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Presentation to Social Frontiers conference by Marie J. Bouchard and Catherine Trudella
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A Relational Database For a Better Understanding of the Impacts of Social Innovation on Social Transformation
Marie J. BOUCHARD bouchard.marie@uqam.ca
Catherine TRUDELLE trudelle.catherine@uqam.ca
Social Frontiers: The Next Edge of Social Innovation Research 14-15 November 2013
Outline of the presentation Introduction The Center for research on social innovations – CRISES Social innovations and CRISES The province of Quebec and Montreal as study areas of
CRISES case studies The modeling of social innovations and the creation of a
relational database Epistemological and methodological issues and challenges
From qualitative analysis to quantitative analysis Examples of possible types of quantitative analyses
Conclusion Prospective research
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Le Centre de recherche sur les innovations sociales/ The Center for Research on Social Innovations- CRISES
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Founded in 1986 by P.R. Bélanger and B. Lévesque. Sixty researchers affiliated to 8 institutions and working a variety of disciplines:
geography, history, mathematics, philosophy, industrial relations, management sciences, economics, political science, sociology and social work.
Three complementary areas: Territory/ quality of life /work and employment
Part of research in partnership with social and economic actors. Its members play a central role in networking with civil society and in the transfer of knowledge
to the community.
Social innovation: New social arrangements (organizational or institutional), new products or services with an
explicit social goal Which result, voluntarily or not, from an action initiated by an individual or a group of individuals In order to respond to aspirations or needs, bring a solution to a problem or seize an opportunity In view to modify social relations, transform an action framework or propose new cultural
orientations. In finding takers, social innovations can lead to social transformations.
Montreal and the province of Quebec …as the study area of CRISES case studies
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Source: http://www.quebec-guidetouristique.travel/region.aspx
Population: 8 155 000 (2012) Langue: French Population of the metropolitan area of Montreal: 3 824 000 (2012) Urban structure
Most populous urban areas (2012) Montréal Québec (765 000) Laval (403 000) Gatineau (265 000) Longueuil (231 000)
http://pages.usherbrooke.ca/alabrecque/wordpress/archives/231
Figure 2. Where Quebecers live
Figure 1. Montreal in the province of Quebec (Canada)
Social innovation
Social transformation
Rad
ical
Increm
ental
Organizational governance
Institutional dimension
Institutional governance
Organizational dimension
Effect/impact Leadership Timeliness Aspiration
Collective action/ social movement
Context
Need/ Problem
Territory/ Sector
Associative density
Regulation/ policies
Case study/studied organization
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Figure 3. Scheme of the conceptual model on social innovations
From qualitative data to quantitative analysis
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Qualitative analysis
Quantitative analysis
Generalization New data mining New knowledge
« Total social fact » Initial coding New phenomenon
Figure 4. Combining qualitative and quantitative analyses
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Inventory of case studies (N≥500)
Evolution Web Integration Migration
Case study data analysis
Conceptual model
Logical model
Physical model (Software)
Data administration
Data processing
Figure 5. Steps for building the relational database on social innovation
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Inventory of case studies (N≥500)
Evolution Web Integration Migration
Case study data analysis
Conceptual model
Logical model
Physical model (Software)
Data administration
Data processing
Figure 5. Steps for building the relational database on social innovation
Conceptual thesaurus of more than 50 entries
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Inventory of case studies
Evolution Web Integration Migration
Case study data analysis
Conceptual model
Logical model
Physical model (Software)
Data administration
Data processing
Figure 5. Steps for building the relational database on social innovation
Nature, validity and interpretation of the data
Selection bias Description bias
Interpretation of the actors interviewed
Researcher bias
From qualitative data to quantitative analysis
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Loci/places
Tim
e
Spatio-temporal profile
Location Time Theme Profile
Fixed Controlled Measured Longitudinal
Controlled Fixed Measured Transversal
Controlled Measured Fixed Temporal
Measured Controlled Fixed Spatial
Fixed Measured Controlled Historical
Measured Fixed Controlled Regional
Figure 6. Sinton matrix. Possible types of quantitative analyses from a relational database with spatial reference
Source: Sinton, 1978
Illustrating by examples: Longitudinal profil/longitudinal analysis Research question: To what extent does the state institutional
framework influence the means—collective action and social innovations—used by organizations to respond to the needs and aspirations? E.g. Institutionalization process of daycare centers
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
From qualitative data to quantitative analysis
Photos CPE
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
The institutionalization of early childhood services Longitudinal profil/longitudinal analysis
Illustrating by examples: Longitudinal profil/longitudinal analysis
Institutionalization process of daycare centers Transversal profil/transversal analysis
Research question: Are there innovations that proved to be generic or radical during a determined period of time?
Co-production and co-construction E.g. Collective services, homecare services, community housing…
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
From qualitative data to quantitative analysis
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Transversal profile/transversal analysis
Co-production workers – users - Homecare services - Community housing - Daycare centers - Mental health community centers
Co-construction of public policy - Cross-ministries - Social groups participation - Collaborative implementation
Illustrating by examples: Longitudinal profil/longitudinal analysis
Institutionalization process of daycare centers Transversal profil/transversal analysis
Co-production and co-construction Collective services, homecare services, community housing…
Spatiotemporal profil/spatiotemporal analysis Research question: To what extent do the different types of
interactions between organizations have an influence on the development of certain types of social innovation? Are there innovative environments at particular periods?
E.g. Networks of social innovations/networking
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
From qualitative data to quantitative analysis
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Spatiotemporal profil/spatiotemporal analysis
Figure 7. Network of social innovations in Quebec city, 1966-2000.
Conclusion Quantifying social innovation, a paradox? How qualitative and quantitative can complement each
other? Comparative studies with other regions, countries. New methodological and conceptual grounds for research
on social innovation and social transformations.
Bouchard, M.-J., Trudelle, C., Briand, L., Klein, J.-L., Lévesque, B., Longtin, D., & M. Pelletier
Authors Marie J. BOUCHARD, Professor at Université du Québec à Montréal, holder of the Canada
Research Chair in the Social Economy, member of CRISES (Centre de recherche sur les innovations sociales); bouchard.marie@uqam.ca
Catherine TRUDELLE, Professor at Université du Québec à Montréal, holder of the Canada Research Chair in Socioterritorial Conflict and Local Governance, member of CRISES (Centre de recherche sur les innovations sociales); trudelle.catherine@uqam.ca
Louise, BRIAND, Professor at Université du Québec en Outaouais, Assistant Director of CRISES (Centre de recherche sur les innovations sociales); louise.briand@uqo.ca
Juan-Luis KLEIN, Professor at Université du Québec à Montréal, Director of CRISES (Centre de recherche sur les innovations sociales); klein.juan-luis@uqam.ca
Benoît LÉVESQUE, Professor Emeritus at Université du Québec à Montréal, Visiting Professor at École nationale d’administration publique, member of CRISES (Centre de recherche sur les innovations sociales); levesque.benoit@uqam.ca
David LONGTIN, Researcher at CRISES (Centre de recherche sur les innovations sociales); longtin.david@uqam.ca
Mathieu PELLETIER, Postdoctoral Researcher for the Canada Research Chair in Socioterritorial Conflict and Local Governance, Researcher at CRISES (Centre de recherche sur les innovations sociales); pelletier.mathieu@uqam.ca
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