scholarly journals Algorithms and Learning for Fair Portfolio Design

Author(s):  
Emily Diana ◽  
Travis Dick ◽  
Hadi Elzayn ◽  
Michael Kearns ◽  
Aaron Roth ◽  
...  
Keyword(s):  
Author(s):  
Geraldine McDermott-Dalton

AbstractThe use of portfolios is deeply embedded in practice within Design education. However, as trends change and technology improves, tensions often arise in the interpretation and presentation of the portfolio activity. Additionally, as more and more digital artefacts are produced by design students, the question arises as to whether the traditional portfolio could be accompanied or replaced by an eportfolio, which could present students’ digital artefacts in a structured fashion. This research investigates how students and faculty in the Design Department of one higher education institution might come together to examine and re-model practices in the context of the design portfolio activity. The study uses Cultural Historical Activity Theory with a Change Laboratory methodology and expansive learning to build transformative agency amongst those involved in the design portfolio activity, with a view to reaching consensus of what a future model of the design eportfolio might look like. Findings indicate that the methodology was successful in collaboratively examining work practices and exposing tensions relating to the current portfolio activity. A tentative future model of a design eportfolio was presented to the group, using institute graduate attributes to provide structure. While the lack of a designer’s ‘personality’ when using a generic eportfolio tool was pointed out, it was agreed that having student work available and accessible in a structured digital format was a requirement for today’s design graduate. Finally, this research approach is considered useful for educational research projects that require collaborative input from various stakeholders into changes in work practices.


2020 ◽  
Vol 8 (1) ◽  
pp. 1854948
Author(s):  
Matthew W. Burkett ◽  
William T. Scherer ◽  
Andrew Todd

2017 ◽  
Vol 20 (1) ◽  
pp. 1-21
Author(s):  
Greg MacKinnon ◽  
◽  
Jon Spinney ◽  

We examine the market for U.S. equity real estate investment trusts (REITs) for evidence of the volatility effect, in which low volatility stocks tend to outperform high volatility ones, as has been found in the general equity market by prior research. While there is some evidence of a volatility effect in the first ten years of the sample, this disappears in a more recent time period. Furthermore, we test the efficacy of low risk portfolio construction techniques and find that none perform any better than a market cap weighted portfolio ¡V although they are also no worse ¡V over any of the time periods examined. Thus, there is no evidence that using a risk-based portfolio design that emphasizes low volatility would improve portfolio performance for a REIT allocation.


2018 ◽  
pp. 584-593 ◽  
Author(s):  
Merle-Hendrikje Jank ◽  
Christian Dölle ◽  
Günther Schuh

2019 ◽  
Vol 10 (3) ◽  
pp. 2475-2484 ◽  
Author(s):  
Florian Salah ◽  
Rodrigo Henriquez ◽  
George Wenzel ◽  
Daniel E. Olivares ◽  
Matias Negrete-Pincetic ◽  
...  

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