ENBIS: European Network for Business and Industrial Statistics
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ENBIS Spring Meeting 2018
4 – 6 June 2018; Florence, Italy Abstract submission: 17 November 2017 – 20 April 2018The following abstracts have been accepted for this event:
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Perspective of sustainable climate service for small scale farmers in Africa
Authors: Moammar Dayoub (Turku University), Erkki Sutinen (Turku University), Mikko Apiola (Turku University), Jaakko Helminen (Turku University), Ville Myllynpää (Turku University)
Primary area of focus / application: Business
Keywords: sustainable climate service,, small scale farmers,, co-design,, Africa
Submitted at 17-Apr-2018 11:44 by Moammar Dayoub
Accepted
The main focus of the project is using a co-design based development of a mobile climate service application aimed at the local farmers in Tanzania. In the second phase of the project, the results will scaled up also in other areas. The application built the functions, which shares climate knowledge (based on the climate and weather data) and provides knowledge about new farming techniques, best practices and adaptation measures to local farmers. It will also help farmers to use this knowledge to choose crops and seeds, growing methods, as well as sowing and harvesting times, which are better suited for the changing climate. It can also include additional features, such as insurance against drought, market platform for selling extra harvest and even funding tool to allow farmers to invest into new growing techniques. This process will eventually help farmers improve their income generation, through improved yields and higher cash crops.
At the core of the whole project and one of its key added values is co-design; it implies the continuous exchange of ideas, the co-development of the climate service in a coordinated way and a co-learning process as the stakeholders will create an open platform in a truly participatory method with the local stakeholders. One important goal is to enhance the potential of small scale farming and its capacity to offer improved livelihood to a growing number of people. Making farming interesting for new generations by introducing new innovative methods will make small scale farming more attractive to young people, who now flee to the cities in hope of better livelihood and too often end up in the streets or migrate. It will also ensure that small scale food production has a future and ensure food security in the most vulnerable areas.
Sustainable business research will be used to help developing both a sustainable revenue and a business models for the application and providing farmers´ additional income sources, through improved agriculture practices. The aim is to develop a sustainable business model, which will allow the project to sustain itself and continue to operate without external funding, after the initial project development funding has ended. This is important, since nowadays, unfortunately, many promising projects fail after the funding period ends.
We need to support various business opportunities, both for local companies and organisations, as well as for international companies, by providing research knowledge about climate knowledge services in the agriculture sector. -
Designing and conducting discrete choice experiments with the R-package idefix
Authors: Martina Vandebroek (KU Leuven), Frits Traets (KU Leuven)
Primary area of focus / application: Design and analysis of experiments
Secondary area of focus / application: Business
Keywords: Discrete Choice Experiments, Design of experiments, R-package, idefix
Submitted at 18-Apr-2018 10:36 by Martina Vandebroek
Accepted
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Strategies for employing DOE to develop processes with variation in customer use
Authors: Jacqueline Asscher (Kinneret College)
Primary area of focus / application: Design and analysis of experiments
Secondary area of focus / application: Consulting
Keywords: DOE, strategy, factors, levels, customer use
Submitted at 18-Apr-2018 10:44 by Jacqueline Asscher
Accepted
Common to all three scenarios is the nature of the product. It is used by the customer with either a variety of their own products, or under varying conditions, or both. For example, our printer is used by the customer to print a variety of fabrics with a variety of inks; our packaging system is used by the customer to pack different types of produce at varying conditions of temperature and humidity, and then stored under different conditions; our plastic agricultural product is used in a variety of fields or orchards, etc. Note that conditions of use include both random and fixed effects, for example, in the case of the ink or the produce, there are both types and batches of ink and produce.
Scenario 1: The product/process has been developed. We aim to characterize the conditions of use e.g. define “our product works at temperatures below 40C”, “our system can be used to package the following types of produce…”
Scenario 2: A completely new product/process is being developed. We aim to both enable it to work with a wide range of conditions of use and to characterize the conditions of use.
Scenario 3: We have a range of existing products/processes, with available field data from beta testing, complaints, and service records. A new product/process, similar to existing ones, is being developed. We aim to both enable it to work with a wide range of conditions of use and to characterize the conditions of use.
This talk includes an opportunity for conference participants to discuss the issues raised. -
An Integrated Approach For Measuring Matching And Strength In Green Brand Associations Through Text-Mining Techniques And Log-Linear Models
Authors: Silvia Ranfagni (Department of Economics and Management, University of Florence), Nedka Dechkova Nikiforova (Department of Statistics, Computer Science, Applications “G. Parenti”, University of Florence)
Primary area of focus / application: Business
Keywords: Green Brand, Green Brand Associations, Sustainability, Text-Mining, Hybrid Log Linear Models
Submitted at 19-Apr-2018 14:15 by Nedka Dechkova Nikiforova
Accepted
REFERENCES:
1) Goodman L. A. (1965). On the Statistical Analysis of the Mobility Tables. American Journal of Sociology, 70(5): 564-584.
2) Bishop Y. M., Fienberg S. E. and Hollande P. W. (1975). Discrete Multivariate Analysis: Theory and Practice. Cambridge: MIT Press.
3) Fingleton B. (1984). Models of Category Counts. Cambridge: Cambridge University Press. -
Bayesian sequential design approach for multi-objectives applications
Authors: Matteo Borrotti (Energia Crescente S.r.l. and CNR-IMATI)
Primary area of focus / application: Design and analysis of experiments
Keywords: Sequential experimental design, Multi-objective optimization, Pareto optimality, Bayesian framework
Submitted at 20-Apr-2018 10:45 by Matteo Borrotti
Accepted
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Experimental designs suitable for cases with varying error variances
Authors: Garima Priyadarshini (Imperial College London)
Primary area of focus / application: Design and analysis of experiments
Secondary area of focus / application: Modelling
Keywords: Design of experiments, Heteroscedasticity, Sparse design matrix, Efficient designs
Submitted at 20-Apr-2018 13:54 by Garima Priyadarshini
Accepted
This work aims at defining a methodology to obtain suitable experimental designs for processes that exhibit random error variances. The methodology proposes designs with sparse associated design matrices, tailored to facilitate estimation of the treatment effects of interest. As presence of heteroscedasticity makes the treatment effect estimates non consistent, the utility of these designs lies in the fact that the estimate of the variance of treatment effect estimates are brought close to their OLS counterpart by means of utilizing this sparsity in the design matrix. The proposed designs are, thus, the most efficient for estimating the effects of interest when the error variances are not same.