Research That Counts: Integrity, AI & Evidence Synthesis in African Doctoral Research · Fri 13 Nov 2026, 6:00pm WAT · Free on Zoom Register free →

Centicini Research Lab

Where researchers learn by doing real reviews.

Our research clusters bring early-career researchers together with experienced reviewers. Interns work through a live systematic or scoping review, from the research question to journal submission, with authorship under ICMJE criteria.

About the Centicini Research Lab

How the internship works

One review, start to finish, in a structured cycle.

Each cohort meets in a weekly main session, with mid-week progress checks led by cluster leads.

  1. 01

    Orientation & question

    Review types and structure, roles in the team, and a focused research question.

  2. 02

    Search & screening

    Search strategies, database searching, eligibility criteria and study selection.

  3. 03

    Extraction & appraisal

    Data extraction, risk-of-bias assessment, evidence tables and synthesis.

  4. 04

    Writing the manuscript

    Results, discussion and conclusions, referencing, and journal selection.

  5. 05

    Submission & certificate

    Final review, journal submission and certification of completion.

Our research clusters

Specialist clusters, one standard of rigour.

Chronic Disease Epidemiology Research Cluster

The Chronic Disease Epidemiology Research Lab is dedicated to advancing evidence-based understanding of the burden, distribution, determinants, and prevention of non-communicable diseases (NCDs) across diverse populations, with particular …

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Environmental Health and Climate Research Cluster

This lab adopts a multidisciplinary and systems-oriented approach to environmental health and climate change research. It emphasises the application of robust evidence synthesis methods to evaluate the health …

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Infectious and Global Health Research Cluster

This lab adopts a multidisciplinary global health perspective, integrating epidemiology, public health, health systems research, and policy analysis. It emphasises the synthesis of existing evidence to answer complex …

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Machine Learning and Computational Research Cluster

The Machine Learning & Computational Research Cluster is designed to advance research at the intersection of data science, artificial intelligence, computational modelling, and health and biomedical research. This …

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Pharmaceutical & Biomedical Research Group

The Pharmaceutical & Biomedical Research Lab is dedicated to advancing high-quality research at the intersection of pharmaceutical sciences, biomedical research, and clinical evidence generation. The lab focuses on …

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Traditional Medicine and Consumer Health Research Cluster

The Traditional Medicine & Consumer Health Research lab focuses on the evidence-based evaluation of traditional medical practices, herbal medicines, dietary supplements, and consumer health products within modern healthcare …

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Outstanding interns · May 2026 cohort

Recognising the best of each cohort.

At the end of every cohort we recognise the interns whose work stood out. These are the best-performing interns of our one-month systematic review and evidence-based collaborative lab internship, May 2026.

Meet our best performing interns: one-month systematic review and evidence-based collaborative lab internship, May 2026 cohort

Interns of the May cohort: Machine Learning and Computational Research Cluster

Interns from the Machine Learning and Computational Research Cluster describe what they learned during the May cohort.

Centicini Internship Alumni Network (CIA-NET) logo

Centicini Internship Alumni Network

Interns who complete the programme stay connected through CIA-NET: future collaborations, calls for papers and advanced training. Learn, connect, collaborate, impact.

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