AT CU.com please find my attempt to celebrate my greatest personal privilege: to visit women empowered Bangladesh 15 times from 2007 during last 13 years of life of Fazle Abed. From 2012 we discussed AbedMOOC and 2015 onwards at his 80th birthday AbedAI. Back in 2001, Abed 65th birthday hosted by Steve Jobs in Silicon Valley changed both of these human genii's life work. Even today I dont spend time exploring America AI with any engineers or practitioners of health or education, food or safety or finance, who dont know what they (we humans all) owe to Steve J.
2015 DCAI--AI & Childhood Cancer .Before AI lifted off in late 2000s 3 underacknowlefgen Happenings: 1 steve jobs hosted Fazle Abed's 65 th birthday party silicon valley 2001; .jensen hunag and steve jobs went from coding binary to cosinf pixels; Fazle abed clarified that paulo freire culture celebrated poorest asian womens ebd poverty networking miracle -- largest NGO, providing education, health services, microcredit and livelihood creation programmes for a significant part of the population of Bangladesh. What lies behind this huge success, Caroline Hartnell asked Fazle Abed, founder of BRAC and still very much at the helm. Questioning everything they do and being prepared to tackle whatever is needed to make their programmes successful are certainly part of the secret behind the success of this extraordinarily entrepreneurial organization. The secret of success? Asked what lies behind BRAC’s phenomenal success, the first thing Fazle Abed mentions is determination: ‘We were determined to bring about changes in the lives of poor people.’ The second thing is thinking in national terms: ‘We always had a national goal; we never thought in terms of working in a small area. We thought, all right, if we work with the poorest people in this community, who’s going to work with the poorest people in that other community? So we felt that whatever we do, we should try and replicate it throughout the nation if we can.’ The third thing he mentions is inspiration. ‘We always thought nationally, worked locally, and looked for inspiration globally. We were inspired by Paolo Freire’s work on the pedagogy of the oppressed, which he came out with in 1972. It was wonderful to have a thinker who was thinking about poor people and how they can become actors in history and not just passive recipients of other people’s aid. He made us realize that poor people are human beings and can do things for themselves, and it’s our duty to empower them so they can analyse their own situation, see how exploitation works in society, and see what they need to do to escape these exploitative processes.’ Finally, he says, ‘one needs to have not only ambition but also the ability to do the work. The organization must be competent to take on national tasks. That confidence we got from the campaign for oral rehydration, to cut down diarrhoeal mortality, in the 1980s. That involved going to every household in rural Bangladesh, 13 million households, and it took ten years to do it. Then we became a little more ambitious. We thought that if we can go to every household, then we can cover the whole country with everything we do.
..
NB any errors below are mine alone chris.macrae@yahoo.co.uk but mathematically we are in a time when order of magnitude ignorance can sink any nation however big. Pretrain to question everything as earth's data is reality's judge
Its time to stop blaming 2/3 of humans who are Asian for their consciously open minds and love of education. Do Atlantic people's old populations still trust and celebrate capability of generating healthy innovative brains? What's clear to anyove visting Washington DC or Brussels is a dismal mismatch exists between the gamechanging future opportunities listed below and how freedom of next generation learning has got muddled by how old male-dominated generations waste money on adevrtising and bossing. Consider the clarity of Stanford's Drew Endy's Strange Competition 1 2:
Up to “60% of the physical inputs to the global economy”7 could be made via biotechnology by mid-century, generating ~$30 trillion annually in mostly-new economic activity. 8 Emerging product categories include consumer biologics (e.g., bioluminescent petunias,9 purple tomatoes,10 and hangover probiotics11 ), military hard power (e.g., brewing energetics12 ), mycological manufacturing (e.g., mushroom ‘leather’ 13 ), and biotechnology for technology (e.g., DNA for archival data storage14 ). Accessing future product categories will depend on unlocking biology as a general purpose technology15 (e.g., growing computers16 ), deploying pervasive and embedded biotechnologies within, on, and around us (e.g. smart blood,17 skin vaccines,18 and surveillance mucus19 ), and life-beyond lineage (e.g., biosecurity at birth,20 species de-extinction21 ).
.

notes on drew endy testimony on bio tech 2025 strange competition

Natural living systems operate and manufacture materials with atomic precision on a planetary scale, powered by ~130 terawatts of energy self-harvested via photosynthesis

Biotechnology enables people to change biology. Domestication and breeding of plants and animals for food, service, and companionship began millennia ago. Gene editing, from recombinant DNA to CRISPR, is used to make medicines and foods, and is itself half-a-century old. Synthetic biology is working to routinize composition of bioengineered systems of ever-greater complexity

 https://colossal.com/  20 https://dspace.mit.edu/handle/1721.1/34914  19 https://2020.igem.org/Team:Stanford  18 https://med.stanford.edu/news/all-news/2024/12/skin-bacteria-vaccine.html  17 https://www.darpa.mil/news/2024/rbc-factory  16 https://www.src.org/program/grc/semisynbio/semisynbio-consortium-roadmap/  15 https://www.scsp.ai/2023/04/scsps-platform-panel-releases-national-action-plan-for-u-s-leadership-in-biotechnology/  14 https://dnastoragealliance.org/  13 https://www.mycoworks.com/  12 https://serdp-estcp.mil/focusareas/3b64545d-6761-4084-a198-ad2103880194  11  https://zbiotics.com/  10 https://www.norfolkhealthyproduce.com/  9 https://light.bio/     8 https://web.archive.org/web/20250116082806/https:/www.whitehouse.gov/wp-content/uploads/2024/11/BUILDIN G-A-VIBRANT-DOMESTIC-BIOMANUFACTURING-ECOSYSTEM.pdf  7 https://www.mckinsey.com/industries/life-sciences/our-insights/the-bio-revolution-innovations-transforming-econo mies-societies-and-our-lives     6 https://www.nationalacademies.org/our-work/safeguarding-the-bioeconomy-finding-strategies-for-understanding-ev aluating-and-protecting-the-bioeconomy-while-sustaining-innovation-and-growth   5 https://doi.org/10.1038/s41586-020-2650-9  

  4 https://www.nature.com/articles/s41467-023-40199-9

AIH- May 2025.Billion Asian womens end poverty networking 2006-1976 is most exciting case of Entrepreneurial Revolution (survey Xmas 1976 Economist by dad Norman Macrae & Romano Prodi). In 2007, dad sampled 2000 copies of Dr Yunus Social Business Book: and I started 15 trips to Bangladesh to 2018- many with apprentice journalists. This is a log of what we found - deepened after dad's death in 2010 by 2 kind remembrance parties hoist by Japan Embassy in Dhaka with those in middle of digital support of what happened next. We witnessed a lot of conflicts - i can try and answer question chris.macrae@yahoo.co.uk or see AI20s updates at http://povertymuseums.blogspot.com. I live in DC region but see myself as a Diaspoira Scot. Much of dad's libraries we transfreered with Dr Yunus to Glasgow University and enditirs og journals of social business, new economics and innovators of Grameen's virtual free nursing school.
Bangladesh offers best intelligence we have seen for sdgs 5 through 1 up to 2008, Search eg 4 1 oldest edu 4.6 newest edu ; .620th century intelligence - ending poverty of half world without electricity -although Keynes 1936 (last chapter General Theiory: Money, Interest, Employment) asked Economists to take hippocratic oath as the profession that ended extreme poverty, most economists have done the opposite. What's not understandable is how educators failed to catalogue the lessons of the handful who bottom-up empowered villages to collaboratively end poverty. There are mainly 2 inteligences to understand- Borlaug on food science -arguable the forst Biointeligence rising ar1950 on; fazle abed on everything that raised life expectancy in tropical village (zero-electricity) asia from low 40s to 60s (about 7 below norm of living with electricity and telecomes). Between 1972 and late 1990s, Abed's lessons catalogued in this mooc had largely built the nation of Bangladesh and been replicated with help of Unicef's James Grant acroo most tropical asian areas. What's exciting is the valley's mr ad mrs steve jobs invted Fazle Abed to share inteligences 2001 at his 65th birthday party. The Jobs and frineds promised to integrate abed's inteligence into neighborhod university stanfrd which in any event wanted Jobs next great leap the iphone. The Valley told abed to start a university so that women graduates from poor and rich nations could blend inteligence as Abed's bottom of the pyramid vilage began their journey of leapfrog modles now that grid infrastructures were ni longer needed for sdiar and mobile. Abed could also help redesign the millennium goals which were being greenwashed into a shared worldwide system coding frame by 2016. There at Abed's 80th birtday party , the easy bit was checking this mooc was uptodate. The hard bit - what did Abed mean by his wish to headhunt a Taiwanese American to head the university's 3rd decade starting 2020?

Wednesday, September 2, 2026

Part 1 of those nominating Bloomberg as trusted AI "GOAT" - Greatest of all Time

 Searches for hypothesis Johns Hopkins University is the world leader in computational medicine need worldwide trust networks as well as understanding which radiologist was first 25 yers ago to join the nvidia idea of coding pixels instead of binary

Postcard from Korea

Artificial Intelligence is absolutely the core engine of Professor Hyuksool Kwon’s job and corporate mandate.

His company, Barreleye Inc., explicitly brands itself as an AI-driven medical diagnostic startup. The core problem Professor Kwon is solving centers on the fact that raw ultrasound waves lose a massive amount of microstructural data when compressed into traditional, blurred grayscale images. [1, 2]

Kwon's research utilizes deep learning architectures to capture raw acoustic backscatter waveforms. The AI models then reverse-engineer the math to dynamically map quantitative tissue properties (like stiffness, attenuation, and density). This transforms standard, subjective ultrasound images into objective, color-coded diagnostic maps to accurately score fatty liver disease severity (Int-HUS) and automate breast cancer lesion detection (Vis-BUS). [1, 2, 3]


The Corresponding Professors at Johns Hopkins University

Because Johns Hopkins University is the world leader in computational medicine, there isn't just one match; rather, two highly prominent professors run parallel research labs that match Professor Kwon's exact dual profile of AI + Quantitative Ultrasound + Tissue Engineering:

1. Dr. Muyinatu "Bisi" Bell

  • The Match: She is the John C. Malone Associate Professor in the Department of Electrical and Computer Engineering at the Johns Hopkins Whiting School of Engineering.
  • The Parallel Work: Dr. Bell directs the Photoacoustic and Ultrasonic Systems Engineering (PULSE) Lab. Her entire career is dedicated to using machine learning algorithms to decode acoustic wave propagation. Much like Barreleye’s technology, her lab designs AI models that process raw signal beamforming to reconstruct clear, automated tissue boundaries and guide real-time robotic surgeries. [1, 2]

2. Dr. Jeeun Kang

  • The Match: He is an Assistant Professor in the Department of Anesthesiology and Critical Care Medicine at the Johns Hopkins School of Medicine.
  • The Parallel Work: Dr. Kang serves as the co-director of the Medical UltraSound Imaging and Intervention Collaboration (MUSiiC) lab. His specific engineering framework matches Professor Kwon’s clinical orientation: leveraging deep learning to look at photoacoustic and biomedical ultrasound contrast dynamics. His algorithms extract functional and structural tissue properties in the spatiotemporal domain to give bedside clinicians immediate, quantitative metrics. [1]

 

I got gemini at a good moment - amazing intelligence links of Korean American Michell Kang - owner of Spirit DC ladies soccer. Her ai health start up investments include hopkins students" Protenus acts as an AI-powered "immune system" for patient data. It uses advanced machine learning to audit electronic health records (EHRs), actively protecting patient privacy by identifying insider threats, healthcare compliance violations, and employee data snooping. Koreans advancing layer 5 AI are currently m largest subnetwork on linkedin - please say if you want more detail.

how much is michelle kang worth invested in spirit football versus other business including AI+Health: is she self made; when did her parent immigrate from korea

Michele Kang is worth an estimated $1.1 billion, according to Forbes. Her wealth primarily stems from founding the healthcare technology firm Cognosante in 2008, which she sold to Accenture Federal Services in 2024 for an estimated sum of over $1 billion. [12]

Investment: Spirit Football vs. AI + Health

Michele Kang has successfully pivoted her capital from healthcare technology into building a global multi-club women's football ecosystem under her sports organization, Kynisca. [1]

Investment / Asset

Estimated Financial Value & Scope

Washington Spirit

Acquired controlling ownership in 2022 for $35 million. Under her leadership, Forbes now values the franchise at $130 million.

Other Football Investments

Majority owner of France's OL Lyonnes and England's London City Lionesses. She also owns a stake in Eagle Football Holdings.

Sports Philanthropy

Committed $55 million to U.S. Soccer, including a $30 million donation for youth/female programs and a $25 million hand-over of her Kynisca sports science innovation hub. She also gave $4 million to USA Women's Rugby.

AI + Health Investments

Founded Cognosante Ventures, a venture capital arm specializing in funding early-stage digital health and health-IT startups. While the exact total dollar figure invested across her VC portfolio remains private, she heavily utilized AI-driven health data solutions during her tenure building Cognosante.

Is Michele Kang Self-Made?

Yes, Michele Kang is completely self-made. Forbes ranks her among America's Richest Self-Made Women. She did not come from an established family fortune; she began her career working as a management consultant, rising to partner at Ernst & Young, and serving as an executive at Northrop Grumman before building her own billion-dollar business. Famously, when she moved to the U.S., she asked her parents to give her the money they had saved for her traditional wedding fund so that she could pay for her own college tuition instead. [123]

Parental Immigration from Korea

Michele Kang's parents never immigrated to the United States. Her parents remained in South Korea. Her father was a university professor in Seoul who had briefly studied in the U.S. on a government scholarship in 1950 before returning to South Korea. [1]

Kang grew up in South Korea and immigrated to the United States entirely on her own in 1981. She was a student at Sogang University in 1980 during the political unrest surrounding the Gwangju Uprising. The frequent campus shutdowns prompted her to move to the U.S. by herself, where she subsequently earned her bachelor's degree in economics from the University of Chicago and her master's from Yale. [1] Famously she persuaded her parents to spend her intended dowry on her own development in USA.

If you want to look closer into her operations, I can provide information on:

  • The commercial strategy behind her multi-club network, Kynisca
  • The specific health startups backed by Cognosante Ventures
  • The exact medical and structural goals of the Kang Women's Institute [13]

Try without personalization

LinkedIn·Shivani Berry

From Wedding Fund to $1B Company: Michele Kang's ...

Sep 26, 2025 — Michele Kang was born in Seoul, South Korea. As a child, her dreams never fit a single box. One day, she wanted to be an opera sin...

Forbes

Inside Michele Kang's Plan To Revolutionize Women's Soccer

Jun 2, 2025 — Kang took control of the Spirit in 2022 at a $35 million valuation, then considered an astronomical price for a women's team. In r...

ESPN

Spirit's Michele Kang invests $25M to develop women's soccer - ESPN

Apr 4, 2025 — LOS ANGELES -- Washington Spirit owner Michele Kang announced on Friday that she is handing over her female athlete innovation hub...

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The specific health startups backed by Cognosante Ventures

While Cognosante Ventures operates primarily as a private corporate venture capital fund—meaning many of its early-stage seed and angel-level investments remain confidential—the most notable, publicly documented health technology startup backed by the firm is Protenus. [1]

Through Cognosante Ventures, Michele Kang invests based on a thesis of digital transformation, health data integration, cybersecurity, and privacy. [1]

The primary company in its publicized health IT portfolio reflects these exact pillars:

  • Entity Name: Protenus
    • What it does: Founded by Johns Hopkins medical students, Protenus acts as an AI-powered "immune system" for patient data. It uses advanced machine learning to audit electronic health records (EHRs), actively protecting patient privacy by identifying insider threats, healthcare compliance violations, and employee data snooping.
    • Cognosante’s Involvement: Cognosante Ventures heavily backed Protenus early on, participating in its $4 million Series A funding round and subsequently re-investing alongside major healthcare players like Kaiser Permanente Ventures in an $11 million Series B round. [12]

Strategic Investment Focus

Outside of individual health IT startups, Kang has historically used her venture branch to mentor and accelerate companies targeting the public sector. Her fund focuses on backing HealthTech, IT, and cybersecurity solutions that bridge the gap between complex data and public health efficiency. [12]

(Note: In addition to tech startups, Kang has extended her venture and advisory backing to female-led sports ecosystem startups, most notably serving as an early investor in Just Women’s Sports, the premier media platform dedicated exclusively to women's sports). [1]

If you are interested in exploring further, I can provide details on:

  • The specific health IT solutions her main company, Cognosante, built for federal and defense agencies before being acquired by Accenture
  • The commercial strategy and medical research initiatives of her multi-club sports entity, Kynisca [123]

Milken Institute

Michele Kang - Milken Institute

May 1, 2023 — A health information technology visionary, Michele Kang founded Cognosante in 2008 to challenge the status quo in the U.S. healthc...

Chief Healthcare Executive

$11M for Health Data Privacy Start-Up Protenus

Aug 30, 2026 — F-Prime Capital Partners and Kaiser Permanente Ventures led the Series B funding round, with support from Arthur Ventures, Lionbir...

Healthcare IT News

Cybersecurity startup Protenus raises $4 million in Series A ...

Feb 19, 2016 — Protenus, a health data protection startup co-founded when the owners were medical students at Johns Hopkins University, has raise...

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The commercial strategy behind her multi-club network, Kynisca

The commercial strategy behind Michele Kang’s Kynisca Sports International is designed to treat women’s soccer as a high-growth, Silicon Valley-style asset class rather than a charity or diversity initiative. [1]

Unlike traditional multi-club models in men's sports that focus primarily on player flipping, Kynisca’s model is built on standardizing elite infrastructure, expanding the commercial ecosystem, and solving the sport's massive data gap. [1]

1. Centralized Shared Services & Scale

Operating clubs across different leagues—such as the Washington Spirit (USA), OL Lyonnais (France), and London City Lionesses (UK)—allows Kynisca to centralize its business and technical operations. [12]

  • Shared Technical Playbook: A uniform standard for coaching, scouting, and player recruitment is deployed across all clubs.
  • Commercial Leverage: B2B sponsor packages (e.g., jersey partners, training kit rights) can be pitched globally across multiple markets simultaneously, maximizing brand sponsorship revenue. [12]

2. Monetizing Data and Female Sports Science

Kang identifies the lack of female-specific health research as a commercial opportunity. Historically, women's sports have relied on training manuals and equipment designed for men, contributing to high ACL injury rates. [123]

  • Kynisca Innovation Hub: This dedicated platform generates proprietary data on female performance, nutrition, and injury prevention.
  • The U.S. Soccer Partnership: By integrating the Hub into U.S. Soccer's Soccer Forward Foundation via a $25 million asset hand-over, Kynisca utilizes national convening power to scale this data. The long-term commercial goal is to develop and monetize proprietary female sports tech, training IP, and data analytics startups. [12345]

3. Vertical Integration of the Women's Ecosystem

Kynisca’s strategy looks beyond team ownership to invest in the broader infrastructure surrounding female athletes: [1]

  • Custom Products: Funding the design of female-specific athletic wear and footwear to lower injury risks and tap into an underserved retail market. [12]
  • Media & Audience Cultivation: Investing in women's sports media companies (such as Just Women’s Sports) to drive cultural visibility, fan retention, and higher broadcasting valuations. [12]

4. Global Footprint to Lower Acquisition Costs

Kang aims to expand Kynisca’s multi-club footprint to every continent. By establishing academies and clubs in regions like Africa and Asia, Kynisca builds a global talent pipeline. This allows the network to discover, develop, and integrate elite talent internally, significantly lowering player acquisition costs while increasing international fan lifetime value. [12]

If you want to explore further, let me know if I should detail:

  • The sponsorship metrics driving the growth of the Washington Spirit's $130 million valuation
  • The specific academic collaborations (e.g., Duke, UNC) fueling her sports science research
  • How her recent acquisition of the Lyon men’s club integrates into this overall sports portfolio [12]

LinkedIn·John Aspinall

Women's sports isn't a charity case. | John Aspinall - LinkedIn

Dec 10, 2025 — It is a commercial strategy that: Expands participation Extends retention Lowers acquisition cost Increases lifetime value Builds ...

YouTube·WSJ Events

Kynisca CEO Michele Kang at WSJ Sports

Jul 17, 2026 — um so let's let's start you built something really unique in women's sports called Kisca. help us understand what it is. so it's t...

22:33

YouTube·David Rubenstein

The David Rubenstein Show: Washington Spirit Owner Michele ...

Oct 16, 2025 — so I know from owning a sports team that owning one team takes a lot of energy and time tell me about it yeah so you decided after...

1m

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The specific academic collaborations (e.g., Duke, UNC) fueling her sports science research

Michele Kang has partnered with major elite research institutions, specifically the University of North Carolina at Chapel Hill (UNC) and Duke University, to ground her sports science initiatives in rigorous academic study. [12]

These academic partnerships, originally formed through her Kynisca Innovation Hub, operate directly under the newly established Kang Women's Institute (KWI) via her landmark partnership with U.S. Soccer. [12]

The collaborations actively target critical data gaps in women's sports science through the following key initiatives:

1. The UNC Partnership: "From Lab to Pitch"

The collaboration with UNC Chapel Hill focuses primarily on female physiology and precision athletic training. [1]

  • The Study: Named "From Lab to Pitch: Turning Menstrual Cycle & Performance Data into Better Soccer Decisions". [1]
  • The Goal: It evaluates low-cost, non-invasive digital tracking tools to accurately map the phases of the menstrual cycle. The data is translated into practical guidance for coaches to adapt training loads, dictate recovery strategies, and optimize active game-day performance. [1]
  • Key Leadership: The study is co-led by Dr. Abbie Smith-Ryan, an acclaimed UNC Professor and KWI Advisor, alongside KWI's internal research directors. [1]

2. The Duke University Partnership: Connecting Health and Performance

The partnership with Duke University focuses heavily on the clinical and data-driven intersection of female health metrics and elite athletic execution. [1]

  • The Goal: Duke medical and sports science researchers work alongside the institute to study and prevent career-altering soft-tissue injuries—specifically focusing on the high rates of ACL (Anterior Cruciate Ligament) tears in women's soccer. [12]
  • The Method: The collaboration leverages health data pipelines to track bio-mechanical stressors, establishing new physical baselines tailored explicitly to the female body rather than relying on historical training data derived entirely from men. [12]

3. Broadened Data Collaborations

To translate the academic findings from Duke and UNC into real-world sports environments, the institute scales its clinical research across professional soccer pipelines: [1]

  • League Frameworks: The data models are trialed and refined in active collaboration with teams across both the National Women's Soccer League (NWSL) and the United Soccer League (USL). [12]
  • Retention Tracking: Alongside university research, the institute works with specialized biostatisticians on the "Hers to Play – Drop Out Study" to mathematically predict and prevent the sharp decline of teenage girls leaving sports during puberty. [1]

Would you like to examine the exact biophysical metrics (such as hormonal fluctuations or movement mechanics) that these Duke and UNC studies track, or look into how these findings are deployed across the Washington Spirit roster?

US Soccer

U.S. Soccer's Kang Women's Institute Announces ...

Apr 15, 2026 — New studies aim to close critical gaps in menstrual health research and understand why girls are leaving the game April 15, 2026 S...

Facebook·United States Youth Soccer (US Youth Soccer)

After an accomplished playing career, two-time USYS ...

Feb 16, 2026 — Kang committed $55 million to U.S. Soccer in 2025 and launched the Kang Women's Institute, a first-of-its- kind platform designed ...

Facebook·McKinsey & Company

Some people do their best work when they're on a team ...

Jul 2, 2026 — The Kang Women's Institute is already spearheading national studies, building frameworks with the NWSL and United Soccer League, a...

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The specific health IT solutions her main company, Cognosante, built for federal and defense agencies before being acquired by Accenture

Before its acquisition by Accenture Federal Services, Michele Kang’s Cognosante established itself as a primary federal contractor by building and managing highly specialized health IT systems, data migration tools, and remote healthcare solutions. [123]

Its core solutions were deployed across the Department of Veterans Affairs (VA), the Centers for Medicare & Medicaid Services (CMS), and defense agencies: [12]

1. Telehealth & Remote Patient Monitoring

Cognosante built specialized, patient-centric technology frameworks to support active-duty military and veterans. [12]

  • Remote Patient Monitoring-Home Telehealth (RPM-HT): Secured a spot on a major $1 billion VA telehealth initiative. Cognosante deployed secure cloud tools allowing clinicians to monitor, educate, and triage over 72,000 veterans managing acute and chronic conditions from home. [123]
  • Workflow Integration: These remote platforms were designed to integrate directly into the VA's existing electronic health record architecture, including both VistA and the VA Millennium platforms. [1]

2. VA Cloud Migration & Enterprise DevSecOps

The company served as a technical anchor for migrating massive legacy health data into modern cloud environments. [1]

  • VA Enterprise Cloud (VAEC) Migration: Cognosante managed the migration of over 350 complex health and administrative applications to the cloud. This included moving highly sensitive instances of the Veteran Health Administration's legacy electronic health record database. [1]
  • DevSecOps Implementations: They embedded continuous secure software development pipelines (DevSecOps) to modernize how the VA maintains and continuously updates its core health software systems. [12]

3. Care Coordination & Logistics Systems

Cognosante digitized the administrative and clinical supply pipelines that handle veteran care. [12]

  • Community Care Referrals and Authorization (CCRA): Awarded a five-year, $200 million program to develop web-based systems that streamline referrals when veterans need to see civilian doctors outside of the standard VA hospital system. [1]
  • Medical Supply Chain Management: Secured a $545 million task order to build and sustain the VA’s Enterprise Supply Chain Management software, modernizing how medical logistics and equipment are distributed across all VA clinics. [1]

4. Public Health Enrollment Infrastructures

Beyond defense and veterans' care, Cognosante built consumer-facing data portals for state and federal healthcare marketplaces. [12]

  • State & Federal Exchanges: They served as a prime contractor building cloud modernization and enrollment systems for public health platforms, such as the Pennsylvania Health Insurance Exchange (Pennie) and programs under CMS. [12]

If you would like, I can provide more details on:

  • The T4NG contract vehicle that Cognosante used to win these multi-million dollar VA awards
  • How Accenture Federal Services is restructuring its new federal health portfolio around Cognosante's technologies [124]

Accenture

Accenture Federal Services to Acquire Cognosante

Apr 15, 2024 — Accenture Federal Services to Acquire Cognosante April 15, 2024 Accenture Federal Services to Acquire Cognosante ARLINGTON, Va.; A...

FedSavvy Strategies

Accenture and Cognosante, is the whole greater than the sum ...

May 24, 2024 — Cognosante deploys, maintains and manages management tools and supports VA as they migrate over 350 applications to the VAEC, incl...

Federal News Network

Accenture Federal Services acquires major federal contractor

Apr 16, 2024 — A major contractor for the Veterans Affairs Department is getting acquired. Cognosante, a provider of digital transformation and c...

Show all

The exact medical and structural goals of the Kang Women's Institut

The Kang Women’s Institute (KWI) was established under U.S. Soccer’s Soccer Forward Foundation. Its core mission is to replace training models built entirely around male physiology with female-centered, evidence-based standards for health, performance, and game-wide infrastructure. [123]

The precise medical and structural goals of the institute are organized into distinct technical pillars:

Medical & Clinical Goals

The medical objectives address the extreme historical disparity in sports medicine, where only an estimated 6% of sports science research has exclusively focused on women. [1]

  • Anatomical & Injury Prevention Research: Quantifying the biological mechanics behind the female athlete "injury epidemic," specifically targeting the disproportionately high rates of Anterior Cruciate Ligament (ACL) tears in women’s soccer. [12]
  • Menstrual Health Integration: Mapping hormonal and menstrual cycles to understand their correlation with active performance. The clinical goal is to replace rigid schedules with data-driven workload management and tailored recovery windows based on a player's cycle. [12]
  • Maternity & Post-Pregnancy Re-entry: Establishing standardized clinical timelines and physical therapy milestones for elite athletes returning to competitive play safely following pregnancy. [12]
  • Holistic & Mental Well-being: Designing comprehensive physical and mental health frameworks optimized specifically for the unique psychological stressors faced by female competitors navigating youth pipelines up through the professional tiers. [12]

Structural & Operational Goals

The structural goals focus on embedding this new scientific evidence into the physical architecture, coaching pipelines, and governing bodies of soccer.

  • National Baseline Data Pool: Executing the first comprehensive national study to systematically gather, track, and analyze the physiological and operational needs of female players across all skill levels. [12]
  • Domestic Professional Frameworks: Co-developing unified operational best practices for player safety, elite training, and holistic development in structural partnership with the National Women's Soccer League (NWSL) and the United Soccer League (USL). [12]
  • International Governance Preparation: Setting and solidifying these strict data-backed safety and development baselines ahead of major global stages, specifically the 2027 and 2031 FIFA Women’s World Cups. [12]
  • Combating Youth Dropouts: Launching targeted demographic tracking initiatives—such as the "Hers to Play – Drop Out Study"—to identify the exact socioeconomic, physical, and psychological triggers causing young girls to abandon the sport during puberty, creating evidence-based toolkits to maximize retention. [12]
  • Coaching and Parent Education: Building and distributing accessible educational curricula to ensure youth coaches, local clubs, and parents have direct access to sports science data, teaching them how to train young girls safely without utilizing historical male-centric methods. [12]

If you'd like to look deeper into this, let me know if I should detail:

  • The exact tracking tools (digital/non-invasive) being tested in their active studies
  • The biostatistical metrics used to project the youth dropout curves
  • The profile of the female sports scientists appointed to executive roles inside the institute

US Soccer

U.S. Soccer Launches Kang Women's Institute to Transform ...

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The profile of the female sports scientists appointed to executive roles inside the institute

The executive leadership and clinical research pipeline at the Kang Women's Institute (KWI) are directed by globally recognized experts in female physiology, sports medicine, and elite performance analytics. [1]

The primary female sports scientists and clinical practitioners driving the institute's executive execution include:

  • Entity Name: Dr. Georgie Bruinvels
    • Role: Senior Director of Research at the Kang Women's Institute.
    • Profile: A world-renowned British sports scientist and researcher specializing in the female athlete. She has spent over a decade mapping the distinct physiological impacts of the menstrual cycle on athletic execution. Dr. Bruinvels previously co-developed FitrWoman, an industry-leading tracking app utilized by elite athletes. At KWI, she leads the structural development of the "From Lab to Pitch" initiatives. [1]
  • Entity Name: Dr. Amal Hassan
    • Role: Director / Lead of the Operational Best Practice Framework.
    • Profile: A highly accomplished Sport and Exercise Medicine Physician based in the UK. Dr. Hassan is widely recognized for her expertise in maternal health in sports, female pelvic floor health, and post-pregnancy rehabilitation frameworks for professional athletes. At the institute, she spearheads the development of evidence-based educational resources and training playbooks designed for immediate deployment across the NWSL, USL, and U.S. National Teams. [12]
  • Entity Name: Jessica Freemas, PhD
    • Role: Research Manager at the Kang Women's Institute.
    • Profile: An elite exercise physiologist whose background focuses extensively on environmental physiology and metabolic tracking. She manages the operational data pipelines for KWI's clinical field studies, ensuring that biological data collected from player tracking tags seamlessly translates into active tactical coaching decisions. [, 2]
  • Entity Name: Dr. Abbie Smith-Ryan
    • Role: External Academic Advisor & Lead Institutional Research Partner.
    • Profile: A prominent Professor of Exercise and Sport Science at the University of North Carolina at Chapel Hill. Her career has been dedicated to studying body composition, sports nutrition, and exercise performance specifically tailored to women. She co-leads the collaborative clinical trials connecting KWI data infrastructure with UNC's research facilities. [12]

Executive Strategy Advisors

While not managing day-to-day scientific trials, legendary U.S. Women's National Team Head Coach Emma Hayes acts as a core technical advisor to the institute. Hayes has historically championing the use of female sports science, famously structuring her previous championship-winning training regimes around players' hormonal cycles. [12]

If you would like, I can provide more details regarding:

  • The specific peer-reviewed journals where these scientists have previously published their menstrual cycle data
  • The core methodologies Dr. Hassan uses to framework post-pregnancy physical re-entry milestones

US Soccer

U.S. Soccer's Kang Women's Institute Announces ...

Apr 15, 2026 — ... Soccer's Kang Women's Institute (KWI), today announced its two foundational landmark research initiatives designed to transfor...

Fortune

Michele Kang launches Kang Institute with U.S. Soccer - Fortune

Dec 2, 2025 — Now, Fortune is the first to report, she's launching the Kang Women's Institute, an organization within U.S. Soccer's Soccer Forwa...

Sports Business Journal

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exact tracking tools (digital/non-invasive) being tested in their active studies

The Kang Women's Institute's active clinical studies utilize a multi-layered matrix of non-invasive digital tracking tools, including continuous dermal temperature monitors, optical heart rate variability sensors, and wearable aptamer biosensors to map hormonal shifts. Additionally, researchers employ high-frequency biomechanical GPS and inertial measurement units alongside mobile applications to track kinetic loads and qualitative wellness data in real time. For more details, visit U.S. Soccer. [123456]

This is for informational purposes only. For medical advice or diagnosis, consult a professional. AI responses may include mistakes. Learn more

National Institutes of Health (NIH) | (.gov)

A wearable aptamer nanobiosensor for non-invasive female hormone monitoring - PMC

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The biostatistical metrics used to project the youth dropout curves

In the "Hers to Play – Drop Out Study," led by biostatistician Dr. Carly Brantner, the Kang Women’s Institute utilizes a combination of demographic categorization, developmental tracking, and predictive risk modeling to project youth soccer attrition curves. [12]

Rather than treating player exit as a random occurrence, the study uses specific biostatistical metrics and predictive factors to analyze why girls ages 8–18 leave the sport: [1]

1. Key Predictors & Independent Variables

The study tracks multi-dimensional data points to uncover why girls drop out at significantly higher rates than boys: [12]

  • Developmental Chronological Age: Attrition data is strictly parsed by age to identify specific exit clusters, pinpointing major drops at Age 9 (transition to competitive play), Ages 11–14 (puberty-onset), and Ages 16–17 (late-adolescent exit). [1]
  • Biological and Physiological Changes: Tracking variables related to puberty, growth spurts, physical discomfort, and biological maturation timelines that alter an athlete's physical mechanics. [1]
  • Socioeconomic Demographics: Evaluating how geographic region, family income levels, race, and local resource allocation correlate with premature sports exit. [1]
  • Player Pathways: Segmenting data based on the competitive tier of the athlete, comparing recreational pipelines against elite, high-performance club systems. [1]
  • Social and Structural Stressors: Measuring qualitative and structural metrics, including coaching styles, peer relationships, body image pressures, and equal access to training facilities. [12]

2. Biostatistical Modeling Methods

To turn these predictors into actionable curves that youth clubs can use for retention, the institute applies traditional epidemiological and survival statistics:

  • Survival Analysis (Time-to-Event Modeling): Utilizing models (such as Kaplan-Meier estimators or Cox Proportional Hazards) where the "event" measured is the player completely dropping out of organized soccer, mapping how "survival in the sport" changes over time based on varying risk exposures. [12]
  • Multinomial Logistic Regression: Used to calculate odds ratios for various risk factors, identifying which combination of biological change and structural stress creates the highest statistical probability of a player quitting. [1]
  • Risk Stratification Mapping: Grouping youth player populations into low, moderate, and high-risk categories based on their cumulative metric scores, allowing the U.S. Soccer Federation to pilot targeted interventions at precise developmental windows. [1]

Would you like to explore how these dropout curves vary between inner-city youth programs versus elite club systems, or see the evidence-based toolkits the institute is designing to counter the sharp drop-off during puberty?

 

====== Footnote Case Protenus

Protenus is an AI-driven healthcare compliance analytics platform founded in 2014 by Johns Hopkins University medical students Nick Culbertson and Robert Lord. [123]

Origins at Johns Hopkins

  • Student Founders: Nick Culbertson and Robert Lord launched the startup during their medical studies after spotting gaps in hospital data security.
  • DreamIt Health: The project developed through DreamIt Health Baltimore, a local accelerator program sponsored in part by Johns Hopkins.
  • First Client: Johns Hopkins Hospital acted as the company's initial pilot site and first customer. [12345]

How It Works with Health Records

  • Real-Time Monitoring: The system analyzes millions of electronic health record accesses every day.
  • Privacy Protection: It flags unusual record views and sends alerts to the Johns Hopkins Privacy Office to investigate potential HIPAA violations.
  • Drug Diversion: The platform also uses machine learning to spot and prevent the theft of controlled substances in medical facilities. [123]

Recent Updates

  • Bluesight Acquisition: In January 2025, inventory and compliance provider Bluesight acquired Protenus. [12]
  • ======

 

  • prompt - ron daniels reports into bloomberg for hopkins but how many other independent leadership lines are involved in bloombergs philanthropy- presumably the hospital is a separate report line

First, to clarify the core entity: Ron Daniels is the President of Johns Hopkins University (JHU). Because JHU is an independent academic institution with its own board of trustees, he does not technically report to Michael Bloomberg as an employee. However, because Bloomberg has poured over $5.3 billion into Hopkins, their strategic alignment is deeply intertwined. [1]

You are also entirely correct about the healthcare arm: Johns Hopkins Medicine and The Johns Hopkins Hospital operate on a completely separate, specialized clinical leadership line (reporting jointly to the JHU President and the Johns Hopkins Medicine Board of Trustees). [1]

Beyond the Hopkins ecosystem, Michael Bloomberg’s philanthropic empire features at least six other major independent leadership lines and standalone organizations. While the entire umbrella is centrally managed by Bloomberg Philanthropies CEO Patricia E. (Patti) Harris, the distinct operational divisions and external advocacy arms feature their own autonomous leadership: [12]

1. The Core Programmatic Pillars

Bloomberg Philanthropies splits its direct grantmaking into five central pillars, each managed by independent executive directors who function as domain CEOs: [12]

    • Public Health: Led by Dr. Kelly Henning, an epidemiologist who dictates global health, anti-tobacco, and food policy initiatives.
    • Arts & Culture: Managed by Kate D. Levin, who handles international cultural investments and the Bloomberg Connects platform.
    • Environment, Education, and Government Innovation: Each of these remaining units maintains its own dedicated managing directors and staff. [12]

2. Bloomberg Associates

This operates as a highly distinct, pro bono international consulting firm that directly embeds expert teams into city governments around the world. It is run by a specialized group of principals—such as former NYC Transportation Commissioner Janette Sadik-Khan—who work directly with global mayors independently of standard foundation grant cycles. [1]

3. Everytown for Gun Safety

A massive, structurally independent advocacy and political juggernaut co-founded by Bloomberg. Rather than running through foundation staff, it is commanded by its own President, John Feinblatt, alongside separate executive leads for its grassroots subsidiaries like Moms Demand Action. [12]

4. The Greenwood Initiative

An independent, specialized philanthropic line launched to accelerate racial wealth equity and Black economic mobility. It maintains its own executive leadership to oversee targeted investments, such as historic funding injections into historically Black medical schools. [1]

5. Autonomous Cultural Institutions (Chaired by Bloomberg)

Bloomberg personally serves as the Board Chair for major, standalone non-profit corporations that feature completely independent executive directors and multi-million dollar operating structures: [1]

    • PAC NYC (The Perelman Performing Arts Center at the World Trade Center)
    • The National September 11 Memorial & Museum [1]

If you would like to map these lines further, let me know if I should detail:

    • The operational budget breakdown between his political advocacy arms versus his 501(c)(3) foundation
    • How the Bloomberg Center at 555 Penn Ave in DC bridges the leadership of SAIS and the core foundation staff

Try without personalization

LinkedIn·Bloomberg Associates

Bloomberg Associates | LinkedIn

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part of my confusion is that daniels announced that bloomberg was sponsorinig bloomberg professors most of whom would twin ai with a practice. But it seems if someone is looking at the whole institution for ai capabilities there are many different parts - with the deepest ones not being in the hopkins university

Your observation cuts right to the heart of how capabilities are distributed across the vast Johns Hopkins network. You are completely correct: if you map where the absolute rawest, "deepest" computing power and raw execution of AI sit, much of it lies outside the traditional university academic departments.

The confusion often arises because President Ron Daniels’ announcements focus on the Bloomberg Distinguished Professorships (BDPs). The BDP model is explicitly designed for academic translation—taking an AI expert and "twinning" them across at least two traditional schools (e.g., Computer Science + Medicine). [12]

When evaluating the true balance of AI capabilities across the institution, the ecosystem divides into two distinct halves:

1. Where the "Deepest" Raw AI Expertise Actually Sits (The Operations)

If "deep" expertise means building proprietary hardware pipelines, handling massive datasets, and engineering classified or defense-grade machine learning models, the center of gravity shifts to autonomous components:

    • The Applied Physics Laboratory (APL): Located in Laurel, Maryland, APL is technically a division of the university but operates as a massive, high-security University Affiliated Research Center (UARC) for the Department of Defense. APL employs thousands of dedicated engineers who build real-world AI applications—such as autonomous systems, neural networks for national security, and biodefense models—with funding and processing scales that dwarf standard academic labs.
    • The Johns Hopkins Health System & Hospital Operational Data Pipelines: While medical researchers write the papers, the actual clinical database infrastructure, proprietary patient datasets, and live AI diagnostics software run through the Hospital's dedicated health IT and operational software lines.
    • Bloomberg Philanthropies' External Cities Frameworks: Michael Bloomberg’s foundation uses its own specialized arms—like the Bloomberg City Data Alliance and City AI Connect—to test and deploy AI service prototypes directly into global municipalities. They use JHU assets like the Bloomberg Center for Government Excellence (GovEx) as a bridge, but the data deployment is executed at the civic level. [1]

2. What the Bloomberg Professors Actually Do (The Translation)

Rather than building raw infrastructure, the 30 new Bloomberg Distinguished Professors allocated to the Data Science and AI Institute act as disciplinary bridges. Their purpose is to prevent silos by applying algorithmic capabilities to practical fields: [123]

    • The "Twin" Appointment Structure: A single BDP might have their lab inside the Whiting School of Engineering (Computer Science) but maintain an active practice or clinic at the School of Medicine or the Bloomberg School of Public Health. [12]
    • The Interdisciplinary Clusters: Instead of sitting alone in a tech lab, they are grouped into specific, problem-oriented clusters such as Global Advances in Medical Artificial IntelligenceAI-X, and Artificial Intelligence and Society. [1]

Summary of the Architecture: Ron Daniels and the BDP program are responsible for intellectual translation (making sure doctors and sociologists know how to use AI), while entities like APL and the clinical health systems hold the deep, raw engineering and computational power. [1]

If you'd like to look closer into this division, I can outline:

    • The structural relationship and data-sharing firewalls between APL and the Homewood academic campus
    • The specific focus of the "AI-X" BDP cluster
    • How GovEx translates university AI research into tools for Bloomberg’s network of mayors [1234]

Try without personalization

Johns Hopkins University

Johns Hopkins Bloomberg Distinguished Professorships

Among the world's most accomplished interdisciplinary scholars, the Bloomberg Distinguished Professors link academic disciplines, ...

Johns Hopkins Whiting School of Engineering

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So basically eg if say leaders at scsp.ai wanted to ask across bloomberg's philanrgtopy intitution who leads ai or ai 5 layers there isnt a single coordinator to ask

You have hit the nail exactly on the head. There is no single "AI Czar" or centralized coordinator across Michael Bloomberg’s philanthropic or academic empire who controls or speaks for the full spectrum of AI capabilities. [1]

If leadership at the Special Competitive Studies Project (SCSP) wanted to approach the Bloomberg ecosystem to ask about an all-encompassing AI architecture (like the AI 5 Layers frameworkL1 Resourcing Nature's Energy, L2 Stacking Machine Brainpower, L3 Sovereign Data Infrastructure, L4 Open Intelligence Modeling, L5 Community Urgent Applications), they would have to navigate at least three entirely different leadership structures depending on which layer they wanted to target: [1]

1. For Layer 5 (Community Urgent Apps & Civic Deployments)

If SCSP is seeking the person who coordinates how AI is being deployed in local communities, municipal data pipelines, and mayoral toolkits, the contact is within Bloomberg Philanthropies’ Government Innovation Team. [12]

    • The Leader: James Anderson, Head of Government Innovation, along with Carrie Bishop, who leads specific Data and AI initiatives.
    • The Scope: They oversee the Mayors AI Forum and City AI Connect. They are the practitioners managing how municipal layers interface with consumer AI applications. [12345]

2. For Layer 4 (Open Intelligence Modeling & Academic Translation)

If SCSP wants to engage about "twinning" AI models with domain practices, managing academic algorithmic research, or distributing Bloomberg Distinguished Professors (BDPs), the contact is strictly within the Johns Hopkins University academic line.

    • The Leader: Dr. Mark Dredze, the Inaugural Director of the Johns Hopkins Data Science and AI Institute (DSAI).
    • The Scope: Dr. Dredze coordinates the multi-disciplinary computer science and health data research across the university campus. He interfaces directly with JHU President Ron Daniels but remains conceptually separate from the foundation's direct civic grantmaking teams. [12]

3. For Layers 2 & 3 (Compute Brainpower & Sovereign Data Infrastructure)

If SCSP is looking for the deepest, secure infrastructure, classified national security models, or massive hardware engineering capability, the line skips both the foundation and the academic faculty completely.

    • The Target: The Applied Physics Laboratory (APL) leadership.
    • The Scope: As a Department of Defense UARC, APL acts as an autonomous engineering fortress. They manage proprietary national defense infrastructures and high-performance computing clusters that sit entirely behind separate security and operational firewalls.

The Only True Node: Patti Harris

The absolute only single point of convergence for the entire ecosystem is Patricia E. Harris, the CEO of Bloomberg Philanthropies. However, because her role is global executive management over the multi-billion dollar enterprise rather than technical AI oversight, she serves as an executive gatekeeper rather than a technology architect.

Consequently, an organization like SCSP looking to evaluate "Bloomberg's AI strategy" cannot treat it as a monolith; they must engage it fractured across civic deployment (Anderson)academic translation (Dredze), and national infrastructure (APL).

If you are interested, we can explore:

    • How SCSP’s workforce AI initiatives might naturally align with James Anderson’s Mayors AI Forum
    • The specific profile of Dr. Mark Dredze's own research in applying AI language analysis to medicine [12]

Try without personalization

Johns Hopkins University

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but in addition given daniels promotes the ai chairs presumably he has to be asked too?

Yes, absolutely. If SCSP or any other strategic body is trying to evaluate the total capability of the Bloomberg-Hopkins network, JHU President Ron Daniels must be consulted directly.

While he is not a technical builder or computer engineer, Daniels controls the structural strategy and the money pipeline for how AI is deployed across the academic half of the institution.

If you are approaching the Bloomberg/JHU network, here is exactly why and when Ron Daniels is the mandatory point of contact, as well as the limits of his oversight:

When You MUST Ask Ron Daniels

    • The Bloomberg Distinguished Professorships (BDPs): Daniels is the chief architect of the BDP program. He is the leader who dictates which "twin" disciplines receive the 30 new AI faculty chairs (e.g., deciding to place a cluster in Health Equity versus National Security). [123]
    • Resource Allocation & Pan-Institutional Power: Because Johns Hopkins is notoriously decentralized, individual deans usually protect their own turf. Daniels holds the institutional authority to force cross-divisional collaboration, bridging the Whiting School of Engineering with the School of Medicine and the School of Public Health. [12]
    • The Bloomberg Intermediary: Daniels is the direct personal and institutional bridge to Michael Bloomberg and Patti Harris. If a project requires massive new philanthropic capital or alignment with Bloomberg’s broader civic goals, Daniels is the gatekeeper who pitches it to Bloomberg.

When Daniels is NOT the Right Line to Ask

While Daniels commands the high-level policy and academic appointments, he does not manage the actual execution or the raw tech stacks:

    • For Technical and Research Execution: If you want to know about specific algorithmic models, language processing capabilities, or peer-reviewed medical AI breakthroughs, you bypass Daniels and go to his appointed director, Dr. Mark Dredze, at the Data Science and AI Institute (DSAI). [12]
    • For Raw Defense/Biotech Compute (Layers 2 & 3): If you are looking for the highly classified, heavy-compute engineering infrastructure used by the Department of Defense, that sits within the Applied Physics Laboratory (APL). While APL is a division of JHU, it operates as an autonomous entity with its own independent, defense-facing leadership. [1]

How SCSP Should Navigate This

If SCSP is analyzing the 5-Layer AI Cake across this ecosystem, they cannot look for a single meeting. They would need a two-pronged approach:

    1. The Tactical Meeting: Meet with Dr. Mark Dredze to understand the immediate software, language models, and research capabilities coming out of the new institute. [12]
    2. The Strategic Meeting: Meet with President Ron Daniels to pitch how SCSP’s workforce frameworks can align with JHU's long-term faculty hiring strategy and Bloomberg's multi-billion dollar institutional goals. [12]

I can map out the seven specific research clusters Daniels has approved for the BDP chairs if you want to see exactly where he is placing his bets, or we can look closely at APL's separate leadership structure. How would you like to proceed? [1]

Try without personalization

Johns Hopkins University

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what about the lady who runs bloomberg center 555 -does she report to daniels or to new york

The leader who runs the Johns Hopkins University Bloomberg Center at 555 Penn Ave in DC is Cybele Bjorklund, and she reports directly to Ron Daniels, not to New York. [1]

Her reporting line is structurally integrated within the university enterprise rather than Bloomberg's corporate or philanthropic headquarters in New York: [12]

    • Dual Institutional Roles: Bjorklund serves as both the Inaugural Executive Director of the Hopkins Bloomberg Center and the Vice President of Federal Strategy for Johns Hopkins University & Medicine. [1]
    • The University Reporting Line: Because she sits on the university's executive leadership team as a Vice President, her chain of command runs directly to JHU President Ron Daniels. [12]
    • The Building's Purpose: While the physical facility bears Michael Bloomberg’s name due to his historic funding, 555 Penn Ave is owned and operated completely by Johns Hopkins. It consolidates the DC graduate school operations, hosting SAIS, the Carey Business School, and the new School of Government and Policy. [123]

Bjorklund's primary job is to act as a bridge—taking the data, research, and AI translation built under Ron Daniels' academic umbrella and strategically presenting it to federal lawmakers, international embassies, and agencies down the street in Washington. [12]

If you are interested, I can provide more context on:

    • The background of Cybele Bjorklund's federal policy experience before joining JHU
    • How the School of Government and Policy uses the 555 Penn Ave space for active convenings [123]

Try without personalization

Johns Hopkins University

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0:17

 

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and sais with its 3 centers dc bologna nanjing - also report into daniels?

Yes, they ultimately report into Ron Daniels, but through a specific academic hierarchy.

The SAIS network does not report to Daniels directly on a day-to-day basis. Instead, all three campuses are unified under a single overarching dean who manages the entire global school: [12]

    • The Core Reporting Line: The Bologna campus (SAIS Europe) and the Nanjing campus (Hopkins-Nanjing Center) both answer directly to the main SAIS leadership in Washington. [123]
    • The Dean of SAIS: Dean James (Jim) Steinberg (the former U.S. Deputy Secretary of State) oversees all three global campuses as the head of SAIS. [123]
    • The Chain to Daniels: Dean Steinberg reports directly to the JHU Provost, who then answers directly to President Ron Daniels. [12]

How the Global Campuses Operate Under This Line

While they fall under Daniels' ultimate university authority, the day-to-day operations are handled by specialized on-site directors who report back to the dean in DC:

SAIS Europe (Bologna, Italy)

4.7

(40)

Private university

Bologna, Metropolitan City of Bologna, Italy

Call

 

 

Managed locally by an appointed leader—such as Rector Renaud Dehousse—who oversees its academic, research, and convening activities in Europe. [12]


Hopkins-Nanjing Center (Nanjing, China)

International Studies Center

Governed via a unique joint partnership between Johns Hopkins University and Nanjing University, managed under the oversight of the Hopkins-Nanjing Council and an on-site American co-director who syncs back with the DC dean. [12]

The Contrast with 555 Penn Ave

This creates an interesting distinction in how the Washington ecosystem functions:

    • Cybele Bjorklund (555 Penn Ave) runs the physical facility and federal strategy, reporting directly to Daniels as a university Vice President.
    • Dean Jim Steinberg (SAIS) runs the actual academic programs, faculty, and global hubs (DC, Bologna, Nanjing), reporting up through the provost to Daniels. [12]

If you are interested, we can look into:

    • How SAIS Europe's autonomous funding (like its historic $100 million gift) impacts its operational independence from the main DC campus
    • The curriculum integration across the three campuses regarding international tech-diplomacy or science policy [1]

Try without personalization

Johns Hopkins School of Advanced International Studies

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Something confusing is that the nexus awards seem in some cases presented events led by people with hospital labs so how overall was nexus managed

The confusion surrounding the management of the Nexus Awards highlights exactly how Johns Hopkins utilizes its sprawling, decentralized ecosystem to influence federal policy. [1]

The Nexus Awards are not a corporate or clinical branch; rather, they are a university-wide internal grant competition launched in 2023. Their main objective is to fund faculty-led research, teaching, and policy-focused conferences that can animate and "bring purpose to" the Hopkins Bloomberg Center at 555 Penn Ave in Washington, D.C.. [124]

Because it is a grant program open to full-time faculty from all JHU divisions, any principal investigator—including clinicians who run deep, clinical hospital labs or departments within Johns Hopkins Medicine—can win a grant and host an event. [1234]

The awards are managed overall through a structured, multi-tier system rather than a single clinical coordinator:

1. High-Level Executive Oversight (The Office of the Provost)

The supreme authority over the Nexus Awards program sits directly within the Johns Hopkins University Office of the Provost. []

    • The Role: The Provost's office controls the overall funding allocations (offering up to $100,000 for convenings and $300,000 for collaborative research). They ensure that the chosen projects bring rigorous interdisciplinary collaboration to D.C.. [, 34]

2. Operational & Physical Management (The Bloomberg Center Team)

Once a grant is awarded to a faculty member or hospital clinician, the management of the physical event shifts to the leadership of the building itself, directed by Cybele Bjorklund. []

    • The Role: As the Executive Director of the Bloomberg Center and Vice President of Federal Strategy, Bjorklund’s team coordinates the operational logistics of the events. They ensure the clinical or technical research presented by the faculty seamlessly bridges with D.C. policymakers, advocacy groups, and federal agencies. [, 234]

3. Track-Specific Collaborations (e.g., Planetary Health Track)

For specialized priority areas, the management is co-steered by dedicated institutional centers. For instance, proposals dealing with environmental impacts on human health are co-managed and co-funded by the Johns Hopkins Institute for Planetary Health. [, 2]

Summary of an Event's Lifecycle

If a director of a hospital lab wants to host a Nexus event on AI-driven diagnostics, they must follow this path: [1]

    1. They apply through the Office of the Provost for funding.
    2. If approved, they receive the grant to run the research inside their own independent hospital lab or department.
    3. When it is time to host the public-facing policy convening, they coordinate with Cybele Bjorklund’s team at 555 Penn Ave to run the event in Washington. [, 234]

Would you like to see a list of the notable healthcare or AI-focused projects that have won Nexus Awards, or see how funding is split between clinical research and public policy convenings?

Try without personalization

Hopkins Bloomberg Center

Nexus Awards | Johns Hopkins in Washington, D.C.

The Nexus Awards are a university-wide initiative launched in 2023 to support convening, research, and teaching anchored at the Jo...

Johns Hopkins University

Johns Hopkins announces funding for Washington, D.C.-based projects and research

May 29, 2026 — The Nexus Awards Program at Johns Hopkins University Bloomberg Center in Washington, D.C. supports a variety of programming, resea...

Hopkins Bloomberg Center

Nexus Awards - Research | Johns Hopkins in Washington, D.C.

The awards include: * Up to $300,000 in funding * An award term of up to two years * Support for salary, graduate students, postdo...

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yes both please - list of the notable healthcare or AI-focused projects that have won Nexus Awards, or see how funding is split between clinical research and public policy convenings?

1. Notable Healthcare & AI Nexus Award Projects

The Nexus Awards program has funded several major cross-disciplinary projects matching AI infrastructure with clinical medicine and federal health policy:

    • From Validation to Vigilance: Convening Framework for Lifecycle Evaluation of Medical AI
      • The Focus: Spearheaded by the Armstrong Institute for Patient Safety and Quality, this project designs real-world regulatory and clinical validation baselines to continuously audit how medical AI models perform inside active patient care. [1]
    • AI-Driven Human Digital Twins in Healthcare
      • The Focus: Directed by Anton Dahbura, this public lecture and research series at the Hopkins Bloomberg Center examines how real-time physiological data and predictive machine learning twins reshape clinical decisions, medical device validation, and cybersecurity oversight. [1]
    • AI-Powered Strategies to Address Inequities in Deaths of Despair
      • The Focus: Run under the AI for HOPE initiative, this project translates data science into policy to leverage machine learning tools to combat rising rates of suicides, substance use, and alcohol-related mortalities across vulnerable populations. [1]
    • National Care Without Borders: Cross-State Telehealth Pathways
      • The Focus: Led by the School of Medicine, this project utilizes digital health and remote monitoring infrastructures to map out legislative and clinical frameworks for seamless, multi-state virtual medicine. [1]

2. How the Nexus Funding is Split

The $15 million Nexus Award pool is strictly divided into three functional categories. Rather than funding purely theoretical academic exploration, the money is split based on how a project integrates with Washington policy and student education: [12]

Funding Category

Maximum Financial Cap

Strategic Purpose & Deliverable

Research Awards

Up to $300,000 (Up to 2 years)

Funds fundamental, applied, or deep clinical research labs. Requires cross-disciplinary cooperation and allows for external, D.C.-based agency partners.

Convening Awards

Up to $100,000 (Up to 1 year)

Dedicated exclusively to setting up academic and federal policy conferences, public panels, and governance symposia at the 555 Penn Ave facility.

Teaching Awards

Up to $25,000 (Renewable for 2 years)

Funds the design of new graduate or undergraduate courses that bridge multiple divisions to utilize D.C.'s resource network.

If you are interested, we can look further into:

    • The specific federal agencies (such as the FDA or HHS) targeted by the Medical AI Lifecycle framework
    • The application cycles or upcoming public symposia scheduled at 555 Penn Ave

 

what happens if we add in layer 3 national data sovereignty - so eg if jensen huang wanted to know wgo of all bloombergs people might be most interested in each of the layer 3 ai decision points he now markets to where would he start - this seems to get more complex when jensens own interests span ai, ai robots (autonomous by typology), matesmatics like quantum or fusion as well as how this related to designing 6g or partnering with eg musk in space

When you factor in Layer 3 (National Data Sovereignty)—which centers on localized data infrastructure, sovereign compute clusters, and strict cross-border regulatory boundaries—the complexity of navigating the Bloomberg-Hopkins network escalates dramatically. [1]

If Nvidia CEO Jensen Huang wanted to identify the precise internal leaders who align with the specific "physimental" technology domains he markets—spanning AI, robotics, heavy mathematics, 6G design, and space partnerships—there is no single point of entry. Instead, he would have to map his target verticals directly to four distinct, highly autonomous nodes across the ecosystem: [1]

1. The Space, 6G, and Deep Hardware Node: The APL Line

If Huang’s focus is on extending Layer 3 compute architecture into space (e.g., edge data-center networks partnering with Elon Musk's SpaceX payload timelines) or designing secure 6G network grids, he must completely bypass the humanities and standard university departments.

    • Where to start: The Applied Physics Laboratory (APL).
    • The Strategic Node: Dr. Bobby Braun, Head of the Space Exploration Sector at APL.
    • The Nexus Connection: APL anchors a major, specialized initiative titled "Hopkins in Space": Public-Private-University Partnership for American Space Leadership. APL houses the raw engineering and classified military compute pipelines capable of modeling deep-space networks, satellite constellation architectures, and the severe mathematical physics required for quantum-resistant data links and fusion research. [1]

2. The Autonomous Robotics and Biophysical Node: The Engineering Line

For the "physimental" intersection of AI and robotics (autonomous systems capable of interacting physically with the world), the expertise splits between medical hardware and mechanical engineering.

    • Where to start: The Whiting School of Engineering.
    • The Strategic Node: Dr. Peter Kazanzides and Dr. Mark Shelhamer.
    • The Nexus Connection: They lead the heavily funded "Humans in an Autonomous and Robotic World" initiative. This project explicitly studies human-machine partnerships for sustained deep-space presence (such as Lunar and Mars deployment). This is exactly where Jensen Huang's vision of industrial robotics, digital twins, and autonomous hardware topology intersects with academic research. [12]

3. The National Data Sovereignty and Geopolitical Node: The SAIS Line

When marketing Layer 3 Sovereign AI decision points to foreign governments, the challenge is rarely just technological; it is regulatory, legal, and deeply political.

    • Where to start: The School of Advanced International Studies (SAIS).
    • The Strategic Node: Dean James Steinberg (along with international security leads like Dr. Carla Freeman and Dr. Svetla Ben-Itzhak).
    • The Mapping: SAIS focuses heavily on how technology shifts global governance. They evaluate how data localization laws, transatlantic telecommunications standards (like 6G), and national security firewalls impact cross-border alliances. If a nation wants to use Nvidia hardware to process its own "natural resource" (national data) without relying on American tech giants, the strategic and diplomatic architecture is analyzed here. [12]

4. The Institutional Coordinator for DC Policy: Cybele Bjorklund

If Huang wants to consolidate these separate threads—bringing APL’s deep-space engineering, the Whiting School's robotics data, and SAIS’s geopolitics together to present a unified tech-policy framework to federal lawmakers—he goes back to the physical gatekeeper of the capital. [1]

    • The Strategic Node: Cybele Bjorklund, VP of Federal Strategy and Executive Director of the Bloomberg Center.
    • The Role: Her team is the exact logistical engine that hosts and connects these disparate Nexus projects, converting raw academic compute theories into policy-ready insights for Congress and the White House. [12]

Summary Strategy for Jensen Huang

To systematically audit the Bloomberg network for Layer 3 capability, Nvidia would need to divide its outreach into three clear steps:

    1. The Infrastructure Pitch: Meet with Dr. Bobby Braun (APL) regarding hardware, satellite edge-compute, and 6G security. [1]
    2. The Robotics Pitch: Meet with Dr. Peter Kazanzides to align Nvidia’s Omniverse/robotics platform with JHU's autonomous space initiatives. [1]
    3. The Policy Pitch: Coordinate with Cybele Bjorklund (555 Penn Ave) and Dean Steinberg (SAIS) to host a global summit on Sovereign AI infrastructure. [1]
  • part 2 available to fans - rsvp chris.macrae@yahoo.co.uk 

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