A Relational Database For a Better Understanding of the Impacts of Social Innovation on Social Transformation

A Relational Database For a Better Understanding of the Impacts of Social Innovation on Social Transformation

Marie J. BOUCHARD [email protected]

Catherine TRUDELLE [email protected]

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); [email protected]

  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); [email protected]

  Louise, BRIAND, Professor at Université du Québec en Outaouais, Assistant Director of CRISES (Centre de recherche sur les innovations sociales); [email protected]

  Juan-Luis KLEIN, Professor at Université du Québec à Montréal, Director of CRISES (Centre de recherche sur les innovations sociales); [email protected]

  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); [email protected]

  David LONGTIN, Researcher at CRISES (Centre de recherche sur les innovations sociales); [email protected]

  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); [email protected]