Collective Spatial Analysis

4[p] Collection and Integration of Local Knowledge and Experience through a Collective Spatial Analysis.
Castillo-Rosas, J. D., Diez-Rodríguez, J. J., Jiménez-Vélez, A. F., Núñez-Andrés, M. A., & Monguet-Fierro, J. M. (2017). ISPRS International Journal of Geo-Information, 6(2), 33.
A prototype of a WEB-GSDSS allows a group of people to participate anonymously and asynchronously in a decision-making process to locate goods, services, or events through the convergence of their views. Two case studies for planning services in districts of Ecuador and Italy were carried out + [Paper]

[cp] Geospatial model e-health planning collective intelligence
Vélez, A. F. J., Rosas, J. D. C., & Fierro, J. M. M. (2016, March).
In eDemocracy & eGovernment (ICEDEG), 2016 Third International Conference on (pp. 121-125). IEEE.
A collective intelligence spatial model allowing creation of geospatial patterns on the territorial allocation of equipment and health services considering the needs of population. + [Paper]

Truth, damn truth & open data

Data providers users developers“Evidence of rats or live rats present in facility’s food and/or non-food areas”, this is the exact violation stated in the inspection form of a restaurant in the NY area. Anyone can download a spreadsheet with the nearly 40.000 violations of hygiene listed throughout all NY restaurants (1). It’s very easy to see for instance which kind of restaurants are guilty of each type of violation or simply, before observing a particular one, have a look at the latest inspection from the New York City Department of Health & Mental Hygiene.

Such data will describe how schools or hospitals perform, how restaurants or any other public service accomplish their duties or how mayor candidates spend their campaign budget. This type of data ought to belong to citizens. …more

Blending innovation in healthcare

Blending Innovation modes in healthcareIs there a best innovation mode in healthcare?

Quite often the three modes of innovation – user/producer/collaborative – (1) are seen as substitute instead of complementary strategies. So what should be done according to each innovation mode in the design and provision of a particular product or service? The question is not deciding which is the right mode for our organization but how to manage the blending of the three basic modes of innovation. The convenient interaction among them should maximize the innovation outputs.

Health professionals and patients, despite differences, may be considered individual innovators while the whole health system is in fact a huge collaborative space for innovation. Hospitals and healthcare centres along whit industry behave basically as independent producers in terms of innovation. Read more

Blended innovation: collective/user/producer

Innovation ModesInnovation by individual users and open collaborative innovation increasingly compete with producer (company) innovation in many areas. This is what Baldwin & von Hippel (2010) concluded in their research (1). From one side the change towards individual innovation is facilitated by increasingly digitized production practices and the availability of very low-cost, Internet-based communication. On the other hand the need for collaboration is a consequence of the increasing sophistication and complexity of products and services. Furthermore, acceleration of knowledge production is the direct responsible for the multiplying of innovation opportunities.

The table below summarizes the three modes of innovation… Read more

Measure of “Collective Intelligence”

c factorIn two studies with 699 people, working in groups of two to five, researchers found converging evidence of a general “collective intelligence” factor that explains a group’s performance on a wide variety of tasks. This “c factor” is not strongly correlated with the individual intelligence of group members but is correlated with the average social sensitivity of group members, the equality in distribution of conversational turn-taking, and the proportion of females in the group. According to authors “These findings raise many additional questions. For example, could a short collective intelligence test predict a sales team’s or a top management team’s long-term effectiveness?… Could a group’s collective intelligence be increased by, for example, better electronic collaboration tools?

Evidence for a Collective Intelligence Factor in the Performance of Human Groups.  Anita Williams Woolley Christopher F. Chabris Alex Pentland Nada Hashmi Thomas Malone. Science, October 2010. Vol. 330 no. 6004 pp. 686-688 Link

Participation methodologies

Focus Group
Powell, R. & Single, H. (1996)
A FG is a group of individuals selected and assembled by researchers to discuss and comment on, from personal experience, the topic that is the subject of the research. As a research technique, the focus group employs guided, interactional discussion as a means of generating the rich details of complex experiences and the reasoning behind actions, beliefs, perceptions and attitudes” This information can be used to identify potential areas of enquiry or to clarify subject matter that, by its nature, eludes other research instruments.  +

Nominal group technique: An effective method for obtaining group consensus.
Harvey, N. & Holmes, C. (2012) 
NTG is a structured method for capturing and aggregating opinions emerging from a group of experts. This technique may be considered a  particular case of Focus Group oriented towards generation of ideas, and follows 5 main steps:
1- The moderator presents a question or subject for discussion.
2- Experts, individually  write down  a list of ideas, proposals or answers.
3- Experts expose and clarify their ideas without any comment nor judgement from any of the rest of experts. During this period experts are free to add new ideas.
4- Individual and anonymous assessment and ranking of all the proposed ideas.
5- Presentation of the results by the moderator

Embracing Emergence: How Collective Impact Addresses Complexity
Kania, John & Kramer, Mark. (2013)
First articulated in the 2011 by John Kania &  Mark Kramer, Collective Impact is based in the commitment of a group of actors from different sectors to a common agenda for solving a specific social problem, using a structured form of collaboration.  +

Less noise, more hacking
DePasse, J.W., Carroll, R., et al.  (2014)
The “International Journal of Technology Assessment in Health Care” publishes an interesting article on a methodology developed by MIT in recent years, “hacking medicine to accelerate health care.” He maintains that efforts to develop new products in the health field are still costly and slow, and that new, more efficient strategies are needed. +
# La dinàmica hackathon arriba al sector de la salut. +

Collective | Bibliography

[B] The Diversity Bonus: How Great Teams Pay Off in the Knowledge Economy.
Page, S. E. (2017). Princeton University Press.
What if workforce diversity is more than simply the right thing to do in order to make society more integrated and just? What if diversity can also improve the bottom line of businesses and other organisations facing complex challenges in the knowledge economy? +

[B] Principles: Life and Work
Ray Dalio (2017)
One of the world’s most successful investors and entrepreneurs, shares the unconventional principles that he’s developed, refined, and used over the past forty years to create unique results in both life and business. + 

[B] Handbook of Collective Intelligence
Malone, T. W., & Bernstein, M. S. (2015). Handbook of collective intelligence. MIT Press.
Intelligence does not arise only in individual brains; it also arises in groups of individuals. This is collective intelligence: groups of individuals acting collectively in ways that seem intelligent. +

[B] New frontiers in open innovation
Chesbrough, H., Vanhaverbeke, W., & West, J. (Eds.). (2014). Oxford UP.
Staying competitive involves collaborating with others, and the underlying mechanisms of how to be efficient in cooperation has many angles. The paradigm shift that has led to open innovation demands new techniques and work models. +

[B] The wisdom of crowds
Surowiecki, J. (2005). Anchor.
Why the many are smarter than the few and how collective wisdom shapes business, economies, societies and nations? The aggregation of information in groups results in decisions that are often better than could have been made by any single member of the group. The book presents numerous case studies and anecdotes to illustrate its argument. +

[B] How I raised myself from Failure to success in selling
Frank Bettger. (1958). Hartcourt
Bettger, one of the best paid merchants in America, reveals his personal experiences and explains the principles he has developed and perfected over the years… +

[p] Collective decision-making in medecine
Max Wolf, Jens Krause, Patricia A. Carney, Andy Bogart, Ralf H. Kurvers.(2015). PLOS ONE, v. 10, n. 8.
The application of Collective Intelligence (CI) strategies may increase accuracy in medical decision-making. A study consisting in the application of CI techniques to mammography screening, allowed the aggregation of independent assessments of multiple radiologists into a single decision +

[p] Transcending the individual human mind—creating shared understanding through collaborative design
Arias, E., Eden, H., Fischer, G., Gorman, A., & Scharff, E. (2000). ACM Transactions on Computer-Human Interaction (TOCHI), 7(1). +

[p] Collaborative design: what is it?
Kvan, T. (2000). Automation in construction,9(4), 409-415. +

[n] Participation methodologies + [Notes]
Focus group
Nominal Group Technique (NTG)
Collective Impact
Hackathon

[n] Blended innovation: collective/user/producer
Huntingmammoths (2015)
Innovation by individual users, and open collaborative innovation, increasingly compete with producer (company) innovation in many areas. This is what Baldwin & von Hippel (2010) concluded in their research. + [Post]

[n] Blending innovation in healthcare
Huntingmammoths (2015)
Health professionals and patients, despite differences, may be considered individual innovators; while the whole health system is in fact a huge collaborative space for innovation. Hospitals and healthcare centres, along with industry, behave basically as independent producers in terms of innovation.  + [Post]

 

Collective | i&R

i&R to develop and assess participative tools and strategies

Research guided by innovation contributes to improve collaborative processes, where learning and investigation configures an environment, driven by knowledge. Activities are oriented to the validation of prototypes that combine design, technology and management. 

Working on Smart Delphi. Digitaly enhanced Delphi
Development of a tool and strategies to facilitate participative processes. +


Former research

Boston, June 2014, Collective Intelligence Conference at MIT. A perfect scenario to discuss the design of Smart Delphi and the huge research opportunities. Delphi has been modified in many ways since the 60’s, but nowadays digital strategies may propel creativity much more than before. (LR: Alex Trejo, Tino Martí and Josep Mª Monguet)

[bc] Assessment of Chronic Health Care through an internet consensus tool.
Monguet JMª, Trejo, A., Martí, T., Espallargues, M., Serra-Sutton, V., Escarrabill, J. (2015) . In “Handbook of Research on Trends in the Diagnosis and Treatment of Chronic. IGI Global.
An internet based application created to promote and facilitate the participation of health professionals in the definition of a set of indicators used in the assessment of chronic care  management + [Note]

[cp] Collective health policy making in the Catalan Health System: applying Health Consensus to priority setting and policy monitoring.
Marti, T., Monguet, JMª, Trejo, A., Escarrabill, J., & Constante, C. (2014). Collective Intelligence 2014. +
Health consensus introduces a breakthrough in health policy participation, allowing thousands of participants to come along regardless of geographic and professional limitations +

Colective intelligence education[wp] Collective Intelligence Education
The focus of the research is the conception and experimentation of models that promote collective intelligence education in the field of innovation.
Monguet, JMª, Meza, J. (2014). An educational model to improve collective intelligence of groups. Edulearn14. 6th international conference on education and new learning technologies (pp. 432-440). Barcelona: IATED Publications. +
Monguet, JMª, Meza, J. (2014). Guess the Score, Fostering Collective Intelligence in the Class. E-Learning, E-Education, and Online Training. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Volume 138. (pp. 116-122). Bethesda: Springer International Publishing. +

[wp] Design research
The project Dynamisation of Research in Design (dRD) aims at collaboration between companies and design schools based on the connection between design research and innovation. +
Monguet, JMª, Ferruzca, M. (2015)  Notas sobre investigación en diseño e innovación. Taller Servicio 24 horas. 20 . (pp. 17 -28). UAM. +
# BCD/Minitserio de Industria G. España. (2014).  Estudio de viabilidad para el impulso de una plataforma para la investigación en diseño guiada por la demanda de innovación. +

quinari vectorconsensus[bc] Vector Consensus Model 
Monguet, JMª; Gutiérrez, A.; Ferruzca, et al.  (2012). Organizational Integration of Enterprise Systems and Resources: Advancements and Applications. IGI Global.
Web 2.0 Participation has become a key strategy to take the right decisions in complex and multi-professional environments, and digital consensus tools allow the integration of costumers, users or employee’s points of view and interests +
Vector Consensus: Decision Making for Collaborative Innovation Communities
Monguet, JMª; Ferruzca, M.; Gutierrez, A.; et al. (2010). In ENTERprise Information Systems Communications in Computer and Information Science. Vol. 110. +

[p] The Barcelona Design System: Understanding the Past from the Present and Gathering Opinions Concerning the Future.
Calvera, A., Monguet, JMª. (2008). 6th International Conference of Design History and Design Studies, ICDHS 2008 OSAKA. +
#Calvera, A., Monguet, JMª. (2007).disseny_cat: elements per a una política de disseny a Catalunya. CIDEM. Generalitat de Catalunya. +

eBlood

eBlood is a system for the blood transfusion process in hospitals, and  is  intended for the comparison between the classical transfusion process and a new process based on RFID.

The project has been developed by LAM-UPC, i2Cat, and doctors from Sant Pau and The Clinic hospitals of Barcelona thanks to a grant from the Catalan Health Department.

eBlood: A Web 2.0 Simulation System for Blood Safety. Electronic Proceedings of The International eHealth, Telemedicine and Health ICT Forum for Educational, Networking and Business.  International Forum on Quality & Safety in Health Care 2011 Amsterdam

Vídeo presentación  Evaluación de la Seguridad del proceso de Transfusión Sanguínea  en FICOD (ES) 2012