The review, conducted by a team of researchers at Huazhong University of Science and Technology in Wuhan, China, followed the PRISMA guidelines for systematic reviews and searched the SCOPUS database across multiple stages between April and October 2025. After an exhaustive screening process that began with more than 400 identified records and expanded through successive keyword searches covering waste classification, disposal, recycling, health issues, and health protection, the team ultimately coded 81 peer-reviewed articles for detailed analysis. The quality of the reviewed studies ranged from moderate to high, with 68 percent published in journals carrying an Impact Factor or Citescore, and a bias assessment of a randomly selected subset confirmed that study quality was broadly consistent with publication venue standards.

The central finding is striking in its breadth: AI technologies are now deployed across all five major stages of waste management, from source classification and separation through collection logistics, treatment and resource utilization, final disposal, and even strategic planning. The classification and separation stage dominates the literature, accounting for 47.5 percent of reviewed articles, with source-level classification and management alone making up 29.2 percent. Computer vision systems, smart trash bins, and sensor-equipped recycling plants can identify and sort waste in real time, while AI tools at the point of waste generation monitor disposal behavior and detect misclassification before hazardous items ever reach a conveyor belt.

Underneath these applications lies a taxonomy of four technical paradigms. Supervised learning, which learns mappings between input and output variables from historical data, appears in 39.5 percent of articles, powering convolutional neural networks like YOLO, ResNet, and VGG variants that achieve high-precision waste identification, as well as models such as XGBoost and random forest that predict municipal waste generation trends. Deep learning is the largest single category at 51.9 percent, encompassing hybrid CNN-LSTM architectures that simultaneously classify waste images and forecast gas production, transformer-based models, and lightweight networks designed for high-speed sorting at container terminals. By contrast, unsupervised learning techniques such as K-means clustering and self-organizing maps appear in only 4.9 percent of studies, and reinforcement learning in just 2.4 percent, mainly optimizing catalytic degradation of plastics through adaptive trial-and-error reward mechanisms.

When the authors coded the health risks these technologies address, five distinct categories emerged: chemical toxicity risk at 27.2 percent, general public health risk at 21 percent, infectious risk at 9.9 percent, physical injury risk at 3.7 percent, and occupational exposure risk, the largest category, at 42 percent. Crucially, more than 40 percent of the reviewed articles focus on how AI mitigates risks tied to occupational exposure, and the affected populations extend well beyond formal employees. Informal recyclers sorting e-waste without protective equipment, demolition workers, healthcare workers handling biomedical waste, and residents of surrounding communities all appear as beneficiaries in the reviewed literature, though the authors note that health outcomes are generally inferred from empirical study designs rather than directly assessed through medical measurement.

The review identifies three primary pathways through which AI actually alleviates hazards. The first is automated risk-source isolation: image recognition systems can detect infectious medical waste, electronic components containing hazardous chemicals, or damaged chemical containers and sort them out of the stream before any human touches them, eliminating the direct contact that defines traditional manual sorting. The second is robotic substitution for high-risk tasks. AI-driven robotic arms and automated production lines now perform repetitive, high-exposure operations such as sorting, crushing, and transporting waste, shielding workers from physical cuts, biological infections, and dust inhalation while relocating them to back-end monitoring and management roles.

The third pathway operates at the macro level, combining real-time environmental monitoring with predictive analytics. Sensor networks deployed at landfills and processing facilities continuously track air quality, toxic gas concentrations, and leachate leakage, and supervised and deep learning models can issue early warnings when conditions turn dangerous, allowing managers to evacuate personnel or adjust operations before sudden, high-concentration exposures occur. Unsupervised learning adds another layer by mining long-term datasets of environmental records, worker health profiles, and operational logs to uncover latent risk patterns and chronic-disease hotspots. Cluster analysis and pollution dispersion simulations can then delineate zones with differentiated risk levels, providing a scientific basis for tiered protection standards, optimized facility layouts, and rationally arranged working hours.

Yet the authors are emphatic that technology alone cannot deliver these gains. Their policy analysis identifies four institutional priorities for responsible AI deployment. Data privacy frameworks and unified technical standards for waste classification must accompany the large-scale data collection carried out by smart bins and sensor networks. High-risk waste streams need targeted regulation, such as legally mandated extended producer responsibility for e-waste and machine learning-optimized catalytic degradation for plastics. Incentive structures like tax breaks, subsidies, and green procurement should be paired with accountability mechanisms, including cross-regional enforcement against illegal dumping supported by remote sensing and image recognition. Perhaps most urgent is the question of equity: the review stresses integrating the informal recycling sector into formal systems, with governments funding local-language digital literacy and AI operation training so that waste pickers can transition into AI sorting oversight, waste inspection, and emission monitoring roles rather than being displaced by automation.

At the industry level, the review calls for shifting from efficiency-dominated design to health-oriented system development, scaling up demonstration projects for AI-integrated sorting and real-time risk monitoring in the highest-risk settings such as landfills, sorting facilities, and informal recycling zones, and strengthening collaboration between research institutions, waste enterprises, and public health authorities. It also ties these efforts to the circular economy: a United Nations Environment Programme report cited in the study projects annual net gains of 108.5 billion dollars from circular economy approaches, and AI-enabled waste characterization, demand forecasting, and material flow tracking could improve the stability and quality of recycled resources while enhancing EPR accountability.

The study is candid about its limitations. It does not systematically distinguish mature technologies from conceptual prototypes, many reviewed articles do not report measurable outcomes, and grey literature such as preprints and policy documents was excluded. It also flags an understudied irony: AI devices themselves generate e-waste, energy consumption, and noise pollution. Still, the core message stands out as a genuine reframing. AI in waste management, the authors argue, is not merely a technical achievement but a socio-technical transformation that integrates efficiency, health, and equity, and public health researchers should borrow medical research methodologies to quantify exactly how many exposures, infections, and injuries technological innovation is preventing. Without supportive institutions, they warn, even the most advanced algorithms cannot achieve safe, scalable, and equitable deployment, and the workers most exposed to waste hazards risk being left behind by the very technologies designed to protect them.

Subject of Research: Artificial intelligence applications for occupational and environmental health risk mitigation in waste management

Article Title: Deploying artificial intelligence for occupational and environmental health in waste management: a systematic review

Article References: Li, W., Ge, Z., Wang, H., Yuan, M., & Yin, Z. (2026). Deploying artificial intelligence for occupational and environmental health in waste management: a systematic review. International Journal of Public Health, 71, Article 1610020. https://doi.org/10.3389/ijph.2026.1610020

Image Credits: AI Generated

DOI: 10.3389/ijph.2026.1610020

Keywords: artificial intelligence, waste management, occupational health, environmental health, systematic review, deep learning, machine learning, robotics, public health, circular economy, occupational exposure, informal waste sector

The concept of grassroots innovation refers to networks of activists and organisations generating novel bottom-up solutions for sustainable development and sustainable consumption. Unlike the top-down model of innovation driven by policy, markets and formal science, grassroots initiatives typically emerge in response to social or environmental problems that public and private institutions have failed to solve. They often satisfy needs unmet by the state or industry, reshape social relations by involving disadvantaged groups, and enhance communities’ capacity to participate in socio-political life. India has a particularly rich history here: the Honey Bee Network, founded in 1988, has spent decades documenting and disseminating innovations devised by rural inventors, navigating the delicate balance between spreading ideas and protecting them from co-option by powerful actors.

To study plastic-focused initiatives, the research team developed a composite framework drawing on circular economy literature, studies of community waste management, and evaluative frameworks from the sustainability field. They characterised each initiative across six categories: context, appropriateness, governance and management, innovation, diffusion, and outcomes and impacts. Data came from thirteen semi-structured interviews with people involved in the fifteen initiatives, which spanned states including Haryana, New Delhi, Uttar Pradesh, Goa, Maharashtra, Karnataka, Assam and Kerala. The team coded transcripts deductively against the framework categories, with researchers in India and Australia cross-checking each other’s interpretations to strengthen the credibility of the qualitative analysis.

One striking finding concerned the circular economy strategies the initiatives actually pursued. Although the circular economy is often imagined as a hierarchy of actions, with refusing and reusing plastic ranked above recycling, ten of the fifteen initiatives focused on recycling, with only two each devoted to refuse, reuse and repurpose, and one to recovery. The researchers suggest this reflects a desire to tackle immediate, visible environmental problems such as littered streets and overflowing landfills, as well as the fact that collection can be organised with limited resources. The pattern hints at an untapped opportunity: with better support, community initiatives might branch into higher-order strategies that prevent plastic waste from arising in the first place.

Context, perhaps counterintuitively, was more often a barrier than a booster. Interviewees rarely cited enabling conditions, and where the regulatory environment did help, it was usually through municipal by-laws that made activities such as multi-way waste segregation compulsory, lending legitimacy even when enforcement was weak. National campaigns like Swachh Bharat Abhiyan and state bans on single-use plastics also created favourable conditions. More typically, however, initiatives ran into structural walls. India’s Extended Producer Responsibility rules were described by one participant as functioning less as a catalyst for recycling than as a business model that channels plastic to cement kilns, because the collection and segregation infrastructure needed for genuine recycling simply does not exist in many places. Another interviewee noted that tender prices paid under EPR, as low as 1.5 to 2 rupees per unit of service, made it impossible for a waste picker-managed collection centre to compete.

Infrastructure gaps compounded these regulatory frustrations. Some initiatives collected more plastic than local facilities could process; others found that the waste they gathered ended up in landfill or was burned because recycling centres were inaccessible or nonexistent. Building new infrastructure was often impossible without a reliable power supply or sufficient waste volumes to justify the investment. The low commercial value of certain plastics, and the unsuitability of contaminated material for recovery, further undermined efforts to repurpose or recycle what communities collected. Even the availability of affordable alternatives to plastic products proved a bottleneck, with one campaign for small vendors unable to supply viable substitutes at the time of its activities.

Where initiatives did succeed, three aspects of governance and management stood out: collaboration, stakeholder engagement and financial sustainability. Multi-stakeholder collaboration was the most commonly cited success factor, bringing together urban local bodies, waste management corporations, recyclers, community organisations and households. In one housing society segregation program, the municipality mandated segregation and funded bins, the waste corporation processed the material, and households operated the system. Public sector involvement also conferred trust, with one participant reporting that it generated considerable faith and comfort among citizens. Cross-sectoral partnerships proved equally important, as when an environmental group concerned about menstrual pad pollution joined forces with health departments after discovering the scale of health problems women were experiencing.

Engaging communities required overcoming real resistance. Interviewees described residents who found segregation an inconvenient burden, questioned the legitimacy of campaigns lacking government backing, doubted that individual actions could change anything, or simply prioritised livelihoods over environmental concerns. Successful initiatives countered these attitudes by providing early, personalised information, demonstrating tangible results, such as park benches made from beach-collected plastic, and working through existing structures like women’s groups, schools and religious leaders. Financial sustainability remained the Achilles heel: one initiative collapsed after its pilot phase when funding dried up, others limped along on personal funds, and public money was described as very minimal even where it existed. Some organisations achieved self-sufficiency through stall fees at annual exhibitions or by helping participants build businesses selling cloth bags or running their own waste collection centres.

Diffusion, when it happened, followed three distinct scaling patterns: strategic, demand-led and participant-led, alongside replication by governments or citizens and translation of ideas to new settings. A school initiative that lets children pay fees with collected plastic was invited by a state government to expand, though without funding the expansion stalled. Drop-off point schemes grew organically as participants established and managed new sites themselves. The innovations themselves clustered around three foci: most shaped alternative material arrangements through reuse, repurposing and recycling; seven built individual competences; and five created alternative socio-economic settings, notably by formalising informal waste pickers, providing them with identity documents, insurance, bank accounts and salaried employment. The authors argue this last dimension deserves more attention, since the circular economy has long been criticised for privileging economic and material flows over social equity, and in India, where the informal sector handles much of the nation’s waste, grassroots initiatives may be uniquely positioned to embed justice in the transition, provided policymakers treat them as stakeholders in their own right rather than passive beneficiaries.

Subject of Research: Grassroots innovation initiatives supporting a circular economy for plastics in India

Article Title: Transitioning to a circular economy for plastics in India: what role for grassroots innovation?

Article References: Ruoso, L.-E., Goswami, G., Retamal, M., Panandiker, A. P., Gupta, A., & Niazi, Z. (2026). Transitioning to a circular economy for plastics in India: what role for grassroots innovation?. Journal of Industrial Ecology. https://doi.org/10.1007/s44498-026-00194-x

Image Credits: AI Generated

DOI: 10.1007/s44498-026-00194-x

Keywords: grassroots innovation, circular economy, plastic pollution, India, waste management, recycling, informal waste sector, waste pickers, sustainability transitions, extended producer responsibility, community initiatives, social innovation

The research is grounded in an in-depth qualitative case study of the Brazilian plastic packaging sector, one of the largest in the Global South. The empirical base consists of ten semi-structured interviews with actors spanning the value chain, from packaging producers to recyclers and institutional stakeholders, supplemented by twenty-seven secondary sources including webinars, lectures, and industry events. The analytical coding structure was applied to identify patterns of upgrading across firms and their networks. Full interview recordings remain confidential because the combination of participants’ professional positions and accounts of specific circular initiatives could allow deductive identification, but de-identified excerpts supporting the findings are reported in the manuscript.

The study’s central contribution is the identification of three distinct and markedly uneven pathways of circular upgrading. The first is design and material upgrading led by focal firms, typically the large packaging manufacturers and brand owners with the resources to reformulate products, substitute conventional polymers, and introduce mono-material constructions. The second is process upgrading, in which firms improve internal efficiency and tighten control over material loops within their own operations. The third is network-dependent recovery and recirculation, which requires coordinated action across collectors, cooperatives, recyclers, municipalities, and regulators. The crucial asymmetry, the authors find, is that the first two pathways sit largely under the control of individual firms, while the third depends on collective infrastructure and institutional arrangements that Brazil, like many Global South economies, does not reliably provide.

The theoretical machinery behind this conclusion comes from the governance framework of global value chains. In that framework, the complexity of transactions, the ease with which they can be codified, the capabilities of suppliers, and the degree of coordination required jointly determine how value chains are governed, from arm’s-length markets to captive and hierarchical relationships. Costa and Scur extend this logic to circularity. Circular upgrading in design and materials, for instance, is tractable for focal firms because transactions with suppliers can be specified, codified, and monitored. By contrast, circular upgrading in recovery and recirculation involves transactions of high complexity that resist codification and depend on capabilities that are dispersed and unevenly distributed across informal waste pickers, small recyclers, and municipal systems.

Brazil’s institutional landscape plays a decisive role in these outcomes. The country’s National Solid Waste Policy, established by federal law in 2010, introduced the principle of shared responsibility for the product lifecycle and mandated reverse logistics systems, yet implementation has been fragmented and uneven. A 2021 law created incentives for recycling through fiscal mechanisms, but the researchers find that regulatory limitations continue to constrain network-dependent pathways. Informality compounds the problem: millions of waste pickers, or catadores, perform the frontline work of material recovery, often outside formal contracts, without guaranteed quality standards, and with limited bargaining power in the value chain. This informal foundation keeps the recovery loop partially functional but unstable, undermining the traceability and consistent recyclate quality that industrial buyers require for circular inputs.

The findings illustrate a broader pattern in Global Value Chain scholarship: power is unevenly distributed, and focal firms can impose requirements on suppliers while remaining insulated from the weakest links. In the Brazilian case, focal firms can demand recyclable designs and cleaner inputs from their supplier base, and they can audit process improvements within their own facilities. But they cannot, on their own, build curbside collection networks, formalize waste picker cooperatives, or guarantee the institutional stability that large-scale material recirculation demands. The result is a circular economy with a missing middle: sophisticated eco-design at one end, and a patchwork of informal recovery at the other, without the codified, quality-assured reverse logistics infrastructure that connects the two.

That infrastructure deficit has technical consequences, not merely administrative ones. Without reliable collection streams, recovered plastics arrive contaminated and heterogeneous, raising processing costs and lowering the quality of recyclate. Without codification of material specifications across the chain, downstream buyers cannot verify whether recycled content meets food-contact or performance standards. The study shows that these transactional failures are exactly what Global Value Chain theory predicts when capability gaps meet weak institutional coordination. Circular economy initiatives that focus exclusively on firm-level innovation, the authors warn, will keep colliding with these structural limits, because circularity is not a property of individual companies but of interconnected arrangements spanning technical, organizational, and institutional dimensions.

The comparative context sharpens the lesson. Prior studies of plastic packaging in Europe, Italy, Taiwan, and the United States have documented how mature extended producer responsibility schemes, standardized collection, and formal reverse logistics enable higher recirculation rates. In the Global South, by contrast, research has emphasized the pivotal role of informal recycling sectors and the co-creation of circular economy research agendas attentive to local conditions. Costa and Scur’s Brazil case bridges these literatures by showing precisely where the value chain severs: not at the design table, where focal firms have made genuine progress, but in the recovery and recirculation segments where network coordination and public capacity are essential. The pathway analysis thus offers a diagnostic template that can be applied to other Global South economies where similar informal-institutional configurations prevail.

For policymakers, the implications are concrete. Strengthening network-dependent pathways will require more than awareness campaigns or voluntary commitments. It demands investment in collection infrastructure, mechanisms to formalize and support waste picker cooperatives, codification of recyclate specifications that industry can transact upon, and regulatory enforcement that gives reverse logistics obligations teeth. For firms, the study suggests that design and process upgrading should be coupled with deliberate network-building, such as co-investment in sorting facilities and quality systems, since unilateral firm-level circularity cannot close loops that span the entire chain. For researchers, the work demonstrates the analytical value of marrying Global Value Chain governance concepts with Global Production Network perspectives that capture state and civil society actors alongside firms.

The research, supported by the São Paulo Research Foundation and the Coordination for the Improvement of Higher Education Personnel in Brazil, ultimately reframes the debate about plastics in the Global South. The question is not whether companies want to go circular, but whether the governance conditions exist to let circular materials, information, and value flow across a fragmented chain. In Brazil’s plastic packaging industry, the answer is a qualified yes at the level of the firm and a resounding not yet at the level of the network. Closing that gap, the study concludes, will require treating circularity as a collective achievement built on shared institutions, rather than a badge that individual firms can earn alone.

Subject of Research: How governance structures and institutional conditions shape circular economy upgrading pathways in the Brazilian plastic packaging value chain.

Article Title: Governance and upgrading in plastic packaging in the Global South: evidence from Brazil

Article References: Costa, L., & Scur, G. (2026). Governance and upgrading in plastic packaging in the Global South: evidence from Brazil. Journal of Industrial Ecology. https://doi.org/10.1007/s44498-026-00162-5

Image Credits: AI Generated

DOI: 10.1007/s44498-026-00162-5

Keywords: circular economy, plastic packaging, global value chains, governance, Brazil, Global South, circular upgrading, recycling, reverse logistics, informal waste sector, industrial ecology, sustainability