The Orchestration Gap
Executive SummaryThe Michael J. Fox Foundation for Parkinson’s Research is at a genuine inflection point — transitioning from the world’s largest private funder of Parkinson’s research into the central orchestrator of a global precision medicine ecosystem. The science has moved faster than the operating model. A federal mandate has been legislated but not executed. A $261 million research network spanning 187 institutions in 24 countries depends on open-science rules that have not yet been written. And a paradigm shift in how Parkinson’s disease is understood — from a single condition to a cluster of biologically distinct subtypes — has made every existing system for recruiting patients, sharing data, and aligning clinical partners structurally inadequate.
The challenges that follow share a single root cause. The ecosystem that MJFF must orchestrate — federal agencies, academic institutions, pharmaceutical partners, and competing advocacy groups — is structurally fragmented. No single organization holds authority across it. The orchestration gap is not a failure of MJFF’s internal execution; it is the defining feature of the translational neuroscience environment in 2026. That specific structural condition is what Mind Meeting Group is designed to help resolve.
A Mandate Without a Mechanism
The National Plan to End Parkinson’s Act, passed with bipartisan support in 2024, created the National Parkinson’s Project and placed MJFF at the center of its implementation. It also imposed the first statutory congressional reporting deadline in MJFF’s history — and that deadline, January 2, 2026, was missed. The failure was not MJFF’s. Despite open nominations closing in March 2025 and relentless advocacy from the foundation and its partners, the Department of Health and Human Services did not seat the Advisory Council until April 10, 2026 — over a year late. Legislative approval produced no coordinated delivery mechanism, and a compressed execution window has now replaced a missed one.
That delay is a symptom of the underlying structural condition. MJFF is the connective tissue across a system it cannot command — partnering with NIH and NINDS on research priorities, lobbying the EPA on environmental risk factors like paraquat, coordinating disease advocacy organizations, and now accountable to a federal reporting timeline it did not control. The mandate covers not just Parkinson’s disease but atypical parkinsonisms including PSP, CBD, and MSA. No single organization, including MJFF, holds authority across that system. And the system still has no standing mechanism for making binding decisions across it at pace.
At the same moment, MJFF’s core scientific mandate has undergone a hard pivot. The May 2026 rebranding of the Parkinson’s Progression Markers Initiative to the Parkinson’s Precision Medicine Initiative is not a marketing update. It reflects a fundamental realization that Parkinson’s disease is heterogeneous — multiple subtypes, driven by distinct underlying biologies, requiring biologically defined patient cohorts rather than generic recruitment. The alpha-synuclein seed amplification assay, validated on PPMI samples, detects the disease in 93.3% of sporadic Parkinson’s patients and 95.9% of GBA mutation carriers — but in only 67.5% of LRRK2 mutation carriers overall, and in just 34.7% of LRRK2 carriers who do not exhibit olfactory deficits. That divergence means the assay that unlocked precision medicine simultaneously proved that no single biomarker can qualify patients across the full disease spectrum. Clinical trial design has become exponentially more complex at the exact moment MJFF is scaling its research network to 32 new international teams.
The Infrastructure That Doesn’t Yet Exist
The April 2026 expansion of the Collaborative Research Network, announced jointly with Aligning Science Across Parkinson’s, commits $261 million to fund 32 new teams across 187 institutions in 24 countries. The stated ambition is a standardized, open-access global toolkit of research resources. The operational reality is that nearly 400 highly competitive investigators, governed by different university legal frameworks, operating under different data privacy regimes, and incentivized by publication priority rather than interoperability, must now agree on shared rules for how data, tools, intellectual property, and biological materials move across institutions. Those rules are a condition of receiving the funding — but enforcing consistent compliance across competing university legal teams, GDPR privacy regimes, and researchers incentivized by publication priority rather than interoperability is a different problem entirely. Without a standing mechanism for resolving these tensions as they arise, the network risks producing parallel silos rather than cumulative science.
The same fragmentation risk runs through MJFF’s precision medicine data infrastructure. The LITE program — governed by an MJFF steering committee, implemented by the University of Dundee, feeding into the Global Parkinson’s Genetics Program and the Accelerating Medicine Partnership — requires seamless handoffs between clinical sites, corporate partners like Metabolon, academic implementers, and open-access federal platforms. Each handoff is a point of ontological misalignment, privacy friction, or IP ambiguity. If those handoffs aren’t forced into alignment by a deliberate process, the multi-million dollar data architecture degrades into isolated lakes that cannot communicate.
Finally, the late-May 2026 failure of the Phase 2b LUMA trial for the LRRK2 inhibitor BIIB122 — co-developed by Biogen and Denali Therapeutics — surfaces the clinical pipeline risk that runs beneath all of this. LUMA enrolled 648 patients and ran for up to 144 weeks. The drug achieved over 90% peripheral LRRK2 kinase inhibition and a 30% reduction in a downstream biomarker of LRRK2 activity. It failed to slow disease progression on a single endpoint. The program has now been discontinued for idiopathic Parkinson’s disease; only the Phase 2a BEACON study, restricted to confirmed LRRK2 mutation carriers, continues. As Chief Mission Officer Todd Sherer noted publicly, each failure advances the field’s understanding of Parkinson’s biology — and that is precisely the point. When commercial partners exhaust their tolerance for biological complexity, the burden of de-risking the targets returns to MJFF. No standing mechanism currently exists to reconvene the right stakeholders, reset shared assumptions, and build a committed path forward.
Why Conventional Approaches Won’t Close the Gap
Why Process Is the Variable That Matters
Each of these challenges shares not just a structural root cause, but a structural solution. The orchestration gap is not solved by more funding, more analysis, or more stakeholder meetings run one at a time. It is solved by a process that brings the right actors into the same room, with the right framing, and produces a committed decision — not a report, not a set of recommendations, not another advisory output that requires a second round of internal approval before anything moves.
When the stakes are high, most organizations do what makes sense: they commission expert working groups, convene task forces, and build rigorous analytical cases. The research on this is unambiguous: how you decide matters more than what you analyze.
Process beats analysis 6-to-1.
A landmark McKinsey study of 1,048 major corporate decisions found that decision-making process quality predicted strategic outcomes six times more powerfully than the depth or quantity of the analysis. For MJFF, where the National Parkinson’s Project advisory council, the CRN compliance architecture, and the post-LUMA pipeline reset are all running simultaneously, the quality of the process used to force trade-offs and assign accountability is itself a scientific infrastructure decision.1
Unstructured decisions are a lottery.
In Noise: A Flaw in Human Judgment, behavioral scientists Daniel Kahneman, Olivier Sibony, and Cass Sunstein report that when expert executives are presented with identical scenarios, their judgments vary by a median of 55% — meaning the recommendations emerging from scientific advisory boards, steering committees, and sequential working group meetings may depend more on who presented first than on the data in the room.2
AI commoditizes analysis — it doesn’t replace judgment.
Peer-reviewed research from Michigan, UT Austin, and INSEAD found that AI can now generate and evaluate strategic plans at a level comparable to experienced professionals. Every organization working in the Parkinson’s ecosystem has access to the same PPMI datasets, the same CRN publications, the same regulatory precedents. The analytical playing field is level. What determines whether the next pipeline reset produces a committed path forward — or another cycle of parallel working groups — is whether the right actors can deliberate and decide together.3
Complexity amplifies every bias.
In multi-stakeholder ecosystems spanning federal agencies, academic consortiums, and competing advocacy groups, cognitive shortcuts become more dangerous: anchoring on familiar coordination mechanisms, groupthink within institutional silos, and overconfidence in bilateral agreements intensify precisely when leaders feel most urgency to act. Research on decision-making in complex systems consistently shows that structured convening — designed specifically to surface and manage these dynamics — is the only reliable buffer.4
The implication for an organization navigating MJFF’s current operating environment is direct: more data will not produce inter-agency alignment. More task forces will not build open-science compliance across 400 competitive investigators. The same dynamic plays out in complex biomedical consortiums: both the Alzheimer’s Disease Neuroimaging Initiative and the Accelerating Medicines Partnership demonstrated that structured convening — not additional analysis — was the mechanism that produced data-sharing agreements and enrollment commitments across competing academic sites. A deliberately designed process — one that brings the right actors into the same room, with the right framing, at the right moment — is what converts strategic clarity into committed action.
Six Challenges. One Structural Root Cause.
Each of the following challenges was identified through MMG’s independent research as a file where the primary execution barrier is structural — not scientific, not financial, and not a function of MJFF’s internal capability. In each case, the actors who must move hold conflicting incentives, and no standing forum exists to produce a binding commitment across them.
The National Parkinson’s Project was legislated with a January 2026 congressional reporting deadline. HHS missed it by seating the Advisory Council over a year late — not until April 10, 2026. MJFF was instrumental in driving that resolution, with CEO Deborah W. Brooks and Patient Council member Israel Robledo appointed to the body. Now, with the council finally in place, a compressed execution window has replaced a missed one. Multiple federal agencies, disease advocacy organizations, and funding priorities must align rapidly, and no single entity — including MJFF — holds authority across the full delivery chain.
Who needs to be in the room- MJFF executive leadership
- MJFF policy and government affairs leadership
- MJFF patient council / lived-experience perspective
- HHS and NIH implementation leads
- NINDS representatives
- EPA liaisons
- Federal advisory council members
- CurePSP / atypical parkinsonism advocates
- Inter-agency ownership and decision rights
- Reporting milestones and deliverable sequencing
- Allocation of responsibilities across Parkinson’s and atypical parkinsonism priorities
- Council governance and escalation pathways
- Congressional reporting framework
- Stakeholder alignment and communications cadence
MJFF and ASAP are funding a $261 million expansion of the Collaborative Research Network to 32 new teams across 187 institutions in 24 countries. The network depends on academic labs, legal teams, and data managers operating under different incentive systems. Without shared standards, the “global toolkit” fractures into separate silos instead of becoming interoperable infrastructure.
Who needs to be in the room- MJFF mission leadership
- MJFF program leadership
- ASAP leadership
- CRN principal investigators
- University technology transfer offices
- University legal counsel
- Data repository managers
- Research operations leads
- Data-sharing rules and compliance framework
- IP ownership and publication governance
- Standardized toolkit access and usage terms
- Biological material transfer protocols
- Repository architecture and interoperability standards
- Operating cadence for cross-team issue resolution
PPMI’s rebrand to the Parkinson’s Precision Medicine Initiative signals a permanent shift to multiomic data integration, which raises the operational burden of aligning handoffs across clinical sites, lab vendors, academic implementers, and shared data platforms. If the ontology, privacy, and workflow decisions are not aligned, the data architecture produces fragmentation rather than usable insight.
Who needs to be in the room- MJFF scientific leadership
- MJFF program leadership
- Clinical site coordinators
- Academic implementers (University of Dundee)
- Data platform stewards (AMP PDRD)
- Bioinformatics leads
- Vendor scientific operations teams (Metabolon)
- Shared repository managers
- Sample collection and chain-of-custody workflow
- Multiomic data ontology and standards
- Privacy and consent alignment across jurisdictions
- Vendor-to-academic handoff protocols
- Cloud hosting and repository integration
- Governance for precision-medicine data quality and access
The May 2026 failure of the Phase 2b LUMA trial for BIIB122 — co-developed by Biogen and Denali Therapeutics — illustrates the structural problem MJFF must now navigate. LUMA achieved robust target engagement: over 90% LRRK2 kinase inhibition, a measurable reduction in downstream biomarkers. It still failed to slow clinical progression in idiopathic Parkinson’s patients. The program has been discontinued for that population; only the Phase 2a BEACON study, restricted to confirmed LRRK2 mutation carriers, continues. Every commercial failure of this kind returns the de-risking burden to MJFF — requiring the foundation to re-align scientific advisors, industry partners, trial architects, and funding stakeholders around a revised path forward, without a standing forum to do so.
Who needs to be in the room- MJFF mission leadership
- Pharma and biotech development leaders (Biogen, Denali)
- Trial design experts
- Regulatory strategy leads
- Scientific advisors
- Clinical operations leads
- Funding and partnership stakeholders
- Pipeline prioritization and go/no-go criteria
- Trial cohort definition and recruitment assumptions
- Partner risk-sharing and timeline expectations
- Regulatory and endpoint strategy
- Fallback scenarios for failed or delayed studies
- Communications architecture for scientific credibility and stakeholder confidence
MJFF launched the Access Advocate for Clinical Research Participation grant in 2026 to support local clinical sites in the US and Canada. Precision medicine trials require tiny, biologically defined cohorts, and local sites often lack the staffing and workflow capacity to find and enroll those patients. If the operational model does not change, funding will not translate into better recruitment.
Who needs to be in the room- Clinical site directors
- Research coordinators
- Patient engagement teams
- MJFF community outreach leadership
- Patient council perspective
- Local referral-network partners
- Trial operations support
- Site-level recruitment workflow design
- Patient identification and referral pathways
- Staffing and role design for access advocates
- Community outreach and education model
- Enrollment metrics and site accountability
- Escalation path for site bottlenecks
MJFF’s governance is increasingly influenced by finance-oriented board members, with recent appointments from CapitalSpring and Khosla Ventures. Venture and private-equity mindsets can raise pressure for faster milestones and clearer ROI, even though scientific progress in Parkinson’s is iterative and nonlinear. That mismatch can create tension around prioritization, funding discipline, and how success is reported.
Who needs to be in the room- MJFF board of directors
- MJFF executive leadership
- MJFF finance and strategy leadership
- MJFF scientific leadership
- Scientific advisory board members
- Portfolio and grants management leaders
- Board reporting model and milestone language
- Translation of scientific progress into investment terms
- Portfolio risk thresholds and funding continuation criteria
- Trade-offs between speed, rigor, and scope
- Decision framework for program prioritization
- Communication norms between board and scientific staff
What Structured Convening Delivers
A Mind Meeting is an intensive 3-day solving sprint designed specifically for challenges where progress depends on the simultaneous commitment of actors who sit outside any single organization’s authority. It is not an advisory board, a conference, or a strategic planning retreat in the conventional sense. It is built around a specific challenge — one where the actors who must move hold conflicting incentives, where no standing forum exists to produce a binding outcome, and where standard execution tools have already reached their limits. For MJFF, the challenges identified above share a common structural feature: the actors who must move hold conflicting incentives, and no standing forum currently exists to produce a binding commitment across them.
The preparation phase identifies which actors must be in the room, how the challenge must be framed to make productive deliberation possible, and what decisions need to emerge by the end of the session. MMG facilitates the session itself — managing the dynamics that cause multi-stakeholder deliberations to collapse into consensus theater rather than committed decisions — and structures the follow-through that translates outcomes into accountable next steps. Who gets invited, and in what role, is determined by a single criterion: who controls the part of the path that everyone else is waiting on.
What a client organization leaves with is specific: a committed decision, a clear allocation of responsibility across actors, and a defined condition for reconvening if the environment changes. No open questions that reset the conversation. No advisory outputs that require a second round of internal approval before anything moves. For MJFF, where execution delays translate directly into missed congressional deadlines, fractured open-science networks, and clinical pipelines that lose partner confidence, that specificity is not a feature of the process. It is the purpose of it.
Depending on the specific challenge and where key actors are located, Mind Meeting workshops are designed to be held in-person, virtually, or in a hybrid format. For challenges where the quality of deliberation depends on the dynamics of a shared physical room — inter-agency alignment sessions, coalition governance negotiations, or working sessions with significant relationship friction — we recommend an in-person format. For challenges where geographic distribution of stakeholders is the binding constraint, a structured virtual session can achieve the same decision-grade outcomes. The format is a design decision, not a default.
How MMG Compares
| Mind Meeting | Scientific Advisory Board / Steering Committee | |
|---|---|---|
| Problem Definition | Researched before the room convenes — stakeholder incentives, execution barriers, and inter-agency dependencies mapped in advance | Framed by the scientific leadership of the convening institution; external actors participate as expert consultants, not as constraint owners with committed accountability |
| Who’s in the Room | Internal leadership + the external actors who control the constraints — federal agencies, academic partners, advocacy organizations — in working mode together | Domain experts and key opinion leaders; rarely includes the operational, legal, or institutional actors who control real-world implementation |
| Output | Execution-ready plan with named owners across functions and organizations | Expert recommendations and prioritized research directions; adoption depends on subsequent internal decision-making by the convening organization |
| Execution Commitment | Built in — constraint owners co-create the plan they must implement | Advisory — recommendations carry scientific authority but no implementation accountability across the organizations that must act |
| Trade-off Discipline | Forced — real choices made between competing priorities, sequencing, and resource allocation | Optimized for scientific rigor; organizational and resource trade-offs typically deferred to leadership after the session |
| Speed to Decision | 3 days to an aligned, pressure-tested execution plan with committed owners | Months to convene the right panel; outputs require additional translation into operational commitments before any external coordination begins |
Book a Discovery Call
More analysis will not seat a functioning inter-agency operating model for the National Parkinson’s Project. More task forces will not produce open-science compliance across 400 competitive investigators who have never been in the same room. What converts a mandate — federal, scientific, or organizational — into committed, coordinated action is a deliberately designed process that brings the right actors together, forces the real trade-offs, and produces decisions with named owners.
That is what Mind Meeting Group builds. To learn more, book a discovery call with Mark McCarvill at the link below.
Mark McCarvill is the Founder and Principal Facilitator of Mind Meeting Group, a Vancouver-based consulting firm specializing in complex, multi-stakeholder strategy. He has facilitated over 100 decision-grade workshops across life sciences, federal government, not-for-profit, and commercial sectors, aligning more than 3,000 leaders and stakeholders. MMG’s methodology is grounded in complexity science, organizational behaviour research, and fifteen years of practice in high-stakes strategic alignment.
- Dan Lovallo and Olivier Sibony, “The Case for Behavioral Strategy,” McKinsey Quarterly, March 2010. Based on a study of 1,048 major business decisions tracking both decision-process quality and analytical depth against long-term outcomes. Top-quartile process organizations outperformed bottom-quartile ones by 6.9 percentage points. Available at: mckinsey.com
- Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein, Noise: A Flaw in Human Judgment (Little, Brown Spark, 2021). The 44–55% variability figures are drawn from studies of insurance underwriters and claims adjusters evaluating identical scenarios, used as proxies for expert judgment variance in multi-stakeholder environments.
- Felipe Csaszar, Harsh Ketkar, and Hyunjin Kim, “Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors,” Strategy Science 9, no. 4 (2024); Felipe Csaszar’s University of Michigan Ross research on AI’s strategic-decision potential; and Harsh Ketkar’s McCombs study “Need a Business Plan? Ask AI.” Together, these sources show that current AI can generate and evaluate strategies at a level comparable to experienced entrepreneurs, investors, and analysts, but that does not eliminate the need for structured human judgment.
- Ralph D. Stacey, Complexity and Creativity in Organizations (Berrett-Koehler, 1996); and Dave J. Snowden and Mary E. Boone, “A Leader’s Framework for Decision Making,” Harvard Business Review, November 2007. In multi-actor systems with low agreement and low certainty — the defining condition of pre-competitive biomedical consortiums — directive planning and additional analysis reliably underperform structured convening and collaborative sense-making.