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News 08 Feb 2021

Fourth SDG–UP Workshop Shares Japanese Universities' Contributions to the SDGs by Addressing Social Issues

On 27 January 2021, UNU-IAS organized the fourth workshop of the UNU SDG–University Platform (SDG-UP).

Article 01 Feb 2021

Black Voices Matter: Does Systemic or Implicit Bias Freeze the Careers of Black Academics?

With staggeringly low representation of black staff among academics, how can we ensure constructive change and a ‘mindshift’ across the system?

News 01 Feb 2021

Apply Now for 2021 UNU-IAS Master’s and Doctoral Programmes

UNU-IAS is now accepting applications for September 2021 admission to its two postgraduate degree programmes.

Blog Post 28 Jan 2021

Technological Innovation to Support Formalisation and Reduce Exploitation

Apprise and Apprise Audit support formalisation by providing a voice to workers who experience varying degrees of informality.

News 27 Jan 2021

Third SDG–UP Workshop Highlights SDGs-focused Research & Teaching for Japanese Universities

The workshop discussed university efforts to contribute to the SDGs by solving social issues as well as developing human resources.

Press Release 22 Jan 2021

Ageing Dams Pose Growing Threat

By 2050, most people on Earth will live downstream of tens of thousands of large dams already operating at or beyond their design life.

News 18 Jan 2021

Apply Now for 2021 JSPS–UNU Postdoctoral Fellowship Programme

UNU-IAS is now accepting applications for the 2021 JSPS–UNU Postdoctoral Fellowship programme. The application deadline is 21 Feb. 2021.

News 15 Jan 2021

Now Accepting Applications for the 2021 UNU-IAS Master’s and Doctoral Programmes

The application deadlines are 12 March 2021 for the master’s programme, and 9 April 2021 for the doctoral programme.

Article 09 Jan 2021

Women’s Health and Gender Inequalities

This collection, launched at the World Health Summit 2020, aims to provide insights into how to advance women’s health and gender equality.

Blog Post 08 Jan 2021

What is the Main Source of Unresolved Machine Learning Ethical Concerns?

System and algorithmic bias, misrepresentation and transparency issues are some of the ethical concerns in machine learning that need to be addressed.