{"id":32375,"date":"2026-02-11T13:30:27","date_gmt":"2026-02-11T13:30:27","guid":{"rendered":"https:\/\/research.reading.ac.uk\/research-blog\/?p=32375"},"modified":"2026-02-18T12:21:22","modified_gmt":"2026-02-18T12:21:22","slug":"how-diverse-voices-are-transforming-the-uns-climate-science","status":"publish","type":"post","link":"https:\/\/research.reading.ac.uk\/research-blog\/2026\/02\/11\/how-diverse-voices-are-transforming-the-uns-climate-science\/","title":{"rendered":"How diverse voices are transforming the UN\u2019s climate\u00a0science"},"content":{"rendered":"

[vc_row][vc_column][vc_single_image image=”32377″ img_size=”full” add_caption=”yes”][vc_column_text]<\/p>\n

An environmental expert from Nigeria, a climate policy consultant from Kenya, an oceanographer from Indonesia and an Indigenous social development specialist from the Philippines will are among dozens of experts in the UK this month as the UN\u2019s top climate body meets to rewrite the the rules for compiling the world\u2019s most important climate reports.<\/p>\n

The workshops<\/a> at the University of Reading from February 10 to 12 will lay the groundwork for bringing diverse knowledge into the next report by the UN climate science body, the Intergovernmental Panel on Climate Change<\/a> (IPCC). The seventh assessment report, known as AR7, will be published in 2028 and finalised the following year.<\/p>\n

There are two big themes under discussion. One workshop examines how artificial intelligence (AI) tools can help scientists review growing volumes of climate research. AI is revolutionising scientific research, with its ability to conduct faster analysis of complex data than traditional computer models. AI weather<\/a> and climate models are already becoming integrated into the information provided through meteorological services such as the Met Office. <\/p>\n

Another workshop explores how Indigenous and local knowledge can be integrated into these assessments alongside standard scientific findings. For decades, IPCC reports have been built primarily on peer-reviewed scientific papers from academic institutions, mostly in the world\u2019s wealthier nations. These workshops explore how to better include Indigenous knowledge, local observations and expertise from communities that are experiencing climate change first hand. <\/p>\n

This could not come at a more important time. A few weeks ago, the US withdrew<\/a> its participation from the IPCC process. Now, a new cadre of experts from across the world are coming to the UK to make climate science more inclusive and AR7 preparation continues<\/a> with 195 member countries. The work goes on, but the US absence leaves gaps in emissions reporting and funding. <\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_single_image image=”32378″ img_size=”full” add_caption=”yes”][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

Credible, yet unconventional<\/h2>\n

Bringing in diverse voices is essential to the report\u2019s success. If IPCC reports reflect only one way of understanding the world, they can miss crucial insights. As other sectors have found again and again, a lack of diversity<\/a> in the workforce leads to a lack of insight. The environment sector remains one of the least diverse, with only 3.5%<\/a> of people working in environmental jobs identifying as being from an ethnic minority. Diverse voices and critical discussions are key to making robust, inclusive and future-proof decisions. <\/p>\n

Through my work developing flood forecasting systems across Africa, Asia and Latin America, I\u2019ve learned this directly. After Cyclone Idai hit Mozambique in 2019, the Global Flood Awareness System<\/a>, a service that provides openly accessible information about upcoming floods across the world, was used to help target relief<\/a> where it was most needed. <\/p>\n

In Uganda, working with the humanitarian agency Uganda Red Cross and the Red Cross Climate Centre, our forecasts helped 5,000 people evacuate before roads were cut. In Bangladesh\u2019s river basins, improving forecasts meant understanding how communities interpret flood risk. In Kenya, choosing the right forecasting approach<\/a> required learning from the people who have lived with these rivers for generations. <\/p>\n

Climate science has traditionally valued certain types of expertise. Peer-reviewed papers and university credentials do matter. But expertise also comes from generations of farmers building up understanding of local weather patterns or Indigenous knowledge about the land, forests and rivers. Scientific models, combined with community knowledge, produce better outcomes than either alone. <\/p>\n

For the result of its latest report to be credible, the IPCC needs the best evidence from all sources, because that is what produces the best science.\"The<\/p>\n

Hannah Cloke<\/a>, Professor of Hydrology, University of Reading<\/a><\/em><\/span><\/p>\n

This article is republished from The Conversation<\/a> under a Creative Commons license. Read the original article<\/a>.<\/p>\n<\/div>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

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