The Dutch see Red: (in)formal science advisory bodies during the COVID-19 pandemic

The paper investigates how the Netherlands’ political culture and institutional formats for science–policy interaction shaped the national response to COVID-19 (Jan–Dec 2020). Drawing on Jasanoff’s view that political culture and institutional arrangements drive responses to contentious science, the authors ask: What are the characteristics of governing and science advice in the Netherlands, and how did these imaginaries of citizen–state relations and science advice characterize the Dutch COVID-19 response? The analysis outlines macro-level styles of governance (corporatist, neoliberal, deliberative), the meso-level ‘playbook’ for pandemics and advisory bodies, and micro-level advisory processes during COVID-19, with a focus on the formal Outbreak Management Team (OMT) and the informal ‘Red Team’. The study aims to understand how these styles interacted across phases of the pandemic and how formal and shadow advice shaped policy choices, public communication, and legitimacy.

The study situates Dutch science advice within a triad of governance arrangements identified by Halffman and Hoppe (2005): corporatist (polder model, advisory bodies, planning bureaus such as RIVM), neoliberal (outsourcing expertise, small-state philosophy, market coordination, decentralised implementation), and deliberative/participatory (expertise as a resource for public debate, parliamentary hearings, media, and knowledge centres). The Netherlands’ consociationalism and polder traditions foster behind-the-scenes negotiation with strong roles for expert advisory bodies. Historical-institutionalist perspectives (Pattyn et al., 2021) frame how macro traditions shape meso structures and micro actor strategies. Pielke’s (2007) Honest Broker framework is used to interpret evolving roles of advisory actors (Pure Scientist, Science Arbiter, Issue Advocate, Honest Broker, Stealth Advocate). Prior analyses (e.g., Dutch Safety Board, 2022) have critiqued the narrow medical/OMT emphasis during early COVID-19, noting insufficient attention to social and economic impacts. This literature provides the conceptual basis for analysing tensions between corporatist consensus, neoliberal decentralisation, and deliberative pluralism during the pandemic.

Design: Literature review of secondary sources within the ESCAPE cross-national project. Sources and data collection:

• Official Dutch government sources: Tweede Kamer (Parliament) and Rijksoverheid (Central Government) websites.
• Keyword search: [OMT], [COVID-19], timeframe 01-01-2020 to 01-11-2020, yielding 248 results (letters to parliament, parliamentary questions, reports, publications, media texts, regulations, annual plans, flyers, memos, Wob-requests). Results compiled in supplementary ‘Policy document timeline’ (excel).
• Examination of all OMT meeting reports up to 4 January 2021.
• Dutch news media articles and online sources. Analytic approach: Mapping of macro (administrative traditions), meso (governance structures and the pandemic ‘playbook’), and micro (actor strategies/negotiations) dynamics over time (Jan–Dec 2020), focusing on advisory bodies’ composition, roles, and interactions (OMT, RIVM/CIb, BAO) and the emergence of the Red Team. A timeline of key policy/advisory events supports phase-based analysis (first wave; summer ‘speculation’ phase; second wave).

• Dutch governance triad: The COVID-19 response reflected an interplay of corporatist (formal expert advice via OMT/RIVM), neoliberal (outsourced/market-based expertise, decentralised implementation), and deliberative (public debate, parliamentary hearings, media) modes. Early corporatist tendencies created initial consensus but later conflicted with deliberative pluralism, especially in the second wave.
• Pandemic playbook: The 2008 Public Health Act codified a four-step process: (1) RIVM/CIb risk assessment and possible OMT convening; (2) OMT provides ‘best professional advice’ with uncertainty estimates; (3) BAO assesses administrative/political feasibility; (4) Minister decides; RIVM/CIb operationalises and communicates guidelines. Confidentiality is central until ministerial decisions are made.
• First wave (Jan–Jun 2020): OMT met first on 24 Jan; A-level procedure initiated 29 Jan; MCCb assumed lead 3 Mar. PM Rutte’s 16 Mar speech introduced an ‘intelligent lockdown’, initially emphasising controlled spread/herd-immunity narrative and personal responsibility. Strong deference to OMT and medical metrics (R-values, ICU occupancy) produced high early compliance but a technocratic focus sidelined broader social/economic impacts (Dutch Safety Board, 2022). A behavioural advisory unit at RIVM was created (1 Apr). Parliament called for broader expertise (22 Apr), but OMT remained dominant. On 4 May, OMT anchored advice on three pillars: healthcare capacity, protecting vulnerable groups, surveillance/knowledge of transmission.
• Speculation phase (Jul–Aug 2020): Relaxation began 1 Jul; management downscaled regionally (25 GGD regions). OMT remained sceptical of broad mask mandates outside public transport. Minister De Jonge sought ‘lessons learned’ (21 Jul). In late July, independent experts formed the Red Team to advocate precautionary, stricter measures; it gained media visibility and provided alternative advice, including on masks and school reopening. Government published 117 expert position papers on 31 Aug.
• Second wave (Aug–Nov 2020): Rising cases prompted re-centralisation; measures tightened (group limits, work-from-home, curfew considered, mask advice in crowded shops). The COVID-19 Roadmap (19 Oct) judged regional approach insufficient; emphasised rapid, accessible testing. Draft regulation for mandatory masks in indoor public areas, education, and contact professions appeared on 28 Oct; nationwide mask mandate took effect in Dec 2020. Cabinet increasingly weighed advice from multiple sources and sometimes acted against OMT advice, loosening the earlier tight OMT–Cabinet coupling.
• Formal vs shadow advice: The Red Team offered ‘constructive opposition’ (precautionary principle), broadening perspectives (behavioural sciences, primary care, economics, data). OMT members voiced concern about mixed messaging and compliance. Red Team’s transparency (open letters, media) contrasted with OMT confidentiality; it was invited to informal parliamentary hearings but not formalised by VWS. The two advisory logics—OMT’s evidence-threshold cautiousness vs Red Team’s proactive precaution—shaped policy contention and public discourse.
• Masks case study: OMT initially found insufficient evidence for non-medical masks in public spaces (May 2020), prioritising distancing and warning of ‘illusory security’; masks mandated only in public transport (June). Red Team (from July) advocated broader mandates and public education, citing WHO/ECDC guidance, aerosol evidence, and public opinion (72% support for mandates). Policymakers sought clearer communication; draft mandatory mask regulation emerged 28 Oct; nationwide indoor public mask mandate from Dec 2020. The protracted debate illustrated value-laden uncertainty management and competing interpretations of evidence.
• Role ambiguity under Pielke’s framework: OMT shifted from Science Arbiter toward Issue Advocate amid contestation; Red Team combined Science Arbiter elements with explicit Issue Advocacy rooted in precaution, seeking a more deliberative advisory ecosystem. The polder model’s promise of consensus gave way to pluralised polarisation under crisis pressure. Selected data points: 248 policy documents identified in search (Jan–Nov 2020); 25 GGD regions; key dates: 24 Jan (first OMT), 16 Mar (Rutte speech), 23 Mar (intelligent lockdown operationalised), 1 Jul (relaxation), 31 Aug (117 position papers), 19 Oct (Roadmap), 28 Oct (draft mandatory mask regulation), Dec 2020 (mask mandate in public spaces).

The findings address the core question of how Dutch political culture and institutionalised science–policy interfaces shaped COVID-19 responses. Early reliance on corporatist structures (OMT, RIVM, confidential BAO process) enabled rapid, coherent action under uncertainty, but limited deliberation and sidelined broader social, educational, and economic considerations. As knowledge diversified and societal impacts accumulated, the corporatist consensus fractured, and deliberative pressures intensified. The emergence of the Red Team broadened advisory inputs and spotlighted divergent values (precaution vs proof thresholds), altering the politics of expertise and public communication. Interpreted via Pielke’s framework, advisory roles became ambiguous, with OMT pulled toward issue advocacy and Red Team oscillating between advocating options and advocating positions. These dynamics reveal the limits of the Dutch polder model under crisis: behind-the-scenes consensus-making proved insufficient when uncertainty, values conflict, and public scrutiny surged. The significance lies in showing that successful crisis governance requires reflexive, plural, and transparent science advice infrastructures that can accommodate disagreement, manage uncertainty openly, and integrate social impacts alongside biomedical metrics.

The Dutch COVID-19 response was shaped by corporatist advisory structures revamped by neoliberal principles and complemented in principle by deliberative traditions. In practice, during the pandemic the playbook prioritised a centralised, expert-driven, evidence-based process (OMT–BAO–Minister), initially effective but later strained as knowledge diversified and value conflicts surfaced. The second wave exposed fragilities: decentralisation in health governance complicated coordination; corporatist consensus faltered; and deliberation shifted into public polarisation. Applying Halffman & Hoppe’s governance typology and Pielke’s advisory roles shows that core institutions drifted from Science Arbiter ideals toward issue advocacy, while new actors (Red Team) sought to expand choices under precautionary values. Contrary to expectations that the Dutch polder model would ensure effective, consensual crisis management, the system delivered a contested terrain of advocacy rather than deliberation facilitated by Honest Brokers. The authors argue against a strict separation and recentralisation of science advice and policy-making; instead, they call for greater reflexivity, explicit value recognition, inclusive participation, and broader expertise integration to structure scientific advice in future crises.

• Methodological scope: The study is a literature review of secondary sources (government documents, OMT records, media), without primary fieldwork or interviews, which may limit depth on internal deliberations.
• Temporal scope: Analysis focuses on January–December 2020 (with limited reference to January 2021), so later developments are not systematically covered.
• Context specificity: Findings are embedded in Dutch institutional arrangements (polder model, RIVM/OMT/BAO structures), which may limit generalisability to other governance systems.
• Data constraints: OMT deliberations are confidential until ministerial decisions, potentially constraining insight into alternative options considered and internal dissent.