Peter Groenewegen

Wood innovation in the residential construction sector; opportunities and constraints

We study the opportunities to increase the use of wood in the Dutch residential construction sector and assess the effects on material related CO2 emission. Four house types are modeled with increasing quantities of wood used in constructions. CO2 emission reductions of almost 50% are technically possible. We assess the innovation characteristics of these wood applications to create insights in the complexity of the necessary change process. Then we relate the innovation characteristics of the wood options to the context in which implementation of the technologies take place. The options vary strongly in the required technical and network changes and so do the opportunities to implement them. Based on this we expect that a 12% CO2 emission reduction related to material use for residential buildings is possible in the short term by an increased share of wood use. We also study the possibilities for increased wood recycling practices. A large technical potential exists. To achieve this potential a significant policy effort is needed since significant changes in both technical and network dimensions are necessary. To stimulate innovation in the use of wood in residential construction, important focus points of policy making should be the culture in the Dutch construction sector, the way new building projects are commissioned, research areas within the building sector, and stabilization of building networks.

Questioning Big Data: Crowdsourcing crisis data towards an inclusive humanitarian response

The aim of this paper is to critically explore whether crowdsourced Big Data enables an inclusive humanitarian response at times of crisis. We argue that all data, including Big Data, are socially constructed artefacts that reflect the contexts and processes of their creation. To support our argument, we qualitatively analysed the process of ‘Big Data making’ that occurred by way of crowdsourcing through open data platforms, in the context of two specific humanitarian crises, namely the 2010 earthquake in Haiti and the 2015 earthquake in Nepal. We show that the process of creating Big Data from local and global sources of knowledge entails the transformation of information as it moves from one distinct group of contributors to the next. The implication of this transformation is that locally based, affected people and often the original ‘crowd’ are excluded from the information flow, and from the interpretation process of crowdsourced crisis knowledge, as used by formal responding organizations, and are marginalized in their ability to benefit from Big Data in support of their own means. Our paper contributes a critical perspective to the debate on participatory Big Data, by explaining the process of in and exclusion during data making, towards more responsive humanitarian relief.

Bridging Between Professionals in Perinatal Care: Towards Shared Care in The Netherlands

Relatively high perinatal mortality rates in the Netherlands have required a critical assessment of the national obstetric system. Policy evaluations emphasized the need for organizational improvement, in particular closer collaboration between community midwives and obstetric caregivers in hospitals. The leveled care system that is currently in place, in which professionals in midwifery and obstetrics work autonomously, does not fully meet the needs of pregnant women, especially women with an accumulation of non-medical risk factors. This article provides an overview of the advantages of greater interdisciplinary collaboration and the current policy developments in obstetric care in the Netherlands. In line with these developments we present a model for shared care embedded in local ‘obstetric collaborations’. These collaborations are formed by obstetric caregivers of a single hospital and all surrounding community midwives. Through a broad literature search, practical elements from shared care approaches in other fields of medicine that would suit the Dutch obstetric system were selected. These elements, focusing on continuity of care, patient centeredness and interprofessional teamwork form a comprehensive model for a shared care approach. By means of this overview paper and the presented model, we add direction to the current policy debate on the development of obstetrics in the Netherlands. This model will be used as a starting point for the pilot-implementation of a shared care approach in the ‘obstetric collaborations’, using feedback from the field to further improve it.

Application of semantic technology for social network analysis in the sciences

SummaryThe use of electronic data is steadily gaining ground in the study of the social organization of scientific and research communities, decreasing the researchers reliance on commercial databases of bibliographic entries, patents grants and other manually constructed records of scientific works. In our work we provide a methodological innovation based on semantic technology for dealing with heterogeneity in electronic data sources. We demonstrate the use of our electronic system for data collection and aggregation through a study of the Semantic Web research community. Using methods of network analysis, we confirm the effect of Structural Holes and provide novel explanations of scientific performance based on cognitive diversity in social networks.

The Association of Neighborhood Social Capital and Ethnic (Minority) Density with Pregnancy Outcomes in the Netherlands

Background Perinatal morbidity rates are relatively high in the Netherlands, and significant inequalities in perinatal morbidity and mortality can be found across neighborhoods. In socioeconomically deprived areas, ‘Western’ women are particularly at risk for adverse birth outcomes. Almost all studies to date have explained the disparities in terms of individual determinants of birth outcomes. This study examines the influence of neighborhood contextual characteristics on birth weight (adjusted for gestational age) and preterm birth. We focused on the influence of neighborhood social capital – measured as informal socializing and social connections between neighbors – as well as ethnic (minority) density. Methods Data on birth weight and prematurity were obtained from the Perinatal Registration Netherlands 2000–2008 dataset, containing 97% of all pregnancies. Neighborhood-level measurements were obtained from three different sources, comprising both survey and registration data. We included 3.422 neighborhoods and 1.527.565 pregnancies for the birth weight analysis and 1.549.285 pregnancies for the premature birth analysis. Linear and logistic multilevel regression was performed to assess the associations of individual and neighborhood level variables with birth weight and preterm birth. Results We found modest but significant neighborhood effects on birth weight and preterm births. The effect of ethnic (minority) density was stronger than that of neighborhood social capital. Moreover, ethnic (minority) density was associated with higher birth weight for infants of non-Western ethnic minority women compared to Western women (15 grams; 95% CI: 12,4/17,5) as well as reduced risk for prematurity (OR 0.97; CI 0,95/0,99). Conclusions Our results indicate that neighborhood contexts are associated with birth weight and preterm birth in the Netherlands. Moreover, ethnic (minority) density seems to be a protective factor for non-Western ethnic minority women, but not for Western women. This helps explain the increased risk of Western women in deprived neighborhoods for adverse birth outcomes found in previous studies.

Online Communities: Challenges and Opportunities for Social Network Research

Online communities form a challenging and still-evolving field for social network research. We highlight two themes that are at the core of social network literature: formative processes and structures, and discuss how these might be relevant in the context of online communities. Processes of tie formation might evolve differently in online communities. Second, we discuss how network structures emerge in different ways than previously studied, and should therefore be interpreted differently.

GLOBAL RESTRUCTURING— A PLACE FOR ECOLOGY?

This introductory article summarizes the discussions and results of the Fifth Annual Greening of Industry Conference, Global RestructuringÐA Place for Ecology?, held in Heidelberg, Germany, November 25-27, 1997. The Greening of Industry Network is concerned with the transition of industry towards sustainable production as an essential part of achieving a sustainable society. The Network conferences, held at different locations around the world, promote this goal by bringing together participants from different regions and with different backgrounds (academia, industry, governments and NGOs). The conferences are venues for information exchange, learning and dialogue about different aspects of the greening of industry and possible pathways to a sustainable society.

Organizational factors influencing scholarly performance: a multivariate study of biomedical research groups

Bibliometric studies often measure and compare scholarly performance, but they rarely investigate why universities, departments, and research groups do have different performance. In this paper we try to explain differences in scholarly performance of research groups in terms of organizational variables. In order to do this, we extensively review the relevant literature, and develop a model using two theoretical approaches. A multivariate analysis shows which of the independent variables do play a role in the various scholarly performance dimensions. The study shows what organizational strategies may help in optimizing performance in various dimensions. Implications are discussed.

Environmental technology foresight: New horizons for technology management

Decision-making in corporate technology management and government technology policy is increasingly influenced by the environmental impact of technologies. Technology foresight (TF) and environmental impact assessment (EIA) are analyzed with regard to the roles they can play in developing long-term strategies and policies for reducing the environmental impact of technologies. The methods for TF and EIA are quite well developed, but remain within a tradition of rational decision-making. However, recent studies of tecnology management and innovation have shown that technology development can be explained only to a certain degree by rational decision-making. EIA is usually presented as an objective and scientific method, based on normative underpinnings that usually remain hidden. Thus, systematic information-providing instruments such as TF and EIA can play only a limited role. We propose a procedure for environmental technology foresight. The case is made that environmental technology management will be mo...

Incorporating time dynamics in the analysis of social networks in emergency management

Abstract Timely and adequate communication is essential for the response to emergency situations. The current vision on emergency response embraces the networked organization as an answer to the dilemmas of communication and information flows in crisis situations. With stabilization of the network paradigm, the focus question turns into how networks are perceived and in what manner they function. We argue that there is a need to attend to the way networks and their functioning are assessed. From the agenda that we derive, we pay attention to the manner in which the time critical nature of the communication during emergency situations can be captured in network terms. The focus on how network interaction unfolds over time is demonstrated by attending to a case of a tunnel incident in the Netherlands. It is argued that a structure-oriented network analysis misses much of the actions and that using the data to probe the communication patterns with additional methods for time dependency enhances our insights. Three approaches, time slices, two-mode analysis and information pathways, are then introduced and the outcomes are interpreted.