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Sam Desiere

Biographic Data

ID4238609
NAMESam Desiere
GIVEN NAMESSam
FAMILY NAMEDesiere
SIGNATUREDESIERE S
AFFILIATIONSGhent University
ORCID0000-0001-7167-8466
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS93
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2021
H-INDEX4
  • Using Artificial Intelligence to classify Jobseekers

    Open Access•Sam Desiere, Ludo Struyven•ARTICLE•Journal of Social Policy•2021•Cited by: 8•References: 25

    Artificial intelligence (AI) is increasingly popular in the public sector to improve the cost-efficiency of service delivery. One example is AI-based profiling models in public employment services (PES), which predict a jobseeker's probability of finding work and are used to segment jobseekers in groups. Profiling models hold the potential to improve identification of jobseekers at-risk of becoming long-term unemployed, but also induce discrimina…

  • Religion, Food Choices, and Demand Seasonality

    Open Access•Eline D’Haene, Sam Desiere et al.•ARTICLE•Foods•2019

    The impact of religious behavior on food systems in developing economies has been understated in scholarly studies. With its different Christian, Islamic, and traditional faiths, Ethiopia emerges as a suitable country to investigate the impact of religious practices on demand. The inclusion of livestock products in Ethiopian diets is extremely low, even by African standards, a phenomenon often explained by supply and marketing problems combined w…

  • The Rwandan agrarian and land sector modernisation

    An Ansoms, Giuseppe Cioffo et al.•ARTICLE•Review of African Political Economy•2018•Cited by: 17•References: 9

    Rwanda has embarked on an ambitious policy package to modernise and professionalise the agrarian and land sector. Its reform fits into a broader call – supported by major international donors – to implement a Green Revolution in Sub-Saharan Africa. After 10 years of implementation, there is increased production output and value-addition in commercialised commodity chains. These are promising results. However, poverty reduction, particularly in mo…

  • Contract farming for improving smallholder incomes

    Open Access•Giel Ton, Wytse Vellema et al.•ARTICLE•World Development•2017•Cited by: 39•References: 6

  • Land productivity and plot size

    Open Access•Sam Desiere, Dean Jolliffe•ARTICLE•Journal of Development Economics•2017•Cited by: 29•References: 8

  • When the Data Source Writes the Conclusion

    Sam Desiere, Lotte Staelens et al.•ARTICLE•The Journal of Development Studies•2016

    Statistics describe realities, but they also shape them, since they are used to design or support policies. As such accurate statistics are important. Using the agricultural sector in Rwanda as a case study, we demonstrate that dubious statistics can spread quickly. According to data from the Food and Agricultural Organization (FAO), yields have increased by 60 per cent since the implementation of large scale agricultural reforms, while other dat…

  • Assessing the cross-sectional and inter-temporal validity of the Household Food Insecurity Access Scale (HFIAS) in Burundi

    Open Access•Sam Desiere, Marijke D’haese et al.•ARTICLE•Public Health Nutrition•2015

    Objective To examine the cross-sectional and inter-temporal validity of the Household Food Insecurity Access Scale (HFIAS) for rural households in Burundi. Design Longitudinal survey about food security and agricultural production, individually administered by trained interviewers in June 2007 and 2012. Setting Ngozi, north of Burundi. Subjects Three hundred and fourteen household heads were interviewed. Results Tobit models showed that the HFIAS…

  • Contract farming for improving smallholder incomes

    Open Access•Giel Ton, Wytse Vellema et al.•ARTICLE•World Development•2017•Cited by: 39•References: 6

  • Land productivity and plot size

    Open Access•Sam Desiere, Dean Jolliffe•ARTICLE•Journal of Development Economics•2017•Cited by: 29•References: 8

  • The Rwandan agrarian and land sector modernisation

    An Ansoms, Giuseppe Cioffo et al.•ARTICLE•Review of African Political Economy•2018•Cited by: 17•References: 9

    Rwanda has embarked on an ambitious policy package to modernise and professionalise the agrarian and land sector. Its reform fits into a broader call – supported by major international donors – to implement a Green Revolution in Sub-Saharan Africa. After 10 years of implementation, there is increased production output and value-addition in commercialised commodity chains. These are promising results. However, poverty reduction, particularly in mo…

  • Using Artificial Intelligence to classify Jobseekers

    Open Access•Sam Desiere, Ludo Struyven•ARTICLE•Journal of Social Policy•2021•Cited by: 8•References: 25

    Artificial intelligence (AI) is increasingly popular in the public sector to improve the cost-efficiency of service delivery. One example is AI-based profiling models in public employment services (PES), which predict a jobseeker's probability of finding work and are used to segment jobseekers in groups. Profiling models hold the potential to improve identification of jobseekers at-risk of becoming long-term unemployed, but also induce discrimina…

  • Assessing the cross-sectional and inter-temporal validity of the Household Food Insecurity Access Scale (HFIAS) in Burundi

    Open Access•Sam Desiere, Marijke D’haese et al.•ARTICLE•Public Health Nutrition•2015

    Objective To examine the cross-sectional and inter-temporal validity of the Household Food Insecurity Access Scale (HFIAS) for rural households in Burundi. Design Longitudinal survey about food security and agricultural production, individually administered by trained interviewers in June 2007 and 2012. Setting Ngozi, north of Burundi. Subjects Three hundred and fourteen household heads were interviewed. Results Tobit models showed that the HFIAS…

  • When the Data Source Writes the Conclusion

    Sam Desiere, Lotte Staelens et al.•ARTICLE•The Journal of Development Studies•2016

    Statistics describe realities, but they also shape them, since they are used to design or support policies. As such accurate statistics are important. Using the agricultural sector in Rwanda as a case study, we demonstrate that dubious statistics can spread quickly. According to data from the Food and Agricultural Organization (FAO), yields have increased by 60 per cent since the implementation of large scale agricultural reforms, while other dat…

  • Contract farming for improving smallholder incomes

    Open Access•Giel Ton, Wytse Vellema et al.•ARTICLE•World Development•2017•Cited by: 39•References: 6

  • Land productivity and plot size

    Open Access•Sam Desiere, Dean Jolliffe•ARTICLE•Journal of Development Economics•2017•Cited by: 29•References: 8

  • The Rwandan agrarian and land sector modernisation

    An Ansoms, Giuseppe Cioffo et al.•ARTICLE•Review of African Political Economy•2018•Cited by: 17•References: 9

    Rwanda has embarked on an ambitious policy package to modernise and professionalise the agrarian and land sector. Its reform fits into a broader call – supported by major international donors – to implement a Green Revolution in Sub-Saharan Africa. After 10 years of implementation, there is increased production output and value-addition in commercialised commodity chains. These are promising results. However, poverty reduction, particularly in mo…

  • Religion, Food Choices, and Demand Seasonality

    Open Access•Eline D’Haene, Sam Desiere et al.•ARTICLE•Foods•2019

    The impact of religious behavior on food systems in developing economies has been understated in scholarly studies. With its different Christian, Islamic, and traditional faiths, Ethiopia emerges as a suitable country to investigate the impact of religious practices on demand. The inclusion of livestock products in Ethiopian diets is extremely low, even by African standards, a phenomenon often explained by supply and marketing problems combined w…

  • Using Artificial Intelligence to classify Jobseekers

    Open Access•Sam Desiere, Ludo Struyven•ARTICLE•Journal of Social Policy•2021•Cited by: 8•References: 25

    Artificial intelligence (AI) is increasingly popular in the public sector to improve the cost-efficiency of service delivery. One example is AI-based profiling models in public employment services (PES), which predict a jobseeker's probability of finding work and are used to segment jobseekers in groups. Profiling models hold the potential to improve identification of jobseekers at-risk of becoming long-term unemployed, but also induce discrimina…

Economics (6 works) · Agriculture (5 works) · Geography (5 works) · Agricultural economics (3 works) · Econometrics (3 works) · Production (economics (3 works) · Agricultural Innovations and Practices (2 works) · Agricultural productivity (2 works) · Business (2 works) · Development economics (2 works)

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