Virtual Networking Exchange
8th of April 2026

How does your work intersect with partnerships?

ACE Uganda (African Center of Excellence in Bioinformatics and Data-Intensive Sciences) is a research and training center at the Infectious Diseases Institute (IDI), Makerere University. Established in 2019 through a partnership between IDI, NIH/NIAID, and the Foundation for the NIH, ACE Uganda advances bioinformatics, health data science, and computational biology capacity in Africa. Its research spans antimicrobial resistance, human genomics, and digital health - applying machine learning, NLP, and mathematical modeling to pressing health challenges. The center has trained over 80 graduate students and offers MSc/PhD programs, short courses, and targeted initiatives like the She-Data Science program.
Partnerships are central to ACE Uganda's operating model. The center functions through a public-private consortium that includes NIH/NIAID, FNIH, RENU, the University of Texas at Austin, and Google DeepMind. ACE Uganda also contributes to the DS-I Africa consortium and the eLwazi Open Data Science Platform, and has developed digital health tools such as the HEAL application for frontline health workers. These collaborations connect African researchers to global computational resources and cross-continental networks, translating data science innovation into real-world health impact.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

Presenting at the Virtual Networking Exchange is important to ACE Uganda because it offers a direct opportunity to showcase our growing portfolio of data science and digital health innovations to the broader DS-I Africa community and potential partners. As a center that operates at the intersection of bioinformatics, AI/ML, and health systems research, we are actively seeking collaborations that can help scale tools like the HEAL application, expand our NLP and clinical data science work into new contexts, and strengthen cross-consortium data sharing through platforms like eLwazi.
We are most looking forward to connecting with other DS-I Africa hubs and external partners who share an interest in applied health data science for African settings - particularly around low-resource NLP, OMOP common data model implementation, and AI-driven tools for frontline health delivery. The exchange format is well suited for identifying concrete joint funding opportunities and collaborative projects that can accelerate translation and sustainability across the consortium.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

Our presentation will showcase the Metadata Harmonisation Tool, an open-source platform developed within the eLwazi ecosystem to address one of the most persistent bottlenecks in collaborative health research across Africa: getting diverse datasets to speak the same language.
The tool uses LLMs and text embeddings to accelerate the mapping of incoming dataset variables to a target codebook - a process that is traditionally manual, tedious, and a major barrier to building common data models across institutions. By automating variable description generation from study documents and providing AI-powered mapping recommendations with confidence scores, the tool dramatically reduces the time and expertise required to harmonise data across sites and studies.
This directly speaks to the theme of strengthening collaborative pathways because data harmonisation is the foundational step that enables cross-consortium analysis, multi-site research, and platform-level data sharing through initiatives like the eLwazi Open Data Science Platform. Without it, data remains siloed regardless of how many partnerships exist. The tool is also designed for sustainability - it runs on local infrastructure using open-weight models (Ollama), reducing dependency on commercial APIs and making it deployable in resource-constrained African settings.
We look forward to demonstrating the tool, sharing lessons from its development, and exploring how other DS-I Africa hubs and data science communities can adopt or extend it for their own harmonisation needs.

What should the participants expect?

Participants can expect a live demonstration of the Metadata Harmonisation Tool showing how LLMs and embedding models can automate the often tedious process of mapping dataset variables to a target codebook. We will walk through a practical example - from uploading a dataset and study protocol, to generating variable descriptions, to receiving AI-powered mapping recommendations - so attendees can see the tool in action. We will also briefly discuss the architecture, deployment considerations for African research settings, and how the tool fits into the broader eLwazi data sharing ecosystem. There will be time for questions and discussion on potential adoption or collaboration.

How does your work intersect with partnerships?

The APHREA-DST project is one of the training hubs in the DS-I Africa. Our project main aim is to advance public health research in Eastern Africa by establishing new multi-tiered training programs in health data science, with initial focus on Ethiopia and Kenya due to well-established
partnerships and demonstrated needs.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

We intend to showcase the project's milestones during the last four years of existence and discuss ways of collaboration with other DS-I Africa projects and stakeholders.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

We want to demonstrate the processes followed to develop successful MS degree programs in public health data science at the University of Nairobi, Kenya and Addis Ababa University, Ethiopia. Also to show how the other programs (namely practicum and research immersion, faculty development program, short course in data science, etc) have been successfully run, among others.

What should the participants expect?

The participants would gain from our experience in curriculum development in data science, collaboration with government agencies/research institutions and stakeholders, training young scholars to be competent in data science, and building research activities and output in public health data science.

How does your work intersect with partnerships?

We will like to showcase our work on ethical governance of data science health research

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

Our presentation would speak to the theme by addressing moral philosophical principles that can inform improved ethical governance of data science of health research in Africa and globally.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

An engaging discussion on novel principles of ethical governance of data science health reseearch

How does your work intersect with partnerships?

Cassava AI, a business unit of Cassava Technologies, is a global artificial intelligence solutions provider.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

We need to make sure that organisations realise that Africa is on the map with a Large GPU super compute cluster in Cape Town

How would your presentation speak to the theme, Sustainable Partnerships for Research?

We are solving the GPU compute deficit for Africa.

What should the participants expect?

Full update on who Cassava Technologies is, our AI offerings and the Nvidia AI Factory capabilities.

How does your work intersect with partnerships?

The Center for Translational Data Science (CTDS) at the University of Chicago is the maintainer of the open source software Gen3, which can be used to build data commons. These systems are used to share and analyze controlled access biomedical data and can be hosted on cloud or on-prem systems.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

CTDS is part of the eLwazi ODSP project and we are keen to support using Gen3 across Africa to enable projects to share data with colleagues and collaborators to support research advances on the continent.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

We support projects and consortiums to build data platforms that allow them to share data and collaborate with others. Gen3 allows groups to have a mechanism to securely access and analyze data that may be difficult to share due to its size, complexity, or restrictions on movement.

What should the participants expect?

I would present background on Gen3, its features, and a demo of its use. I could answer any questions groups have about how to set it up and operate a commons.

How does your work intersect with partnerships?

CREFPAM is a research and training center on molecular pathologies, we work in collaboration with NIH

How does your work intersect with partnerships?

Centre for Sexual Health and HIV and AIDS Research (CESHHAR) department of Environmental and Health work on environmental factors effects on health and training of data scientists in Africa

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

I am an emerging data scientist and getting feedback from the work over my school and gaining insights from other scientists will be of great importance shaping my knowledge and skills.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

The work I present on includes data science methods to understand the impact. Therefore, this helps in learning and mapping way forward over addressing environmental factors that affect vulnerable populations, such as pregnant women,

What should the participants expect?

More of the current status of work on PM2.5, where i will be talking about the effects of PM2.5 on preterm births and the objectives of the study. The data science methods i am currently using to understand these effects and ow these will then be shared with a wider audience for policy intervention.

How does your work intersect with partnerships?

The Centre of Excellence for Women and Child Health-East Africa (CoEWCH-EA) at Aga Khan University is a multidisciplinary research, training, and implementation hub dedicated to improving maternal, newborn, child, and adolescent health outcomes across sub-Saharan Africa. The Centre integrates epidemiology, data science, clinical research, and health systems strengthening to generate evidence that informs policy and practice.

Our work is inherently partnership-driven. We collaborate with national and county governments, academic institutions, international research consortia, and community-based organizations to co-develop and implement context-specific solutions. Through initiatives such as the BRIDGE Network and other collaborative projects, we leverage partnerships to strengthen data systems, enhance research capacity, and promote the translation of evidence into actionable health interventions.

These partnerships enable us to integrate diverse data sources, apply advanced analytical methods, including AI and Bayesian modeling, and support large-scale, multi-country studies. By working across sectors, we ensure that our research is not only scientifically robust but also aligned with real-world health priorities, ultimately contributing to sustainable improvements in health outcomes.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

Presenting at the Virtual Networking Exchange is important to our organization as it provides a strategic platform to share evidence-driven innovations in data science for health, particularly in maternal and child health across Africa. As the Centre of Excellence for Women and Child Health-East Africa at Aga Khan University, we are committed to advancing data-driven decision-making through collaborative research, capacity strengthening, and digital health solutions.

We are especially looking forward to engaging with diverse partners, exchanging ideas, and identifying opportunities for collaboration that can scale impactful solutions. The event offers a unique opportunity to connect with stakeholders across academia, policy, and implementation spaces to co-create sustainable, data-driven interventions that address pressing health challenges in Africa.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

Our presentation will directly align with the theme by demonstrating how collaborative, multi-institutional partnerships can drive sustainable impact in health data science across Africa. We will showcase ongoing initiatives that integrate data science, artificial intelligence, and health systems research, such as the BRIDGE Network and other collaborative platforms to strengthen data ecosystems and research capacity.

We will highlight practical models for collaboration, including co-development of tools, shared data infrastructure, and cross-country research, emphasizing how partnerships enhance scalability, innovation, and policy translation. Our work illustrates how building strong collaborative pathways enables the effective use of data to inform decisions, improve health outcomes, and shape the future of data science in Africa.

What should the participants expect?

Participants can expect a practical and insightful presentation showcasing real-world applications of data science in improving health outcomes in Africa. The session will feature:

Case studies from ongoing projects demonstrating the use of advanced analytics, including AI and Bayesian approaches, in health research
Lessons learned from implementing collaborative, multi-country data science initiatives
Practical strategies for building sustainable partnerships and strengthening data systems
Opportunities for engagement, discussion, and potential collaboration

In summary, participants will gain actionable insights, tools, and partnership ideas that can be adapted to their own contexts to drive impactful, data-informed solutions.

How does your work intersect with partnerships?

COBIP (Computational Omics and Biomedical Informatics Program) is a training and research initiative focused on building capacity in data science for health in Africa. Our work is deeply partnership-driven, bringing together universities, researchers, and trainees to strengthen skills development, and collaborative research in biomedical challenges.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

Presenting at the Virtual Networking Exchange is important because it provides an opportunity to share COBIP's model for capacity building, training, and collaborative research in biomedical data science. We are especially looking forward to connecting with potential partners, learning from other initiatives across DS-I Africa, and identifying opportunities for sustainable collaboration.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

Our presentation would highlight how COBIP contributes to training the next generation of African scientists in computational omics and biomedical informatics through collaborative, cross-institutional partnerships. It would show how shared expertise, and resource-building can strengthen the data science ecosystem in Africa.

What should the participants expect?

Participants can expect a concise overview of COBIP's vision, training activities and research focus. The presentation will emphasise the progress made on the project and highlight some of the successful outcomes.

How does your work intersect with partnerships?

D-SINE Africa is one of the DS-I Africa's Research Hubs, which main objectives includes Research (promote novel, high impact, and transformational research applying data science to reduce the burden of injury and surgical diseases through epidemiological studies, prevention strategies, disease surveillance, and clinical care optimization), Capacity Building and Networking. Our Networking aims are to will create and enhance connections between scientists, institutions, and stakeholders within its Cores, Projects, and the DS-I Africa Consortium.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

Presenting is vital because networking is a core pillar of the D-SINE Africa mission. We have already demonstrated the power of collaboration through our work with the INFORM Africa Hub in the D-SINE Africa consortium and by facilitating the implementation of a trauma registry in Kenya outside of the consortium.
We look forward to scaling this impact. Through our engagement with the DS-I Africa Consortium and external stakeholders, we hope to establish new interdisciplinary partnerships. We look forward to sharing our expertise and building the cross-border connections necessary to drive transformational health outcomes across the continent.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

Our presentation will demonstrate how D-SINE Africa transforms Collaborative Pathways into Sustainable Impact through proven models. By highlighting some of our success stories such as the collaboration with the INFORM Africa Hub and our role in developing a pilot trauma registry in Kenya, we will show how interdisciplinary partnerships bridge the gap between data and clinical care. We will also focus on capacity building and scalable surveillance systems that outlast individual projects. Our goal is to illustrate how building the future of African data science together creates a resilient, continent-wide network for reducing the burden of surgical disease.

What should the participants expect?

Participants can expect to receive a practical roadmap for bridging the gap between advanced data science and clinical surgical care. We will share actionable frameworks and collaboration toolkits for establishing sustainable research hubs that prioritize high-impact science and institutional capacity. Specifically, attendees will gain strategic insights into aligning diverse project cores and develop a clear vision for translating specialized research into scalable, real-world surgical surveillance and prevention strategies across the African ecosystem.

How does your work intersect with partnerships?

Intron Innovation Limited is Africa's leading Voice AI and speech infrastructure company, building the tools that enable machines to understand, speak, and respond in African languages. Our core products - including Sahara, our speech-to-text engine, and a suite of text-to-speech, voice authentication, and conversational AI APIs - are purpose-built for the linguistic and acoustic realities of African markets, across languages including Hausa, Yoruba, Igbo, Swahili, and others that global providers consistently underserve.
We operate across high-impact verticals: healthcare, judiciary, financial services, and enterprise customer experience. In each, our voice infrastructure is embedded into the workflows that matter most - clinical documentation, court transcription, call centre automation, and patient-facing triage.
Partnerships sit at the centre of how we work. Rather than building proprietary distribution in every market, we integrate our APIs and voice capabilities into the platforms our partners already operate - electronic health record systems, court management tools, CRM and CX platforms, and telecom infrastructure. This model means our technology reaches end users through trusted, established relationships, while our partners enhance their own product offering with best-in-class African voice intelligence.
We pursue partnerships with platform providers, system integrators, hospital networks, government agencies, and enterprise technology distributors who share our conviction that Africa deserves voice AI built specifically for it not adapted from elsewhere. Our partnerships are structured to be mutually commercial, deeply technical where needed, and long-term by design.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

The Virtual Networking Exchange represents exactly the kind of forum that matters to us at this stage of Intron's journey. We have built something technically differentiated and commercially proven, and the next critical step is connecting with the right partners, investors, and ecosystem players who can accelerate our reach across Africa and beyond.
For an infrastructure company, visibility in the right rooms is everything. Intron's value is multiplied through partnership , every platform provider, health network, or enterprise distributor we connect with becomes a potential channel through which our voice AI reaches millions of users we could not otherwise serve alone. Events like this compress relationship-building that might otherwise take years into a concentrated, high-quality exchange.
We are particularly looking forward to conversations with organisations working in healthcare, legal tech, fintech, and enterprise CX verticals where voice AI has transformative potential but where the right infrastructure partner makes all the difference. We are also eager to connect with investors and development finance institutions who understand the scale of the opportunity in African technology markets and are looking for companies already executing at the frontier.
Beyond deal flow, we value the peer exchange. Hearing how other organisations are navigating market entry, partnership structuring, and scaling across emerging markets sharpens our own thinking. The best partnerships rarely come from a formal pitch , they come from honest conversations, and we are here for both.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

Our presentation would sit at the intersection of every word in that theme and we mean that literally, not rhetorically.
Collaborative pathways are not an aspiration for Intron, they are our mantra and what we live by . Voice AI infrastructure only creates value when it is embedded into the platforms, workflows, and institutions that Africans already use. Our presentation would walk through how we have structured partnerships with health networks, legal institutions, and enterprise platforms not as vendor relationships but as co-creation arrangements , where Intron's voice intelligence and our partners' domain expertise and distribution combine into something neither could build alone.
Sustainable impact is where we would challenge the room. Too much African tech investment flows toward consumer-facing applications with unclear unit economics. We would present the case for infrastructure as the more durable impact play , showing how embedding voice AI into hospital documentation systems, court transcription workflows, and call centre operations creates productivity gains that persist, compound, and scale independent of grant cycles or investor sentiment.
Data science in Africa is where our work becomes most technically relevant to this audience. Every interaction our models process is training data that makes African language AI more accurate. We are not consuming a data science ecosystem , we are building one, generating proprietary African speech datasets that have value far beyond our own products. Our presentation would speak directly to researchers, data scientists, and institution builders about how voice infrastructure creates the data layer that future African AI depends on.
Together is the word we would end on. No single company solves this. But the right collaborative architecture , platforms, partners, policymakers, and practitioners aligned around shared infrastructure gete Africa to a future where technology finally speaks its languages.

What should the participants expect?

Our slides won't be full of market size statistics that the audience already knows.
Africa is a large and underserved market , that is table stakes. What we will bring instead is ground-level specificity: what it actually takes to build voice AI infrastructure in African markets, where the real friction points are, and what the data from our live deployments tells us about what works and what does not.
Expect a demonstration. Sahara, our speech engine, is not a concept , it is a working product processing African language audio in real time. We will show it, not just describe it.
Expect a frank conversation about partnerships. We will share how we structure collaborative arrangements, what we have learned from the ones that worked, and what conditions need to be in place for voice AI partnerships to generate durable value rather than short-term pilots that go nowhere.
Expect a perspective on African data science that centres infrastructure over applications. We believe the most consequential contribution any technology company can make to Africa's AI future right now is building the data layer and we will make that case directly and with conviction.
And expect to be invited into a conversation, not talked at. We are at the Virtual Networking Exchange because we are looking for the right partners, collaborators, and co-builders not to broadcast. The most valuable thing that could come out of our session is a room full of people who leave with a clearer sense of where Intron fits into what they are building plus what thry need to do now .

How does your work intersect with partnerships?

The NYU-Moi Data Science for Social Determinants training program is deeply aligned and collaborative across the DSI Africa network, consistently working the network to gain new knowledge for our trainees, and disseminate our findings/trainings via workshops.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

This is important for us in being able to provide more people with knowledge of our program and its opportunities.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

We would speak to furthering our collaborative agenda, widening our data science community of practice and engaging new participants.

What should the participants expect?

Participants should expect to learn more about the NYU-Moi DSSD program, what it has to offer and how to get involved.

How does your work intersect with partnerships?

The OHDSI Africa ETL Workgroup is a community of practice within the global OHDSI (Observational Health Data Sciences and Informatics) network a 300+ institution open-science collaborative spanning 80+ countries. Our workgroup specifically focuses on supporting African research institutions and health systems to convert their local health data into the OMOP Common Data Model (CDM), the shared international standard that enables federated, privacy-preserving health research across borders.

Based at the Rwanda Biomedical Centre (RBC) RIDS Division in Kigali, we work at the intersection of health informatics, data engineering, and capacity building. Our current work involves converting eBuzima EMR data Rwanda's national electronic medical records system covering 400+ health facilities into a research-ready OMOP CDM that can participate in international multi-country studies. We have active collaborators across Ethiopia, Kenya, South Africa, and Rwanda, and we maintain close ties with the global OHDSI coordinating centre at Columbia University.

Partnerships are at the core of what we do: we partner with Ministries of Health, research universities, and international health informatics networks to ensure that African patient data analyzed locally, with full data sovereignty can contribute to global evidence generation. Our model is simple but powerful: no patient data ever leaves the country; only aggregate, anonymized results are shared. This federated approach makes cross-institutional and cross-border collaboration both safe and scalable.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

Presenting at this event is important to us for two direct reasons.

First, visibility. OHDSI Africa is a growing but still emerging presence on the continent. Many African data scientists, health researchers, and institutions are doing excellent work with health data but are not yet aware that an open, global infrastructure with free tools, shared vocabularies, and a federated research model already exists and is actively welcoming African participation. This event is a rare opportunity to reach exactly that audience: practitioners, researchers, and decision-makers who are already motivated to strengthen Africa's data science ecosystem.

Second, partnership. Our workgroup has technical infrastructure and methodology, but what accelerates impact is connecting with complementary initiatives whether that is a DS-I Africa project with rich longitudinal datasets, a university with strong data science capacity, or a health ministry exploring research use of their HMIS data. We are looking forward most to the breakout room conversations: the unscripted moments where someone says "we have this data problem" and we can say "we have exactly the framework for that."

We also believe this event models what we are building: a distributed, collaborative network where each node contributes its strength and the whole is greater than the sum of its parts.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

The OHDSI Africa ETL Workgroup is itself a living demonstration of this theme.

On collaborative pathways: the OHDSI federated model is architecturally collaborative. Each African site retains full sovereignty over its data while contributing to multi-country analyses. When a researcher in Rwanda, Kenya, and Ethiopia can run the same analysis code on their respective CDMs and pool results without any patient record leaving its country that is a concrete, functioning collaborative pathway. We will show how this works technically and practically, not as a concept but as something we are already doing.

On sustainable impact: we invest deliberately in local capacity. Our approach is not to build a CDM for an institution and leave it is to train the data engineers, build the pipelines, and transfer the knowledge so that the system runs and improves without external dependence. The 2-week Data Standardization Training we delivered at RBC in March 2026, covering Python ETL pipelines, data quality frameworks, and ATLAS cohort analysis, is an example of this philosophy in action: 10-15 RBC staff who can now build, maintain, and extend the pipeline themselves.

On building the future together: OHDSI Africa is explicitly an open invitation. Any African institution with health data and the will to standardize it is welcome to join the workgroup, access the tools, and participate in international studies. We are not building a proprietary system we are building shared infrastructure.

What should the participants expect?

Participants should expect a focused, practical 10-12 minute presentation followed by open discussion. Specifically:

1. A 2-minute overview of what OHDSI Africa is and why the federated model matters for African health research covering the core principle that data sovereignty and international collaboration are not in conflict.

2. A 3-minute live or recorded demonstration of the OMOP CDM pipeline: showing how source data from (Rwanda's EMR) gets transformed into a standardized, internationally interoperable research database and what that enables in terms of cohort analysis and cross-site studies.

3. A 3-minute showcase of the OHDSI Africa ETL Workgroup's current footprint: active sites, the capacity-building programme, and what participating as an African institution actually looks like in practice.

4. A 2-minute open call: what we are looking for in new partners institutions with longitudinal health datasets, universities with data science capacity, and funders interested in scalable, open-source health data infrastructure for Africa.

Participants will leave with a clear understanding of: what the OMOP CDM is and why it matters; how their institution or project could connect with or benefit from OHDSI Africa; and concrete next steps to get involved. We will make our contact details, GitHub resources, and training materials available directly in the breakout room chat.

How does your work intersect with partnerships?

QuantSage.io is an AI-powered statistical analysis platform developed to make rigorous quantitative research more accessible to researchers, particularly in resource-limited settings. The platform has features which include: Data Quality, Power Calculation, Statistical Analysis, Systematic review, Result Interpretation and Discussion etc. Our work intersects deeply with partnerships - we are built on the belief that collaborative, cross-institutional input is essential to developing tools that are truly fit-for-purpose for African researchers and global health scientists.

Why is presenting at the Virtual Networking Exchange important to you, and what are you most looking forward to?

Presenting at this exchange is important to us because DS-I Africa represents exactly the kind of community QuantSage.io was built to serve - researchers and institutions advancing data science for health impact across Africa. We look forward to showcasing the platform, gathering feedback from leading African researchers, identifying potential collaborators and institutional partners, and exploring how QuantSage.io can be integrated into ongoing DS-I Africa projects and training initiatives.

How would your presentation speak to the theme, Sustainable Partnerships for Research?

QuantSage.io embodies this theme by providing a shared, accessible statistical infrastructure that lowers barriers to high-quality research across African institutions. By integrating AI-assisted analysis, power calculations, and systematic review tools, the platform enables researchers at varying resource levels to collaborate on equal footing. Our presentation will highlight how building and sustaining such tools through community-driven partnerships can create lasting, scalable impact for data science in Africa.

What should the participants expect?

Participants can expect a live demonstration of the QuantSage.io platform, showcasing its AI-powered statistical analysis capabilities, power calculation tools, and systematic review features. We will discuss the platform's potential for supporting African health research, share our development roadmap, and open the floor for discussion on how the DS-I Africa community can help shape its growth. Attendees will leave with a clear understanding of how QuantSage.io can support their own research and institutional work.