# Butterfly Effect — Raw Nightly Stress Contact Pack Date: 2026-03-27 Updated: 2026-03-28 ## Purpose This pack turns the institutional lane into an execution sequence. It is not a generic outreach list. It is the first-wave contact pack for the current project bottleneck: - participant-night longitudinal sleep - repeated stress - raw or epoch cardiovascular signal - defensible linkage into the existing validator and first experiment ## Send order ### Primary wave 1. Brigham and Women's Hospital 2. Northwestern Center for Circadian & Sleep Medicine 3. Scripps Digital Trials Center 4. Stanford Center for Sleep and Circadian Sciences 5. Hospital Clínic Barcelona ### Reserve 6. Duke Population Research Institute ## Attachment rule For the first message, attach only: - institutional one-pager After a positive reply, send in this order: 1. raw nightly pre-screen benchmark 2. candidate pre-screen template 3. data requirements pack 4. variable shortlist 5. pilot protocol 6. intake + governance checklist 7. raw nightly stress shortlist 8. raw physio templates only if the counterpart asks for exact file shape Do not request a full bundle immediately after a positive reply. Request the factual pre-screen fields first. Those facts now need to be sufficient for the dual-frontier gate: - outcome density - raw night fraction - mean raw coverage - raw signal granularity - linkage mode Operational reading: - `IFH-like` is still only `fit_with_limits` - `HRV-like` is still `reject_for_current_scope` - `direct fit` now means both dense burden and raw support that beats the current `IFH` raw anchor ## 1) Brigham and Women's Hospital ### Route - Preferred: `sleepmatters@partners.org` - Backup: Division of Sleep and Circadian Disorders, General Administration and Research, phone `(617) 732-4013` - Official sources: - - ### Subject Raw nightly stress collaboration around participant-night sleep and physiology ### Message Hello, I am reaching out because Butterfly Effect is now at a very specific scientific bottleneck: improving cross-cohort nightly transport for stress. The current stack is already strong within cohort and already has explicit validation, governance, and pilot intake gates. What we need now is one physiology-grounded participant-night cohort with repeated stress and defensible night-level linkage. Brigham is a strong fit because of its combined sleep, circadian, and research depth. If your group holds a longitudinal cohort with participant-night sleep rows, repeated stress or closely related burden, and either raw or epoch cardiovascular signal, I believe there may be a concrete collaboration path. I am attaching a one-page summary. If useful, I can follow with the exact data contract and a narrow first-pilot framing built around one cohort and one stress endpoint. Best regards, [Name] ### Exact ask - one cohort only - participant-night sleep rows - repeated stress or closely related burden - raw or epoch HR / HRV / IBI if available - small physiology-rich subset is a plus - ask the counterpart to complete the raw-nightly pre-screen fields before any transfer, including: - aligned burden rate estimate - raw night fraction estimate - mean raw coverage estimate - raw signal granularity - linkage mode ## 2) Northwestern Center for Circadian & Sleep Medicine ### Route - Preferred: `nick.cekosh@northwestern.edu` - Secondary: `sleeplab@northwestern.edu` - Official source: ### Subject Potential collaboration on participant-night sleep, repeated stress, and wearable physiology ### Message Hello, I am contacting you because Butterfly Effect has reached a narrow methodological need rather than a broad partnership need. The project already supports governed longitudinal sleep interpretation within cohort. The current research gap is whether participant-night sleep and cardiovascular physiology can improve cross-cohort nightly transport for stress. Northwestern looks like a strong fit because the Center explicitly combines sleep, circadian, and translational work. If there is a cohort with participant-night linkage, repeated stress or burden, and wearable or physiological sleep-side signal, I would value a short discussion around one narrowly scoped feasibility review. I am attaching a one-page summary. If this is relevant, I can follow with the exact validator thresholds and the minimal data contract for a first pilot. Best regards, [Name] ### Exact ask - one sleep or circadian cohort - participant-night structure - repeated stress or burden field - wearable or physiological nightly signal - timestamps or local-date linkage that can clear intake - ask first for the benchmark fields, not for the whole bundle, including mean raw coverage estimate ## 3) Scripps Digital Trials Center ### Route - Preferred: `dtc@scripps.edu` - Official sources: - - ### Subject Feasibility review for a raw nightly stress cohort using remote wearable data ### Message Hello, I am reaching out because Butterfly Effect is now looking for one remote longitudinal cohort that can directly answer a concrete question: whether nightly sleep plus cardiovascular signal can improve cross-cohort stress transport. Scripps looks like a strong fit because the Digital Trials Center is already built around remote cohorts, digital endpoints, and wearable-centered studies. If there is a cohort with nightly sleep, HR or HRV-related signal, and repeated stress or burden, I believe a focused feasibility review would be worthwhile. I am attaching a one-page summary. If useful, I can follow with the data contract and the first-pass validator we would use before any modeling begins. Best regards, [Name] ### Exact ask - one export only - nightly sleep plus HR or HRV-related signal - repeated stress or burden - participant-night or defensible timestamp linkage - no need for a broad platform conversation initially - ask first for the benchmark fields, not for a broad data package, and make mean raw coverage estimate explicit ## 4) Stanford Center for Sleep and Circadian Sciences ### Route - Preferred: official CSCS contact form - URL: - Official source: ### Subject Participant-night sleep and physiology cohort fit for a targeted transport study ### Message Hello, I am reaching out because Butterfly Effect now needs one kind of dataset very specifically: participant-night longitudinal sleep linked to repeated stress and cardiovascular signal that can be harmonized into a first raw-nightly transport experiment. Stanford CSCS is a strong fit because it sits at the intersection of sleep, circadian science, and translational methodology. If your center has a cohort with nightly wearable or physiology-linked sleep plus repeated burden outcomes, I would value a short conversation around whether it fits a narrowly defined feasibility gate. I am attaching a one-page summary. If relevant, I can follow with the exact field-level shortlist and the intake validator criteria. Best regards, [Name] ### Exact ask - one CSCS-linked cohort - participant-night sleep rows or timestamps that recover them - repeated stress or burden - HR / HRV / IBI or equivalent cardiovascular sidecar - ask first for the benchmark fields, raw granularity description, and mean raw coverage estimate ## 5) Hospital Clínic Barcelona — Unit of Sleep ### Route - Preferred: Unit of Sleep contact page / unit phone `93 227 54 14` - URL: - Research source: ### Subject Research collaboration on participant-night sleep, repeated stress, and physiology-rich nightly interpretation ### Message Hello, I am writing because Butterfly Effect is now at a precise research bottleneck: improving cross-cohort nightly transport for stress using participant-night sleep and cardiovascular physiology. Hospital Clínic Barcelona looks like a strong fit because the Unit of Sleep combines multidisciplinary sleep research, biomarkers, and new diagnostic tools. If there is a cohort with participant-night sleep rows, repeated stress or mood burden, and nightly physiology or a physiology-rich subset, I believe there may be a clear first-pilot path. I am attaching a one-page summary. If useful, I can follow with the exact first-pilot data contract and validator thresholds. Best regards, [Name] ### Exact ask - one sleep-unit cohort - participant-night sleep data - repeated stress, mood, or symptom burden - cardiovascular or biomarker-linked nightly signal - optional PSG subset - ask first for the benchmark fields, mean raw coverage estimate, and whether a physiology-rich subset exists ## 6) Reserve — Duke Population Research Institute ### Route - Preferred: `contactdupri@duke.edu` - Official source: ### Why reserve - good stress + wearable bridge - less clearly participant-night sleep-first than the first five - still valuable if the first wave does not open a direct-fit cohort ## Decision rule If a target replies positively, do not widen scope. Move immediately to: 1. one candidate cohort 2. one completed pre-screen 3. one stress endpoint family 4. one quick linkage review 5. one explicit go / hold / reject decision