Women Rising VIII: International Changemakers Protecting the Environment

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Women are gaining influence as leaders throughout the world, fighting for peace, justice, the environment and civil society.

On this edition, we profile four courageous young ecology activists, going to court for environmental justice and leading regional cooperation to rescue precious natural resources and indigenous cultures. Anne Kajir is an indigenous lawyer fighting for the rainforest and the people of Papua New Guinea. Olya Melen is a Ukrainian lawyer who stopped her government from destroying the Danube Delta. Dana Rassas is a Palestinian activist on trans-boundary water policy issues in the Middle East. Ilana Meallam is an Israeli advocate for the indigenous Bedouin people of the Middle East.

Featuring:

Anne Kajir, Papua New Guinea indigenous lawyer and Goldman Environmental Prize recipient; Olya Melen, Ukrainian lawyer and Goldman Environmental Prize recipient; Dana Rassas, Palestinian activist; Ilana Meallam, Israeli advocate.

Host: Sandina Robbins
Producer/Writer: Lynn Feinerman
Mixing Engineer: Stephanie Welch

For more information:

Contact info for Ilana Meallem and Dana Rassas:

In Israel:
The Arava Institute for Environmental Studies
Kibbutz Ketura
D.N. Hevel Eilot 88840 ISRAEL
972-8-6356618; fax 972-8-6356634

In the U.S.:
The Arava Institute North America – Manchester Center, VT

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Post le 14 novembre 2011 a 11 h 30 min | Permalink Je ne suis pas vimearnt d’accord avec la formulation Si la p-value est infe9rieure au niveau alpha fixe9 (souvent 0.05) alors on rejette l’hypothe8se nulle et on en conclut que l’e9chantillon est issu d’une population qui n’est pas normalement distribue9e. En fait , on ne peut juste pas affirmer que l’e9chantillon est issu d’une population normalement distribue9e. La nuance est tre9s importante. (voir la notion de puissance de test)Autre point, beaucoup de gens ( et meame de tre9s bons statisticiens par ailleurs) ne jurent que par la normalite9 des donne9es, et s’envolent dans test non-aprame9triques improbables.En pratique les tests classiques (student, fisher et anova) sont extremement robuste e0 la non normalite9s des donne9es. Et pour rappel au dela de 15 tirages dans n’importe quelle type de loi ( poisson, bimodale , uniforme) on obtient une distribution qui ressemble quand meame beaucoupa0 e0 une loi normale . Il n’est donc que tre9s rarement judicieux de s’embeter avec ce type de test