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At the Center of
Academic Innovation:
Two Examples from UCLA
9 August 2017• UCCSC 2017 @ UCSD
Better	results	with	greater	diversity	in	
the	innovation	discussion
• 2012 Presidential election. Obama re-
elected in part thanks to social media-
based engagement strategies. IT at the
table!
• Research shows that military strategies
are improved when women are at the
table.
2
Some	context
• What is the Center for Digital Humanities
(CDH)?
• Who is Annelie?
• Academic innovation: What is CDH’s role?
• Why am I talking about this topic?
• So what?
3
What	is	this	really	about?
• Changing the culture around who should be
involved in academic innovations, and when.
• Driving awareness of the value of tech expertise
in designing and shaping, not just executing and
deploying.
• Bringing tech expertise sooner into academic
innovation processes– before decisions are
made!
• Doing academic innovation better.
4
Challenges:	What	stops	IT	from	being	at	
the	center	of	academic	innovation?
• Perception of IT as not “academic”
• Perception of IT as not understanding academia
• Perception of IT as responsive (= reactive)
• Perception of IT as tool or “utility”
• Perception that IT doesn’t/can’t “speak
academic”
• IT is not at the table where academic ideas are
shaped and decisions are being made!
5
Opportunities:	It’s	time	for	IT	to	inform/shape	
academic	innovation
• UC IT leadership recognizes this is needed
– UC IT Leadership Academy: be in the conversation!
• IT is everyday in most academic lives: visibility,
usefulness à acceptance, familiarity
• Academic job market includes ’alt-ac’ job seekers with
academic + tech creds
– ‘Bilingual’ IT staff who speak academic and tech
• Pace of tech change requires thinking ahead, not
designing for the now.
• Decisions are better with diverse inputs – tech needs to
be one of those perspectives!
6
How	to	be	invited	to	the	academic	
innovation	conversation?
• Strategy: Become indispensable to decision-making
– Be excellent; “Pockets of Excellence”
– Bring a perspective that is valued
• Let them know the value IT brings and has brought
• Let them know what you see in the future that should inform today’s and
future decisions
• Tactics: Mix it up with academics
– Be present in academic discussions and communities:
faculty/Chairs/dean’s meetings, academic issues forums
(research, funding, pedagogy, enrollment), even lectures!
– If you’re not invited, create communities for academic
discussion and invite the academics!
7
Two	examples	from	UCLA
1. Digital Humanities Infrastructure
Symposium (DHIS).
http://www.cdh.ucla.edu/symposium/
2. Scholarly Innovation Lab (SIL).
http://www.cdh.ucla.edu/research/scholarl
y-innovation-lab/
8
DH	Infrastructure	Symposium	(DHIS)
• A gathering of anyone involved in DH to share
how DH is done, focusing on the human and
technical “infrastructure” that makes DH
possible.
• In 2016: a one-day series of presentations and
demos.
• In 2017: a second half-day set of workshops
added to the initial day of presentations.
• In 2018: switching workshops to precede the
presentations.
9
DH	Infrastructure	Symposium	(DHIS)
• Why? Fills an unmet need for both techs
and academics to understand how DH
research and teaching “gets done”.
• What? 1+ days. Presentations, demos by
techs, academics, techs+academics.
• Who? Anyone who “does DH” and wants
to do it better. Techs, librarians, data
experts, faculty and grads.
10
DH	Infrastructure	Symposium	(DHIS)	=	
Info-sharing	around	innovation
• Community:discovery, knowledge, networking
• Shared value
• Shared authority
• Techs and academics are talking, understanding
one another!
• Not an academic conference. Not an IT
conference. It’s about doing the work!
• DH is inherently collaborative, with mutual
dependency of techs and academics
11
Scholarly	Innovation	Lab	(SIL)
• A dedicated collaboration space for anyone
doing or interested in doing digital research.
• A resident technologist works in the space and
ensures that others can work there.
– Note: Tech expertise, NOT tech support
• It’s no one’s space; it’s everyone’s space!
• Discovery and collaboration happen as an
organic result of being together in the space.
– Some planned, much unplanned
12
Scholarly	Innovation	Lab	(SIL)
• Why? Fills an unmet need for techs and
academics. “Neutral” territory in the Library.
Shared purpose is digital research.
• What? Three connected spaces for
presentation, project teamwork, individual and
small-group work. Variety of furniture, tech-
ready, screen sharing, no permanent desks.
• Who? Technologists, librarians, faculty, grads,
undergrads = The entire university cosmos!
13
Scholarly	Innovation	Lab	(SIL)	=	Home	base
• Community: visible, open, welcoming.
• Shared value
• Shared authority
• Techs and academics are talking, understanding
one another!
• Not an academic space. Not an IT space. It’s
about doing the work (or learning how to do it)!
• Digital research is inherently collaborative, with
mutual dependency of techs and academics
14
So	what?
• What difference has this made? Are we in
the right conversations at the right time?
• Is it worth the extra effort?
• Lessons learned:
– What we will continue
– What we might change
15
What	difference	has	this	made?
• Community
• Shared value
• Techs and academics are talking, understanding one
another!
• Connections: Practitioners are finding the expertise
they need more quickly
• Results: The teaching, research and technical
projects are better.
– Example: “Paris: Past & Present” (Prof. Meredith Cohen)
• Culture change: Academics are seeing the value of
tech expertise in shaping academic innovation
16
Are	we	(IT)	in	the	academic	
conversations,	at	the	right	time?
YES! In conversations about…
• Digital projects: Faculty, grads are consulting
with tech staff as they propose new projects.
• Library strategic planning: Technologists are
involved in work groups and the planning
process.
• UCLA campus-wide planning for research
needs: Academic leaders are consulting IT.
17
Is	it	worth	the	effort?
YES!
• Investments: Courage, initiative, time, space,
time, a little furniture and tech, time.
• Returns:
– Academic participants: Familiarity/comfort,
acceptance, respect, awareness, recognition.
– Technologists: In the mix, peer relationships,
demonstrated value.
18
Lessons	learned:	What	we	will	continue
• Hosting spaces and events that meet mutual
needs
• Focus on community: sharing time, space and
information around academic pursuits
• Focus on diversity of expertise, ‘the mix’
• Minimal administration
• Zero organizational boundaries
• Growing just enough: to meet extant need and
ability to sustain
19
Lessons	learned:	What	we	might	change
1. Documenting the successes
1. Project stories
2. Data showing change: who, how many are
participating
2. Informing academic leadership of the
successes
3. Next: Figuring out how we translate our value
beyond tech-hosted communities back into
academic-hosted communities?
20
From	this	morning’s	keynote
Climate	Accelerators:	An	Approach	to	Changing	Enterprise	Culture,	Wendy	Campana (UCSD)
• Elements of Leadership Team Building:
– Develop trust
– Mutual respect
– Listen to each other
– Meet face-to-face
– …
Maybe what we are talking about is a better
(more inclusive) kind of teambuilding for
innovation!
21
Thoughts?
Annelie Rugg, Humanities CIO
UCLA Center for Digital Humanities
annelie@humnet.ucla.edu
Twitter: @annelierugg
LinkedIn: annelierugg
310-903-7691
22

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At the Center of Academic Innovation: Two Examples from UCLA

  • 1. At the Center of Academic Innovation: Two Examples from UCLA 9 August 2017• UCCSC 2017 @ UCSD
  • 2. Better results with greater diversity in the innovation discussion • 2012 Presidential election. Obama re- elected in part thanks to social media- based engagement strategies. IT at the table! • Research shows that military strategies are improved when women are at the table. 2
  • 3. Some context • What is the Center for Digital Humanities (CDH)? • Who is Annelie? • Academic innovation: What is CDH’s role? • Why am I talking about this topic? • So what? 3
  • 4. What is this really about? • Changing the culture around who should be involved in academic innovations, and when. • Driving awareness of the value of tech expertise in designing and shaping, not just executing and deploying. • Bringing tech expertise sooner into academic innovation processes– before decisions are made! • Doing academic innovation better. 4
  • 5. Challenges: What stops IT from being at the center of academic innovation? • Perception of IT as not “academic” • Perception of IT as not understanding academia • Perception of IT as responsive (= reactive) • Perception of IT as tool or “utility” • Perception that IT doesn’t/can’t “speak academic” • IT is not at the table where academic ideas are shaped and decisions are being made! 5
  • 6. Opportunities: It’s time for IT to inform/shape academic innovation • UC IT leadership recognizes this is needed – UC IT Leadership Academy: be in the conversation! • IT is everyday in most academic lives: visibility, usefulness à acceptance, familiarity • Academic job market includes ’alt-ac’ job seekers with academic + tech creds – ‘Bilingual’ IT staff who speak academic and tech • Pace of tech change requires thinking ahead, not designing for the now. • Decisions are better with diverse inputs – tech needs to be one of those perspectives! 6
  • 7. How to be invited to the academic innovation conversation? • Strategy: Become indispensable to decision-making – Be excellent; “Pockets of Excellence” – Bring a perspective that is valued • Let them know the value IT brings and has brought • Let them know what you see in the future that should inform today’s and future decisions • Tactics: Mix it up with academics – Be present in academic discussions and communities: faculty/Chairs/dean’s meetings, academic issues forums (research, funding, pedagogy, enrollment), even lectures! – If you’re not invited, create communities for academic discussion and invite the academics! 7
  • 8. Two examples from UCLA 1. Digital Humanities Infrastructure Symposium (DHIS). http://www.cdh.ucla.edu/symposium/ 2. Scholarly Innovation Lab (SIL). http://www.cdh.ucla.edu/research/scholarl y-innovation-lab/ 8
  • 9. DH Infrastructure Symposium (DHIS) • A gathering of anyone involved in DH to share how DH is done, focusing on the human and technical “infrastructure” that makes DH possible. • In 2016: a one-day series of presentations and demos. • In 2017: a second half-day set of workshops added to the initial day of presentations. • In 2018: switching workshops to precede the presentations. 9
  • 10. DH Infrastructure Symposium (DHIS) • Why? Fills an unmet need for both techs and academics to understand how DH research and teaching “gets done”. • What? 1+ days. Presentations, demos by techs, academics, techs+academics. • Who? Anyone who “does DH” and wants to do it better. Techs, librarians, data experts, faculty and grads. 10
  • 11. DH Infrastructure Symposium (DHIS) = Info-sharing around innovation • Community:discovery, knowledge, networking • Shared value • Shared authority • Techs and academics are talking, understanding one another! • Not an academic conference. Not an IT conference. It’s about doing the work! • DH is inherently collaborative, with mutual dependency of techs and academics 11
  • 12. Scholarly Innovation Lab (SIL) • A dedicated collaboration space for anyone doing or interested in doing digital research. • A resident technologist works in the space and ensures that others can work there. – Note: Tech expertise, NOT tech support • It’s no one’s space; it’s everyone’s space! • Discovery and collaboration happen as an organic result of being together in the space. – Some planned, much unplanned 12
  • 13. Scholarly Innovation Lab (SIL) • Why? Fills an unmet need for techs and academics. “Neutral” territory in the Library. Shared purpose is digital research. • What? Three connected spaces for presentation, project teamwork, individual and small-group work. Variety of furniture, tech- ready, screen sharing, no permanent desks. • Who? Technologists, librarians, faculty, grads, undergrads = The entire university cosmos! 13
  • 14. Scholarly Innovation Lab (SIL) = Home base • Community: visible, open, welcoming. • Shared value • Shared authority • Techs and academics are talking, understanding one another! • Not an academic space. Not an IT space. It’s about doing the work (or learning how to do it)! • Digital research is inherently collaborative, with mutual dependency of techs and academics 14
  • 15. So what? • What difference has this made? Are we in the right conversations at the right time? • Is it worth the extra effort? • Lessons learned: – What we will continue – What we might change 15
  • 16. What difference has this made? • Community • Shared value • Techs and academics are talking, understanding one another! • Connections: Practitioners are finding the expertise they need more quickly • Results: The teaching, research and technical projects are better. – Example: “Paris: Past & Present” (Prof. Meredith Cohen) • Culture change: Academics are seeing the value of tech expertise in shaping academic innovation 16
  • 17. Are we (IT) in the academic conversations, at the right time? YES! In conversations about… • Digital projects: Faculty, grads are consulting with tech staff as they propose new projects. • Library strategic planning: Technologists are involved in work groups and the planning process. • UCLA campus-wide planning for research needs: Academic leaders are consulting IT. 17
  • 18. Is it worth the effort? YES! • Investments: Courage, initiative, time, space, time, a little furniture and tech, time. • Returns: – Academic participants: Familiarity/comfort, acceptance, respect, awareness, recognition. – Technologists: In the mix, peer relationships, demonstrated value. 18
  • 19. Lessons learned: What we will continue • Hosting spaces and events that meet mutual needs • Focus on community: sharing time, space and information around academic pursuits • Focus on diversity of expertise, ‘the mix’ • Minimal administration • Zero organizational boundaries • Growing just enough: to meet extant need and ability to sustain 19
  • 20. Lessons learned: What we might change 1. Documenting the successes 1. Project stories 2. Data showing change: who, how many are participating 2. Informing academic leadership of the successes 3. Next: Figuring out how we translate our value beyond tech-hosted communities back into academic-hosted communities? 20
  • 21. From this morning’s keynote Climate Accelerators: An Approach to Changing Enterprise Culture, Wendy Campana (UCSD) • Elements of Leadership Team Building: – Develop trust – Mutual respect – Listen to each other – Meet face-to-face – … Maybe what we are talking about is a better (more inclusive) kind of teambuilding for innovation! 21
  • 22. Thoughts? Annelie Rugg, Humanities CIO UCLA Center for Digital Humanities annelie@humnet.ucla.edu Twitter: @annelierugg LinkedIn: annelierugg 310-903-7691 22