SlideShare a Scribd company logo
1 of 16
The Future of Data Science @
UVA
Philip E. Bourne PhD, FACMI
Stephenson Chair of Data Science
Director, Data Science Institute
Professor of Biomedical Engineering
peb6a@virginia.edu
www.slideshare.net/pebourne
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
1
Points to Make Up Front
• Profound thanks to Don Brown, Arlyn Burgess,
Reggie Leonard, Cathy Anderson & Wanda
Sanford, the internal and external advisory
groups and the UVA administration for getting
us this far
• This is my 5th day on the job
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
2
Points to Make Up Front
• I am a realist – I have just come from the National
Institutes of Health a $32bn/yr federal agency
• While a computational biologist by training I am
cognizant of moving forward in a way that
benefits all disciplines across grounds
• At UCSD I was AVC for Innovation and Industrial
Alliances – I support strong ties between UVA,
public, private & government sectors
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
3
DSI Background
• History - Established in 2013 as the first across grounds initiative - a
unique confluence of computation, science, engineering, mathematics,
statistics, commerce, health sciences, social science, humanities, law, &
more
• Governance - Advised by external business and government partners &
internal faculty
• Research – Focus on differentiating research, scholarship and
infrastructure in data science across all 11 schools
• Education – ~50 MS students/yr in data science
• Infrastructure – Meeting specific hardware and software infrastructure
needs for data science
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
4
Adapted from Don Brown
DSI Research Today –
Grants
• Currently involves the DSI Director and/or DSI affiliated
faculty
• Examples:
– Precision Individualized Medicine for Diabetes -NIH/UVA
– The Creation of the Muhajirat in America: Social Media as a
Platform for Crafting Gender-Specific Interventions for the
Domestic Radicalization of Women - NIJ
– Biomedical Big Data - NIH
– Culturally Aware Asymmetric Threat Tracking - ARO/ARL
– Center for Visual and Decision Informatics - NSF
– Logistical Pathways To Critical Diversity in Organizational
Leadership - LMI
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
5
Adapted from Don Brown
DSI Research Today –
Presidential Fellows - Examples
• Evaluating the Effects of Social Relationships on Brain
Activities via High-Dimensional Differential Graphical
Models by Sara Medina-DeVilliers (Department of Clinical
Psychology), and Pan Xu (Department of Systems &
Information Engineering)
• Responsive Landscapes: Translating Environmental Data
into Land Management & Design by Stephanie Roe
(Environmental Sciences), and Bonnie-Kate Walker
(Architecture)
• Loneliness in an Age of Unprecedented Social Connection:
Using Data Analytics to Explore the Role of Social Media in
Bolstering or Impairing Well-Being by Yu Huang (Systems &
Information Engineering), Brandon Ng (Psychology), and
Adi Shakhed(Psychology)
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
6
Adapted from Don Brown
DSI Education Today –
MS in Data Science
• An integrated curriculum developed in
consultation with practicing data scientists that
builds progressively to a challenging capstone
experience
• Core courses in analytics and computation
• Capstone projects from a wide range of
disciplines, e.g., science, business, and health
• Practice: Distinguished guest lecturers, case
studies in practice, proposal and report writing,
and presentations
• Course in data ethics, law, and policy
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
7
Adapted from Don Brown
Going Forward….
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
8
Timeline
• Define goals – End of June 2017
• Develop 5 year strategic plan – End of 2017
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
9
Identified Overarching Objectives
• Catalyze an open scholarship environment of
which data/analytics are a key part
• Catalyze interdisciplinary research with a data
science focus
• Be better identified nationally and internationally
• Move UVA more towards a data driven enterprise
• Expand workforce training programs
• Build upon the public-private foundation
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
10
Catalyze an Open Scholarship
Environment
• Model after the Human Genome Project
– $1bn federal investment - $140bn return to private
sector thus far
• Establish a data/analytics commons
• Abide by the FAIR principles
• Seek social change
– Data sharing
– Data-knowledge integration
– Preprints / OA publishing
– Recognize openness as a rewardable characteristic
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
11
Catalyze Interdisciplinary Research
• Joint faculty hires between schools and DSI –
4/yr for 5 years; 2 @ 50% DSI commitment; 2
@ 25% commitment
• Tiger team members 2-4 per year supported
for 2 years
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
12
Move UVA Towards a Data Driven
Enterprise
• Need to eat our own dog food
– Research data, administrative data, educational
data not integrated. Examples:
• Improve the health and wellbeing of students
• Leverage failed grants
• Interface with the private sector
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
13
Expand Educational/training Programs
– Further solidify the MS Data Science Program
– Establish an MSDS/MBA and MSDS/nursing
– Establish an on-line presence in data science
– Support the private sector
• Bootcamps
• Certificate programs
– Support the public
• Hackathons
• Crowdsourced activities
– Establish a cross disciplinary PhD program
– Review the need for an undergraduate minor
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
14
Build Upon the Public-Private -
Government Foundation
• Continue to host the Governor’s Data
Analytics Summit
• Continue and expand the capstone projects
with the private sector
• Establish a data science incubator
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
15
Questions For Us All
• How to inspire alumni to partner with us?
– Capstone projects and certificate programs are
happening what else?
• How to engage global partners?
– Have inroads into CZI, BMGF, Sloan, Moore, EOSC, but
need to build a more formal network around data
• What other educational initiatives do we need to
meet your workforce needs?
5/5/17
UVA Engineering Foundation Board of
Trustees Meeting
16

More Related Content

What's hot

Benefits of Open Data and Policy Developments, perspectives from research ins...
Benefits of Open Data and Policy Developments, perspectives from research ins...Benefits of Open Data and Policy Developments, perspectives from research ins...
Benefits of Open Data and Policy Developments, perspectives from research ins...Academy of Science of South Africa (ASSAf)
 
Immersive informatics - research data management at Pitt iSchool and Carnegie...
Immersive informatics - research data management at Pitt iSchool and Carnegie...Immersive informatics - research data management at Pitt iSchool and Carnegie...
Immersive informatics - research data management at Pitt iSchool and Carnegie...Keith Webster
 
Without data, science is merely an opinion: African Open Science Platform/Ina...
Without data, science is merely an opinion: African Open Science Platform/Ina...Without data, science is merely an opinion: African Open Science Platform/Ina...
Without data, science is merely an opinion: African Open Science Platform/Ina...African Open Science Platform
 
Data to Advance Sustainability
Data to Advance SustainabilityData to Advance Sustainability
Data to Advance SustainabilityPhilip Bourne
 
Open science and data sharing: the DataFirst experience/Martin Wittenberg
Open science and data sharing: the DataFirst experience/Martin WittenbergOpen science and data sharing: the DataFirst experience/Martin Wittenberg
Open science and data sharing: the DataFirst experience/Martin WittenbergAfrican Open Science Platform
 
Are Funders and Academic Institutions Approaches to Data Science Aligned
Are Funders and Academic Institutions Approaches to Data Science AlignedAre Funders and Academic Institutions Approaches to Data Science Aligned
Are Funders and Academic Institutions Approaches to Data Science AlignedPhilip Bourne
 
Where is Open Going?
Where is Open Going?Where is Open Going?
Where is Open Going?Philip Bourne
 
From Where Have We Come & Where Are We Going
From Where Have We Come & Where Are We GoingFrom Where Have We Come & Where Are We Going
From Where Have We Come & Where Are We GoingPhilip Bourne
 
Big Data and its Role in Biomedical Research
Big Data and its Role in Biomedical ResearchBig Data and its Role in Biomedical Research
Big Data and its Role in Biomedical ResearchPhilip Bourne
 
Research metrics and indicators
Research metrics and indicatorsResearch metrics and indicators
Research metrics and indicatorsJisc
 
PEI Research Initiative
PEI Research InitiativePEI Research Initiative
PEI Research InitiativeISSDA
 
Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Philip Bourne
 
What are metrics good for? Reflections on REF and TEF
What are metrics good for? Reflections on REF and TEFWhat are metrics good for? Reflections on REF and TEF
What are metrics good for? Reflections on REF and TEFDorothy Bishop
 
Where to from here? Identifying training and professional development needs o...
Where to from here? Identifying training and professional development needs o...Where to from here? Identifying training and professional development needs o...
Where to from here? Identifying training and professional development needs o...Danny Kingsley
 
Open Access policies at Australian universities
Open Access policies at Australian universitiesOpen Access policies at Australian universities
Open Access policies at Australian universitiesDanny Kingsley
 
Putting Research Data into Context: A Scholarly Approach to Curating Data for...
Putting Research Data into Context: A Scholarly Approach to Curating Data for...Putting Research Data into Context: A Scholarly Approach to Curating Data for...
Putting Research Data into Context: A Scholarly Approach to Curating Data for...OCLC
 
Responsible metrics for research - Jisc Digifest 2016
Responsible metrics for research - Jisc Digifest 2016Responsible metrics for research - Jisc Digifest 2016
Responsible metrics for research - Jisc Digifest 2016Jisc
 

What's hot (20)

Benefits of Open Data and Policy Developments, perspectives from research ins...
Benefits of Open Data and Policy Developments, perspectives from research ins...Benefits of Open Data and Policy Developments, perspectives from research ins...
Benefits of Open Data and Policy Developments, perspectives from research ins...
 
Immersive informatics - research data management at Pitt iSchool and Carnegie...
Immersive informatics - research data management at Pitt iSchool and Carnegie...Immersive informatics - research data management at Pitt iSchool and Carnegie...
Immersive informatics - research data management at Pitt iSchool and Carnegie...
 
Without data, science is merely an opinion: African Open Science Platform/Ina...
Without data, science is merely an opinion: African Open Science Platform/Ina...Without data, science is merely an opinion: African Open Science Platform/Ina...
Without data, science is merely an opinion: African Open Science Platform/Ina...
 
Data to Advance Sustainability
Data to Advance SustainabilityData to Advance Sustainability
Data to Advance Sustainability
 
Open science and data sharing: the DataFirst experience/Martin Wittenberg
Open science and data sharing: the DataFirst experience/Martin WittenbergOpen science and data sharing: the DataFirst experience/Martin Wittenberg
Open science and data sharing: the DataFirst experience/Martin Wittenberg
 
Are Funders and Academic Institutions Approaches to Data Science Aligned
Are Funders and Academic Institutions Approaches to Data Science AlignedAre Funders and Academic Institutions Approaches to Data Science Aligned
Are Funders and Academic Institutions Approaches to Data Science Aligned
 
Where is Open Going?
Where is Open Going?Where is Open Going?
Where is Open Going?
 
The African Open Science Platform/Geoffrey Boulton
The African Open Science Platform/Geoffrey BoultonThe African Open Science Platform/Geoffrey Boulton
The African Open Science Platform/Geoffrey Boulton
 
From Where Have We Come & Where Are We Going
From Where Have We Come & Where Are We GoingFrom Where Have We Come & Where Are We Going
From Where Have We Come & Where Are We Going
 
Big Data and its Role in Biomedical Research
Big Data and its Role in Biomedical ResearchBig Data and its Role in Biomedical Research
Big Data and its Role in Biomedical Research
 
Research metrics and indicators
Research metrics and indicatorsResearch metrics and indicators
Research metrics and indicators
 
PEI Research Initiative
PEI Research InitiativePEI Research Initiative
PEI Research Initiative
 
Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?
 
What are metrics good for? Reflections on REF and TEF
What are metrics good for? Reflections on REF and TEFWhat are metrics good for? Reflections on REF and TEF
What are metrics good for? Reflections on REF and TEF
 
Where to from here? Identifying training and professional development needs o...
Where to from here? Identifying training and professional development needs o...Where to from here? Identifying training and professional development needs o...
Where to from here? Identifying training and professional development needs o...
 
Data education and skills initiatives
Data education and skills initiativesData education and skills initiatives
Data education and skills initiatives
 
Open Access policies at Australian universities
Open Access policies at Australian universitiesOpen Access policies at Australian universities
Open Access policies at Australian universities
 
Broadbent Rozum Creating a Culture of Compliance
Broadbent Rozum Creating a Culture of ComplianceBroadbent Rozum Creating a Culture of Compliance
Broadbent Rozum Creating a Culture of Compliance
 
Putting Research Data into Context: A Scholarly Approach to Curating Data for...
Putting Research Data into Context: A Scholarly Approach to Curating Data for...Putting Research Data into Context: A Scholarly Approach to Curating Data for...
Putting Research Data into Context: A Scholarly Approach to Curating Data for...
 
Responsible metrics for research - Jisc Digifest 2016
Responsible metrics for research - Jisc Digifest 2016Responsible metrics for research - Jisc Digifest 2016
Responsible metrics for research - Jisc Digifest 2016
 

Similar to The Future of Data Science @ UVA

Towards Biomedical Research as a Digital Enterprise
Towards Biomedical Research as a Digital EnterpriseTowards Biomedical Research as a Digital Enterprise
Towards Biomedical Research as a Digital EnterprisePhilip Bourne
 
Data Management Plan Advising? A New Business Venture for Libraries
Data Management Plan Advising?  A New Business Venture for LibrariesData Management Plan Advising?  A New Business Venture for Libraries
Data Management Plan Advising? A New Business Venture for LibrariesAndrew Sallans
 
Small grants, big opportunities: Using the small grants mechanism to build l...
Small grants, big opportunities: Using the small grants mechanism  to build l...Small grants, big opportunities: Using the small grants mechanism  to build l...
Small grants, big opportunities: Using the small grants mechanism to build l...MEASURE Evaluation
 
Practical Applications of e-Science
Practical Applications of e-SciencePractical Applications of e-Science
Practical Applications of e-ScienceAndrew Sallans
 
The Thinking Behind Big Data at the NIH
The Thinking Behind Big Data at the NIHThe Thinking Behind Big Data at the NIH
The Thinking Behind Big Data at the NIHPhilip Bourne
 
Workshop intro090314
Workshop intro090314Workshop intro090314
Workshop intro090314Philip Bourne
 
ICPSR Workshop Template - 2012/13
ICPSR Workshop Template - 2012/13ICPSR Workshop Template - 2012/13
ICPSR Workshop Template - 2012/13ICPSR
 
Incentives for modern research
Incentives for modern researchIncentives for modern research
Incentives for modern researchJisc
 
What Can Happen when Genome Sciences Meets Data Sciences?
What Can Happen when Genome Sciences Meets Data Sciences?What Can Happen when Genome Sciences Meets Data Sciences?
What Can Happen when Genome Sciences Meets Data Sciences?Philip Bourne
 
Re tooling for data management-support
Re tooling for data management-supportRe tooling for data management-support
Re tooling for data management-supportSherry Lake
 
2-6-14 ESI Supplemental Webinar: The Data Information Literacy Project
2-6-14 ESI Supplemental Webinar: The Data Information  Literacy Project2-6-14 ESI Supplemental Webinar: The Data Information  Literacy Project
2-6-14 ESI Supplemental Webinar: The Data Information Literacy ProjectDuraSpace
 
PSB2014 A Vision for Biomedical Research
PSB2014 A Vision for Biomedical ResearchPSB2014 A Vision for Biomedical Research
PSB2014 A Vision for Biomedical ResearchPhilip Bourne
 
Incentivizing data sharing: a "bottom up" perspective/Louise Bezuidenhout
Incentivizing data sharing: a "bottom up" perspective/Louise BezuidenhoutIncentivizing data sharing: a "bottom up" perspective/Louise Bezuidenhout
Incentivizing data sharing: a "bottom up" perspective/Louise BezuidenhoutAfrican Open Science Platform
 
Research Data Management: Part 1, Principles & Responsibilities
Research Data Management: Part 1, Principles & ResponsibilitiesResearch Data Management: Part 1, Principles & Responsibilities
Research Data Management: Part 1, Principles & ResponsibilitiesAmyLN
 
Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Robin Rice
 

Similar to The Future of Data Science @ UVA (20)

Towards Biomedical Research as a Digital Enterprise
Towards Biomedical Research as a Digital EnterpriseTowards Biomedical Research as a Digital Enterprise
Towards Biomedical Research as a Digital Enterprise
 
Data Management Plan Advising? A New Business Venture for Libraries
Data Management Plan Advising?  A New Business Venture for LibrariesData Management Plan Advising?  A New Business Venture for Libraries
Data Management Plan Advising? A New Business Venture for Libraries
 
Small grants, big opportunities: Using the small grants mechanism to build l...
Small grants, big opportunities: Using the small grants mechanism  to build l...Small grants, big opportunities: Using the small grants mechanism  to build l...
Small grants, big opportunities: Using the small grants mechanism to build l...
 
Practical Applications of e-Science
Practical Applications of e-SciencePractical Applications of e-Science
Practical Applications of e-Science
 
The Thinking Behind Big Data at the NIH
The Thinking Behind Big Data at the NIHThe Thinking Behind Big Data at the NIH
The Thinking Behind Big Data at the NIH
 
Workshop intro090314
Workshop intro090314Workshop intro090314
Workshop intro090314
 
ICPSR Workshop Template - 2012/13
ICPSR Workshop Template - 2012/13ICPSR Workshop Template - 2012/13
ICPSR Workshop Template - 2012/13
 
Open data publishing and incentives/Susan Veldsman
Open data publishing and incentives/Susan VeldsmanOpen data publishing and incentives/Susan Veldsman
Open data publishing and incentives/Susan Veldsman
 
Incentives for modern research
Incentives for modern researchIncentives for modern research
Incentives for modern research
 
What Can Happen when Genome Sciences Meets Data Sciences?
What Can Happen when Genome Sciences Meets Data Sciences?What Can Happen when Genome Sciences Meets Data Sciences?
What Can Happen when Genome Sciences Meets Data Sciences?
 
Re tooling for data management-support
Re tooling for data management-supportRe tooling for data management-support
Re tooling for data management-support
 
Critical infrastructure to promote data synthesis
Critical infrastructure to promote data synthesis Critical infrastructure to promote data synthesis
Critical infrastructure to promote data synthesis
 
AMIA 2014
AMIA 2014AMIA 2014
AMIA 2014
 
Yale Day of Data
Yale Day of Data Yale Day of Data
Yale Day of Data
 
2-6-14 ESI Supplemental Webinar: The Data Information Literacy Project
2-6-14 ESI Supplemental Webinar: The Data Information  Literacy Project2-6-14 ESI Supplemental Webinar: The Data Information  Literacy Project
2-6-14 ESI Supplemental Webinar: The Data Information Literacy Project
 
PSB2014 A Vision for Biomedical Research
PSB2014 A Vision for Biomedical ResearchPSB2014 A Vision for Biomedical Research
PSB2014 A Vision for Biomedical Research
 
Incentivizing data sharing: a "bottom up" perspective/Louise Bezuidenhout
Incentivizing data sharing: a "bottom up" perspective/Louise BezuidenhoutIncentivizing data sharing: a "bottom up" perspective/Louise Bezuidenhout
Incentivizing data sharing: a "bottom up" perspective/Louise Bezuidenhout
 
Data at the NIH
Data at the NIHData at the NIH
Data at the NIH
 
Research Data Management: Part 1, Principles & Responsibilities
Research Data Management: Part 1, Principles & ResponsibilitiesResearch Data Management: Part 1, Principles & Responsibilities
Research Data Management: Part 1, Principles & Responsibilities
 
Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...
 

More from Philip Bourne

Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedPhilip Bourne
 
Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedPhilip Bourne
 
AI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationAI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationPhilip Bourne
 
AI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingAI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingPhilip Bourne
 
Thoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityThoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityPhilip Bourne
 
What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?Philip Bourne
 
Data Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangeData Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangePhilip Bourne
 
Data Science Meets Drug Discovery
Data Science Meets Drug DiscoveryData Science Meets Drug Discovery
Data Science Meets Drug DiscoveryPhilip Bourne
 
Biomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AloneBiomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AlonePhilip Bourne
 
BIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchBIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchPhilip Bourne
 
AI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data ScienceAI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data SciencePhilip Bourne
 
What Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewWhat Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewPhilip Bourne
 
Novo Nordisk 080522.pptx
Novo Nordisk 080522.pptxNovo Nordisk 080522.pptx
Novo Nordisk 080522.pptxPhilip Bourne
 
Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Philip Bourne
 
COVID and Precision Education
COVID and Precision EducationCOVID and Precision Education
COVID and Precision EducationPhilip Bourne
 
One View of Data Science
One View of Data ScienceOne View of Data Science
One View of Data SciencePhilip Bourne
 
Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Philip Bourne
 
Frontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesFrontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesPhilip Bourne
 
Social Responsibility in Research
Social Responsibility in ResearchSocial Responsibility in Research
Social Responsibility in ResearchPhilip Bourne
 
SWOT Analysis - What Does it Tell Us?
SWOT Analysis - What Does it Tell Us?SWOT Analysis - What Does it Tell Us?
SWOT Analysis - What Does it Tell Us?Philip Bourne
 

More from Philip Bourne (20)

Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has Changed
 
Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has Changed
 
AI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationAI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a Conversation
 
AI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingAI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We Going
 
Thoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityThoughts on Biological Data Sustainability
Thoughts on Biological Data Sustainability
 
What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?
 
Data Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangeData Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything Change
 
Data Science Meets Drug Discovery
Data Science Meets Drug DiscoveryData Science Meets Drug Discovery
Data Science Meets Drug Discovery
 
Biomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AloneBiomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not Alone
 
BIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchBIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in Research
 
AI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data ScienceAI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data Science
 
What Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewWhat Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's View
 
Novo Nordisk 080522.pptx
Novo Nordisk 080522.pptxNovo Nordisk 080522.pptx
Novo Nordisk 080522.pptx
 
Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)
 
COVID and Precision Education
COVID and Precision EducationCOVID and Precision Education
COVID and Precision Education
 
One View of Data Science
One View of Data ScienceOne View of Data Science
One View of Data Science
 
Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?
 
Frontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesFrontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular Scales
 
Social Responsibility in Research
Social Responsibility in ResearchSocial Responsibility in Research
Social Responsibility in Research
 
SWOT Analysis - What Does it Tell Us?
SWOT Analysis - What Does it Tell Us?SWOT Analysis - What Does it Tell Us?
SWOT Analysis - What Does it Tell Us?
 

Recently uploaded

Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsKarinaGenton
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 

Recently uploaded (20)

Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its Characteristics
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 

The Future of Data Science @ UVA

  • 1. The Future of Data Science @ UVA Philip E. Bourne PhD, FACMI Stephenson Chair of Data Science Director, Data Science Institute Professor of Biomedical Engineering peb6a@virginia.edu www.slideshare.net/pebourne 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 1
  • 2. Points to Make Up Front • Profound thanks to Don Brown, Arlyn Burgess, Reggie Leonard, Cathy Anderson & Wanda Sanford, the internal and external advisory groups and the UVA administration for getting us this far • This is my 5th day on the job 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 2
  • 3. Points to Make Up Front • I am a realist – I have just come from the National Institutes of Health a $32bn/yr federal agency • While a computational biologist by training I am cognizant of moving forward in a way that benefits all disciplines across grounds • At UCSD I was AVC for Innovation and Industrial Alliances – I support strong ties between UVA, public, private & government sectors 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 3
  • 4. DSI Background • History - Established in 2013 as the first across grounds initiative - a unique confluence of computation, science, engineering, mathematics, statistics, commerce, health sciences, social science, humanities, law, & more • Governance - Advised by external business and government partners & internal faculty • Research – Focus on differentiating research, scholarship and infrastructure in data science across all 11 schools • Education – ~50 MS students/yr in data science • Infrastructure – Meeting specific hardware and software infrastructure needs for data science 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 4 Adapted from Don Brown
  • 5. DSI Research Today – Grants • Currently involves the DSI Director and/or DSI affiliated faculty • Examples: – Precision Individualized Medicine for Diabetes -NIH/UVA – The Creation of the Muhajirat in America: Social Media as a Platform for Crafting Gender-Specific Interventions for the Domestic Radicalization of Women - NIJ – Biomedical Big Data - NIH – Culturally Aware Asymmetric Threat Tracking - ARO/ARL – Center for Visual and Decision Informatics - NSF – Logistical Pathways To Critical Diversity in Organizational Leadership - LMI 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 5 Adapted from Don Brown
  • 6. DSI Research Today – Presidential Fellows - Examples • Evaluating the Effects of Social Relationships on Brain Activities via High-Dimensional Differential Graphical Models by Sara Medina-DeVilliers (Department of Clinical Psychology), and Pan Xu (Department of Systems & Information Engineering) • Responsive Landscapes: Translating Environmental Data into Land Management & Design by Stephanie Roe (Environmental Sciences), and Bonnie-Kate Walker (Architecture) • Loneliness in an Age of Unprecedented Social Connection: Using Data Analytics to Explore the Role of Social Media in Bolstering or Impairing Well-Being by Yu Huang (Systems & Information Engineering), Brandon Ng (Psychology), and Adi Shakhed(Psychology) 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 6 Adapted from Don Brown
  • 7. DSI Education Today – MS in Data Science • An integrated curriculum developed in consultation with practicing data scientists that builds progressively to a challenging capstone experience • Core courses in analytics and computation • Capstone projects from a wide range of disciplines, e.g., science, business, and health • Practice: Distinguished guest lecturers, case studies in practice, proposal and report writing, and presentations • Course in data ethics, law, and policy 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 7 Adapted from Don Brown
  • 8. Going Forward…. 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 8
  • 9. Timeline • Define goals – End of June 2017 • Develop 5 year strategic plan – End of 2017 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 9
  • 10. Identified Overarching Objectives • Catalyze an open scholarship environment of which data/analytics are a key part • Catalyze interdisciplinary research with a data science focus • Be better identified nationally and internationally • Move UVA more towards a data driven enterprise • Expand workforce training programs • Build upon the public-private foundation 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 10
  • 11. Catalyze an Open Scholarship Environment • Model after the Human Genome Project – $1bn federal investment - $140bn return to private sector thus far • Establish a data/analytics commons • Abide by the FAIR principles • Seek social change – Data sharing – Data-knowledge integration – Preprints / OA publishing – Recognize openness as a rewardable characteristic 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 11
  • 12. Catalyze Interdisciplinary Research • Joint faculty hires between schools and DSI – 4/yr for 5 years; 2 @ 50% DSI commitment; 2 @ 25% commitment • Tiger team members 2-4 per year supported for 2 years 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 12
  • 13. Move UVA Towards a Data Driven Enterprise • Need to eat our own dog food – Research data, administrative data, educational data not integrated. Examples: • Improve the health and wellbeing of students • Leverage failed grants • Interface with the private sector 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 13
  • 14. Expand Educational/training Programs – Further solidify the MS Data Science Program – Establish an MSDS/MBA and MSDS/nursing – Establish an on-line presence in data science – Support the private sector • Bootcamps • Certificate programs – Support the public • Hackathons • Crowdsourced activities – Establish a cross disciplinary PhD program – Review the need for an undergraduate minor 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 14
  • 15. Build Upon the Public-Private - Government Foundation • Continue to host the Governor’s Data Analytics Summit • Continue and expand the capstone projects with the private sector • Establish a data science incubator 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 15
  • 16. Questions For Us All • How to inspire alumni to partner with us? – Capstone projects and certificate programs are happening what else? • How to engage global partners? – Have inroads into CZI, BMGF, Sloan, Moore, EOSC, but need to build a more formal network around data • What other educational initiatives do we need to meet your workforce needs? 5/5/17 UVA Engineering Foundation Board of Trustees Meeting 16