Adaptive governance describes the purposeful collective actions to resist, adapt, or transform when faced with shocks. As governments are reluctant to intervene in informal settlements, community based organisations (CBOs) self-organize and take he lead. This study explores under what conditions CBOs in Mathare informal settlement, Nairobi initiate and sustain resilience activities during Covid-19. Study findings show that CBOs engage in multiple resilience activities, varying from maladaptive and unsustainable to adaptive, and transformative. Two conditions enable CBOs to initiate resilience activities: bonding within the community and coordination with other actors. To sustain these activities over 2.5 years of Covid-19, CBOs also require leadership, resources, organisational capacity, and network capacity. The same conditions appear to enable CBOs to engage in transformative activities. How-ever, CBOs cannot transform urban systems on their own. An additional condition, not met in Mathare, is that governments, NGOs, and donor agencies facilitate, support, and build community capacities. This is the peer reviewed version of the following article: Adaptive governance by community-based organisations: Community resilience initiatives during Covid‐19 in Mathare, Nairobi. which has been published in final form at doi/10.1002/sd.2682. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions
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Challenges that surveys are facing are increasing data collection costs and declining budgets. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done into the effect on quality and costs of reducing the use of interviewers in mixed-mode surveys starting with internet observation, followed by telephone or face-to-face observation of internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. Currently, adaptive survey design is an option in redesigns of social surveys at Statistics Netherlands. In 2018 it has been implemented in the Health Survey and the Public Opinion Survey, in 2019 in the Life Style Monitor and the Leisure Omnibus, in 2021 in the Labour Force Survey, and in 2022 it is planned for the Social Coherence Survey. This paper elaborates on the development of the adaptive survey design for the Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and the six-month parallel design with corresponding response results.
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Adaptive survey design has attracted great interest in recent years, but the number of case studies describing actual implementation is still thin. Reasons for this may be the gap between survey methodology and data collection, practical complications in differentiating effort across sample units and lack of flexibility of survey case management systems. Currently, adaptive survey design is a standard option in redesigns of person and household surveys at Statistics Netherlands and it has been implemented for the Dutch Health survey in 2018. In this article, the implementation of static adaptive survey designs is described and motivated with a focus on practical feasibility.
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While the creation of an energy deficit (ED) is required for weight loss, it is well documented that actual weight loss is generally lower than what expected based on the initially imposed ED, a result of adaptive mechanisms that are oppose to initial ED to result in energy balance at a lower set-point. In addition to leading to plateauing weight loss, these adaptive responses have also been implicated in weight regain and weight cycling (add consequences). Adaptions occur both on the intake side, leading to a hyperphagic state in which food intake is favored (elevated levels of hunger, appetite, cravings etc.), as well as on the expenditure side, as adaptive thermogenesis reduces energy expenditure through compensatory reductions in resting metabolic rate (RMR), non-exercise activity expenditure (NEAT) and the thermic effect of food (TEF). Two strategies that have been utilized to improve weight loss outcomes include increasing dietary protein content and increasing energy flux during weight loss. Preliminary data from our group and others demonstrate that both approaches - especially when combined - have the capacity to reduce the hyperphagic response and attenuate reductions in energy expenditure, thereby minimizing the adaptive mechanisms implicated in plateauing weight loss, weight regain and weight cycling. Past research has largely focused on one specific component of energy balance (e.g. hunger or RMR) rather than assessing the impact of these strategies on all components of energy balance. Given that all components of energy balance are strongly connected with each other and therefore can potentially negate beneficial impacts on one specific component, the primary objective of this application is to use a comprehensive approach that integrates all components of energy balance to quantify the changes in response to a high protein and high energy flux, alone and in combination, during weight loss (Fig 1). Our central hypothesis is that a combination of high protein intake and high energy flux will be most effective at minimizing both metabolic and behavioral adaptations in several components of energy balance such that the hyperphagic state and adaptive thermogenesis are attenuated to lead to superior weight loss results and long-term weight maintenance.
The Hanzehogeschool Groningen (HUAS hereafter) is a University of Applied Sciences that is strongly inspired by the challenges of the North Netherlands region and firmly embedded in the city of Groningen in particular. HUAS has a strong track record in education, and practice-based research, and is dedicated to enhancing innovation and entrepreneurship. HUAS currently has 31,000 students Bachelor and Master students in 70 teaching programs. The 3.000 member of staff forming 17 schools and 7 centres of applied research collaborate to offer a cutting-edge teaching-based research. HUAS took the challenge to develop a strong research capacity with 67 professors, and an increasing number of researchers at various levels, supported by dedicated technical and administration support staff. PhD research thesis are co-supervised in collaboration with various universities in the Netherlands and abroad. HUAS positions itself as an Engaged and Versatile university, both in education and research. In line with this, the overall strategic ambitions of HUAS are to develop suitable learning pathways with recognised qualifications; to conduct applied research with a visible impact on education and society; and to be an adaptive, versatile and approachable organisation. HUAS links these strategic ambitions to three strategic research themes: Energy, Healthy Ageing and Entrepreneurship and four societal themes: strengthening a liveable and sustainable North Netherlands; transition to a healthy and active society; digital transformation; and energy transition and circularity. These four challenges define the focus of HUAS education and research.One of the societal themes is explicitly linked to the region: strengthening a liveable and sustainable North Netherlands. North Netherlands is a powerful, enterprising region with the city of Groningen as the healthiest city in the Netherlands. The region is a front runner in the energy transition, has a European exemplary role in the field of active and healthy ageing, and as an agricultural region, has many opportunities for the development of the circular economy and consequently the development of biobased construction material to mitigate climate change. Cooperation with different groups and stakeholders in the region is central in HUAS’s strategy. HUAS is part of extensive local and regional networks, including the University of the North and Akkoord van Groningen. As such, HUAS is well- connected to the research ecosystem in North Netherlands.HUAS has the ambition to better align, connect & develop on a local as well as a regional, national and international levels. Many of the challenges the North is faced with are also relevant in the EU context. Therefore, HUAS is a strong advocate and actor on engaging in European projects. HUAS monitors regularly the EU’s priorities and aligns its research between these priorities and its immediate societal needs. The EU provides a range of funding opportunities that fulfil our ambition as a research and teaching university and responds directly to our challenges from social, energy, and digital transformation. Indeed, over the last decade, HUAS has been successful in European programmes. In the Horizon 2020 programme, HUAS was part of five approved projects. In Horizon Europe so far two projects were granted. HUAS has performed particular well in the EU societal challenge for a secure, clean and efficient energy system. Examples of this are Making City (https://makingcity.eu/) focussing on the developing Positive Energy Districts, and IANOS (https://ianos.eu/) about the decarbonisation of islands. In addition to EU research and innovation schemes, HUAS has a considerable track record in projects funded by the Interreg schemes. In particular, these types of projects have strong links with region, and partners in the region. Currently, EU participation and involvement of HUAS is mainly concentrated in one field: sustainability & energy. In order to further disseminate to other parts of the university, only a well-designed strategy will allow the various research centres to better reach European fundings and satisfy the university’s ambitions. However, so far, no structured mechanism is in place internally to guide the research community and regional stakeholders how to reach European collaboration with confidence. Therefore, this pilot project aims to develop a strategic framework to enhance the participation of all parties at HUAS, including a pilot project that will lead to improvement and validation.
