Emerging Technology​

When involved in an innovation process, researchers can improve their technology building processes to advance new technological trends by aligning them with the societal challenges.


Within innovation processes and when developing emerging technology scenarios and foresight exercises can provide unique insights on the anticipated impacts of socio-economic, political and technological drivers and unveil hidden assumptions among stakeholders.


As the pace of technological change increases, organisations can undertake technological development projects to interpret, analyse, and assess larger amounts of data at a much faster pace.


A successful digital strategy can enable organisations in the adoption of emerging technologies to complement their business and/or organisational processes and performance, in order to maintain and achieve competitive outputs.


In domains where the outputs of a machine learning model can have real world consequences, algorithmic transparency can provide explanations of how these outputs were reached; thus enabling their benefits to be experienced more widely.


When conducting research into emerging technologies, it is essential to protect research subjects and steward data properly, so that data are an asset rather than becoming single-used and obsolete.


At some point, institutions and organisations need to evaluate how existing and emerging technologies can be leveraged in novel ways against social, organisational or technical problems. To do so effectively, they need to understand the potential consequences, i.e., costs, benefits, opportunities and impacts, of those implementations to make informed strategic decisions.​

We identify promising trends and develop scenarios and foresight exercises to anticipate, assess and optimize how to leverage emerging technologies to transform specific sectors. This information can help to guide the development of new policies, the application of new technologies to existing problems or the investment in new technology – with a view to having a positive impact on society. ​

We use a stakeholder-based approach to construct scenarios and apply co-design methods. Our policy recommendations and responsible machine learning applications always have users and society at the centre, to optimise the use of data, improve data literacy through explainable AI and enhance societal wellbeing.

Emerging technology insights

Better visualisation of electronic evidence to improve digital forensic capabilities

During a digital-related investigation, electronic evidence can be gathered from a variety of sources such as cell phones, hard drives, CDs, digital cameras, electronic files such as JPEGs, and emails.…

Using data insights to address the impacts of the COVID-19 pandemic

The COVID-19 pandemic continues to have a profound effect on the daily life of people across Europe, from economic repercussions to mental wellbeing. Policymakers and public health experts unanimously …

The ethical governance of disruptive technologies – join the SHERPA, SIENNA & PANELFIT conference

Trilateral Research are delighted to announce the SHERPA, SIENNA and PANELFIT projects’ final event which will take place on 23 March 2021. We invite you to join our online event where we will discuss …

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