Self Research Institute

@selfresearch.org

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Nonprofit building open, self-sovereign tools for personal health data. Personal informatics · whole health · open science. Your data, owned by you. → selfresearch.org

Infographic titled 'IDE-Grade Tooling for Semantic Webs: Change one entity — the reasoner tells you what broke' by Self Research Institute. The graphic displays an ontology editor interface where editing the molecule 'ATP' automatically triggers a reasoner to flag the dependent process 'GlycolysisStep' as an unsatisfiable class. A bottom banner reads 'Refactor with confidence' alongside a 'Try The Beta' button.

Infographic titled 'Identifiers · Labels are for humans, IRIs are forever' by Self Research Institute. The headline reads: 'Labels drift. The IRI underneath never moves.' On the left, changing human labels ('Neuron', 'nerve cell', and 'neurone') all point to a single dark card on the right containing one stable IRI: 'obo:CL_0000540'. A bottom navy banner states: 'Stable IDs are the quiet foundation of interoperable science.'

Infographic titled 'Stand on the shoulders of the ontologies that came before' by Self Research Institute. It illustrates how a custom ontology model sits on top of existing OBO Foundry standards: HPO (Phenotypes), GO (Gene function), Uberon (Anatomy), and CL (Cell types). A callout box reads 'Align to what exists, extend only where you must — and keep your model interoperable by design' next to an 'Explore The Beta' button.

Infographic titled "The fix for hallucination isn’t a better prompt. It’s structure." comparing Standard RAG vs. a Semantic Layer.

Left side (Standard RAG): Shows an LLM searching a messy, unstructured pile of text documents, resulting in "Hallucinations & lost context."

Right side (Semantic Layer): Shows an LLM reading a clean, structured node-link knowledge graph, resulting in "Grounded & reliable output."

A banner at the bottom announces: "Coming soon: our VS Code suite brings native semantic design right into your IDE — no jumping to separate modeling software." Developed by Self Research Institute.

A promotional graphic by the Self Research Institute for OntoCode titled "Macro-Micro Sync." The headline reads, "From symptom to cell, in one connected graph." The subtext explains, "You can't map a physiological cascade with flat spreadsheets. OntoCode links macro symptoms to micro cellular data through dynamic, cross-domain knowledge graphs." The center features a dark-mode network graph mapping a physiological cascade across three physical scales: Macro (organ, ~10 cm), Meso (tissue, ~1 mm), and Micro (molecule, ~1 nm). The nodes are color-coded by Phenotype, Anatomy, and Molecular domains. At the micro level, a molecular "TNNT2 variant" links to "Troponin T," which links upward to meso-level "Sarcomere" and "Cardiac muscle." These connect to the macro-level "Heart," which branches out to the phenotypic symptoms of "Chest pain" and "Fatigue.”

A promotional graphic by the Self Research Institute for OntoCode. The top tag reads, "ONTOCODE • ONE SOURCE, EVERY FORMAT." The main bold headline states, "Curate in OWL. Export to JSON-LD." The subtext explains, "Academia leans on strict OWL; web builders need JSON-LD. Curate once, then export to the serialization your pipeline expects — no manual conversion." The central graphic is a dark-mode user interface showing a "File > Export As..." menu. On the left, a source file named "SDA_Merged.ttl" is shown with the note, "One canonical model. Edit it once." An arrow points to a list of seven export formats on the right: .owl (RDF/XML) tagged for "LAB", .jsonld (JSON-LD) tagged for "WEB" and highlighted, .ttl (Turtle), .owlxml (OWL/XML), .omn (Manchester), .ofn (Functional), and .obo (OBO Flatfile). The bottom status bar reads "one source of truth | 7 export formats | no manual conversion." A teal call-to-action button at the bottom says, "ACCESS THE BETA → Export in the format that fits your pipeline — link in bio.”

An infographic by the Self Research Institute titled "N=1 Baselines • Why JSON-LD is Non-Negotiable." The main headline reads, "Three APIs. One heartbeat. Flat JSON sees three metrics." On the left, three dark boxes show different JSON outputs for a heart rate of 62: a Wearable API using "hr", a Hospital portal using "HeartRate", and a Smart ring using "pulse_bpm". Arrows point from these three boxes through a tag labeled "@context" and into a single box on the right titled "One Ontological Concept." This box displays the concept ":HeartRate" and explains, "JSON-LD maps every vendor's key to the same concept — so your baseline stays one graph, not three silos." At the bottom are two additional feature boxes. The first is "Time-series alignment: Link 1Hz wearable streams and once-a-year labs to one temporal ontology." The second is "Bridges OWL & the web: Ontologists keep strict OWL; engineers get the JSON their APIs expect.”

An infographic by the Self Research Institute for the OntoCode Beta titled "Pick your seat before the weekend." The subtitle reads: "Web seats are capped to keep the browser version fast and stable. Desktop IDE seats are open — no cap." Below are two side-by-side option cards. The left card, "Browser version," features badges for "Limited" and "Capped Pool," explaining: "A fixed number of web seats, so we can watch server load and keep it snappy." The right card, "Desktop IDE," features badges for "Open" and "No Limit • Install Today," explaining: "Runs on your own machine, so seats stay wide open. Reserve and download anytime." A dark banner at the bottom reads "Reserve your version before the weekend" alongside a "Reserve Now" button.

An infographic by the Self Research Institute for OntoCode's Sci2Code and Zotero integration. The main headline reads, "Search your library. Cite as you curate." The subtext explains, "Stop hand-matching nodes to the papers that validate them. Sci2Code searches your Zotero library and inserts verifiable, DOI-backed citations straight into your RDF." The visual is a mockup of a dark-mode code editor with a white "Insert Citation" modal overlaid. In the modal, a search for "heart" yields 23 matches. The top result highlights the journal article "Classification, ontologies, and precision medicine" by Haendel, Chute & Robinson (2018) from the New England Journal of Medicine, displaying its DOI link. A second result for a webpage notes, "No DOI — will prompt to add.”

An infographic by the Self Research Institute titled "It's not the volume. It's the timing." It explains how the Self Data Atlas uses temporal ontologies to align different health data clocks. Below the text is a dark UI dashboard showing three separate data streams aligned on a single grid: a continuous blue wave for "Heart Rate – 1 Hz," a yellow dotted line graph for "Mood Score – 1x / day," and a single red dot for "Lipid Panel – 1x / year." The bottom text reads: "Same grid. Three granularities. One queryable timeline.”

A promotional graphic by the Self Research Institute for OntoCode, titled "Built into VS Code." The main headline reads, "Code breaks loudly. Ontologies break in silence." The subtext explains, "When code fails, the build stops. When an ontology breaks, it just sits there. OntoCode brings syntax checks, automated tests & CI/CD to bio-curation." The graphic features a dark-mode code editor interface showing an update to a file named "hpo-edit.obo". Inside the editor, a term with the ID "HP:0001626" and name "Cardiovascular abnormality" is being edited: a red highlighted line removes "is_a: HP:0004322" and a green highlighted line adds "is_a: HP:0001627".

A graphic by the Self Research Institute titled "A late meal doesn't stay in one domain," demonstrating systems biology in action. It shows a vertical flow chart with three distinct domains. First, a Nutritional Event labeled "late_meal" at 23:40 with ~720 kcal. An arrow labeled "linked to" points down to Sleep Architecture, labeled "sleep_state" showing "~22% less deep sleep." Another arrow labeled "associated with" points down to Biological Output, labeled "hrv" showing "~14 ms lower HRV." A caption at the bottom reads: "A cross-domain ontology links the chain — nutrition -> sleep -> recovery — so you see the reaction, not isolated metrics.”

An infographic by the Self Research Institute titled "The 7 dimensions of whole health." Subtext reads: "Health isn't just clinical. The Atlas organizes personal data across seven dimensions — so their interactions can be examined together." A central navy blue circle labeled "Self Data Atlas" is connected by dotted lines to seven surrounding nodes with corresponding icons: Physical Health, Mental Health, Identity, Personal Economics, Environment, Social Connections, and Accomplishments.

A split-screen cartoon illustration in a flat vector style showing the hidden reality of healthcare AI. On the left, a group of smiling doctors in white coats applauds a pristine, glowing digital dashboard labeled "STATE-OF-THE-ART HEALTHCARE AI (FLASHY LLM)". On the right, behind the dashboard, a stressed bio-curator in a messy room struggles to hold up the glowing screen using a chaotic, tangled mess of wooden beams, duct tape, wires, and scattered papers. Some papers and books are labeled "CONTRADICTORY DATA" and "OLD ONTOLOGIES". The text above the stressed worker reads, "BIO-CURATORS PHYSICALLY STRUCTURING 50 YEARS OF MESSY BIOLOGICAL ONTOLOGIES". At the bottom of the image, the text reads, "BETTER TOOLS FOR BIO-CURATORS = BETTER MODELS FOR EVERYONE."

Teaser graphic from the Self Research Institute showing the upcoming integration between the Sci2Code citation manager and the OntoCode OWL Editor for bio-curation.

Teaser graphic for the native integration of Sci2Code's Zotero citation tool with the OntoCode OWL Editor, creating a modern workflow for bio-curators.

Sci2Code VS Code interface showing an automated Zotero citation embedded within the source code of an ontology file to prevent citation debt.

An infographic titled 'The Gap Between Literature and Code: Translating Unstructured Exposome Literature into Computable, Trusted Semantic Code.' The top half contrasts the 'Unstructured Knowledge Explosion'—depicted as researchers overwhelmed by a mountain of trapped PDF data—with a 'Fragmented Translation Pipeline,' where a bioinformatician manually hand-codes complex relationships, resulting in an untrusted model that loses its data lineage and scientific authority. The bottom half illustrates 'The Solution: Bulletproof Provenance.' It shows a glowing computational knowledge graph securely linked by an unbreakable chain to a verified scientific reference PDF, representing evidence-based model authority and verifiable data lineage. A bottom banner asks, 'How much of your computational health model is backed by bulletproof data lineage?

An infographic titled 'The Whole Health Clinic of 2030.' The top section contrasts 'Today: Static Snapshots'—showing a frustrated patient burdened by disconnected EHR records—with 'Near Future: Synchronized Twin,' which illustrates a Personal Twin (biometrics) and a City Twin (environmental data) merging via a Meta Mesh Ontology. The bottom section details a 'Proactive Clinic Workflow' for hypertension. Instead of prescribing a beta-blocker, a physician uses a console to correlate the patient's blood pressure spikes with localized heat islands and acoustic friction on their commute. The final panels show the new prescription as 'Model Alignment,' using digital simulations to optimize commutes and sleep environments to stabilize the autonomic nervous system, representing the ultimate realization of Systems Biology.

Infographic titled 'Sovereign Urban Data & The Community Common.' It contrasts 'The Current Challenge: Proprietary Data Silos,' showing health and urban data trapped in disconnected, locked servers, with 'The Solution: Decentralized Data Commons,' featuring a Community DAO managing a Web3 data mesh. Bottom panels illustrate the pillars of this solution: 'Localized Sensor Hosting' by citizens, 'Granular Consent Management' via cryptographic keys for health data, and 'Community-Owned Digital Twins' used for street-level urban planning like proposing green corridors."

An infographic titled 'SOVEREIGN URBAN-PERSONAL DATA SYNC' contrasting the problem of proprietary data silos with a decentralized solution. The left side shows a confused figure relying on guesswork and trial-and-error due to disconnected personal health data (CGM, EHR) and proprietary urban sensors. The right side illustrates a synchronized system with four key components: 1) Individual Biometric Sovereignty (user-controlled wearables), 2) Community Urban Data Hosting (neighborhood-managed sensors), 3) a central Decentralized Urban Data Commons managed via a DAO, and 4) a Personalized Health PI Console where a user takes informed action based on real-time air quality and noise simulations. The footer emphasizes using DeSci protocols to manage data as a shared Community Common for optimized biological alignment

An infographic titled 'ENVIRONMENTAL LITERACY AT SCALE: Individual health and urban data are inseparable.' The layout is divided into three main sections. The left section, 'INDIVIDUAL & CITY COUPLING,' shows a physical human silhouette beside a glowing digital twin, with a large green arrow pointing from 3D city blocks to the text 'Real-Time Environmental Literacy.'

The central section, 'FOUR KEY MAPPINGS FOR URBAN WELL-BEING,' illustrates data streams feeding into a central 'URBAN DIGITAL TWIN (UDT)' dashboard. These inputs include 'HEAT ISLANDS' (orange temperature mapping), 'NOISE CORRIDORS' (purple acoustic friction waves), 'AIR FLOW & QUALITY' (blue wind and smog icons), and 'INDIVIDUAL WELL-BEING COUPLING' (a smartwatch linking to physiological responses).

The right section, 'PROACTIVE PUBLIC HEALTH PREDICTION,' contrasts two paths. A green upward arrow leads to 'POSITIVE OUTCOME: INTERVENTION & PREVENTION,' showing an active person with optimized breathing and stabilized cortisol. A red downward arrow leads to 'NEGATIVE OUTCOME: PUBLIC HEALTH DECLINE,' showing a stressed figure, illustrating how we can predict health decline before clinical symptoms show up.

The footer summarizes: 'A sophisticated Digital Twin includes your Stress Ecology—air quality, light, and noise. By mapping cumulative environmental stressors, we can proactively predict public health outcomes before clinical symptoms manifest,' followed by APA citations for Nieuwenhuijsen (2021), Ramachandra & Goli (2024), and Lahr (2007).

A 1:1 ratio square matte infographic titled '**THE MODEL MISMATCH CONNECTION**', with the subtitle '**Resolving Environmental Friction for Biological Alignment 🌍**' set on a light grid background. The image is vertically split into two main panels.

> The left panel is titled '**UNRESOLVED MISMATCH: ENVIRONMENTAL FRICTION (The Problem)**'. It depicts a tense, stressed human silhouette facing chaotic environmental chaos. Within the body, red 'X' and 'ERROR' marks are present on fragmented data points and broken network lines, labeled '**MISMATCHED MODEL**'. Red radiating tension lines push the body. The environmental stressors feature gray icons with jagged red outlines: '**NOISE**' (Gray jagged waves), '**SMOG AIR QUALITY**' (Gray smog cloud with pollutants), and '**LIGHT**' (Fragmented, chaotic light spectrum). Text below reads: '**STRESS ECOLOGY conflict with Internal Model. Body is Stressed.**'

> The right panel is titled '**RESOLVED ALIGNMENT: BIOLOGICAL HARMONY (The Solution)**'. It shows an empowered, calm, and aligned human silhouette. Within the body, the 'digital model' (network, biochemical symbols) is whole, harmonious, and glowing in teals, greens, and purples, labeled '**ALIGNED MODEL**'. Clear green radiating alignment lines surround the body. The environmental stressors feature the same gray icons, but now they have clean green outlines and integrated checkmarks, indicating they are mapped into the system. The noise wave is smooth and green. The smog cloud is clear with clean green airflow lines. The light spectrum is smooth and green. Harmonious green flow lines with checkmarks sweep past the figure, labeled '**CONTEXT TRACKING & INTEGRATION**'.
The bottom of the image features a unified summary text across the width: '**A sophisticated Digital Twin includes your Stress Ecology—air quality, light, and noise. Integrating this data resolves the 'model mismatch' for optimized Biological Alignment.

A side-by-side 1:1 infographic titled "Citizen Science vs. Personal Science: A Shift in Agency." The left panel, "Citizen Science," shows a large university building with arrows pointing up from a crowd of people. It is described as "Crowdsourcing for Institutions" where the "User is a Passive Gatherer" following institutional protocols. The right panel, "Personal Science," features an individual at the center of a circular data ecosystem. It is described as "Sovereign Research by Individuals" where the user is an "Active Researcher" who defines their own hypothesis, conducts N-of-1 studies, and maintains data sovereignty. A central arrow indicates that "The Power Dynamic Flips: From Data Extractee to Sovereign Researcher.”

An infographic titled "Implementing Biometric Data Sovereignty: The Data Labor Lifecycle." The diagram contrasts two data economies. On the left, the "Current Extractive Economy" depicts uncompensated biometric data flowing into a monolithic Big Tech pipeline, highlighting asymmetrical value capture. On the right, the "Decentralized DeSci Model" illustrates an equitable data labor framework where users control a tokenized data wallet. This allows them to directly license de-identified data to research consortia in exchange for royalties and equity. The bottom concludes with the goal of achieving biometric data sovereignty for personal baseline optimization.

An informational vector infographic titled "THE CHRONOBIOLOGY DIMENSION: BIOLOGICAL TIMING MATTERS." It uses charts and diagrams to compare the body's response to an identical meal at 8:00 AM versus 8:00 PM. A central human figure illustrates internal biological clocks. Morning meal timing shows "Optimal Metabolic Timing" with a smooth glucose curve. Evening meal timing shows "Circadian Mismatch" and a large glucose spike, leading to "Potential Fat Storage." The figure includes avatars for a Female Scientist and Male Personal Scientist, concluding that timing is a key biological variable for food, stress, and medication response, distinguishing between what you do and when you do it.

A comparative health infographic in two parts. The top half illustrates the Limitations of 'Normal' Clinical Ranges showing a general population statistical average on a bell curve, pointing out that individuals can have 'normal' results but a terrible Quality of Life. The bottom half depicts the Goal of Self-Research: 'Optimal' Personal Baseline with images of graphs on devices, a man in a crown for 'Optimized Quality of Life', and text that states Compare Individuals to Themselves, NOT the Crowd, for Actual Optimized Living and Longitudinal data is key to precision medicine. with a chart plotting personalized data over time.

> A structured flat-vector comparison infographic, with a professional monochromatic blue and deep navy palette, titled "THE BABEL OF BIOMETRICS," with an overarching goal stated at the top: "BRIDGE THE GAP: FROM WEB2 BABEL TO WEB3 FLUENCY." The graphic visualizes the challenge and solution for personal health data interoperability.
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> **Top Half, "The Interoperability Problem,"** contrasts two data streams flowing into separate "Silos" (Web2). Stream A (top) is "Proprietary Data Inflow (Silo Focus)" (similar to the silo in image_1.png). It shows fragmented, clashing data streams (mismatched icons like gears, arrows, and generic graphs). Stream B (bottom) is "Unified Data Flow (Fluency Focus)" (similar to image_1.png). It has Dynamic, interconnected flows (consistent icons for heart, brain, DNA). The original characters from your previous visuals are present: the 'Pensive Man' (image_0.png) looks worried at the clashing stream, and the 'Lab Coat Woman' (image_3.png) smiles as she manages the dynamic, fluent stream. A label notes: "Proprietary data cannot be fluently combined by an algorithm".
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> **Bottom Half, "The DeSci Ontology Solution,"** shows the signature large brain-tree motif (image_0.png) with deep roots. It details an architecture for verified, sovereign health data: from clinical EHR and biometric DID sources (image_1.png), data flows into a central 'DID Aggregator' (matching image_1.png's DID structure). This process is protected, noting: "Pseudonimized subsets accessed via ZKP (Zero-Knowledge Proof) Verification Portal" (referencing the door in image_1.png). The aggregator integrates clinical notes (ICD-10 clinical notes) and thriving nodes (matching the thriving icons in image_7.png) into a harmonized system. The woman researcher is shown pointing with a smile at a "Fluent Data DID Score" and "Verified Health ReportDID".
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> A structured flat-vector comparison infographic, with a dominant monochromatic blue palette, titled across the top: "REDEFINING HEALTH ONTOLOGY: BEYOND DISEASE CODES TO WHOLE HEALTH THRIVING." The image contrasts two health models.
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> **The Left Panel, "The Traditional Map: Pathology and Deficits (e.g., ICD-10),"** details a linear, hospital-centric workflow within a rigid framework labeled "Traditional Ontology." It includes sequential boxes for "Disease: Chronic Illness," "Symptoms: Inflammation," "Treatment: Pharmaceutical Intervention," and a flow through specific billing codes like "Diagnosis Code: ICD-10 F32.0," concluding with "Outpatient Visit" and "Emergency Admission." The clinical researcher character from your previous visual (image_3.png) is seen looking at this rigid map. A concluding label reads: "Maps Pathologies, not Health. Measures Lack of Illness."
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> **The Right Panel, "The Whole Health Territory: Interconnected Thriving (The Real Experience),"** features the signature organic brain-tree and its dendritic roots (seen in image_0.png through image_3.png). Woven directly into the branches is a dynamic, multi-directional network with large, distinct circular nodes representing a "New Holistic Ontology." These nodes include factors like "Sleep Quality," "Sense of Purpose," "Social Connection," "Biology: Metabiome," "Physical Vitality," and "Emotional Resilience." Dynamic blue flow lines demonstrate the interdependence and systemics of whole health thriving. A concluding label reads: "Maps the Interconnected Human Experience. Measures Flourishing."
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> A scientific infographic titled "Decentralized Clinical Trials (DCTs): The Clinic in the Living Room."
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> The graphic is split into two sections separated by an arrow labeled "Shifting the Power Dynamic."
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> On the left is the "Old Paradigm: Centralized Research Center," depicting a large hospital building with "Limited Access." A dotted line leads to a doctor and patient, labeled "Sporadic, In-Clinic Data." Below it reads: "High Subject Burden, Geographic Barriers, Sterile Lab Environment."
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> On the right is the "New Paradigm: Decentralized & Patient-Centric." It shows diverse living environments—an apartment, a suburban house, a farmhouse, and an RV—all continuously transmitting data to a central "Secure Research Cloud & Analytics." Accompanying icons for smartwatches, smartphones, and connected nodes highlight four key benefits: "Real-World Evidence," "Inclusion & Equity," "Long-Term Continuity," and "Digital Health." Below it reads: "Participant as 'Partner', Remote Sensing, Digital Tools."
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> A dark banner at the bottom summarizes: "We are moving from a world where you are a 'subject' in a study to a world where you are a 'partner' in the protocol," followed by the cited scientific sources (Dulko et al., Weber & Nøhr, Inan et al.).
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> A clean, light-mode infographic by selfresearch.org titled "Chronotherapy: The 'When' is as Important as the 'What'."
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> The central graphic is a 24-hour clock face divided into four quadrants: Morning (Wake/Active), Midday (Peak Function), Evening (Wind-down), and Night (Rest/Repair). A teal wave labeled "Medication / Supplement Response Curve" flows through the clock.
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> In the upper half (Daytime), the curve peaks, marked by a green checkmark labeled "High Efficacy Window," alongside icons for cortisol, brain function, and muscle strength. In the lower half (Nighttime), the curve drops, marked by a yellow warning triangle labeled "Low Efficacy / Side Effects," next to a moon and melatonin icon.
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> Text below the clock reads: "Biological processes and drug metabolism follow a 24-hour cycle." A dark navy banner at the very bottom concludes: "Personalized medicine must evolve into temporal medicine. Know your clock, not just your chemistry."
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A dark blue, neon-styled scientific infographic titled 'QUALITY OF LIFE: A CENTRAL BIOLOGICAL PREDICTOR.' At the center is a glowing atom-like graphic containing icons of DNA, a brain, a heart, and a nerve cell. This center node is labeled 'INTERCONNECTED BIO-PSYCHO-SOCIAL MECHANISMS' and 'PATIENT-REPORTED QUALITY OF LIFE (QoL) - BIOLOGICAL DRIVER.' Four pathways branch out from this center: Pathway 1 (Top Left) shows a rising chart and clock, labeled 'MORTALITY & LONGEVITY: Increased Survival Rates across Chronic Conditions.' Pathway 2 (Top Right) shows a pill bottle and checklist, labeled 'TREATMENT ADHERENCE: Sustained Protocol Compliance & Engagement.' Pathway 3 (Bottom Left) shows a pain slider and brain, labeled 'SYMPTOM SEVERITY: Modulates Pain Perception & Illness Burden.' Pathway 4 (Bottom Right) shows a sprouting plant and shield, labeled 'RESILIENCE & RECOVERY: Predicts Faster Adaptation to Acute Events.' A banner at the bottom reads: 'CONCLUSION: INTEGRATING QoL AS A HARD SCIENCE METRIC DRIVES SUPERIOR CLINICAL & HEALTH OUTCOMES.

> A system architecture diagram titled "Shifting Architecture: From App Silos to Personal OS Layer."
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> **Top Layer (The Problem):** Three isolated dark boxes labeled "App Silo A," "App Silo B," and "App Silo C" are shown with broken connection lines between them, representing fragmented identity and context.
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> **Middle Layer (The Solution):** A large, unified teal infrastructure block labeled "Personal OS Unification Layer." It contains five interconnected nodes: Data (Database), Identity (Fingerprint), Context (Location), Reflection (Mirror), and Meaning (Compass).
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> **Bottom Output:** A final arrow points to a box reading "Result: Integrated Ecosystem & Agency."
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> A scientific infographic by selfresearch.org titled "From Passive Tracking to Personal Science: The Path to Insight."
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> The visual maps a journey from left to right. On the left, under "Passive Tracking: Collecting Metrics (Endless Loop)," a person checks their smartwatch next to an overflowing dark blue bucket labeled "Data Silo," filled with jumbled numbers and icons.
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> A thick dark blue arrow moves toward the center, passing through gears holding a question mark. This section is labeled "The Shift: Asking Questions & Designing Experiments."
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> The arrow continues to the right, pointing upward to a tree growing from a brain, labeled "Outcome: Actionable Insight & Meaningful Growth." Below this, "Personal Science: N-of-1 Study (Structured Documentation & Interpretation)" is illustrated by a person at a desk actively analyzing data with a magnifying glass, clipboard, calendar, and scientific beaker.
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> A dark blue banner at the bottom reads: "At SRI: We build tools to transform your data stream into a structured personal experiment."
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A square infographic titled "Quality of Life Is a Hard Outcome, Not a Soft One."
The left side, labeled "Traditional View," shows a cloud and a clipboard to represent QoL as just a "Subjective Feeling" or "Satisfaction Survey."
The right side, labeled "Scientific Evidence," shows a brain and heart under a magnifying glass representing Health-Related QoL (HRQoL) Scores. Red arrows point from this central node to three specific clinical risks: Cardiovascular Disease, Dementia, and All-Cause Mortality.
The bottom banner reads: "QoL is Core Infrastructure, Not an Afterthought. It’s a Primary Data Type."

Technical diagram titled "Figure 9. Cognitive Bandwidth Tax: The High Cost of Scarcity."

The image displays a clean, light-mode "System Resource Monitor" interface on a tablet device.

- **Top Section:** A large red usage bar shows "Financial Scarcity Processing" consuming **85%** of Total System Capacity (RAM), triggered as a high-load background task.
- **Pop-Up Alert:** An error message reads: *"ERROR: PROCESSES SUSPENDED. Insufficient Bandwidth for 'Health Decision Making' and 'Creative Problem Solving'."*
- **Bottom Section:** Icons for "Health Decision Making" and "Long-Term Planning" are grayed out and labeled "Suspended - No Resources."

The metaphor illustrates how financial stress monopoli

Technical diagram titled "Figure 7. The Neurosymbolic Approach: Front-End Interface vs. Back-End Reasoning."

The image is a blueprint schematic split into two sections:

- **Top (A. Front-End Interface):** A User asks a natural language question ("Show me sleep patterns..."). A "Generative AI Agent" processes the intent using an LLM to ensure fluency.
- **Bottom (B. Back-End Reasoning):** A robot agent accesses a complex 3D "Knowledge Graph" (a web of nodes like Sleep Data, Energy Score, and Temporal Links). It retrieves a "Retrieved Sub-Graph" of validated facts.
- **Flow:** The system pulls structured facts from the bottom layer to construct a grounded, hallucination-free answer in the top layer.

Infographic titled "The Control-Demand Matrix: Why 'Working Harder' Isn't the Answer to Burnout."

A 2x2 grid plots "Environmental Demand" (Y-axis) against "Personal Control/Agency" (X-axis).

- **Top Left (Red - Burnout Zone):** High Demand, Low Control. A stressed worker is overwhelmed by gears and robotic arms. Text reads: "Overwhelmed, powerless, chronic stress."
- **Top Right (Green - Flow/Peak Performance):** High Demand, High Control. A person confidently surfs a digital wave. Text reads: "Engaged, challenged, autonomous mastery."
- **Bottom Left (Gray - Stagnation):** Low Demand, Low Control. A bored worker sleeps at a desk with cobwebs.
- **Bottom Right (Blue - Comfort):** Low Demand, High Control. A person relaxes in a hammock reading a book.

A large arrow points from the Burnout Zone to the Flow Zone, labeled: "Path to Sustainable Health: Increase Agency, Not Just Effort."

Footer: SRI Self Research Institute.

Infographic titled "The Hidden Tax on Your Physiology: Allostatic Load & The Exposome."

A split-screen comparison on a light background shows the difference between "Self-Tracking" and "Exposome Tracking."

On the left (Self-Tracking): A human figure is shown with a red "low battery" icon labeled "Biological Drain." A smartwatch measures a symptom: "Heart Rate Variability." A pile of bricks at their feet represents "Allostatic Load: Cumulative Wear & Tear."

On the right (Exposome Tracking): The figure is protected by a shield labeled "Whole Health." Lines connect to external stressors being managed: "Algorithmic Uncertainty" (Gig work), "Environmental Noise" (Pollution), and "Cognitive Overhead" (Broken systems). A chain-link icon represents "Web3 Infrastructure: Decentralized Dependency."

Bottom footer: "What is one 'background app' (environmental stressor) you are trying to close right now?" Sources: McEwen (1998), Geronimus (1992), Wild (2005).

nfographic titled "Personal Science vs. Passive Tracking."

A digital illustration shows a person acting as a detective in front of a large corkboard. On the desk, an overflowing box labeled "Passive Data Pile" contains random icons for coffee, heart rate, and sleep.

On the board, the person is actively connecting specific notes with red string to solve a problem. The notes read: "Hypothesis: Caffeine & Sleep Quality," "Experiment: No coffee after 2 PM," and "Evidence."

A large magnifying glass illuminates the final result on the board: "Insight Found: Afternoon caffeine is the trigger!"

Bottom text reads: "SRI tools help people design and interpret their own experiments, not just collect metrics."

The footer asks: "If you turned one frustration into a personal experiment this month, what would you study?" Sources listed: Wolf & de Groot (2020), Heyen (2019), Karkar et al. (2016).

Infographic titled "Autonomy Produces Sustained Well-Being."

A split-screen illustration compares "Authorship" versus "Compliance."

On the left, labeled **Authorship**, a person writes in a large open book while looking toward a sunny, open path. This side represents "Autonomous Motivation."

On the right, labeled **Compliance**, a person walks a narrow plank with a chain around their ankle, surrounded by pointing fingers and arrows representing external pressure. This side represents "Controlled Motivation."

In the center, a tree icon connects four key benefits of Autonomy: "Longer-lasting change," "Higher motivation," "Better emotional health," and "Better treatment outcomes."

The footer asks: "Where do you want to be more of an author this year?" Branding: SRI Self Research Institute.

Infographic by Self Research Institute titled 'Personal Science Needs Shared Knowledge, Not Just Apps.' The visual compares 'Private Self-Help' (left)—depicted as a user isolated in a data bubble—against a 'Shared Knowledge Commons' (right)—depicted as a community contributing to a central Wiki. An arrow labeled 'From Private to Collective' bridges the gap. Text explains that while self-research is intimately individual, sharing methods and insights creates a valuable public commons without exposing raw data. Sources include Kloppenborg et al. (2024), Senabre Hidalgo et al. (2022), and Greshake Tzovaras et al. (2019).”

Infographic by Self Research Institute titled 'The Self-Sovereign Patient.' The visual contrasts the old healthcare system—depicted as a passive patient trapped in data silos—against the new 'Healthcare 4.0' model, where an active patient holds a digital key within a decentralized network. The new model is defined by three architectural pillars: Respecting Consent, Supporting Portability, and Encoding Rights. Text highlights that patients shift from being invisible decision-makers to authors of their health narrative. Sources include Allen (2016) and Chaffer et al. (2025).”

nfographic by Self Research Institute titled 'Behavior Emerges From Context, Not Motivation.' The visual compares Motivation (depicted as a battery) which initiates action but is high-effort and fleeting, against Context (depicted as a conveyor belt in a room) which sustains behavior through automatic cues. A sphere labeled 'Behavior' moves from the motivation push onto the context conveyor belt. Text explains that while motivation starts behavior, environmental cues sustain it. Sources include Gardner & Rebar (2019) and Wood & Rünger (2016).