European Union

HALO Surveyor taking coordinates of UXO found near Betikama Power House, Guadalcanal Province. Credit: HALO TRUST

By External Source
NEW YORK, Oct 6 2025 (IPS-Partners)

As we celebrate this year’s World Teachers’ Day – with the central theme of recasting teaching as a collaborative profession – Education Cannot Wait (ECW) calls on people everywhere to provide teachers and the communities they serve with the resources they need to succeed in their crucial profession.

Today’s teachers need holistic teaching and learning methods, training on technology and the use of Artificial Intelligence, and other cutting-edge practices. And teachers cannot do their work without safe working conditions, fair pay and integrated support at the local, national and international level.

On the frontlines of the world’s most severe humanitarian crises – in places like Cox’s Bazar in Bangladesh, the Democratic Republic of the Congo, Haiti and Sudan – teachers face unimaginable challenges, low pay – and sometimes no pay – overcrowded classrooms, limited technology, inadequate financial support and life-threatening violence.

To address these interconnected challenges, ECW and its donors are investing in teachers across the globe.

In 2023 and 2024, ECW invested in our strategic partners to train over 144,000 teachers (56% of them female) on topics including pedagogy, gender and disability inclusion, disaster-risk reduction, and mental health and psychosocial support services. 35,000 teachers (48% female) were also financially supported with salary assistance, renumeration of volunteer teachers and social provisions such as health care insurance or daycare facilities for teachers with children.

Together with national and international investments in education, ECW supports crisis-affected girls and boys with the foundational skills – such as reading, writing and mathematics – needed to become productive members of society.

Together, we must create enabling policies and provide adequate funding to ensure teachers everywhere have the safety, training and support they need to thrive in their profession. Teachers are frontline heroes tasked with educating our next generation of leaders.

 

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This chapter is an overview of artificial intelligence (AI) and machine learning (ML) in food science and bioprocesses. This comprehensive work introduces the subject of AI to new readers, focusing on the important applications and progress of this technology in food science and related areas such as bioprocess. Food science involves examining the biological, chemical, and physical makeup of food, understanding what leads to food spoilage, and grasping the principles behind food processing Bioprocessing on the other hand, is loosely defined as the production of value-added materials to industrial scale from a living source such as living cells. AI has revolutionized many industries, altering operational frameworks to offer innovative solutions to longstanding challenges. This book chapter first provides an overview of the food science and bioprocess industries and comprehensively describes the various AI and ML applications in food science and also emerging applications in the bioprocess development. Limitations of AI are then discussed before concluding with the final section of the chapter, which emphasizes the futuristic perspective of AI and ML in food science and bioprocess development.

This chapter is an overview of artificial intelligence (AI) and machine learning (ML) in food science and bioprocesses. This comprehensive work introduces the subject of AI to new readers, focusing on the important applications and progress of this technology in food science and related areas such as bioprocess. Food science involves examining the biological, chemical, and physical makeup of food, understanding what leads to food spoilage, and grasping the principles behind food processing Bioprocessing on the other hand, is loosely defined as the production of value-added materials to industrial scale from a living source such as living cells. AI has revolutionized many industries, altering operational frameworks to offer innovative solutions to longstanding challenges. This book chapter first provides an overview of the food science and bioprocess industries and comprehensively describes the various AI and ML applications in food science and also emerging applications in the bioprocess development. Limitations of AI are then discussed before concluding with the final section of the chapter, which emphasizes the futuristic perspective of AI and ML in food science and bioprocess development.

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This article explores how participatory approaches and transnational cooperation can be advanced to advance multi-level governance in pursuit of the Sustainable Development Goals, focusing on SDG 11 “Sustainable cities and communities”. Based on qualitative research in Finland and Sweden we show that participatory approaches fail due to a lack of administrative capacity, path dependencies, societal conflicts and power asymmetries between the actors involved, which limit the transformative scope and legitimacy of policies. We argue that central governments in particular need to take more responsibility, provide more guidance and invest in capacity building and community empowerment at the local level.

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