato and Carl DiSalvo give a good overview of what hackathons are in their recent article:

Hackathons are rapid design and development events at which volunteer participants come together to conceptualize, prototype, and make (mostly digital) products and services.

Coupling with the rapid pace of conceptualising a product or service, prototyping and making do with limited time and resources during the event, is the competition with other teams for the prizes, ranging from cash rewards to a spot in an incubator programme that could potentially transform the initial idea at a hackathon into a startup success.

We often see coverage of the winning teams, their ideas and sometimes their presentations before the judging panel. However, we do not necessarily know how participants reflect upon their own experiences, problems they encounter along the way and adjustments to their goals and strategies under time pressure.

In this blogpost, we try to give a glimpse of these aspects by asking participants how and what they did in the Global Data Fest/Smart City Hackathon which took place in Dublin between 6 – 8 March, 2015. The videos were taken before the teams presented their ideas to the judges, which means they did not know who were going to win and thus the conversation was not about their ‘winning experiences’. Instead, the videos are about how they took into account of all sorts of challenges and the advice they received from the mentors to finish their project. In doing so, we also wish to create cultural memory for the participants and for one the various pursuits of transforming Dublin into a smart city.

Here they are!

Project: Life Tracking

Project: EmuLUX

Project: CityBuzz

Project: BikeRack

Project: Bintel

Project: BedCount

We thank the participants and also David Prendergast from Intel, who also gave a talk for our seminar series, for making the videos happen.

Sung-Yueh

Call for paper: 4S/EASST track on Data-driven Cities? Digital urbanism and its proxies

We are organising a track for the 4S/EASST conference this year in Barcelona. Please consider submit an abstract to our track on Data-driven cities? Digital urbanism and its proxies. Deadline for submission is 21 February 2016, so there is still time! More details about the track and how to submit:

Short description
The track explores the digital, data-driven and networked making of urban environment. We welcome contributions in various formats: presentations, audio, video and photographic accounts, as well as performances and live demonstrations of public interfaces and software tools for urban analysis.

Abstract
How do software and space work in urban everyday life and urban management? How do data and policies actually shape each other? What forms of delegation, enrollment and appropriation take place?

Contemporary urban environments are characterised by dense arrangements of data, algorithms, mobile device, networked infrastructures. Multiple technologies (such as smart metering, sensing networks, GPS, CCTV, induction loops, mobile apps) are connected with multiple processes (such as institutional data management, data brokering, crowdsourcing, workflow management), aiming to provide sustainable, efficient, integrated city governance and services.

Within this context, vested interests interact in a multi-billion global market where corporations, companies and start-ups propose data-driven urban solutions, while public administrations increasingly delegate control over citizens’ data. Also, public institutions and private companies leverage the efforts of open data movements, engaged civic communities and citizen-minded initiatives to find new ways to create public and economic value from urban data.

However, the making of digital and data-driven urbanism is uncertain, fragile, contested, conflicting. The track intends to stimulate the debate on: the different forms of performing and making sense of the urban environment through data and algorithms; the different ways to approach the relationship between data, software and cities.

We welcome theoretical and empirical contributions critically addressing the following (non-exhaustive-list-of) topics:
- urban big data, dashboards, data analytics and brokering;
- IoT based urban services and governance;
- civic hacking, open data movements;
- privacy, security and surveillance in data-driven cities;
- crowd, mobility and traffic management;
- sensors, monitoring, mapping and modelling for urban facilities;
- digitization of built environment.

To Submit:
Go to the webpage of the track, click on “Propose paper“, and you will be directed to the abstract detail and submission page.

Paper proposals should include: a paper title (no more than 10 words); author/co-authors; a short abstract (maximum 300 characters including spaces) and a long one (up to 250 words). The long abstract will be shown on the web and the short one is what will be displayed in the conference programme.

For more details about submission, please visit http://www.sts2016bcn.org/call-for-papers/

Organizers:
Claudio Coletta (NIRSA, Programmable City), claudio.coletta@nuim.ie
Liam Heaphy (NIRSA, Programmable City), liam.heaphy@nuim.ie
Sung-Yueh Perng (NIRSA, Programmable City), sung-yueh.perng@nuim.ie
Laurie Waller (TUM, MCTS), l.waller@tum.de

If you have any question about the track, please do not hesitate to contact us. We look forward to receiving your abstracts!