A Mathematical Programming Approach to Applicant Selection for a Degree Program Based on Affirmative Action

Durán, Guillermo; Wolf-Yadlin, Rodrigo

doi:10.1287/inte.1100.0542

Cited by 27 publications

(3 citation statements)

References 6 publications

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“…For example, Bertsimas et al (2013) ensure that the percentage distribution of (kidney) transplant recipients across different population groups are above specified lower bounds. Similarly, in an applicant selection model Duran and Wolf-Yadlin (2011) ensure diversity in the selected team in order to represent certain population groups.…”

Section: Diversity Concernsmentioning

confidence: 99%

Inequity averse optimization in operational research

Karsu

Morton

2015

European Journal of Operational Research

135

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a b s t r a c tThere are many applications across a broad range of business problem domains in which equity is a concern and many well-known operational research (OR) problems such as knapsack, scheduling or assignment problems have been considered from an equity perspective. This shows that equity is both a technically interesting concept and a substantial practical concern. In this paper we review the operational research literature on inequity averse optimization. We focus on the cases where there is a tradeoff between efficiency and equity.We discuss two equity related concerns, namely equitability and balance. Equitability concerns are distinguished from balance concerns depending on whether an underlying anonymity assumption holds. From a modeling point of view, we classify three main approaches to handle equitability concerns: the first approach is based on a Rawlsian principle. The second approach uses an explicit inequality index in the mathematical model. The third approach uses equitable aggregation functions that can represent the DM's preferences, which take into account both efficiency and equity concerns. We also discuss the two main approaches to handle balance: the first approach is based on imbalance indicators, which measure deviation from a reference balanced solution. The second approach is based on scaling the distributions such that balance concerns turn into equitability concerns in the resulting distributions and then one of the approaches to handle equitability concerns can be applied.We briefly describe these approaches and provide a discussion of their advantages and disadvantages. We discuss future research directions focussing on decision support and robustness.

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Section: Diversity Concernsmentioning

confidence: 99%

Inequity averse optimization in operational research

Karsu

Morton

2015

European Journal of Operational Research

135

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“…There has been an increasing focus on applying data science technologies to understand and enhance the EDI in STEM education, primarily focusing on the demand side. For example, mathematical programming and machine learning are leveraged to incorporate diversity considerations into the student group formations (Cutshall et al 2007, Maass et al 2015 and degree program admissions (Durán and Wolf-Yadlin 2011). Less attention from the data science community has been placed on the supply side.…”

Section: Introductionmentioning

confidence: 99%

Text Mining Undergraduate Engineering Programs' Applications: the Role of Gender, Nationality, and Socio-economic Status

Ghaddar²,

Hurst

2021

Preprint

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Authors are encouraged to submit new papers to INFORMS journals by means of a style file template, which includes the journal title. However, use of a template does not certify that the paper has been accepted for publication in the named journal. INFORMS journal templates are for the exclusive purpose of submitting to an INFORMS journal and should not be used to distribute the papers in print or online or to submit the papers to another publication.

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“…This method has been used in several studies and there is one example of its practical implementation in Chile, where the CO model assisted in making high-quality and transparent admissions decisions (Duran & Wolf-Yadlin, 2011). The research shows that CO facilitates the admissions of a diverse pool of students while maintaining the indexes of study success.…”

Section: Theme #4 Innovative Approaches To Student Selectionmentioning

confidence: 99%

Admissions to Graduate Studies: Selection Methods for Life and Natural Sciences Masters’ Programs at a European Research University

Kurysheva¹

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As depicted in Figure 1, masters' programs in the Netherlands typically last one year (60 ECTS 1 points) in the social sciences and humanities, two years (120 ECTS points) in the life and natural sciences, and three years (180 ECTS points) in medical studies. A specific category of masters' programs-research masters' programs-was launched in 2003. These programs prepare students for a research career within and outside academia (Accreditation Organization of the Netherlands and Flanders [NVAO], 2016). Three main features that distinguish research masters' from taught (or academic) masters' are: (1) their positioning toward research-intensive education (e.g., research internships typically constitute components of such masters' programs), ( 2) duration (two years and 120 ECTS credits instead of one year and 60 ECTS credits), and (3) selectiveness (Snijder, 2016). In this thesis, the empirical studies are conducted on students in research masters' programs. Accreditation Organization of the Netherlands and Flanders. (2016). Specification of additional criteria for research master's programmes. https://www.nvao.net/files/attachments/.1255/Nadere_uitwerking_ aanvullende_criteria_onderzoeksmasters_30_mei_2016_EN_def_nieuwe_huisstijl.pdf Association of Universities in the Netherlands. (2021). Instroom nieuwe masterstudenten [Influx new masters' students]. https://vsnu.nl/instroom-master.html Association of Universities in the Netherlands. (2018, May 14 th ). Internationalization agenda for higher education.

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A Mathematical Programming Approach to Applicant Selection for a Degree Program Based on Affirmative Action

Cited by 27 publications

References 6 publications

Inequity averse optimization in operational research

Inequity averse optimization in operational research

Text Mining Undergraduate Engineering Programs' Applications: the Role of Gender, Nationality, and Socio-economic Status

Admissions to Graduate Studies: Selection Methods for Life and Natural Sciences Masters’ Programs at a European Research University

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