SlideShare a Scribd company logo
1 of 69
Download to read offline
ANDY SNYDER, AIA
Principal, NBBJ
San Francisco, California
FREDERICK MARKS, AIA
Visiting Scholar & Research
Collaborator, Salk Institute
for Biological Studies
Co-Founder, Academy
of Neuroscience for
Architecture, La Jolla,
California
IMAGAGAGGGEEEEEEEE CRCRCRCRRCRC EDDEDEDEDEDITITITTTITT:::: STSSTSTS EFFONN DAAVVISS /// CUCUUCUCUUUCURARARARARARARALLLLLYLYTICS
01
COMPUTATION IS CHANGING
THE NATURE & PROCESS
OF RESEARCH
Computation, large dataset analysis, and
robotics are changing the nature and
processes of research. These changes
have a direct impact on work modes,
space utilization, and human experience
and performance.
Transcriptic Robotic
Cloud Laboratory
02
IT’S NOT JUST ABOUT LESS
SPACE—IT’S ABOUT BETTER,
HEALTHIER EXPERIENCE
For research, less is not more. Some of
the smartest people in the world work
in these buildings. We are gaining a
better understanding of human health/
productivity... and we need to design
buildings around those principles.
European
Bioinformatics
Institute
03
ATTRACTING THE BEST DATA
SCIENCE TALENT REQUIRES
DESIGNING A GREAT HUMAN
EXPERIENCE
The acceleration of the “drying out” of traditional
wet-bench based scientific processes provides
the opportunity to transition conventional models
of science facilities to new models of science
workplace… and allow these organizations to
compete with technology companies increasingly
interested in the same talent pool.
CoFactor
Genomics HQ
TODAY’S PRESENTATION
EVIDENCE
How is the work of science changing, and what is the impact on space?
LEARNING FROM TECH
What do neuroscience, health, environment and behaviorial science teach us about
the successes of technology workplace paradigms?
IMPLICATIONS
How can we optimize the space needs and qualitative/quantitative drivers for
computational science work going forward?
CURRENT STATE
Does this look familiar?
When new research teams move into a building, they often adapt wet lab space for dry/computational work.
Less than half of life science work is done at the bench, according to a recent JLL survey.
DATA GROWTH
We create as much information in two days as we
did from the dawn of civilization through 2003
Ninety percent of all the data in the world
has been created in the last 2 years
DATA GROWTH
We can sequence 18,000 patient genomes/year…
which generates 1.8 petabytes of data.
1.8 petabytes = 1.8 million
gigabytes…or 9,000
desktop hard drives
Or about 360,000 DVDs…
a stack 2 miles high
1982 1985 1988 1991 1993 1996 1999 2002 2007 2010 2013
140
120
100
80
60
40
20
0
160
2004
BASEPAIRS(BILLIONS)
DATA GROWTH
GENOMIC MEDICINE: The customization of healthcare – medical decisions, treatments
and drugs – for each patient based on their unique DNA sequence
A single human genome has 3 billion base pairs.
NIH FUNDING OF DRY RESEARCH
Networking & IT R&D (NITRD) program funds increase in data science-driven research
2011 2012 2013 2015
700
600
500
400
300
200
100
0
800
2014
DOLLARS(MILLIONS)
2010 2016
( ESTIMATED)
2017
( REQUESTED)
COMPUTATION IS ADDING MORE ROLES
More people on the team, with proportionally less space required for their work
AVERAGE GROUP SIZE
11.2 PEOPLE
LABORATORY
SCIENTIST
COMPUTATIONAL CLINICIANINFORMATICS /
CLINICAL OUTCOMES
CLINICAL TRIALIST
WET BENCH SCIENTIST DRY BENCH SCIENTIST CLINICIAN
AVERAGE GROUP SIZE
11.2 PEOPLE
BENCHES / LAB SUPPORT
TOTAL GROUP SPACE (ASF)
BENCHES / LAB SUPPORT
TOTAL GROUP SPACE (ASF)
AVERAGE GROUP SIZE
6.2 PEOPLE
TOTAL GROUP SPACE (ASF)
AVERAGE GROUP SIZE
4.2 PEOPLE
SHARED CLINICAL
EXAM / LAB / EQUIPMENT
TOTAL GROUP SPACE (ASF)
AVERAGE GROUP SIZE
1.1 PEOPLE
BENCHES / LAB SUPPORT
TOTAL GROUP SPACE (ASF)
1,382 1,094 478 560 111
THE WORK OF DATA SCIENCE
Dry-bench computational work is just as focused as wet-bench laboratory work.
PAST FUTUREPRESENT
5%
Discovery (DRY)
5%
Analysis (DRY)
0%
Social / Amenity
40%
Discovery (WET)
40%
Analysis (WET)
10%
Communicate / Interact
15%
Discovery (DRY)
25%
Analysis (DRY)
5%
Social / Amenity
25%
Discovery (WET)
15%
Analysis (WET)
15%
Communicate / Interact
25%
Discovery (DRY)
20%
Analysis (DRY)
10%
Social / Amenity
5%
Discovery (WET)
20%
Analysis (WET)
20%
Communicate / Interact
WORK MODALITIES SURVEY
Percentage of time spent/work performed on analysis increasing
COMMON THEMES:
WHAT'S THE DATA
TELLING US?
• Research is drying out
• Utilization of wet labs is decreasing,
while dry is increasing
• The new generation of researchers
is data-driven
• Research is increasingly team-based
• The work of science is becoming
more computational
• How do we begin to re-think
conventional lab environments to
support computational work?
TRADITIONAL LAB SPACE
OTHER
P
R
O
GRAM
TOTAL
LAB BUILDING
AREA
OTHER
P
R
O
GRAM
COMMON THEMES:
WHAT'S THE DATA
TELLING US?
• Research is drying out
• Utilization of wet labs is decreasing,
while dry is increasing
• The new generation of researchers
is data-driven
• Research is increasingly team-based
• The work of science is becoming
more computational
• How do we begin to re-think
conventional lab environments to
support computational work?
AVAILAB
LE
SPACE
OTHER
P
R
O
GRAM
TOTAL
LAB BUILDING
AREA
L
A
B
SPACEADJUSTEDFORDATA
SCIE
N
CE
COMMON THEMES:
WHAT'S THE DATA
TELLING US?
• Research is drying out
• Utilization of wet labs is decreasing,
while dry is increasing
• The new generation of researchers
is data-driven
• Research is increasingly team-based
• The work of science is becoming
more computational
• How do we begin to re-think
conventional lab environments to
support computational work?
AVAILAB
LE
SPACE
OTHER
P
R
O
GRAM
TOTAL
LAB BUILDING
AREA
Whatdowedo
with this space?
L
A
B
SPACEADJUSTEDFORDATA
SCIE
N
CE
Technology companies are not making their facilities smaller—they are using newly-available,
“found” space for programs and uses that increase productivity, health and happiness.
Tencent HQAmazon HQ
Samsung HQ Gates Foundation HQ
Gates Foundation HQ
Samsung HQ
Samsung HQ
Recent NBBJ-designed technology company R&D facilities
FIGHTING FOR THE
DATA SCIENTIST
Tech and life science companies are now
battling for the same talent – data science is a
rare blend of technical and creative skills that
is in high demand in both industries.
BIG DATA INSIGHT
ALGORITHM
DESIGN
DATA
SCIENTISTS
RECRUITING DATA
SCIENCE TALENT
The most desirable skill is the ability to
analyze and make sense of metadata.
The NCI Genomic Data Commons at the University of Chicago Kenwood Data Center
WHAT DO TECH COMPANIES PROVIDE TO ENTICE
DATA SCIENCE TALENT?
Tech companies understand that to recruit and retain the best data science and engineering
talent, they need to provide an engaging work experience – one that also maximizes intellectual
productivity and creativity.
BRAND
EXPRESSION
PURPOSE /
MISSION DRIVEN
AMENITIES ACTIVITY-BASED
WORKPLACE
MOBILITY
HUMAN PERFORMANCE
Dr. John Medina
A growing body of primary research
shows the connnections between
environmental design, neuroscience
and behavior.
Especially in research buildings —
the “workplaces” of some of the smartest
people in the world — planners and
designers can now provide environments
and experiences which optimize mental
acuity and intellectual productivity.
To push this further, NBBJ has engaged
Dr. John Medina, a developmental
molecular biologist and research
consultant. He is an Affiliate Professor
of Bioengineering at the University
of Washington School of Medicine
and an NBBJ Fellow.
CONSIDERATIONS
Empirical evidence does not exist for
measuring productivity in work environments.
The best organizations recognize that
occupancy densities should be based on
enabling positive outcomes.
Dr. Salk wanted to embrace a diversity of
scientific disciplines with no departments and
allow for an unencumbered physical plan.
QUIET & PRIVATE
OPEN & PUBLIC FAMILIAR & NOVEL
6 KEY HUMAN PERFORMANCE DRIVERS
PROSPECT/
REFUGE
NEED FOR
NATURE
EXERCISE &
AEROBICS
CO2/OXYGEN
LEVELS
VISUAL INTEREST
& ACUITY
HUMAN
INTERACTION
PROSPECT/REFUGE
Ngorongoro Crater
Humans evolved in settings where they could survey the terrain for
food — “prospect” — from a safe vantage point – “refuge.” Areas
that provide a balance between prospect and refuge are where
people experience the least stress and are therefore more free to
think and ideate.
60% of lost workdays
each year can be
attributed to stress.
Problems at work
lead to more health
complaints than any
other stressor in the
united states – even
financial problems or
family problems.
We are most creative
and productive when
we feel safe, and our
brains feel safest when
we have a blend of
prospect and refuge.
Appleton, J. The Experience of
Landscape. New Jersey: John
Wiley & Sons Inc, 1975
In the United States,
the cost of stress
in the workplace –
absenteeism, reduced
productivity, sick leave,
etc. – was an estimated
$300 billion in 2010.
Scott, S. C. "Visual Attributes
Related to Preference in Interior
Environments." Journal of Interior
Design 18, no. 1–2 (1993): 7–16.
This may look like a typical workplace, but the layout of huddle/collaboration
rooms (at right) subscribe to the principle of prospect-refuge.
SALK INSTITUTE
The studio configuration and sizing/scale of the courtyard
at the Salk Institute also follow these principles.
NEED FOR NATURE
80% of the occupants
near windows were
highly satisfied with
their environment,
compared to 55%
[satisfaction] occupying
more interior spaces.
Visual and auditory
access to nature has a
direct and measurable
effect and reduces
stress, which increases
productivity and
creativity.
Laumann, K.T., and et al.
"Selective Attention and Heart Rate
Responses to Natural and Urban
Environments." J Env Psych 23
(2003): 125–34.
After moving into a
new daylit space,
companies report
over 5% increase in
productivity with a
25–28% increase in
total product output.
Ulrich, R.S. "Effects of Health
Facility Interior Design on Wellness:
Theory and Recent Scientific
Research." J Health Care Des 3
(1991): 97–109.
CIRCADIAN RHYTHM
Our bodies have a master circadian clock that
regulates behavioral rhythms over an approximate
24-hour period. Circadian entrainment
(synchronization) occurs when photoreceptor
cells in the eye’s retina sense light. These cells
are of three types: rods, cones and ipRGCs.
MELATONIN is a chemical substance that
is activated in the absence of light and is
suppressed when a certain amount of light is
present.
MELANOPSIN is a protein present in retinal
ganglion cells (ipRGCs) that is activated by non-
image forming responses. It is most sensitive to
blue light
Mid-day
below grade
Dusk at grade
Salk Institute
Salk Institute
Sonos HQ, Boston
From a neuroscience standpoint, access to nature does not need to be “real" — it can
also be simulated, which produces similar positive neurological activity in the brain.
EXERCISE & AEROBICS
Samsung AHQ | NBBJ
On average office
workers spend 76% of
their day sitting and
tend to underestimate
their time sitting.
Sitting for over 6 hours
a day for a decade
or two can cut away
about 7 years of quality
adjusted life (the kind
you want).
COGNITIVEBENEFIT
COGNITIVE BENEFIT OF AEROBIC EXERCISE
Aerobic exercise has been shown to boost executive function and buffer stress.
To be effective, heart rate must be higher than average heart rate when walking.
MINUTES PER WEEK
From findings in:
Tomporowski, P.D. "Effects of Acute Bouts of
Exercise on Cognition." Acta Psychol (Amst) 112
(2003): 297-324.
150
Amenities like fitness centers are not only “nice-to-haves,” but also have the added
benefit of increasing one’s heart rate, thereby increasing cognition. Samsung AHQ | NBBJ
Even amenities like foosball and table tennis benefit from this principle! Samsung AHQ | NBBJ
OXYGEN LEVELS
223 Yale | NBBJ
One of the most interesting findings
of the past few decades is that
an increase in oxygen is always
accompanied by an up-tick in
mental sharpness.
Doubling the air change rate to
reduce CO2 levels, at a cost of
$40/person, resulted in $6500
gain in productivity per person in
an office environment.
Allen JG, MacNaughton P, Satish U, Santanam
S, Vallarino J, Spengler JD. 2016. "Associations
of Cognitive Function Scores With Carbon Dioxide,
Ventilation, and Volatile Organic Compound Exposures
in Office Workers: A Controlled Exposure Study of
Green and Conventional Office Environments." Environ
Health Perspect 124:805–812.
Amazon’s new headquarters in Seattle, currently under construction, includes an innovation
center which leverages daylight and plant life to optimize space for creative collaboration. Amazon HQ | NBBJ
Amazon HQ | NBBJ
HUMAN INTERACTION
Samsung AHQ | NBBJ
30% of respondents who
reported having a best
friend at work were seven
times more likely to be
engaged at their jobs.
J. Harter & T. Rath. (2010). Wellbeing:
The Five Essential Elements. New York,
NY: Gallup Press.
Separating by more than
100' is equivalent to being
in different buildings, if
not different geographical
locations. Even within this
range, those nearest to
one anothercommunicate
more than those at a
greater distance.
Serendipitous group
interactions boost
productivity 25%.
Lindsay, G. "Engineering Serendipity."
New York Times. http://www.nytimes.
com/2013/04/07/opinion/sunday/
engineering-serendipity.html?_r=0.
By relocating participants
so they were all working
in the same area, informal
communities of practice
grew up around the various
tasks involved in the
process, and the time to
complete it was cut from
17 days to 3 days.
Research shows that if
people have to walk more
than 65' to see someone,
they’ll send an email
instead. If they’re close,
they’ll walk to see each
other and communicate
in person.
YOU CAN IDENTIFY HIGH-PERFORMING TEAMS
BY COUNTING RELATIONSHIPS
Scientific teams that have more dense networks of
interaction achieve higher levels of productivity.
TEAM A TEAM B
Achieves more, innovates more
AN
INDIVIDUAL
ARELATIONSHIP
BUILDING LAYOUT CATALYZES
SOCIAL NETWORKS
The “Allen Curve”
submits that physical
distance plays an
important role in
how frequently we
communicate with
each other.
Silo structure
Many social links
Not many interdisciplinary links
CONCLUSION: Executors (aligned but not creative)
COMMUNICATION PATTERNS IN TRADITIONAL LAB COMMUNICATION PATTERNS IN FLEXI LAB
One team
Many social links
Many interdisciplinary links
CONCLUSION: Innovators (aligned AND creative)
SAMSUNG VIDEO
VISUAL INTEREST /
VISUAL ACUITY
Amazon HQ | NBBJ
Those employees at a
workstation with partition
heights above eye level
on two sides are seen to
be performing 11%–18%
slower than those with
all their partitions below
eye level.
Office workers were found
to perform 10%–23%
better on tests of mental
function and memory
recall when they had a view
versus those with no view.
When people look at
something they find
beautiful, a portion of the
brain called the medial
orbito-frontal cortex “lights
up” with increased blood
flow in this area. It is a
near-universal response
to beauty.
In neuro imaging studies,
“beautiful” paintings elicited
increased activity in the
orbito-frontal cortex, which
is involved in emotion and
reward. Interestingly, the
“uglier” a painting, the
greater the motor cortex
activity, as if the brain
was preparing to escape.
PLACE VS. SPACE
The visual environment has measurable statistics.
The natural world is filled with contours where orientation is similar.
Designers exploit these regular repeating structures (such as fractals).
Ocean waves P. Mondrian “Composition” Salk Institute detail
COMMON THEMES:
WHAT'S THE DATA
TELLING US?
• Research is drying out
• Utilization of wet labs is decreasing,
while dry is increasing
• The new generation of researchers
is data-driven
• Research is increasingly team-based
• The work of science is becoming
more computational
• How do we begin to re-think
conventional lab environments to
support computational work?
AVAILAB
LE
SPACE
OTHER
P
R
O
GRAM
TOTAL
LAB BUILDING
AREA
Whatdowedo
with this space?
L
A
B
SPACEADJUSTEDFORUTILIZAT
IO
N
6 KEY HUMAN PERFORMANCE DRIVERS
PROSPECT/
REFUGE
NEED FOR
NATURE
EXERCISE &
AEROBICS
CO2/OXYGEN
LEVELS
VISUAL INTEREST
& ACUITY
HUMAN
INTERACTION
PROSPECT-REFUGE
Design the “in-between” space
Brigham and Womens Hospital: Cafe is central to the “experience” of the
BWH campus precinct when considered with the Pike
The cafe is a place to see what’s going on (prospect) from a more intimate
environment (refuge)
NEED FOR NATURE
& VISUAL ACUITY
Add or simulate a view
BWH Building for Transformative Medicine: Tower design is
optimized for maximizing interior views and views outside This is a basement space!
EXERCISE & OXYGEN LEVELS
Provide amenities – or convenient access to them
Stanford University Li Ka Shing Center: 4th Floor is student-only amenity
floor with collaborative space, meeting areas, a fitness center and terrace
HUMAN INTERACTION
Apply activity-based solutions to ALL environments
The Research Institute at Nationwide Children’s Hospital,
Research Building III: Flexible team-based dry research space
HOW CAN YOU DRIVE
CHANGE WITHIN
YOUR ORGANIZATION?
1. Building Advocacy: Proof at concept.
New computational planning tools allow us
to measure, prove and/or disprove whether
planning solutions are actually producing
the desired effects. The example here is an
avatar-based software NBBJ designed for the
Samsung AHQ project, which tracks visibility
and even calories burned for users during a
typical day. For one of the first times in our
profession, we have proof of concept. We
don’t have to wait until move-in to assess
the performance of a particular planning or
design solution.
HOW CAN YOU DRIVE
CHANGE WITHIN
YOUR ORGANIZATION?
2. Funding: Broaden utilization
studies. Consider including more
space types in your utilization studies
to get broader insights on where
people are spending most of their
time, given choice. This example
integrates GIS technology, providing
not only utilization data, but also
information on the locations in space
where people spend time.
The “new” 25% of available space — that which can be optimized for
human experience — is not expensive! Microsoft Learning Center | NBBJ
HOW CAN YOU DRIVE
CHANGE WITHIN
YOUR ORGANIZATION?
3. Interdisciplinary Behavior: One size does
NOT fit all! What works for one organization may
not work for another. It is critically important to
innovate solutions that uniquely connect mission,
culture, space/place and behavior during the
planning process.
TRADELINE 3
01
Computation is changing the
nature & process of research.
Computation, large dataset
analysis and robotics are
changing the nature and
processes of research. These
changes have a direct impact
on work modes, productivity
and employee experience.
02
It’s not just about less
space – it’s about healthier/
better experiences.
We are gaining a better
understanding of the
relationships between
space, behavior, health
and productivity. We can
now quantitatively measure
qualitative aspects of
experience and optimize
planning/design of
environments according to
those measures/criteria.
03
Attracting the best data
science talent requires
designing a great human
experience.
A new model for the
computational science
workplace is needed –
one that is grounded in
experience design and
enables healthy/productive
environments.
Tradeline 2016

More Related Content

Similar to Tradeline 2016

WELL Living Lab story
WELL Living Lab storyWELL Living Lab story
WELL Living Lab storyStephen Brown
 
Is the current measure of excellence perverting Science? A Data deluge is com...
Is the current measure of excellence perverting Science? A Data deluge is com...Is the current measure of excellence perverting Science? A Data deluge is com...
Is the current measure of excellence perverting Science? A Data deluge is com...Lourdes Verdes-Montenegro
 
Talk at OHSU, September 25, 2013
Talk at OHSU, September 25, 2013Talk at OHSU, September 25, 2013
Talk at OHSU, September 25, 2013Anita de Waard
 
Cancer and Work Design v1.01
Cancer and Work Design v1.01Cancer and Work Design v1.01
Cancer and Work Design v1.01James Repenning
 
Univ of Miami CTSI: Citizen science seminar; Oct 2014
Univ of Miami CTSI: Citizen science seminar; Oct 2014Univ of Miami CTSI: Citizen science seminar; Oct 2014
Univ of Miami CTSI: Citizen science seminar; Oct 2014Richard Bookman
 
Presentation to the J. Craig Venter Institute, Dec. 2014
Presentation to the J. Craig Venter Institute, Dec. 2014Presentation to the J. Craig Venter Institute, Dec. 2014
Presentation to the J. Craig Venter Institute, Dec. 2014Mark Wilkinson
 
Open Data in a Global Ecosystem
Open Data in a Global EcosystemOpen Data in a Global Ecosystem
Open Data in a Global EcosystemPhilip Bourne
 
2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)Dag Endresen
 
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Tom Plasterer
 
Inauguration Function - Ohio Center of Excellence in Knowledge-Enabled Comput...
Inauguration Function - Ohio Center of Excellence in Knowledge-Enabled Comput...Inauguration Function - Ohio Center of Excellence in Knowledge-Enabled Comput...
Inauguration Function - Ohio Center of Excellence in Knowledge-Enabled Comput...Artificial Intelligence Institute at UofSC
 
HKU Data Curation MLIM7350 Class 8
HKU Data Curation MLIM7350 Class 8HKU Data Curation MLIM7350 Class 8
HKU Data Curation MLIM7350 Class 8Scott Edmunds
 
Acting as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decadeActing as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decadeLizLyon
 
Supervised Multi Attribute Gene Manipulation For Cancer
Supervised Multi Attribute Gene Manipulation For CancerSupervised Multi Attribute Gene Manipulation For Cancer
Supervised Multi Attribute Gene Manipulation For Cancerpaperpublications3
 
Paolo ciccarese DILS 2013 keynote
Paolo ciccarese DILS 2013 keynotePaolo ciccarese DILS 2013 keynote
Paolo ciccarese DILS 2013 keynotePaolo Ciccarese
 
CLIR Fellows - Science Data - 14_0730
CLIR Fellows - Science Data - 14_0730CLIR Fellows - Science Data - 14_0730
CLIR Fellows - Science Data - 14_0730jeffreylancaster
 
Data science with Ulrik Nicolai de Lichtenberg
Data science with Ulrik Nicolai de LichtenbergData science with Ulrik Nicolai de Lichtenberg
Data science with Ulrik Nicolai de LichtenbergCphBioscienceCluster
 

Similar to Tradeline 2016 (20)

WELL Living Lab story
WELL Living Lab storyWELL Living Lab story
WELL Living Lab story
 
Is the current measure of excellence perverting Science? A Data deluge is com...
Is the current measure of excellence perverting Science? A Data deluge is com...Is the current measure of excellence perverting Science? A Data deluge is com...
Is the current measure of excellence perverting Science? A Data deluge is com...
 
Talk at OHSU, September 25, 2013
Talk at OHSU, September 25, 2013Talk at OHSU, September 25, 2013
Talk at OHSU, September 25, 2013
 
Cancer and Work Design v1.01
Cancer and Work Design v1.01Cancer and Work Design v1.01
Cancer and Work Design v1.01
 
The State of Open Data Report by @figshare
The State of Open Data Report  by @figshareThe State of Open Data Report  by @figshare
The State of Open Data Report by @figshare
 
Univ of Miami CTSI: Citizen science seminar; Oct 2014
Univ of Miami CTSI: Citizen science seminar; Oct 2014Univ of Miami CTSI: Citizen science seminar; Oct 2014
Univ of Miami CTSI: Citizen science seminar; Oct 2014
 
Presentation to the J. Craig Venter Institute, Dec. 2014
Presentation to the J. Craig Venter Institute, Dec. 2014Presentation to the J. Craig Venter Institute, Dec. 2014
Presentation to the J. Craig Venter Institute, Dec. 2014
 
Open Data in a Global Ecosystem
Open Data in a Global EcosystemOpen Data in a Global Ecosystem
Open Data in a Global Ecosystem
 
The Field Guide to Data Science
The Field Guide to Data ScienceThe Field Guide to Data Science
The Field Guide to Data Science
 
2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)
 
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
 
Inauguration Function - Ohio Center of Excellence in Knowledge-Enabled Comput...
Inauguration Function - Ohio Center of Excellence in Knowledge-Enabled Comput...Inauguration Function - Ohio Center of Excellence in Knowledge-Enabled Comput...
Inauguration Function - Ohio Center of Excellence in Knowledge-Enabled Comput...
 
HKU Data Curation MLIM7350 Class 8
HKU Data Curation MLIM7350 Class 8HKU Data Curation MLIM7350 Class 8
HKU Data Curation MLIM7350 Class 8
 
Acting as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decadeActing as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decade
 
Supervised Multi Attribute Gene Manipulation For Cancer
Supervised Multi Attribute Gene Manipulation For CancerSupervised Multi Attribute Gene Manipulation For Cancer
Supervised Multi Attribute Gene Manipulation For Cancer
 
Paolo ciccarese DILS 2013 keynote
Paolo ciccarese DILS 2013 keynotePaolo ciccarese DILS 2013 keynote
Paolo ciccarese DILS 2013 keynote
 
Open Science Governance and Regulation/Simon Hodson
Open Science Governance and Regulation/Simon HodsonOpen Science Governance and Regulation/Simon Hodson
Open Science Governance and Regulation/Simon Hodson
 
Data at the NIH
Data at the NIHData at the NIH
Data at the NIH
 
CLIR Fellows - Science Data - 14_0730
CLIR Fellows - Science Data - 14_0730CLIR Fellows - Science Data - 14_0730
CLIR Fellows - Science Data - 14_0730
 
Data science with Ulrik Nicolai de Lichtenberg
Data science with Ulrik Nicolai de LichtenbergData science with Ulrik Nicolai de Lichtenberg
Data science with Ulrik Nicolai de Lichtenberg
 

More from NBBJDesign

The Hospital of the Future
The Hospital of the FutureThe Hospital of the Future
The Hospital of the FutureNBBJDesign
 
Better Offices, Greater Innovation
Better Offices, Greater Innovation Better Offices, Greater Innovation
Better Offices, Greater Innovation NBBJDesign
 
The Influence of Tech on the Future of Cities
The Influence of Tech on the Future of CitiesThe Influence of Tech on the Future of Cities
The Influence of Tech on the Future of CitiesNBBJDesign
 
This Ain't Your Grandma's Hospital
This Ain't Your Grandma's HospitalThis Ain't Your Grandma's Hospital
This Ain't Your Grandma's HospitalNBBJDesign
 
Hospital of the Future
Hospital of the FutureHospital of the Future
Hospital of the FutureNBBJDesign
 
Designing for Beauty and Performance through Data
Designing for Beauty and Performance through DataDesigning for Beauty and Performance through Data
Designing for Beauty and Performance through DataNBBJDesign
 
Human-Centered Hospital Design in an Era of Digital Diagnostics, Robotics and...
Human-Centered Hospital Design in an Era of Digital Diagnostics, Robotics and...Human-Centered Hospital Design in an Era of Digital Diagnostics, Robotics and...
Human-Centered Hospital Design in an Era of Digital Diagnostics, Robotics and...NBBJDesign
 
The War on Office: The Role of the Office in the Age of Competition for Ideas...
The War on Office: The Role of the Office in the Age of Competition for Ideas...The War on Office: The Role of the Office in the Age of Competition for Ideas...
The War on Office: The Role of the Office in the Age of Competition for Ideas...NBBJDesign
 
Me & We: The Influence of Millennials on Commercial Development
Me & We: The Influence of Millennials on Commercial DevelopmentMe & We: The Influence of Millennials on Commercial Development
Me & We: The Influence of Millennials on Commercial DevelopmentNBBJDesign
 
A Good Life: Designing for Health and Well-Being
A Good Life: Designing for Health and Well-BeingA Good Life: Designing for Health and Well-Being
A Good Life: Designing for Health and Well-BeingNBBJDesign
 

More from NBBJDesign (11)

The Hospital of the Future
The Hospital of the FutureThe Hospital of the Future
The Hospital of the Future
 
Better Offices, Greater Innovation
Better Offices, Greater Innovation Better Offices, Greater Innovation
Better Offices, Greater Innovation
 
The Influence of Tech on the Future of Cities
The Influence of Tech on the Future of CitiesThe Influence of Tech on the Future of Cities
The Influence of Tech on the Future of Cities
 
This Ain't Your Grandma's Hospital
This Ain't Your Grandma's HospitalThis Ain't Your Grandma's Hospital
This Ain't Your Grandma's Hospital
 
Hospital of the Future
Hospital of the FutureHospital of the Future
Hospital of the Future
 
Designing for Beauty and Performance through Data
Designing for Beauty and Performance through DataDesigning for Beauty and Performance through Data
Designing for Beauty and Performance through Data
 
Human-Centered Hospital Design in an Era of Digital Diagnostics, Robotics and...
Human-Centered Hospital Design in an Era of Digital Diagnostics, Robotics and...Human-Centered Hospital Design in an Era of Digital Diagnostics, Robotics and...
Human-Centered Hospital Design in an Era of Digital Diagnostics, Robotics and...
 
Engaging Tech
Engaging TechEngaging Tech
Engaging Tech
 
The War on Office: The Role of the Office in the Age of Competition for Ideas...
The War on Office: The Role of the Office in the Age of Competition for Ideas...The War on Office: The Role of the Office in the Age of Competition for Ideas...
The War on Office: The Role of the Office in the Age of Competition for Ideas...
 
Me & We: The Influence of Millennials on Commercial Development
Me & We: The Influence of Millennials on Commercial DevelopmentMe & We: The Influence of Millennials on Commercial Development
Me & We: The Influence of Millennials on Commercial Development
 
A Good Life: Designing for Health and Well-Being
A Good Life: Designing for Health and Well-BeingA Good Life: Designing for Health and Well-Being
A Good Life: Designing for Health and Well-Being
 

Recently uploaded

Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​kaibalyasahoo82800
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPirithiRaju
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learninglevieagacer
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfSumit Kumar yadav
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .Poonam Aher Patil
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Silpa
 
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...Lokesh Kothari
 
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticssakshisoni2385
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)Areesha Ahmad
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000Sapana Sha
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)Areesha Ahmad
 
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICESAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICEayushi9330
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencySheetal Arora
 
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...ssuser79fe74
 
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bSérgio Sacani
 
Conjugation, transduction and transformation
Conjugation, transduction and transformationConjugation, transduction and transformation
Conjugation, transduction and transformationAreesha Ahmad
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)Areesha Ahmad
 
Seismic Method Estimate velocity from seismic data.pptx
Seismic Method Estimate velocity from seismic  data.pptxSeismic Method Estimate velocity from seismic  data.pptx
Seismic Method Estimate velocity from seismic data.pptxAlMamun560346
 
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedConnaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedDelhi Call girls
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksSérgio Sacani
 

Recently uploaded (20)

Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdf
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.
 
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
GUIDELINES ON SIMILAR BIOLOGICS Regulatory Requirements for Marketing Authori...
 
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)
 
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICESAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
 
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
 
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
 
Conjugation, transduction and transformation
Conjugation, transduction and transformationConjugation, transduction and transformation
Conjugation, transduction and transformation
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)
 
Seismic Method Estimate velocity from seismic data.pptx
Seismic Method Estimate velocity from seismic  data.pptxSeismic Method Estimate velocity from seismic  data.pptx
Seismic Method Estimate velocity from seismic data.pptx
 
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedConnaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
 

Tradeline 2016

  • 1. ANDY SNYDER, AIA Principal, NBBJ San Francisco, California FREDERICK MARKS, AIA Visiting Scholar & Research Collaborator, Salk Institute for Biological Studies Co-Founder, Academy of Neuroscience for Architecture, La Jolla, California IMAGAGAGGGEEEEEEEE CRCRCRCRRCRC EDDEDEDEDEDITITITTTITT:::: STSSTSTS EFFONN DAAVVISS /// CUCUUCUCUUUCURARARARARARARALLLLLYLYTICS
  • 2. 01 COMPUTATION IS CHANGING THE NATURE & PROCESS OF RESEARCH Computation, large dataset analysis, and robotics are changing the nature and processes of research. These changes have a direct impact on work modes, space utilization, and human experience and performance. Transcriptic Robotic Cloud Laboratory
  • 3. 02 IT’S NOT JUST ABOUT LESS SPACE—IT’S ABOUT BETTER, HEALTHIER EXPERIENCE For research, less is not more. Some of the smartest people in the world work in these buildings. We are gaining a better understanding of human health/ productivity... and we need to design buildings around those principles. European Bioinformatics Institute
  • 4. 03 ATTRACTING THE BEST DATA SCIENCE TALENT REQUIRES DESIGNING A GREAT HUMAN EXPERIENCE The acceleration of the “drying out” of traditional wet-bench based scientific processes provides the opportunity to transition conventional models of science facilities to new models of science workplace… and allow these organizations to compete with technology companies increasingly interested in the same talent pool. CoFactor Genomics HQ
  • 5. TODAY’S PRESENTATION EVIDENCE How is the work of science changing, and what is the impact on space? LEARNING FROM TECH What do neuroscience, health, environment and behaviorial science teach us about the successes of technology workplace paradigms? IMPLICATIONS How can we optimize the space needs and qualitative/quantitative drivers for computational science work going forward?
  • 6.
  • 7. CURRENT STATE Does this look familiar? When new research teams move into a building, they often adapt wet lab space for dry/computational work.
  • 8. Less than half of life science work is done at the bench, according to a recent JLL survey.
  • 9. DATA GROWTH We create as much information in two days as we did from the dawn of civilization through 2003 Ninety percent of all the data in the world has been created in the last 2 years
  • 10. DATA GROWTH We can sequence 18,000 patient genomes/year… which generates 1.8 petabytes of data. 1.8 petabytes = 1.8 million gigabytes…or 9,000 desktop hard drives Or about 360,000 DVDs… a stack 2 miles high
  • 11. 1982 1985 1988 1991 1993 1996 1999 2002 2007 2010 2013 140 120 100 80 60 40 20 0 160 2004 BASEPAIRS(BILLIONS) DATA GROWTH GENOMIC MEDICINE: The customization of healthcare – medical decisions, treatments and drugs – for each patient based on their unique DNA sequence A single human genome has 3 billion base pairs.
  • 12. NIH FUNDING OF DRY RESEARCH Networking & IT R&D (NITRD) program funds increase in data science-driven research 2011 2012 2013 2015 700 600 500 400 300 200 100 0 800 2014 DOLLARS(MILLIONS) 2010 2016 ( ESTIMATED) 2017 ( REQUESTED)
  • 13. COMPUTATION IS ADDING MORE ROLES More people on the team, with proportionally less space required for their work AVERAGE GROUP SIZE 11.2 PEOPLE LABORATORY SCIENTIST COMPUTATIONAL CLINICIANINFORMATICS / CLINICAL OUTCOMES CLINICAL TRIALIST WET BENCH SCIENTIST DRY BENCH SCIENTIST CLINICIAN AVERAGE GROUP SIZE 11.2 PEOPLE BENCHES / LAB SUPPORT TOTAL GROUP SPACE (ASF) BENCHES / LAB SUPPORT TOTAL GROUP SPACE (ASF) AVERAGE GROUP SIZE 6.2 PEOPLE TOTAL GROUP SPACE (ASF) AVERAGE GROUP SIZE 4.2 PEOPLE SHARED CLINICAL EXAM / LAB / EQUIPMENT TOTAL GROUP SPACE (ASF) AVERAGE GROUP SIZE 1.1 PEOPLE BENCHES / LAB SUPPORT TOTAL GROUP SPACE (ASF) 1,382 1,094 478 560 111
  • 14. THE WORK OF DATA SCIENCE Dry-bench computational work is just as focused as wet-bench laboratory work.
  • 15. PAST FUTUREPRESENT 5% Discovery (DRY) 5% Analysis (DRY) 0% Social / Amenity 40% Discovery (WET) 40% Analysis (WET) 10% Communicate / Interact 15% Discovery (DRY) 25% Analysis (DRY) 5% Social / Amenity 25% Discovery (WET) 15% Analysis (WET) 15% Communicate / Interact 25% Discovery (DRY) 20% Analysis (DRY) 10% Social / Amenity 5% Discovery (WET) 20% Analysis (WET) 20% Communicate / Interact WORK MODALITIES SURVEY Percentage of time spent/work performed on analysis increasing
  • 16. COMMON THEMES: WHAT'S THE DATA TELLING US? • Research is drying out • Utilization of wet labs is decreasing, while dry is increasing • The new generation of researchers is data-driven • Research is increasingly team-based • The work of science is becoming more computational • How do we begin to re-think conventional lab environments to support computational work? TRADITIONAL LAB SPACE OTHER P R O GRAM TOTAL LAB BUILDING AREA OTHER P R O GRAM
  • 17. COMMON THEMES: WHAT'S THE DATA TELLING US? • Research is drying out • Utilization of wet labs is decreasing, while dry is increasing • The new generation of researchers is data-driven • Research is increasingly team-based • The work of science is becoming more computational • How do we begin to re-think conventional lab environments to support computational work? AVAILAB LE SPACE OTHER P R O GRAM TOTAL LAB BUILDING AREA L A B SPACEADJUSTEDFORDATA SCIE N CE
  • 18. COMMON THEMES: WHAT'S THE DATA TELLING US? • Research is drying out • Utilization of wet labs is decreasing, while dry is increasing • The new generation of researchers is data-driven • Research is increasingly team-based • The work of science is becoming more computational • How do we begin to re-think conventional lab environments to support computational work? AVAILAB LE SPACE OTHER P R O GRAM TOTAL LAB BUILDING AREA Whatdowedo with this space? L A B SPACEADJUSTEDFORDATA SCIE N CE
  • 19. Technology companies are not making their facilities smaller—they are using newly-available, “found” space for programs and uses that increase productivity, health and happiness.
  • 20. Tencent HQAmazon HQ Samsung HQ Gates Foundation HQ Gates Foundation HQ Samsung HQ Samsung HQ Recent NBBJ-designed technology company R&D facilities
  • 21. FIGHTING FOR THE DATA SCIENTIST Tech and life science companies are now battling for the same talent – data science is a rare blend of technical and creative skills that is in high demand in both industries. BIG DATA INSIGHT ALGORITHM DESIGN DATA SCIENTISTS
  • 22. RECRUITING DATA SCIENCE TALENT The most desirable skill is the ability to analyze and make sense of metadata.
  • 23. The NCI Genomic Data Commons at the University of Chicago Kenwood Data Center
  • 24. WHAT DO TECH COMPANIES PROVIDE TO ENTICE DATA SCIENCE TALENT? Tech companies understand that to recruit and retain the best data science and engineering talent, they need to provide an engaging work experience – one that also maximizes intellectual productivity and creativity. BRAND EXPRESSION PURPOSE / MISSION DRIVEN AMENITIES ACTIVITY-BASED WORKPLACE MOBILITY HUMAN PERFORMANCE
  • 25. Dr. John Medina A growing body of primary research shows the connnections between environmental design, neuroscience and behavior. Especially in research buildings — the “workplaces” of some of the smartest people in the world — planners and designers can now provide environments and experiences which optimize mental acuity and intellectual productivity. To push this further, NBBJ has engaged Dr. John Medina, a developmental molecular biologist and research consultant. He is an Affiliate Professor of Bioengineering at the University of Washington School of Medicine and an NBBJ Fellow.
  • 26.
  • 27. CONSIDERATIONS Empirical evidence does not exist for measuring productivity in work environments. The best organizations recognize that occupancy densities should be based on enabling positive outcomes. Dr. Salk wanted to embrace a diversity of scientific disciplines with no departments and allow for an unencumbered physical plan. QUIET & PRIVATE OPEN & PUBLIC FAMILIAR & NOVEL
  • 28. 6 KEY HUMAN PERFORMANCE DRIVERS PROSPECT/ REFUGE NEED FOR NATURE EXERCISE & AEROBICS CO2/OXYGEN LEVELS VISUAL INTEREST & ACUITY HUMAN INTERACTION
  • 29. PROSPECT/REFUGE Ngorongoro Crater Humans evolved in settings where they could survey the terrain for food — “prospect” — from a safe vantage point – “refuge.” Areas that provide a balance between prospect and refuge are where people experience the least stress and are therefore more free to think and ideate.
  • 30. 60% of lost workdays each year can be attributed to stress. Problems at work lead to more health complaints than any other stressor in the united states – even financial problems or family problems. We are most creative and productive when we feel safe, and our brains feel safest when we have a blend of prospect and refuge. Appleton, J. The Experience of Landscape. New Jersey: John Wiley & Sons Inc, 1975 In the United States, the cost of stress in the workplace – absenteeism, reduced productivity, sick leave, etc. – was an estimated $300 billion in 2010. Scott, S. C. "Visual Attributes Related to Preference in Interior Environments." Journal of Interior Design 18, no. 1–2 (1993): 7–16.
  • 31. This may look like a typical workplace, but the layout of huddle/collaboration rooms (at right) subscribe to the principle of prospect-refuge.
  • 32. SALK INSTITUTE The studio configuration and sizing/scale of the courtyard at the Salk Institute also follow these principles.
  • 33.
  • 35. 80% of the occupants near windows were highly satisfied with their environment, compared to 55% [satisfaction] occupying more interior spaces. Visual and auditory access to nature has a direct and measurable effect and reduces stress, which increases productivity and creativity. Laumann, K.T., and et al. "Selective Attention and Heart Rate Responses to Natural and Urban Environments." J Env Psych 23 (2003): 125–34. After moving into a new daylit space, companies report over 5% increase in productivity with a 25–28% increase in total product output. Ulrich, R.S. "Effects of Health Facility Interior Design on Wellness: Theory and Recent Scientific Research." J Health Care Des 3 (1991): 97–109.
  • 36. CIRCADIAN RHYTHM Our bodies have a master circadian clock that regulates behavioral rhythms over an approximate 24-hour period. Circadian entrainment (synchronization) occurs when photoreceptor cells in the eye’s retina sense light. These cells are of three types: rods, cones and ipRGCs. MELATONIN is a chemical substance that is activated in the absence of light and is suppressed when a certain amount of light is present. MELANOPSIN is a protein present in retinal ganglion cells (ipRGCs) that is activated by non- image forming responses. It is most sensitive to blue light Mid-day below grade Dusk at grade Salk Institute Salk Institute
  • 37. Sonos HQ, Boston From a neuroscience standpoint, access to nature does not need to be “real" — it can also be simulated, which produces similar positive neurological activity in the brain.
  • 39. On average office workers spend 76% of their day sitting and tend to underestimate their time sitting. Sitting for over 6 hours a day for a decade or two can cut away about 7 years of quality adjusted life (the kind you want).
  • 40. COGNITIVEBENEFIT COGNITIVE BENEFIT OF AEROBIC EXERCISE Aerobic exercise has been shown to boost executive function and buffer stress. To be effective, heart rate must be higher than average heart rate when walking. MINUTES PER WEEK From findings in: Tomporowski, P.D. "Effects of Acute Bouts of Exercise on Cognition." Acta Psychol (Amst) 112 (2003): 297-324. 150
  • 41. Amenities like fitness centers are not only “nice-to-haves,” but also have the added benefit of increasing one’s heart rate, thereby increasing cognition. Samsung AHQ | NBBJ
  • 42. Even amenities like foosball and table tennis benefit from this principle! Samsung AHQ | NBBJ
  • 44. One of the most interesting findings of the past few decades is that an increase in oxygen is always accompanied by an up-tick in mental sharpness. Doubling the air change rate to reduce CO2 levels, at a cost of $40/person, resulted in $6500 gain in productivity per person in an office environment. Allen JG, MacNaughton P, Satish U, Santanam S, Vallarino J, Spengler JD. 2016. "Associations of Cognitive Function Scores With Carbon Dioxide, Ventilation, and Volatile Organic Compound Exposures in Office Workers: A Controlled Exposure Study of Green and Conventional Office Environments." Environ Health Perspect 124:805–812.
  • 45. Amazon’s new headquarters in Seattle, currently under construction, includes an innovation center which leverages daylight and plant life to optimize space for creative collaboration. Amazon HQ | NBBJ
  • 46. Amazon HQ | NBBJ
  • 48. 30% of respondents who reported having a best friend at work were seven times more likely to be engaged at their jobs. J. Harter & T. Rath. (2010). Wellbeing: The Five Essential Elements. New York, NY: Gallup Press. Separating by more than 100' is equivalent to being in different buildings, if not different geographical locations. Even within this range, those nearest to one anothercommunicate more than those at a greater distance. Serendipitous group interactions boost productivity 25%. Lindsay, G. "Engineering Serendipity." New York Times. http://www.nytimes. com/2013/04/07/opinion/sunday/ engineering-serendipity.html?_r=0.
  • 49. By relocating participants so they were all working in the same area, informal communities of practice grew up around the various tasks involved in the process, and the time to complete it was cut from 17 days to 3 days. Research shows that if people have to walk more than 65' to see someone, they’ll send an email instead. If they’re close, they’ll walk to see each other and communicate in person.
  • 50. YOU CAN IDENTIFY HIGH-PERFORMING TEAMS BY COUNTING RELATIONSHIPS Scientific teams that have more dense networks of interaction achieve higher levels of productivity. TEAM A TEAM B Achieves more, innovates more AN INDIVIDUAL ARELATIONSHIP
  • 51. BUILDING LAYOUT CATALYZES SOCIAL NETWORKS The “Allen Curve” submits that physical distance plays an important role in how frequently we communicate with each other. Silo structure Many social links Not many interdisciplinary links CONCLUSION: Executors (aligned but not creative) COMMUNICATION PATTERNS IN TRADITIONAL LAB COMMUNICATION PATTERNS IN FLEXI LAB One team Many social links Many interdisciplinary links CONCLUSION: Innovators (aligned AND creative)
  • 53. VISUAL INTEREST / VISUAL ACUITY Amazon HQ | NBBJ
  • 54. Those employees at a workstation with partition heights above eye level on two sides are seen to be performing 11%–18% slower than those with all their partitions below eye level. Office workers were found to perform 10%–23% better on tests of mental function and memory recall when they had a view versus those with no view. When people look at something they find beautiful, a portion of the brain called the medial orbito-frontal cortex “lights up” with increased blood flow in this area. It is a near-universal response to beauty. In neuro imaging studies, “beautiful” paintings elicited increased activity in the orbito-frontal cortex, which is involved in emotion and reward. Interestingly, the “uglier” a painting, the greater the motor cortex activity, as if the brain was preparing to escape.
  • 55. PLACE VS. SPACE The visual environment has measurable statistics. The natural world is filled with contours where orientation is similar. Designers exploit these regular repeating structures (such as fractals). Ocean waves P. Mondrian “Composition” Salk Institute detail
  • 56.
  • 57.
  • 58. COMMON THEMES: WHAT'S THE DATA TELLING US? • Research is drying out • Utilization of wet labs is decreasing, while dry is increasing • The new generation of researchers is data-driven • Research is increasingly team-based • The work of science is becoming more computational • How do we begin to re-think conventional lab environments to support computational work? AVAILAB LE SPACE OTHER P R O GRAM TOTAL LAB BUILDING AREA Whatdowedo with this space? L A B SPACEADJUSTEDFORUTILIZAT IO N
  • 59. 6 KEY HUMAN PERFORMANCE DRIVERS PROSPECT/ REFUGE NEED FOR NATURE EXERCISE & AEROBICS CO2/OXYGEN LEVELS VISUAL INTEREST & ACUITY HUMAN INTERACTION
  • 60. PROSPECT-REFUGE Design the “in-between” space Brigham and Womens Hospital: Cafe is central to the “experience” of the BWH campus precinct when considered with the Pike The cafe is a place to see what’s going on (prospect) from a more intimate environment (refuge)
  • 61. NEED FOR NATURE & VISUAL ACUITY Add or simulate a view BWH Building for Transformative Medicine: Tower design is optimized for maximizing interior views and views outside This is a basement space!
  • 62. EXERCISE & OXYGEN LEVELS Provide amenities – or convenient access to them Stanford University Li Ka Shing Center: 4th Floor is student-only amenity floor with collaborative space, meeting areas, a fitness center and terrace
  • 63. HUMAN INTERACTION Apply activity-based solutions to ALL environments The Research Institute at Nationwide Children’s Hospital, Research Building III: Flexible team-based dry research space
  • 64. HOW CAN YOU DRIVE CHANGE WITHIN YOUR ORGANIZATION? 1. Building Advocacy: Proof at concept. New computational planning tools allow us to measure, prove and/or disprove whether planning solutions are actually producing the desired effects. The example here is an avatar-based software NBBJ designed for the Samsung AHQ project, which tracks visibility and even calories burned for users during a typical day. For one of the first times in our profession, we have proof of concept. We don’t have to wait until move-in to assess the performance of a particular planning or design solution.
  • 65. HOW CAN YOU DRIVE CHANGE WITHIN YOUR ORGANIZATION? 2. Funding: Broaden utilization studies. Consider including more space types in your utilization studies to get broader insights on where people are spending most of their time, given choice. This example integrates GIS technology, providing not only utilization data, but also information on the locations in space where people spend time.
  • 66. The “new” 25% of available space — that which can be optimized for human experience — is not expensive! Microsoft Learning Center | NBBJ
  • 67. HOW CAN YOU DRIVE CHANGE WITHIN YOUR ORGANIZATION? 3. Interdisciplinary Behavior: One size does NOT fit all! What works for one organization may not work for another. It is critically important to innovate solutions that uniquely connect mission, culture, space/place and behavior during the planning process.
  • 68. TRADELINE 3 01 Computation is changing the nature & process of research. Computation, large dataset analysis and robotics are changing the nature and processes of research. These changes have a direct impact on work modes, productivity and employee experience. 02 It’s not just about less space – it’s about healthier/ better experiences. We are gaining a better understanding of the relationships between space, behavior, health and productivity. We can now quantitatively measure qualitative aspects of experience and optimize planning/design of environments according to those measures/criteria. 03 Attracting the best data science talent requires designing a great human experience. A new model for the computational science workplace is needed – one that is grounded in experience design and enables healthy/productive environments.