• uneswadaic@gmail.com
  • uneswadaic@uneswa.ac.sz
Research & Innovation

Turning data into evidence, insight & impact.

DAIC advances interdisciplinary research in data analytics, predictive analytics and artificial intelligence to address real-world challenges and support sustainable development and social transformation.

Research at DAIC

Research that responds to real-world challenges.

The Data Analytics and Innovation Centre is a multidisciplinary research and innovation hub established under the Faculty of Social Sciences at the University of Eswatini.

Our research harnesses data analytics, predictive modelling, artificial intelligence and related technologies to generate knowledge, support evidence-based decision-making and contribute to national and regional development.

DAIC encourages interdisciplinary collaboration across academic departments while building connections with industry, government and development partners.

Our Research Approach

From complex data to meaningful solutions.

We seek to transform data and analytical capabilities into practical insights, predictive knowledge and innovative solutions that can create measurable social and economic value.

Research Focus

Areas of Research

DAIC brings together data science, analytics and artificial intelligence to explore development-oriented research questions.

01 / ANALYTICS

Predictive Analytics

Developing predictive models and forecasting approaches to anticipate trends, risks and future outcomes.

02 / AI

Artificial Intelligence

Exploring responsible applications of artificial intelligence to address complex organisational and societal challenges.

03 / DATA

Big Data & Data Science

Applying data science approaches to extract useful knowledge from complex and high-volume datasets.

04 / SOCIETY

Socio-Economic Analytics

Using data and analytical methods to understand social and economic conditions and inform development decisions.

05 / GOVERNANCE

Evidence-Based Governance

Supporting policy, planning and institutional decision-making through reliable evidence and data intelligence.

06 / INNOVATION

Data-Driven Innovation

Experimenting with data-driven tools, technologies and approaches that can translate research into practical impact.

Our Research Model

From Data to Impact

Research becomes meaningful when knowledge can inform decisions and contribute to solutions.

Data Collect & understand
→
Analysis Explore & model
→
Insight Generate knowledge
→
Decision Inform action
→
Impact Create value
Research Applications

Research Across Sectors

Predictive analytics and data-driven research can support decision-making across sectors that matter to society and the economy.

01

Healthcare

Predictive analytics and data intelligence for understanding health-related trends and supporting better decisions.

02

Agriculture

Analytical and predictive approaches that can contribute to agricultural planning, forecasting and decision-making.

03

Finance

Data-driven approaches to understanding financial trends, patterns, risks and organisational decisions.

04

Education

Using analytics and predictive methods to generate insight that can support educational planning and outcomes.

DAIC
RESEARCH
Academia
Industry
Government
Development
Collaboration

Interdisciplinary by design.

Many of today's development challenges cannot be solved through a single discipline. DAIC promotes collaboration across academic fields and connects researchers with organisations that need data-driven solutions.

Through these connections, research can move beyond theory and contribute to practical solutions and community wellbeing.

Academic Departments Cross-disciplinary research
Industry Applied research & innovation
Government Evidence-based solutions
Development Partners Research for social impact
Knowledge Dissemination

Research Outputs

DAIC is committed to sharing research knowledge through publications, conferences, community engagement and other channels.

Publications

Research Publications

Peer-reviewed research and scholarly contributions in data analytics, predictive analytics and artificial intelligence.

Conferences

Conference Contributions

Sharing research findings and emerging insights through academic conferences, seminars and research events.

Insights

Analytical Insights

Translating research and data analysis into accessible insights that can inform decision-making.

Reports

Research Reports

Producing research-based reports that communicate findings, analysis and recommendations.

Engagement

Community Engagement

Connecting research and innovation with communities and organisations to support meaningful social impact.

Knowledge

Knowledge Exchange

Creating opportunities for researchers, professionals and partners to exchange knowledge and expertise.

Research Portfolio

Research Projects

Explore DAIC research initiatives and projects as the Centre's research portfolio develops.

Portfolio

Featured Research Projects

Research projects and initiatives will be featured here as DAIC's research portfolio continues to grow.

Collaboration

Collaborative Research

Joint research initiatives involving academic, industry, government and development partners.

Innovation

Emerging Innovations

New data-driven tools, technologies and experimental approaches emerging from DAIC's innovation activities.

Building the research portfolio: This section is designed to be updated with confirmed DAIC projects, research partners, project outcomes and publications as they become available.
Ethics & Responsibility

Innovation with responsibility.

DAIC promotes the ethical, responsible and transparent use of data and technologies. Research and innovation should create value while remaining aligned with societal values and sustainable development.

01

Ethical Data Use

Promoting responsible approaches to collecting, analysing and using data.

02

Transparency

Encouraging clear and accountable approaches to data and technology.

03

Responsible AI

Supporting AI applications that consider their wider societal impact.

04

Sustainable Impact

Connecting innovation with sustainable development and social transformation.

Research Collaboration

Have a research challenge?

Let's explore how data analytics, predictive modelling and artificial intelligence can help turn complex challenges into actionable insight.