Open Access

By Helen Chuma-Okoro and Nicole Tumaine This is part two of Helen Chuma-Okoro and Nicole Tumaine’s blog post on the insights retained from 2018 conferences,...

Par Abdelhamid Benhmade En quatre semaines, la situation est devenue extrêmement alarmante sur le continent africain. « Les populations africaines vivent l’un des pires épisodes pandémiques...

Authored by: Njoku Ola Ama and Francis Nathan Okurut Abstract: This study explores the adoption, by micro, small, and medium-sized enterprises (MSMEs) in Botswana, of...

Authored by: Jeremy de Beer Abstract: Governments have long been interested in making intellectual property (IP) policy based on sound evidence. There is a large...

By Toni Valenti On Thursday, March 28th, Open AIR attended the Indigenous Data Sovereignty panel at the Shifting Horizons research data conference at the University of Ottawa....

Published by Open AIRPublication Date: 2014Download: Optimising Benefits from Publicly Funded Research (323) This 2014 Briefing Note highlights Open AIR research findings on apparent disconnects between...

Jeremy de Beer, Chris Armstrong, Chidi Oguamanam et Tobias Schonwetter Date de publication : septembre 2017 Télécharger: Chapitre 16 : La propriété intellectuelle...

This 2013 book is the product of three years of literature reviews, expert interviews and scenario-building exercises by the Open AIR network. The authors trace the contours of knowledge and innovation in Africa from the founding civilisations to today’s current realities, and then set out the drivers of change that can be expected to shape innovation systems on the continent between now and the year 2035.

Edited by: Chidi Oguamanam. When the oral history of a medicinal plant as a genetic resource is used to develop a blockbuster drug, how is the contribution of Indigenous Peoples recognized in research and commercialization? What other ethical, legal, and policy issues come into play? Is it accurate for countries to self-identify as users or providers of genetic resources?

Agricultural data is globally recognized for its importance in addressing food insecurity. We propose a ‘data commons’, formed through a licensing model that allows farmers to benefit from the datasets to which they contribute.