Strategic technological and data led partnerships can also help drive risk efficiency. We’re entering a new era of research where lab experiments, computer simulations, and data-driven insights work together, allowing us to take smarter, more calculated risks. We’re designing hybrid environments where digital tools can be embedded into the scientific workflow, especially during the stages of risk analysis, combining computer smarts with human instinct.
Despite best efforts to minimise risk, terminating projects can be inevitable, particularly if they are unlikely to deliver meaningful benefits for patients. Yet, it is essentially to frame these decisions constructively, ensuring they do not stile future innovation.
Termination isn’t failure
Stopping a project often reflects strong, evidence-based judgment, not a mistake. It demonstrates that the team is listening to the science and patient data. Actively involving teams in this decision-making process can also help foster a strong culture of continuous improvement and stop the ‘fear of failure’ taking hold.
We also make it a priority to review terminated projects or those that have shifted direction. In research, valuable insights emerge at almost every stage in the journey, providing us with the opportunity to re-visit findings with a fresh perspective. Have deep biological insights been uncovered in early research – even if they did not serve the initial end goal? Is the data revealing patterns we initially missed? By continually re-assessing our work, we can continue to leverage the wealth of knowledge uncovered in all our projects. This also helps to reduce the overall cost of risk in terminated work, through using these insights for future decisions and developments.
The timing of termination is also critical. Regular evaluation of whether our research is taking us in the right direction allows us to identify early if a project isn’t working. This helps free up resources or move track to research and development areas that look more promising.
But what does this mean for our equation of risk and reward?
Moving towards credible risk management
Every aspect of science carries risk. In research, the equation could be expressed as: clear portfolio boundaries + understanding of patient needs + deep biological insights, multiplied by strategic external and data led partnerships, divided by the risk factor of termination or change.
When calculated correctly, this leads us to the development of novel drugs that can transform patients’ lives. At its worst, it provides valuable learning opportunities for scientists, clinicians and leaders alike, that can be applied at speed to the next potential breakthrough.
We must also remember that taking risks, terminating projects or changing course must be transparent to demonstrate responsible stewardship to patients, regulators, and investors alike. And for patients, even the toughest risks are worth taking if it could bring meaningful improvement to their lives.