TOWARDS A DESIGN OBSERVATORY: THE CASE OF SCHOLARLY DESIGN RESEARCH IN PORTUGAL

AbstractThe DesignOBS project was created to collect, map and interpret data about the Portuguese Design Ecosystem, providing supportive information for decision making. This study takes advantage of a participative Design perspective to define and test an observation process via a case based on Design doctorates undertaken in Portugal. It emphasises the need for additional participatory analysis and curation by experts to evaluate and develop more reliable information about the discipline. Moreover, it develops recommendations that can enhance the communicability of Design doctorates.

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Bid rigging in public procurement market according to the decisions of the President of the Office of Competition and Consumer Protection

The Central and Eastern European Journal of Management and Economics ◽

10.29015/ceejme.624 ◽

2018 ◽

Vol 5 (2) ◽

pp. 161

Author(s):

Konrad RÓŻOWICZ

Keyword(s):

Decision Making ◽

Comparative Analysis ◽

Consumer Protection ◽

Design Research ◽

Public Procurement ◽

Appeal Chamber ◽

Interesting Issue ◽

Market Control ◽

The Public ◽

Bid Rigging

Aim: In the practice of awarding public contracts, sometimes the behavior of market actors, instead of competing with other entities, are aimed at illegal cooperation, including bid rigging. The above shows that healthy competition is not possible without efficient market control. In public procurement market this control is, primarily, carried out by public procurement entities: the President of the Public Procurement Office (Prezes UZP) and the National Appeal Chamber (KIO), and furthermore by President od the Office of Competition (Prezes UOKiK) and Consumer Protection and the Court od Competition and Consumer Protection. and Consumer Protection (SOKiK). The interesting issue is how the activities of the President of Office of Competition and Consumer Protection targeted to contend with bid rigging affects on the activities of President of the Public Procurement Office (Prezes UZP) or the National Appeal Chamber (KIO). Design / Research methods: analysis and comparison decisions/ judgment issued by the President of the Public Procurement Office, National Appeal Chamber, the President of the Office of Competition and Consumer Protection and the Court of Competition and Consumer Protection. Conclusions: The analysis has shown that the existence of specificities in the activities of the decision-making bodies and the judgments examined. However, in keeping with the specificity of the forms and objectives of control, these entities should cooperate, to a greater extent than before. Expanding the scope of cooperation would make it possible to better contend with bid rigging without changing the competition protection model. The introduction of institutionalized instruments for cooperation between the authorities seems to be valuable in terms of system solutions. Value of the article: The main value of the article is the comparison of selectively selected decisions and judgments representative of the problem under consideration and their comparative analysis in order to achieve the research objectives. The article deals with issues relevant to both public procurement practitioners and the state bodies dealing with procurement matters.

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A top-level model of case-based argumentation for explanation: Formalisation and experiments

Argument & Computation ◽

10.3233/aac-210009 ◽

2021 ◽

pp. 1-36

Author(s):

Henry Prakken ◽

Rosa Ratsma

Keyword(s):

Machine Learning ◽

Decision Making ◽

Linear Models ◽

Evaluation Studies ◽

Data Sets ◽

Machine Learning Applications ◽

Level Model ◽

Similarities And Differences ◽

Further Development ◽

Case Based

This paper proposes a formal top-level model of explaining the outputs of machine-learning-based decision-making applications and evaluates it experimentally with three data sets. The model draws on AI & law research on argumentation with cases, which models how lawyers draw analogies to past cases and discuss their relevant similarities and differences in terms of relevant factors and dimensions in the problem domain. A case-based approach is natural since the input data of machine-learning applications can be seen as cases. While the approach is motivated by legal decision making, it also applies to other kinds of decision making, such as commercial decisions about loan applications or employee hiring, as long as the outcome is binary and the input conforms to this paper’s factor- or dimension format. The model is top-level in that it can be extended with more refined accounts of similarities and differences between cases. It is shown to overcome several limitations of similar argumentation-based explanation models, which only have binary features and do not represent the tendency of features towards particular outcomes. The results of the experimental evaluation studies indicate that the model may be feasible in practice, but that further development and experimentation is needed to confirm its usefulness as an explanation model. Main challenges here are selecting from a large number of possible explanations, reducing the number of features in the explanations and adding more meaningful information to them. It also remains to be investigated how suitable our approach is for explaining non-linear models.

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