LocationsBridging context and reality: Last mile R&D in practice through the Japan SDG Innovation Challenge
June 22, 2026
Solutions rarely move from one country to another exactly as they are. Infrastructure, regulations, user needs and institutional realities vary too much. That is why UNDP focuses on testing solutions in real development settings before they are taken to scale: not to prove an idea in the abstract, but to understand what it would actually take for it to work locally.
This kind of field-based “last mile” R&D helps reduce risk for companies, governments and partners. It works as a de-risking mechanism along three dimensions: (i) it reveals practical constraints early, before resources are committed to solutions that may not fit the context; (ii) it creates direct access to local institutions and users allowing for co-creation pathways early; and (iii) it helps outside innovators navigate unfamiliar markets and regulatory environments with greater confidence.
The 2025/6 Japan SDG Innovation Challenge (JSIC) 2.0, supported by the Japan Cabinet Office (JCO) and delivered through UNDP's Digital, AI and Innovation Hub in partnership with the Japan Innovation Network (JIN), put this model into practice. Under the Challenge, the JCO supported Japanese companies to test whether their solutions could translate into development contexts, pairing technical expertise with UNDP's local networks and institutional access. This support enabled two R&D tracks, sustainable tourism and information integrity, to move from distributed signals to field-tested prototypes. Two pilot study tours, to Tanzania and Bangladesh, were one of the mechanisms for that research, and showed what these de-risking dimensions look like in practice.
I. Tanzania: Sustainable tourism and ecological resilience
Tanzania’s tourism sector sits at the intersection of economic opportunity and ecological stewardship, making it strong testing ground for how digital tools can support both at once. Sustainable Tourism emerged as a global R&D priority through horizon scanning across UNDP’s network of Accelerator Labs. Distributed R&D surfaced 49 experiments from 28 countries across five regions, pointing to a shared challenge: how to shift tourism from an extractive industry toward a regenerative, community-based model that strengthens economic resilience while reducing environmental impact. We worked with four Japanese companies directly relevant to these conditions:
- TOPPAN Ecquaria - specialising in secure identity frameworks and Smart-ID systems for digitised visitor ecosystems.
- Hakki Africa - bridging digital inclusion and transport microfinance to integrate local transit operators and micro-businesses into the emerging tourism economy.
- Pegara Japan – providing low-overhead computer vision AI for wildlife tracking and automated conservation.
- Synspective – platforming Synthetic Aperture Radar (SAR) satellite data for environmental monitoring and flood risk mapping.
What the field revealed
During the Tanzania study tour, the Msimbazi river basin showed what stress-testing a solution on the ground looks like. This is a densely populated urban watershed that floods seasonally with serious consequences for the communities living alongside it. The basin lacks a way to track flood extent as it happens and cloud cover during storms makes standard satellite imagery unusable. Synthetic Aperture Radar (SAR), which has the ability to see through cloud cover, could map flood extent in near real time, a capability the site does not currently have. But mapping is not the same as warning. Whether that data could become something a flood response team would act on depends on more than the satellite, it depends on building the right relationships and formats together with the people who would use it. That is the layer the study tour could open up but not resolve in a single visit. The matchmaking sessions at COSTECH's Buni Hub and the consultation with TISEZA on investment frameworks and regulatory pathways pointed to the same conclusion from a different angle: the institutional environment is not an obstacle to navigate around. It is part of the solution, often producing the partnership structures and agreements that would otherwise take time to establish.
A related but distinct problem emerged at the Pugu Forest landfill. This is a site absorbing over 2,000 tonnes of waste daily, with visible leachate seeping into surrounding areas and methane gas building up from decomposing organic matter, conditions that put nearby communities at risk. Rangers need to detect illegal encroachment and thermal hazards across a large and difficult terrain, but the site has limited data on waste volumes, limited tracking from collection to disposal, and no early warning for the fires that periodically break out. A digital tracking platform, layered with AI-driven monitoring, could close some of that gap, flagging hazards and improving collection routes. But any such system would have to run without the power-intensive infrastructure the site cannot support. The visit made tangible something easy to miss from a distance: the most impactful solution is not the most advanced one, but the one most precisely calibrated to what the environment can actually sustain.
Zanzibar brought a third problem into focus. Stone Town's UNESCO-protected heritage status and the fragile ecology of Jozani Forest, home to the endemic Red Colobus monkey and the island's only national park, place firm boundaries on what digital infrastructure can be deployed and how, while the island's tourism economy depends on managing visitor flows to these same sites. A digital identity or smart pass system could help track and manage that flow, generating the kind of visitor data conservation authorities currently lack. Consultations with the Zanzibar Ministry of Tourism were the moment at which field observations connected to policy, identifying specific entry points where a pilot could realistically begin.
II. Bangladesh: Trust and infrastructure in a digital economy
Few countries combine rapid digital transformation with as much hands-on experience managing climate shocks as Bangladesh, making it an ideal place to learn what it takes for information systems to hold up when it matters most. This is the focus of a parallel R&D track, drawing on UNDP's multi-country experience, that explores how digital and AI tools shape public information ecosystems in climate-exposed contexts. In high-density, disaster-exposed environments, information integrity is not an abstract governance principle, it is the baseline that determines whether digital public services and emergency systems can be trusted when a crisis hits. We worked with four companies to explore what that baseline requires in practice:
- Spectee – providing near real-time AI-driven crisis and misinformation monitoring for emergency response agencies.
- Tenchijin, Inc. – leveraging space-based land assessment and smart data analytics for municipal infrastructure diagnostics.
- Verbex – augmenting Speech-AI for voice processing, language comprehension, and audio verification.
- TOPPAN Ecquaria – specialising in E-Governance and Digital Public Infrastructure (DPI) for secure public agency communications.
What the field revealed
Bangladesh's study tour showed something different from Tanzania. The focus was not ecological but institutional: the question at every field visit was whether the people and systems receiving new technology could make it perform reliably when it mattered.
At the Kaliakair Hi-Tech Park in the Gazipur Innovation Corridor, the underlying problem was foundational. Any digital public system depends on infrastructure most people never see, fibre-optic backbones, data centre capacity, hardware, and whether that foundation could support new digital services was not something a specification document could confirm. A dialogue with Fiber@Home, a major nationwide telecommunications provider, explored where integrations could realistically be built on existing networks, and where investment in that foundation would need to come first. The conversation was less about what new technology could do than about what the network underneath it could carry.
The visit at the Bangladesh Meteorological Department and the Ministry of Disaster Management brought a different problem into focus. Bangladesh faces recurring tropical cyclones and monsoons, and disaster response depends on data that arrives in time and is trusted. AI-driven crisis visualisation could help ingest and verify disaster data faster, but only if it could do so without generating false alarms that would erode the institutional confidence the whole system depends on. A system that raises false alarms would quickly lose the trust it needs to function. The technical and governance sides of this problem turned out to be inseparable.
A conversation with Dhaka WASA and Max TapWater raised a third problem: detecting underground water leakage across a megacity of over 20 million people. Space-based analytics could make this technically possible, but the open question is what kind of output a utility's maintenance teams would use day to day. That question could not be answered in a single meeting, and became one of the conversations companies carried forward after the tour.
What stood out across all conversations was not the technology under discussion but direct access to the institutions themselves: the data centre operator, the meteorological agency, the disaster ministry, the utility provider, each one a doorway to co-creation and contextual adaptation.
What comes next
The study tours were not designed to deliver outcomes on the spot. Their purpose was to generate the conditions under which the right questions can be asked, the right relationships formed, and the right proposals shaped. What happens next is, by design, in the hands of the companies themselves. Several left Tanzania and Bangladesh with follow-up proposals and concept notes already in motion, the kind of groundwork that, without these tours, would have taken years of remote correspondence to build, if it happened at all. The detail of those proposals sits appropriately within bilateral conversations rather than on these pages.
The JSIC model now has a track record across two countries and two very different R&D priorities, pairing Japanese technical expertise with UNDP's local networks and last-mile R&D approach. Beyond these two tours, it opens a wider pathway for collaboration between Japan, partner countries, local institutions and development actors around shared challenges. Future iterations could extend the model to new geographies, new R&D priorities, or bring returning partners back to move promising concepts toward pilot stage. Each iteration would deepen the same underlying ambition: to turn Japan's innovation capacity and UNDP's country presence into practical partnerships that translate solutions into lasting impact on the ground.