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Publications (10 of 27) Show all publications
Gullström, C. & Boman, M. (2015). Analogue Friday 1: Thumbs Up! and Analogue Friday 2: InstaYum!: Impact event and film production.
Open this publication in new window or tab >>Analogue Friday 1: Thumbs Up! and Analogue Friday 2: InstaYum!: Impact event and film production
2015 (English)Other (Other (popular science, discussion, etc.)) [Artistic work]
Abstract [en]

As part of a public dissemination impact activity within the Mediating Presence project of EIT ICT Labs in 2013, partners were invited to a series of Mediated Seminars, seeking to identify valuable trends relating to the future of the media industry in general, and to smart spaces in a particular. The participants reviewed and discussed all the recent publications available via the EIT ICT Labs Web site (www.eitictlabs.eu/publications), as well as a wide range of publicly available reports and white papers. As a result of this process, the idea was put forward to produce four films that would trigger reflection within the research community about the technical development relating to "smart spaces". This represents a new and experimental form of outreach and dissemination for the activity.

The workshop was successfully concluded, with preliminary drafts for scripts, intended for the creation of four short films, handed over to four different film producers by responsible activity researchers in four different cities (Delft, Helsinki, Luleå, and Stockholm). Tentative versions of three films were screened according to plan at the Espoo SSP Results Day event in December, from which valuable feedback was received, allowing for the first three films to be slightly revised and completed at the end of December. In parallel, the fourth film was realised in two parts and completed at the end of December: Analogue Friday 1 and 2.

National Category
Communication Systems Interaction Technologies
Research subject
Human-computer Interaction
Identifiers
urn:nbn:se:kth:diva-165826 (URN)
Projects
EIT ICT Labs SSP 2014 Mediating Presence: SmartCollaborationSpaces; A1404
Funder
EU, European Research Council
Note

QC 20150511

Available from: 2015-04-29 Created: 2015-04-29 Last updated: 2015-05-11Bibliographically approved
Boman, M. & Gullström, C. (2015). Mediated Futures: Technical Foresight report. European Institute of Innovation and Technology, EIT ICT Labs. Stockholm
Open this publication in new window or tab >>Mediated Futures: Technical Foresight report. European Institute of Innovation and Technology, EIT ICT Labs
2015 (English)Report (Other academic)
Abstract [en]

This report outlines trends, challenges, and opportunities relating to the future of

Smart Spaces and ICT-mediated human communication, as observed from within

one of the EIT ICT Labs focus areas: Mediating Presence, during 2012-2013. The

study should be seen as an initial and open-ended exploration that seeks to

contribute a productive point of departure for more ambitious work, which will be

undertaken across the Smart Spaces Action Line and using the Innovation Radar

platform in future years. In particular, the business potential of mediating presence is

the focus of a forthcoming 2014 Foresight Technical Report.

As a foresight, Mediated Futures identifies and exposes future themes with high

innovation potential relating to presence technologies, using a time frame roughly six

months to five years ahead. Its purpose is to create a common outlook on the future

of ICT and to establish a shared vocabulary and fruitful methodologies for future

strategy thinking across the EIT ICT Labs nodes and partner organisations.

A series of workshops and other collaborative activities have been organised within

the Mediating Presence activity over the last 15 months. The pivotal output is a

series of one-pagers, short fictional texts, three of which can be encountered on the

following pages. Tentative and possibly provocative, these are slogan-based

descriptions of future scenarios that serve to trigger new perspectives. A total of six

clusters of topics were covered by one-pagers:

 Data doubles

 New magic

 Luddites

 Socialites

 Future of WorkA working future

 Spaces and things

Place, publisher, year, edition, pages
Stockholm: , 2015
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Architecture
Identifiers
urn:nbn:se:kth:diva-165794 (URN)
Funder
EU, European Research Council
Note

QC 20150430

Available from: 2015-04-29 Created: 2015-04-29 Last updated: 2015-04-30Bibliographically approved
Heger, T. & Boman, M. (2015). Networked foresight: The case of EIT ICT Labs. Technological forecasting & social change, 101, 147-164
Open this publication in new window or tab >>Networked foresight: The case of EIT ICT Labs
2015 (English)In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 101, p. 147-164Article in journal (Refereed) Published
Abstract [en]

The objective of this article is to explore the value of networked foresight: foresight conducted in innovation networks for the benefit of the network and its partners with active contributions from the partners. Strategic management, specifically the dynamic capabilities approach and vast literature on corporate and strategic foresight argue that deficiencies like one-dimensionality, narrow-sightedness and myopia of closed corporate processes are remedied by incorporating external sources. A broad knowledge base promises to especially benefit foresight in multiple ways. Thus, created an analytical framework that integrates the dynamic capabilities approach with existing results on potential value contributions of foresight, enriched with existing findings in networked foresight and organizational design in the light increasing importance of inter-organizational networks. We conducted a series of interviews and a survey among foresight practitioners in a network to explore the perceived value proposition of networked foresight for the network partners and the network itself. The analysis is based on data drawn from the EIT ICT Labs network of large industry corporations, small-and-medium sized companies, and academic and research institutes. Our study shows that network partners use the results primarily for sensing activities, i.e. data collection and to a lesser extend activity initiation. More sensitive and fundamental organizational aspects such as strategy and decision-making or path-dependency are less affected. Especially SMEs may benefit substantially from network approaches to foresight whereas MNEs are more confident in their existing corporate foresight processes and results. The value for the network itself is substantial and goes beyond value creation potential for companies as discussed in literature. The development of a shared vision—relatable to organizational learning and reconfiguration capabilities—was identified as particularly valuable for the network.

Place, publisher, year, edition, pages
Elsevier, 2015
Keywords
Corporate foresight, Networked foresight, Innovation networks, Collaboration for innovation, Open innovation, Dynamic capabilities
National Category
Economics and Business
Identifiers
urn:nbn:se:kth:diva-159148 (URN)10.1016/j.techfore.2014.02.002 (DOI)000367108500012 ()2-s2.0-84949099852 (Scopus ID)
Note

QC 20160121

Available from: 2015-01-22 Created: 2015-01-22 Last updated: 2017-12-05Bibliographically approved
Boman, M. & Sanches, P. (2015). Sensemaking in Intelligent Data Analytics. Künstliche Intelligenz
Open this publication in new window or tab >>Sensemaking in Intelligent Data Analytics
2015 (English)In: Künstliche Intelligenz, ISSN 0933-1875, E-ISSN 1610-1987Article in journal (Refereed) Epub ahead of print
Abstract [en]

A systemic model for making sense of health data is presented, in which networked foresight complements intelligent data analytics. Data here serves the goal of a future systems medicine approach by explaining the past and the current, while foresight can serve by explaining the future. Anecdotal evidence from a case study is presented, in which the complex decisions faced by the traditional stakeholder of results—the policymaker—are replaced by the often mundane problems faced by an individual trying to make sense of sensor input and output when self-tracking wellness. The conclusion is that the employment of our systemic model for successful sensemaking integrates not only data with networked foresight, but also unpacks such problems and the user practices associated with their solutions.

Keywords
Artificial intelligence Massive data Health data Intelligent data analytics Syndromic surveillance Sensemaking
National Category
Computer Sciences
Identifiers
urn:nbn:se:kth:diva-158906 (URN)10.1007/s13218-015-0349-0 (DOI)
Note

QP 2015

Available from: 2015-01-13 Created: 2015-01-13 Last updated: 2018-01-11Bibliographically approved
Gullström, C. & Boman, M. (2015). Smart Collaboration Spaces: Technical Foresight report. European Institute of Innovation and Technology, EIT ICT Labs. Stockholm: KTH Royal Institute of Technology
Open this publication in new window or tab >>Smart Collaboration Spaces: Technical Foresight report. European Institute of Innovation and Technology, EIT ICT Labs
2015 (English)Report (Other academic)
Abstract [en]

This report outlines trends, challenges, and opportunities relating to the future of Smart Spaces and ICT-mediated human communication, as observed from within one of the EIT ICT Labs focus areas: Mediating Presence, during 2012-2013. The study should be seen as an initial and open-ended exploration that seeks to contribute a productive point of departure for more ambitious work, which will be undertaken across the Smart Spaces Action Line and using the Innovation Radar platform in future years. In particular, the business potential of mediating presence is the focus of a forthcoming 2014 Foresight Technical Report.

As a foresight, Mediated Futures identifies and exposes future themes with high innovation potential relating to presence technologies, using a time frame roughly six months to five years ahead. Its purpose is to create a common outlook on the future of ICT and to establish a shared vocabulary and fruitful methodologies for future strategy thinking across the EIT ICT Labs nodes and partner organisations.

A series of workshops and other collaborative activities have been organised within the Mediating Presence activity over the last 15 months. The pivotal output is a series of one-pagers, short fictional texts, three of which can be encountered on the following pages. Tentative and possibly provocative, these are slogan-based descriptions of future scenarios that serve to trigger new perspectives. A total of six clusters of topics were covered by one-pagers:

Data doubles

 New magic

 Luddites

 Socialites

 Future of WorkA working future

 Spaces and things

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Architecture
Identifiers
urn:nbn:se:kth:diva-165790 (URN)
Funder
EU, European Research Council
Note

QC 20150525

Available from: 2015-04-29 Created: 2015-04-29 Last updated: 2015-05-25Bibliographically approved
Moore, H., Sanches, P. & Boman, M. (2014). Ethnographies of Practice, Visioning, and Foresight. In: Huizingh, K.R.E., Conn, S., Torkkeli, M. and Bitran, I. (Ed.), Innovation for Sustainable Economy & Society: . Paper presented at The XXV ISPIM Conference 2014 Dublin, Ireland - 8-11 June 2014.
Open this publication in new window or tab >>Ethnographies of Practice, Visioning, and Foresight
2014 (English)In: Innovation for Sustainable Economy & Society / [ed] Huizingh, K.R.E., Conn, S., Torkkeli, M. and Bitran, I., 2014Conference paper, Published paper (Refereed)
Abstract [en]

A comparative study of three concluded projects is presented, to be used as a backdrop for a newly proposed project on critical adoption of 5G network infrastructure, middleware and service proposed solutions. Since the implementation of those proposed solutions lie 5-8 years into the future, forecasting is necessary and the three concluded projects act as a complementary backcasting exercise in this context. All three concluded projects focused on the development and envisioning of infrastructures for future digital services, all with the proviso that involvement of a wide range of stakeholders could be secured. They were all subject to a rapidly changing development, both on the side of engineering advances and on the side of societal views on such advances. Hence, the new project will have an emphasis on transparency of protocol design and participatory engagement of a greater range of perspectives.

National Category
Computer Systems
Identifiers
urn:nbn:se:kth:diva-159145 (URN)978-952-265-591-2 (ISBN)
Conference
The XXV ISPIM Conference 2014 Dublin, Ireland - 8-11 June 2014
Note

QC 20150410

Available from: 2015-01-22 Created: 2015-01-22 Last updated: 2015-04-10Bibliographically approved
Moore, H., Sanches, P. & Boman, M. (2014). Ethnographies of Practice, Visioning and Foresight in Future-Oriented Technology Analysis. In: : . Paper presented at Future-Oriented Technology Analysis Conference: Engage today to shape tomorrow, Brussels. European Commission
Open this publication in new window or tab >>Ethnographies of Practice, Visioning and Foresight in Future-Oriented Technology Analysis
2014 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
European Commission, 2014
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-159149 (URN)
Conference
Future-Oriented Technology Analysis Conference: Engage today to shape tomorrow, Brussels
Note

QC 20150410

Available from: 2015-01-22 Created: 2015-01-22 Last updated: 2015-04-10Bibliographically approved
Boman, M. & Gillblad, D. (2014). Learning Machines for Computational Epidemiology. In: Proceedings - 2014 IEEE International Conference on Big Data: . Paper presented at 2nd IEEE International Conference on Big Data, IEEE Big Data 2014; Washington; United States (pp. 1-5). Washington DC: IEEE conference proceedings
Open this publication in new window or tab >>Learning Machines for Computational Epidemiology
2014 (English)In: Proceedings - 2014 IEEE International Conference on Big Data, Washington DC: IEEE conference proceedings, 2014, p. 1-5Conference paper, Published paper (Refereed)
Abstract [en]

Resting on our experience of computational epidemiologyin practice and of industrial projects on analytics ofcomplex networks, we point to an innovation opportunity forimproving the digital services to epidemiologists for monitoring,modeling, and mitigating the effects of communicable disease.Artificial intelligence and intelligent analytics of syndromicsurveillance data promise new insights to epidemiologists, butthe real value can only be realized if human assessments arepaired with assessments made by machines. Neither massivedata itself, nor careful analytics will necessarily lead to betterinformed decisions. The process producing feedback to humanson decision making informed by machines can be reversed toconsider feedback to machines on decision making informed byhumans, enabling learning machines. We predict and argue forthe fact that the sensemaking that such machines can perform intandem with humans can be of immense value to epidemiologistsin the future.

Place, publisher, year, edition, pages
Washington DC: IEEE conference proceedings, 2014
National Category
Computer Systems
Identifiers
urn:nbn:se:kth:diva-159147 (URN)10.1109/BigData.2014.7004419 (DOI)2-s2.0-84921755559 (Scopus ID)
Conference
2nd IEEE International Conference on Big Data, IEEE Big Data 2014; Washington; United States
Note

QC 20150216

Available from: 2015-01-22 Created: 2015-01-22 Last updated: 2015-02-16Bibliographically approved
Boman, M. (2014). Speedwriting in Networked Foresight. In: Huizingh, K.R.E., Conn, S., Torkkeli, M. and Bitran, I. (Ed.), Innovation for Sustainable Economy & Society: The Proceedings of The XXV ISPIM Conference 2014. Paper presented at The XXV ISPIM Conference 2014 Dublin, Ireland - 8-11 June 2014. ISPIM Society
Open this publication in new window or tab >>Speedwriting in Networked Foresight
2014 (English)In: Innovation for Sustainable Economy & Society: The Proceedings of The XXV ISPIM Conference 2014 / [ed] Huizingh, K.R.E., Conn, S., Torkkeli, M. and Bitran, I., ISPIM Society , 2014Conference paper, Published paper (Refereed)
Abstract [en]

Networked foresight is an established means to achieve an understanding of trends, changes, disruptives, and ideas with high innovation potential. When managed successfully, it allows for the elicitation of knowledge from competent professionals, with complementary resources, assets, and capabilities, providing benefit both to partners and to the network as a whole. The Innovation Radar business catalyst of EIT ICT Labs (a virtual organisation of multi-nationals, research institutes, and academic institutions) has used speedwriting as an integral part of its structured brainstorming, with the aim of efficiently producing networked foresight with adequate depth and width. Speedwriting aids width in particular, as it prompts the inclusion of disruptives and speculative developments. Eight Innovation Radar workshops involving more than 100 experts in total have employed the speedwriting element to maximise value for the organisation. Since speedwriting is a largely undocumented method, its merits to strategic and corporate foresight are here scrutinised in detail.

Place, publisher, year, edition, pages
ISPIM Society, 2014
National Category
Economics and Business
Identifiers
urn:nbn:se:kth:diva-159144 (URN)978-952-265-591-2 (ISBN)
Conference
The XXV ISPIM Conference 2014 Dublin, Ireland - 8-11 June 2014
Note

QC 20150216

Available from: 2015-01-22 Created: 2015-01-22 Last updated: 2015-02-16Bibliographically approved
Boman, M. (2014). Who Were Where When?: On the Use of Social Collective Intelligence in Computational Epidemiology. In: Daniele Miorandi, Vincenzo Maltese, Michael Rovatsos, Anton Nijholt and James Stewart (Ed.), Social Collective Intelligence: (pp. 203-225). Switzerland: Springer
Open this publication in new window or tab >>Who Were Where When?: On the Use of Social Collective Intelligence in Computational Epidemiology
2014 (English)In: Social Collective Intelligence / [ed] Daniele Miorandi, Vincenzo Maltese, Michael Rovatsos, Anton Nijholt and James Stewart, Switzerland: Springer , 2014, p. 203-225Chapter in book (Refereed)
Abstract [en]

A triangular (case, theoretical, and literature) study approach is used to investigate if and how social collective intelligence is useful to computational epidemiology. The hypothesis is that the former can be employed for assisting in converting data into useful information through intelligent analyses by deploying new methods from data analytics that render previously unintelligible data intelligible. A conceptual bridge is built between the two concepts of crowd signals and syndromic surveillance. A concise list of empirical observations supporting the hypothesis is presented. The key observation is that new social collective intelligence methods and algorithms allow for massive data analytics to stay with the individual, in micro. It is thus possible to provide the analyst with advice tailored to the individual and with relevant policies, without resorting to macro (statistical) analyses of homogeneous populations.

Place, publisher, year, edition, pages
Switzerland: Springer, 2014
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
urn:nbn:se:kth:diva-159146 (URN)10.1007/978-3-319-08681-1_10 (DOI)978-3-319-08680-4 (ISBN)978-3-319-08681-1 (ISBN)
Note

QC 20150216

Available from: 2015-01-22 Created: 2015-01-22 Last updated: 2015-02-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-7949-1815

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