The annual publication (since 1995) of the Corruption Perceptions Index (CPI) by Transparency International (TI) Secretariat in Berlin, gives the scores of the perceptions which selected observers have of the prevalence of corruption in their countries. They do not report about facts. Moreover, these observers are not at random chosen from whatever universum of respondents. Those contributing are predominantly male, between 25 and 50 years of age, well-paid and expatriate, white collar workers, with diplomas of MBA and similar studies, anglophone. Perceptions of women, poor, locals, blue collar workers, francophone and lusophone, are predominantly missing. The automatic result is that rich countries rank in the top, are perceived as less corrupt, ‘clean’. Poor countries rank at the bottom end of the list. The result is unreliable, unscientific, and should not be used – as is generally done by governments and the media – as a yardstick for the level of corruption in particular countries. (TI-Berlin has announced that beginning with the CPI of December 2012, it will use another methodology with more reliable results. As soon as this is published such information and comments will become available on this website).
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Het toenemend gebruik van internet en mobiele telefoons vormt soms aanleiding voor bezorgdheid over de kwaliteit van onze sociale netwerken. Toch scheppen de digitale mogelijkheden eerder nieuwe kansen voor communicatie dan dat zij bijdragen aan bijvoorbeeld vereenzaming. Internet wordt weliswaar veel gebruikt voor surfen en spelletjes, maar ook voor e-mail en chatten. Onduidelijk is nog of de internettijd ten koste gaat van tijd die eerder besteed werd aan televisie, lezen, deelname aan verenigingsleven of een andere activiteit. Dit artikel geeft ook aan dat de relatie tussen nieuwe media en sociale netwerken georganiseerd kan worden, dat via beleid de 'sociale winst' van technologie gekapitaliseerd kan worden.
Within the framework of Agrobiokon an internet application was developed allowing potatogrowers a simple evaluation of their potato late blight control strategy. The goal of developing this application was to confront the perception of growers regarding the protection level of their crops with an independent calculation of this level. Calculations ofthe daily infection risk allow growers to retrospectively track periods of under- and over protection of their crops. This form of interactive knowledge transfer is hoped to trigger improvements in growers’ potato late blight control strategies with respect to spray timing and fungicide selection.
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