Our global team of biostatisticians, statisticians and data scientists conduct complex statistical analyses to support health and medical research, ensuring its quality, validity, and reliability. Our data experts can provide the quantitative, qualitative, and statistical analyses needed to answer your complex research questions and support data driven decision-making. Our services include: Study Design: Developing robust research plans and complex trial designs. Data Collection: Gathering data through surveys, administrative records, web scraping, or other means. Data Management & Governance: Ensuring data quality, validity, and long-term accessibility. Statistical & Data Analysis: Applying complex statistical models, machine learning, and bioinformatics techniques to analyse data and draw insights. Predictive analytics: for research and program outcomes Data Visualization: Creating interactive displays to explore and communicate findings.

Our globally recognised Research Training Programs blend academic rigour with practical, real-world application to build research capacity and drive evidence-based healthcare. Developed and delivered by experts at The George Institute for Global Health, these programs empower early career researchers, clinicians, public health professionals, clinical trial staff, and policymakers to lead impactful research across diverse health systems. Offered face-to-face, online, or in blended formats, each course is designed to be globally informed while tailored with regional context to ensure practical relevance. Whether undertaken individually or as part of a broader training pathway, these programs foster innovation, strengthen expertise, and support meaningful collaborations that advance global health outcomes. Our programs are ideal for: Clinicians and allied health professionals new to research Research managers and coordinators Policy makers and public health practitioners

Specialising in First Nations research and engagement, The George Institute’s Guuna Maana team supports culturally safe, Indigenous-led and co-designed research grounded in Indigenous knowledges, values and priorities. We work in partnership with Aboriginal and Torres Strait Islander communities and organisations to ensure respectful, inclusive research design and methodology, as well as equity-centred program development and implementation. Our services include: Community-led research centered in Indigenous methodologies Translational research, data analysis and program evaluation Equity-centred policy and program design, recommendations and implementation Training and capacity building, including in Indigenous research methodologies, cultural safety and community engagement Who we work with: Local, state and national governments Public health agencies and networks Policy planners and senior program managers Aborigi

Our Impact and engagement team excels at facilitating meaningful advocacy, consultations and stakeholder engagement with decision-makers and the communities they serve. We bring key stakeholders together to co-create impactful, context-driven policy recommendations and solutions that drive real changes to healthcare. Our approach supports both retrospective and prospective policy consultations on priority issues including chronic disease, health equity and access. We develop comprehensive policy briefs and foster inclusive dialogue, turning evidence and research into actionable outcomes for health policies and programs. Our services include: Stakeholder consultation and strategic engagement Organisation, convening and facilitation of dialogues and meetings Policy briefs Community engagement and involvement strategies Advocacy support for evidence-informed policies Who we work with: Local, state and national governments Public

Our course facilitators

The George Institute for Global Health India, established in 2007, is a leading independent health research organisation committed to improving the lives of vulnerable and underserved populations across the country. With offices in New Delhi and Hyderabad, along with multiple field sites, our work spans 21 states across India. Central to our mission is turning research into action, ensuring that evidence is translated into practical solutions and policy change that directly improves health outcomes. At The George Institute, our areas of research address some of the world’s biggest health challenges, focusing on areas like cardiovascular health, health equity, health systems science, injury and trauma, mental health and neurology, multiple long-term conditions, renal and metabolic, women’s health, planetary health, and nutrition and food systems. Each program is designed to tackle specific health concerns through targeted research initiatives that aim to improve prevention,

The Centre for Operational and Research Excellence (CORE) is a global group and provides high-quality expertise as well as robust operations, systems and processes to deliver The George Institute’s research strategy. CORE’s strategy is to: Achieve and maintain quality and integrity in research Build core skills and capacity in research operations Build and maintain robust systems and processes to enable and support research operations Knowledge management in research operations across The George Institute CORE’s functional activities include: Data Management: DM planning, database build and maintenance, quality data management practices, data cleaning, data sharing processes Project operations: budget development for funding applications, project start-up, implementation and close-out to high quality standards Research strategy and services: funding applications, internal grant programs, research capacity development

Designing and delivering high-quality clinical and community trials.

The George Institute has a highly skilled team which works to conceptualise, develop, and deliver innovative and impactful clinical trials, characterised by the following features: Reducing trial ‘waste’ Ensuring that clinical trials are efficient is crucial to minimising research ‘waste’, which most commonly results from the costs associated with poorly conceived research questions, inappropriate study design, failure to adequately report on all areas being analysed, and inefficient operational conduct. Trial efficiency can be improved via two key mechanisms- by design and by conduct. Trial design involves the development and application of innovative statistical methods including adaptive and pragmatic designs. The first involves adapting some elements of the design as the trial progresses (rather than waiting for the trial to end). A pragmatic trial evaluates a health intervention in a setting as close as possible to real-world conditions. Adaptive designs help to gener

What are clinical trials? Clinical trials are research studies with humans, designed to test new treatments to find better ways to prevent, detect or treat disease1. Clinical trials are also sometimes referred to as interventional trials. The sorts of treatments being investigated include medicines or drugs, cells and other biological products, surgical procedures, radiologic procedures, devices, behavioural treatments, process-of-care changes, preventive care, and other items.2 Clinical trials rely on having members of the general public agree to take part. What happens in a clinical trial? In a clinical trial, participants meet with researchers who go through what the clinical trial will involve. All participants must be advised about the objectives of the research, what is expected of them, as well as any risks that may be experienced during and after the trial. Trials must follow a carefully controlled protocol, which is a plan that describes what researchers will do in the stu

Researchers at The George Institute for Global Health, UK, led by Executive Director Professor Otavio Berwanger, are spearheading a programme of work to transform that way we deliver large-scale clinical trials. This programme is borne out of a recognition of the limitations of the ‘traditional’ clinical trial model – and the health gains (social, environmental and economic) – to be had in investigating pragmatic, innovative and efficient approaches. In both the so-called ‘traditional’ and innovative trial models, the gold standard of randomisation controls for both known and unknown confounding factors that could influence trials outcomes, and represents the optimal method to work out whether a healthcare intervention reduces the risk of patient-important outcomes and so inform clinical practice. Where the two models differ is that the traditional approach requires participants be screened and recruited in a trial site by a team of investigators, and so demands both a