Florence

Peter Koppatz

The 11th workshop on Partial Order in Applied Sciences took place in Florence, 9. - 10. April 2015. The workshop was locally organized by Dr. M. Fattore (University of Milan – Bicocca) under the auspices of AIQUAV (Italian Association for Quality of Life Studies). This international conference that had attracted scientist from 8 different nations was one of the most motivating workshops within the series of partial order workshops, initialized by R. Bruggemann 1998. The conference was not only well organized but was stimulated by the wonderful flair of the conference site, Centro Studi Cisl, in Fiesole and last not least by the participation of many young scientists. After the opening welcome address of Professor Maggino (AIQUAV) 17 lectures comprising both methodological and application studies. The presented studies as well as the diversity of applications showed that the very idea of partial ordering is developing well.

The outcome of the workshop will be presented in a book edited by M. Fattore and R. Bruggemann and published by Springer together with additional material on the aspects of partial ordering. The next workshop is planned for 2017 and will probably be held in Luxemburg.

Conference Florence 2015 -- Agenda
9th April – Afternoon
Room “Damiano” 		14.00 Welcome speech – Filomena Maggino (University of Florence, President of AIQUAV - Italian Association for Quality of Life Studies)
14.30

First Session

  1. Bruggemann, Carlsen – Incomparable, what now IV. A modeling challenge
  2. Mucha, Bartel - Incomparability/Inequality Measures and Clustering
  3. Kerber - Steps towards a theory of evaluation
  4. Annoni, Bruggemann, Carlsen - A Multidimensional View on Poverty in the European Union by Partial Order Theory
06.30 Coffee Break
16.50

Second Session

  1. Di Bella, Corsi, Leporatti, Cavalletti - From Rio 1992 to Rio+20: a multi-indicator analysis of the sustainable development efforts
  2. Caperna, Boccuzzo - Overcoming aggregation in social-multi-criteria evaluation problems: how to deal with non-cardinal variables in composite indicators
  3. Hilckmann, Ackermann, Scheumann, Bruggemann - Sustainable Development in the federal states of Germany regarding the core indicators provided by the "Länderinitiative Kernindikatoren"
  4. Suter, Beycan – Exploring multidimensional well-being in Switzerland
10th April – Afternoon
Room “Damiano” 		09.00

First Session

  1. Pirintsos, Bariotakis, Bruggemann - Contribution of Partial Order Techniques in the management of ethnobotanical knowledge
  2. Tagliabue, Barberis, Fattore - A successful application of partial order theory in management: customer targeting
  3. Di Bella, Gandullia, Leporatti, Montefiori, Orcamo - Comparing Emergency Departments using Partial Ordering techniques
11.20

Second Session

  1. Owsinski - Endowing posets with flesh: if, why and how?
  2. Fattore – Multidimensional inequality indices on posets
  3. Carlsen, Bruggemann - Partial Ordering and Metrology - Analyzing Analytical Performance
  4. Al-Sharrah - Ranking Chemicals with Respect to Accidents Frequency
14.45

Single Session

  1. Bruggemann, Koppatz, Wiesner-Steiner, Teske, Fuhrmann, Scholl, Edich - A matching problem, partial order and an analysis applying the Copeland index
  2. Koppatz, Bruggemann, Wiesner-Steiner, Teske, Fuhrmann, Edich , M. Scholl - PyHasse in the cloud — PyHasse towards a generally accessible software package
16.15 Conclusions (Rainer Bruggemann)
     

Barcamp Muencheberg

Peter Koppatz

(March 2015)

During a barcamp of the workshop „Simulation in den Umwelt- und Geowissenschaften“ (simulation in environmental and geo- sciences) March, 2015 in the research center ZALF the PyHasse-website and the actual status of available programs (modules) was shown as well as examples applying available modules were demonstrated. A typical question is often posed and also within the barcamp: What (the hell) can I do with PyHasse?

Answers can be found in:

  1. Within the interview of our documentation [1]

  2. In the references [2]

  3. Clearly you can always ask the authors of PyHasse themselves [3].

Nevertheless here (once again) a trial to give a simple answer:

Always when you want to find a ranking of objects (cities with respect to their living quality, chemicals with respect to their environmental risks, etc) PyHasse tries to find a ranking out of the indicators seen as characteristic for the ranking aim. However not all objects can be uniquely ranked, because data conflicts due to the single indicators may appear. Both the vertical direction (the ranking) as well as the horizontal devwlopment (the conflicts ) can be analyzed by PyHasse.

[1] Interview

[2] References

[3] Impress