Information technology
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- Which technologies are most likely to disrupt the pattern of global trade and investment in the coming decades and what impact will they have on productivity growth?
- Data mapping and linking: improving the quality and use of administrative data through developments in cutting-edge data linking methodologies, to provide cross-system insights of justice user journeys and outcomes.
- What is the best way to maintain and develop the software suite that supports the development of business cases, such as Transport Users Benefit Appraisal (TUBA) and Wider Impacts in Transport Appraisal (WITA)? What is the best avenue to communicate the Department’s methodologies to stakeholders?
- How should autonomous aviation systems communicate with ground control and each other?
- Can we have AI learn “on the job” safely? For example, in machine vision applications.
- What, if any, are the emerging risks to personal privacy and victim intrusion from new digital forensic technologies?
- How can policing improve the process and workflow surrounding digital forensics, including democratising the ability to run safe, rapid and effective forensics at a crime scene?
- What is the best-in-class digital tooling available for the forensic analysis of text, media and metadata?
- What cybersecurity threats exist for the use of drones in policing and how can they be mitigated?
- How can the use of low orbit satellites augment existing sensing capabilities in policing?
- How can policing best implement and utilise situational awareness within policing practices?
- How can policing capitalise on geospatial technologies to deliver new information forms that can enhance situational awareness and decision making?
- What counter technologies may be used to trick large scale audio-visual data processing and analysis systems used by the police and how can they be mitigated?
- What computational and analytical techniques can deliver accurate, large scale, automated image capture, processing, and amalgamation, while maintaining privacy and proportionality?
- How can policing maintain the integrity of the evidential chain when processing and analysing audio-visual data?
- How can policing overcome challenges around the collection, processing and storage of (usually large) files from audio-visual materials, including when working with still compared to moving images?
- What emerging biological or behavioural measurements and calculations can be used to ascertain or impersonate a person’s identity?
- What technologies can mitigate work-related trauma experienced by police staff? For example, using computer vision technologies to reduce manual assessments of child exploitation images.
- How would a shift towards interoperable / decentralised social media (aka ‘the fediverse’) alter how disinformation spreads, and the ability to be able to address it?
- What is the prevalence and associated costs of Age Assurance technology/ solutions across industry?
- What risk is there that generative AI evolves such that the content it generates can avoid detection faster than tools can be developed to detect it? How can international and industry collaboration limit this risk?
- Where are the opportunities for international collaboration to increase the UK’s role and influence over the development of next generation telecommunications technologies - including advanced 5G and beyond?
- How can we better join up digital standards with UK research and innovation sectors to ensure that digital standards are a valued element of the innovation lifecycle in the UK?
- What datasets, like street works data, could be used to verify open market review (OMR) plans of suppliers?
- What is the expected growth of the UK's maritime autonomy and remote operations sector and what impact will this technical change have on the workforce?
- How do we account for AI-first assumptions/errors (that humans would not make)?
- What are functional and operations performance and training requirements for remote-control/operation centre/station - with a focus on Human Element?
- How can AI be used to identify harmful content?
- How can policing demonstrate an end-to-end chain of evidence across the criminal justice system (e.g., using blockchain technology)?
- How can policing advance its interconnectivity both within policing (e.g., AI supported call and response routing), on multi-modal devices, and across organisations?
- How should enriched data produced from the fusion/linkage of multiple data sources be presented to users to enable rapid and effective decision making?
- In terms of horizon scanning, how do we best develop approaches to identifying new types of harm online, or new and emergent platforms of technologies (e.g. virtual reality) where online harm can manifest?
- How can artificial intelligence, machine learning, simulation, agent based modelling and other leading data science techniques contribute to better understanding of trade and investment patterns?
- What are the value and limits of emerging AI technologies such as ChatGPT in policing?
- How can the police service further develop capabilities in automatic redaction and selective extraction from phones?
- What tools are available to support the police service with compliance to analytic or data governance standards?
- What analytical tools can relieve the police workforce of administrative tasks?
- How can the police service maximise opportunities in Robotic Process Automation to streamline analytical processes in the near-term?
- What emerging technologies, such as wearables, can help identify and enable earlier interventions for struggling workforce members before they reach crisis point, for example, through the analysis of psychophysiological data?
- What science and technology led interventions are available to encourage and support safer driving?
- What technologies can be used to prevent crimes online, including the online mobilisation towards violence and terrorism?
- In what areas of policing can we democratise the science and technology so that it can be used by many non-specialists?
- What does research say about digital sectors or countries that pose the greatest risk of disruption to international cooperation over the use and governance of digital technology?
- What factors drive fragmentation and consolidation, respectively, in internet architecture and the international digital space?
- What broader science/tech sectors have the most spill-overs with the telecoms sector?
- Horizon scanning on the scenarios for digital and tech dominance over the near- and medium-term future.
- What are the most relevant potential changes in the external security and resilience risk environment?
- How can government funding be used most effectively to support future adoption of important technologies?
- Do firms that adopt one frontier technology, such as 5G, also adopt other cutting-edge technologies?
- What are the potential unintended consequences of digital technology (5G, ORAN, Fibre, etc) policies and to what extent could the market mitigate them?
- To what extent does innovation and competition between companies promote network technology evolution and interoperability (e.g. between systems, equipment, etc)? For further relevant questions on market competition and cooperation see BDUK section 2.
- Which of the future technologies will the UK have a comparative advantage in or face particular challenges in regard to global competition? How can the UK build strategic advantage in key technologies and how can the benefits be measured?
- Which of the future technologies will the UK have a comparative advantage in or face particular challenges in regard to global competition? How can the UK build strategic advantage in key technologies and how can the benefits be measured?
- Evaluate the technologies that will drive terabit networks: supporting the development of next-gen fibre technology, leveraging opto-electronics, encoding and graphene expertise to deploy a terabit network.
- Given that Wi-Fi is the go-to access method between fibre to the premises (and Gigabit capability) and user devices: (i) identify options for future evolution of Wi-Fi technologies and network architecture in premises (domestic and business) that will match the data capacity of fibre? (ii) what are the spectrum implications and options for transitioning to the desirable spectrum requirements (e.g. using spectrum above 50 GHz or LiFi).
- What are the impacts of 5G on users’ day-to-day lives? How will people and businesses use this connectivity?
- How might AI contribute to future spectrum regulation/management?
- What are the advantages, disadvantages, and limitations in using non-terrestrial technology to support the expansion of mobile coverage across the UK?
- How much capacity do UK centres have, and is it sufficient for domestic uses? How much reliance is there on data centres abroad? How might technological advances such as in the field of AI affect future demand for data centre processing power and can the sector cope with such changes?
- How inclusive is the evolving digital identity ecosystem? What are the barriers to inclusion within the system? What are the benefits of digital identity to individuals and businesses? How can we ensure the UK’s digital identity ecosystem is secure? Within the current market which groups are disproportionately affected or are more likely to become left behind as digital identity solutions become more widespread? What are some of the consequences of having excluded groups? Are there differences across different sectors or use cases? How can we build trust in digital identity solutions?
- What measures and prioritisation tools can be used to better evaluate and target cyber risks with government interventions?
- How can we build agility into software policy to ensure policy remains dynamic?
- How effective is UK government messaging and guidance on adopting cybersecurity? Do some messages land better than others? Why? With whom?
- How might automation, machine learning/AI change the way in which cybersecurity services are currently delivered? Do these changes lead to a reduction or even an increase in demand for cyber security skills, products and services
- In what ways can cyber security effectively share the UK technology talent pool with other priority industries?
- What are the most appropriate measures for adoption? What do different measures look like for cost effectiveness, availability of information or resource, ease of implementation, prospect of mitigated data/financial losses due to cyber breaches?
- What are the economic incentives that drive cyber security?
- How are cyber security careers perceived and how is this changing overtime? What can be done to mitigate negative perceptions of cyber security careers?
- What is the most effective measure for cyber security upskilling and embedding that the UK government promotes or could promote?
- How could incentives for cyber security adoption and change, to reducible risk, be posed to organisations? Is there a need for different types of incentivisation for different sectors or differing sizes of organisations?
- What behavioural and attitudinal considerations can be mapped in this area and how do we encourage good behaviours across organisations?
- What are the critical emerging technologies on the 5, 10, and 15-year horizon which have the potential to change cyberspace or impact on the UK’s cyber-power and strategic advantage? What novel critical applications of existing technologies could have the potential to transform cyberspace? How should emerging technologies be prioritised for cyber security research?
- What are the systemic linkages between the cyber security skills shortage and other government cyber interventions?
- What evidence is there for not embedding adequate cyber security in highly commercialised or direct-to-consumer tech? What evidence is there on cybersecurity not being embedded adequately in sectors with lower regulation?
- What cyber interventions that DSIT or NCSC runs are the most effective at reducing cyber incidents and improving cyber resilience? How effective are the NIS Regulations at securing operators of essential services in the UK? How effective is carrying out each of the 10 Steps to Cyber Security at reducing cyber risk?
- How does increased data usage affect power consumption at server and data centres?
- What are some of the emergent technologies which will increase the need for gigabit connectivity for (i) residential premises; (ii) business premises?
- "What is the interaction between mobile and fixed connectivity? What is the role of 4G mobile connectivity in people’s online access compared to broadband/fixed access? Are there certain benefits or disbenefits which are only achieved with both mobile and fixed connectivity?"
- How has gigabit connectivity and the digital harmonisation, or moving a variety of services onto one system, of local public services affected; (i) how they’re delivered, (ii) how they’re used, (iii) future coverage within that local area, (iv) technological innovation within that local authority?
- How does the UK compare to other countries in respect to 4G mobile coverage? In particular, how does the UK compare to G7 and EU countries? What factors contribute to this? What can the UK learn from 4G mobile roll-out in other countries?
- How might Artificial Intelligence tools such as language models be useful in:i) processing delivery data ii) increasing understanding of geospatial areas and associated risks of delivery?
- How does the benefits of connectivity change for the end user when there is an increase from superfast to gigabit compared to a change from sub-superfast to gigabit and sub-superfast to superfast?
- What is the potential for future technologies in delivering mobile connectivity more efficiently and effectively than contemporary technologies e.g. low earth orbit satellite technology? What are the advantages and disadvantages of these technologies, including their feasibility and possible barriers to implementation?
- How can Quality of Service data be quantified and measured as a consistent metric across BDUK delivery?
- How do network providers differ in the surveying methods used and what efficiencies do particular methods have?
- Detailed data on companies that specialise in the provision of AI services in life sciences.
- Detailed company data on both current expenditure and investment in AI.
- What risk assessment methods are best suited to risks from AI?
- Which risks from AI are the most urgent to mitigate?
- Compute: What are the latent needs of the UK’s AI ecosystem for compute resource?
- How can we better understand the barriers to AI adoption?
- What models of management and professional development of teaching and nonteaching roles support efficient and safe use of data and technology including AI?
- How can the impact of digital technology be robustly measured, and implemented in a way that supports teachers and learners?
- How has the increased accessibility of generative AI influenced HE and FE providers and students?
- What cyber interventions that DSIT or NCSC runs are most likely to be adopted and what is the positive impact of these? What drivers exist for the adoption of these? What are the barriers to adoption? Do sectors with more stringent regulatory measures see higher adoption of cyber security principles than non-regulatory driven protocols? What other non-UK government frameworks matter most to organisations?
- How could technology and data be better utilised to identify, classify and monitor biodiversity alongside transport infrastructure? What can asset managers in the transport sector learn from other sectors in this area.
- How can we develop and exploit new methodologies to ensure cost-effective monitoring (for example remote sensing and environmental DNA)?
- In security applications, how can we rely on AI to show us all the possible threats (not seeing what we are not shown)?
- How can new technologies and approaches be applied to enhance the cyber security of transport systems, including points of interconnection, autonomous transport, and commercial space flight? How does increased cyber-reliance in transport systems reduce our resilience to or increase the impact of an attack or major catastrophe?
- How can new approaches and technologies be applied to deter, detect, and disrupt the misuse of drones?
- What will gigabit capable speeds not be sufficient for, and will this interact with overall network capacity and/or government ambitions? Does this differ for other characteristics of connectivity such as bandwidth and latency?
- What training needs to be delivered to interact and challenge meaningfully AI algorithms? How can we prevent skills deterioration?
- How can emerging technologies be deployed in a safe and secure way to enhance the protective security and resilience of transport systems?
- How can innovations in data science, data analytics, sensor technology (including innovative deployment) be used and integrated with wider security systems to enhance security in transport systems?
- How can quantum based cyber security systems protect the transport sector beyond that of current classical cyber security?
- What are the human-machine interface (HMI) requirements for AI applications such as machine vision? How can we limit overreliance?
- How can we combine available and emergent information technologies (such as text analytics, natural language processing, sentiment analysis and semantic markup) to improve knowledge and information sharing in a public sector context?
- How should government make best use of biometrics and other technologies for government service users to prove their identities? What are the most useful applications of homomorphic encryption for digital government?
- Increasing the use of analytics within policing
- Delivering digitally enabled training with high levels of user satisfaction
- How can we monitor emissions arising as a result of digital consumption?
- Data science, machine learning, and artificial intelligence: algorithmic decision-support and decision-making, to inform the real-time personalisation of services and interventions; natural language processing, feature extraction and analysis of complex textual data; artificial intelligence transparency, accountability, fairness, and ‘explainability’.
- What long-term trade opportunities and risks may arise from changes in the use of technology and ways of working resulting from COVID-19?/
- Data Science and Decisions - How can MOD harness the benefits of data science? How do we build trust in automated systems? How do we integrate multiple sources of information with differing levels of uncertainty and represent this effectively and efficiently to busy decision makers?
- Reducing Cognitive Load - Greater access to data, information and services will challenge the cognitive loading on personnel. How can new technology help reduce this burden through, for example, autonomous software agents? Which functions could be carried out by machine and, conversely, what decisions will still need to be taken by human operators to ensure compliance with legal and ethical standards? How do we integrate these advances into our command and control systems?
- Exploiting the electromagnetic spectrum - How do we develop approaches to maximise the use of the electronic spectrum in congested environments to ensure commanders are able to access the information they need? How can we improve secure transmission of information? How do we integrate new and emerging technological solutions with legacy equipment to achieve this communications edge?
- Exploitation of robust data sources.
- What methods for data fusion and linkage across datasets best retain the anonymity of identifiers?
- Coping with the large number of devices and sheer volume of data, especially considering human factors.
- Changing world: How have evolutions in our statistical system (such as the greater focus on administrative sources for statistics) influenced how statistics are produced, used, and valued? How may advances in wider society (such as the increasing sophistication of large language models) influence how statistics are produced, used, and valued?
- Recovering fingerprints from various materials; automatically processing fingerprints; getting additional information (not just the image itself) from fingerprints.
- Preventing criminal, hostile or mischievous use of autonomous and unmanned systems, or attacks of the systems themselves, especially through “security by design”.
- How is digital culture affecting how people define culture?
- What could government do additionally, or differently, to facilitate increased use of its data, and longer-term monitoring of trends?
- Low-cost tools for detecting threat items in bags.
- What impacts are smart speakers and broader connected devices having on radio listening and on radio providers? What are the opportunities for voice activation usage on smart speakers?
- What are the possible technical solutions to link AHT-related datasets together, particularly given the lack of Uniform Resource Names (URN) across datasets holding AHT data?
- How can advances in communication technologies be used to inform our understanding of trade in digital services?
- What patterns are we likely to see in AI diffusion and adoption throughout the economy?
- What modern provisions most effectively address emerging technologies, emerging data flows and digital trade?
- How can data flows be rapidly improved, promoting data sharing across research, government and industry to allow secure collaboration?
- In response to a trade shock, what innovative approaches to support data collection, dissemination and application can be taken, without burdening businesses and frontline staff?
- How can we use digital innovation and precision farming techniques to measure animal health and welfare outcomes for livestock, and to provide early warning of livestock disease and health threats?
- Data science: Application of techniques, including AI and block chain, to unlock opportunities for improved and more efficient environmental monitoring, regulatory compliance, and land management
- Advanced electronics: How will sensors, omics, geographical information systems, internet of things, be used to support regulation and enforcement needs across the agri-envrionmental and food sectors?
- Development of models to support decision making on complex and wicked problems (for example on land use, environmental trade-offs, food systems)
- How to model supply chains using real-time data to ensure effective supply chain security management?
- What information, data and tools are required to support effective actions?
- How far can data analytics software help make sense of digital information at scale?
- How should the government best enable its transformation work to be ‘cloud native’ through scalable and secure digital services?
- How should the Civil Service best enable transfer of digital innovations from the private sector into government? How can it identify and collaborate with business leaders in other sectors of the economy who face similar technology challenges?
- How should government make best use of high-performance computing resources and emerging quantum computing technology?
- How can government make best use of its data to identify users with multiple complex needs? How can integrated service provision improve outcomes for these individuals?
- What has been effective in supporting businesses to adopt digital technologies? What difference have these made to productivity?
- What is the best way to secure the inclusion and accessibility of radio on smart devices? What is the current value exchange between smart device platforms and UK radio stations, and how is this likely to change in the future? What are the audience demographics for old digital (DAB) radios vs new DAB+ devices.
- To what extent do audiences who watch linear TV engage with digital technologies such as on demand players, broadband at home, and smartphones?
- What are the characteristics of those who watch linear TV but engage very little with digital technologies? Why is their engagement low? What are the barriers and enablers for adopting non-linear TV?
- What interventions have been effective in AHT sectors for narrowing the digital skills gap in their workforce and for improving digital infrastructure?
- How is digital culture affecting how people interact with both physical and digital forms of culture? Are they substitutes or complements e.g. can digital engagement increase physical engagement? What does this mean for future policy interventions and business models?
- How can maritime information (including navigation) be digitalised to allow machine reading alongside human inter-operability, is different information required by autonomous systems?
- What innovative approaches to data in education could increase staff capacity and reduce workload?
- What resources are required to ensure the safe and efficient handling of data in education settings?
- How will new and emerging technology assist in the operation, maintenance, and renewal of the Strategic Road Network?
- How can new technologies, digitalisation and data analytics be utilised to improve transport networks, user experience and create more effective and cost-efficient transport systems?
- How can we improve the provision of information; set standards; and use new technologies to improve aviation safety and security?
- How can quantum processing benefit analytical approaches to modelling and simulation of transport data?
- How can we use digital twins to increase resilience, responsiveness, and integration of our network (cross modally)?
- Better understanding the end-to-end value of investment in policing technology
- Improving our ability to adopt digital innovations in policing
- Technology or techniques to identify prohibited and restricted articles (for example, people, money, drugs, tobacco, counterfeit goods and species that require a permit under the Convention on International Trade in Endangered Species of Wild Fauna and Flora [CITES]).
- Research and development in all forensic science areas: the rapidly expanding digital forensics; “conventional” areas such as fingerprints and DNA; and many other niche areas. Using general scientific advances and insights in the forensics domain.
- What can DLUHC learn from other organisations who are using a data science approach? What drives organisations to develop cutting edge data science? And how can this support delivery in our policy areas?
- Consistent and long-term environmental monitoring: Time-series increase in value for ecology and policy making as they grow in length. Decades of data are required to answer emerging questions around, for example, climate change impacts on biodiversity and the efficacy of management measures
- How will trends in digital information impact disciplines e.g. history, archival research and recordkeeping? How will future historians looking back at our era and use archives of digital information?
- How can we best ensure that digital information remains accessible over time? For example, how can new technology assist with the migration of data between proprietary platforms at scale over an indefinite time period?
- How should government make use of data for public good and to enable government transformation?
- How can government increase its capacity to adapt to and exploit the next curve of innovation in digital, data and technology?
- How will the use of generative AI to create ‘deepfakes’ that manipulate people’s likeness (face, body, voice) evolve? What is the psychological impact of being deepfaked, and what harmful uses (e.g. intimate image abuse, fraud, reputational damage) will develop and increase?
- What requirements should apply to navigation bridge sensors and controls for use in MASS, in particular human and machine interfaces, update rates, and data representation?
- Approaches to parsing images automatically.
- How can effective accountability and governance through complex AI supply chains be achieved? How can joined-up approaches with AI/digital experts in industry and academia be encouraged to develop, share knowledge and resources in ways that leverage synergies and efficiencies? e.g., sandboxes and incorporate learning from international contexts?
- Statistical techniques: to better measure effects within our research and the analysis of our data; learning from new methodologies to analyse and interrogate administrative data, particularly missing information, low frequencies and counts, and approaches to data linkage.
- How can the use of data and technology support our workforce with case management, risk mitigation, and the delivery of effective supervision?
- How can policing best provide Chief Officers and deployed officers with real-time information about workforce and assets, including remote briefing capabilities and file transfer?
- Ubiquitous sensing and processing - in the future, sensors will become smaller and cheaper leading to their wide availability both in civilian applications and in defence. They will also be available to our adversaries. How they are deployed and how the information they generate is managed and used will be key. We need to understand how they will be networked and how automation could be exploited to task and manage them.
- Simulation, agent-based modelling and hybrid modelling methods: optimisation methods; forecasting techniques; resource modelling, and performance frameworks, to inform and optimise the running and delivery of the MoJ estate and operations, to ensure they run effectively, efficiently, and productively.
- How do other customer-centric organisations mitigate issues surrounding uncertainty of service delivery which policing could look to adopt?
- What methods can policing use to enable data fusion or linkage across datasets to enrich the evidence intelligence picture across both structured and unstructured sources?
- What are the opportunities of emerging technologies (quantum and AI) to revolutionise our ability to map underground assets?
- How can we better understand novel uses or applications of AI in the geospatial ecosystem, such as in the analysis of Earth Observation and Population Movement data, 3D visualisation, and climate modelling?
- What new and emerging technologies (including cloud, Artificial Intelligence, Machine Learning, and Augmented Reality/Virtual Reality) will impact geospatial skills and innovation, and access to geospatial data in the future, and how could the UK leverage these technologies?
- How is the use of Age Assurance technologies for the child online safety sector likely to change over the next 5 and 10 years?
- What are the current approaches to measuring the accuracy of Age Assurance technologies/ solutions?
- What new skills/professions are likely to emerge as a result of future telecoms technologies and how can the UK be best placed to exploit them?
- Evaluate the technologies that will drive smart networks: evidencing the utilisation of the UK’s lead in AI and Edge technology to develop self-organising, secure and highly optimised network software.
- What impact do open internet regulations have on the efficient deployment and use of full fibre and 5G networks to meet the growing connectivity demand? How do changes in these regulations impact network investments, deployment and use - e.g. impact on traffic growth, traffic management, costs for ISPs and requirements of new use cases?
- What are the potential cases and market failures Privacy Enhancing Technologies (PET) might help to resolve? What are the potential barriers to their adoption? What are some of the most adopted PETs in use in the UK?
- How can governance and standards frameworks encourage greater inclusion and security across the ecosystem? What would a good framework for measuring inclusion in digital identity markets look like? How can we minimise security and privacy risks within digital identity solutions?
- What are the most common connected technology convergence points we will see realised in the UK in the next 5-10 years? What are the applications of these converged connected technologies? Which sectors will be most impacted? Will there be an increased cyber attack surface for converged technologies? How can the cyber security of converged technologies be managed?
- How can connected technologies can be secured when liability and responsibility of product security is unclear, due to convergence of technologies and systems. I.e., taking a system-of-systems approach, how can holistic and robust cyber security be ensured? What is the series of measures required to safeguard the whole system? For example, taxonomy of cyber security risks and threats from the research phase through to product development, deployment and embedding with other technologies and systems. How could the UK produce a world-leading approach to securing emerging technologies through an end-to-end process?
- What is the most effective method for incentivising responsible technology design, in terms of cyber security? What are the barriers or blockers for using secure by design principles for cyber security of emerging connected technologies? Where have we seen successes in adopting secure by design principles for connected technologies? Is there a gold-standard or case study where security of a product has been considered during early inception? Has led to greater security of the product and fewer breaches?
- Are there different hierarchies, professional groups or user types and behaviours that aid or block cyber security implementation? How do we best understand this both quantitatively and qualitatively?
- What are the systemic links between the growth of the UK cyber sector and the efficacy of cyber interventions? Does growth of the cyber sector have an inverse relationship with the impact of interventions? What are the reinforcement and control loops in this system?
- What are the barriers to delivery of fibre-to-the-premises across the UK? What possible solutions exist to these barriers?
- What is needed to enable the public sector to adopt AI?
- What are the most robust methodologies for assessing the effectiveness of technology used for education?
- What are the cyber security risks within the school estate? What is best practice for cyber security in schools and how can we scale this across the school estate?
- To what extent has the COVID-19 pandemic and transition to more online/hybrid events changed the domestic/international digital footprint of AHT organisations based within the UK?
- How can new approaches and technologies be applied to perform targeted screening of groups of people?
- How can policing utilise smart assistants, such as to manage the logistics of police deployment and tasking or to ensure that victims and witnesses receive the best possible support?
- How will AI affect existing kinds of harmful online content (e.g. online abuse, scams) and what new kinds of online harmful content might it give rise to?
- AI will democratise access to capabilities that used to be expensive or hard to access, and create new capabilities that didn’t previously exist. As barriers (e.g. technical skills, access to specialist equipment) are reduced, AI use will increase. What is the prevalence of AI generated content online?
- What approaches or innovation are needed to support the efficient handling of data within education settings?
- How do device ratios impact students and teachers?
- How can we adapt research methodologies to robustly measure the impact of technology in education, given its fast-moving nature?
- How do AI and other digital technologies support existing ways of working in schools and colleges? What are the main opportunities for the future?
- How can new approaches and technologies be applied to enhance the detection of threat materials and items that could harm transport systems?
- What is the role of remote operation (assistance, decision making & control)? What are the skills and requirements for such operation for autonomous systems?
- Making best use of big data to predict events and trends that impact on policing
- How can we better understand the opportunities and impact of the use of digital technology on those engaging with the courts and tribunals system?
- How can we improve forecasts of case volumes for the courts and tribunals system? How can we better understand future demand and supply, to help plan for the delivery of services?
- How might technology shape the future requirements of, and services offered by, the legal profession and sector? How can LawTech and innovation support greater access to justice?
- Assuring the integrity of documents (possibly electronic), for example involving distributed ledger technology and advances in materials.
- Using biometrics, digital and behavioural aspects to assure identity and to understand and mitigate the possible deception of systems.
- Allocating resources optimally, including using data science effectively (for example to improve targeting).
- Digital forensics especially in light of rapid technological change.
- Improving speed and accuracy of existing forensic approaches (for example, rapid DNA profile extraction and analysing seized digital media).
- Building security into the design of distributed ledger technologies.