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In an attempt to rebrand the Middle East as a techno-futuristic oasis for global exchange and innovation, the host's of this years COP28 has attempted a bold movement toward nuclear energy production. Once the black sheep of clean energy, fission may be poised for a reawakening.

In an attempt to rebrand the Middle East as a techno-futuristic oasis for global exchange and innovation, the host's of this years COP28 has attempted a bold movement toward nuclear energy production. Once the black sheep of clean energy, fission may be poised for a reawakening.

There is growing understanding that the environment plays an important role both in the transmission of antibiotic resistant pathogens and in their evolution. Accordingly, researchers and stakeholders world-wide seek to further explore the mechanisms and drivers involved, quantify risks and identify suitable interventions. There is a clear value in establishing research needs and coordinating efforts within and across nations in order to best tackle this global challenge. At an international workshop in late September 2017, scientists from 14 countries with expertise on the environmental dimensions of antibiotic resistance gathered to define critical knowledge gaps. Four key areas were identified where research is urgently needed: 1) the relative contributions of different sources of antibiotics and antibiotic resistant bacteria into the environment; 2) the role of the environment, and particularly anthropogenic inputs, in the evolution of resistance; 3) the overall human and animal health impacts caused by exposure to environmental resistant bacteria; and 4) the efficacy and feasibility of different technological, social, economic and behavioral interventions to mitigate environmental antibiotic resistance. ; The workshop was organized and supported by the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR), the Swedish Research Council (SRC) and the Centre for Antibiotic Resistance Research at University of Gothenburg, Sweden (CARe). This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement JPI-EC-AMR No 681055. ; publishedVersion