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What is the Role of Plain Language !
in Knowledge Mobilization?!

Peter Norman Levesque!
President !
Institute for Knowledge Mobilization!
	
  
13-­‐10-­‐15	
  

1	
  
Our Conversation Today!
• 
• 
• 
• 

13-­‐10-­‐15	
  

What is Knowledge Mobilization?!
Why is it important?!
The crucial role of Plain Language.!
How to continue the conversation?!

2	
  
What is !
Knowledge Mobilization?!
•  A shift in thinking!
•  research production & dissemination
to knowledge sharing, meaningmaking and greater use!

•  A recognition that knowing ≠ doing !
•  A focus on complex systems!

13-­‐10-­‐15	
  

3	
  
What is !
Knowledge Mobilization?!
•  A term wrapped up in Jargon!
•  90 different terms used!

•  A system under construction!
•  A promise of improvement with a
short track record!

13-­‐10-­‐15	
  

4	
  
Growth	
  of	
  the	
  Research	
  System	
  
h8p://jrp.icaap.org/index.php/jrp/arCcle/viewArCcle/128/106	
  

2000	
  

13-­‐10-­‐15	
  

1945	
  

5

5	
  
6	
  

This	
  growth	
  shiKs	
  pa8erns	
  of	
  sharing	
  

13-­‐10-­‐15	
  

Passive	
  push	
  	
  
(unCl	
  1970s+)	
  
	
  
Push	
  harder	
  	
  
(1990s+)	
  
	
  
Partner	
  &	
  pull	
  
(2000+)	
  
	
  

•  DisseminaCon	
  via	
  
tradiConal	
  journals,	
  
conferences	
  

•  Focus	
  on	
  
implementaCon,	
  e.g.	
  
performance	
  feedback	
  

•  Linkage	
  &	
  exchange,	
  e.g.	
  
joint	
  producCon	
  

6	
  
7	
  

Lots	
  of	
  smart	
  people	
  trying	
  to	
  improve	
  the	
  
use	
  of	
  research	
  to	
  solve	
  difficult	
  problems	
  

13-­‐10-­‐15	
  

7	
  
Growing	
  recogniCon	
  that	
  success	
  will	
  mean	
  
working	
  together	
  in	
  more	
  complex	
  ways	
  
8	
  

13-­‐10-­‐15	
  

8	
  
Knowledge	
  MobilizaCon	
  is	
  
•  Making	
  what	
  we	
  know	
  READY	
  to	
  be	
  put	
  
into	
  SERVICE	
  and	
  ACTION	
  to	
  create	
  new	
  
VALUE	
  and	
  BENEFITS.	
  
	
  
•  MulCple	
  methods	
  for	
  mulCple	
  purposes	
  
and	
  audiences	
  
•  Includes	
  –	
  management,	
  transfer,	
  
exchange,	
  translaCon,	
  implementaCon	
  
13-­‐10-­‐15	
  

9	
  
Knowledge	
  MobilizaCon	
  is	
  Value	
  CreaCon	
  
Programs	
  
Policies	
  
PrioriCes	
  
Processes	
  
PracCce	
  

InnovaCon	
  
	
  
Suppor=ng	
  
Infrastructure	
  
	
  
	
  
IniCaCves	
  

Value	
  Crea=on	
  

Now	
  What:	
  	
  
Decisions,	
  	
  
DirecCons,	
  AcCons	
  
	
  
	
  

So	
  What:	
  	
  
Meaning,	
  	
  
Analysis,	
  InterpretaCon	
  

Products	
  
PerspecCves	
  
Procedures	
  
PossibiliCes	
  
People	
  Skills	
  

Incen=ves	
  to	
  	
  
Share	
  between	
  
Levels	
  

	
  

What:	
  Data,	
  InformaCon,	
  DescripCon,	
  Stories	
  
	
  

MULTIPLE	
  INPUTS	
  FROM	
  RESEARCH,	
  PRACTICE,	
  EXPERIENCE,	
  CULTURE	
  
13-­‐10-­‐15	
  

	
  

10	
  
Why is Knowledge !
Mobilization Important?!
• 
• 
• 
• 

13-­‐10-­‐15	
  

Growth of everything!
Good decisions are hard!
Lives are held in the balance!
Tragedy of wasted resources!

11	
  
Do	
  we	
  have	
  
data	
  overload	
  
or	
  filter	
  failure?	
  
13-­‐10-­‐15	
  

12	
  
Access	
  

New	
  Yorker:	
  John	
  Caldwell	
  2000

13-­‐10-­‐15	
  

13	
  
Drowning	
  in	
  communicaCon?	
  
•  Never	
  in	
  human	
  history	
  have	
  we	
  hunted	
  for	
  so	
  much	
  
data,	
  informaCon	
  and	
  knowledge.	
  
•  Never	
  in	
  human	
  history	
  have	
  we	
  gathered	
  so	
  much	
  that	
  
is	
  useful	
  but	
  not	
  used.	
  
•  Growing	
  feeling	
  of	
  being	
  overfed	
  with	
  data?	
  
•  Data	
  becomes	
  informaCon	
  when	
  it	
  is	
  informaCve.	
  
•  InformaCon	
  becomes	
  knowledge	
  when	
  we	
  use	
  &	
  learn.	
  
13-­‐10-­‐15	
  

14	
  
Why	
  now?	
  
•  ProducCon	
  
–  Every	
  day,	
  we	
  create	
  2.5	
  quinCllion	
  bytes	
  of	
  data	
  —	
  
so	
  much	
  that	
  90%	
  of	
  the	
  data	
  in	
  the	
  world	
  today	
  
has	
  been	
  created	
  in	
  the	
  last	
  two	
  years	
  alone.	
  	
  
–  This	
  data	
  comes	
  from	
  everywhere:	
  sensors	
  used	
  to	
  
gather	
  climate	
  informaCon,	
  posts	
  to	
  social	
  media	
  
sites,	
  digital	
  pictures	
  and	
  videos,	
  purchase	
  
transacCon	
  records,	
  and	
  cell	
  phone	
  GPS	
  signals	
  to	
  
name	
  a	
  few.	
  	
  
–  This	
  data	
  is	
  big	
  data.	
  
	
  

h8p://www-­‐01.ibm.com/soKware/data/bigdata/	
  

13-­‐10-­‐15	
  

15	
  
Over	
  –	
  ConsumpCon?	
  
	
  

Email:	
  144	
  billion	
  email	
  per	
  day	
  worldwide.	
  (2012)	
  
Websites:	
  624	
  million	
  (2012)	
  
Users:	
  2.4	
  billion	
  (2012)	
  
Mobile:	
  6.7	
  billion	
  mobile	
  subscripCons	
  (2012)	
  
Twi8er:	
  175	
  million	
  tweets	
  daily	
  average	
  (2012)	
  
Facebook:	
  1	
  billion	
  users	
  (2012)	
  
Google:	
  1.2	
  trillion	
  searches	
  on	
  Google	
  (2012)	
  
YouTube:	
  4	
  billion	
  hours/month	
  of	
  video	
  watched	
  
(2012)	
  
–  Youth:	
  spend	
  less	
  Cme	
  watching	
  TV	
  (60%)	
  and	
  
more	
  Cme	
  online	
  (600%)	
  
– 
– 
– 
– 
– 
– 
– 
– 

13-­‐10-­‐15	
  

16	
  
Impact	
  

New	
  Yorker:	
  Sam	
  Gross	
  1991

13-­‐10-­‐15	
  

17	
  
Richard	
  Heinberg	
  Quote	
  
	
  Taking	
  in	
  traumaCc	
  
informaCon	
  and	
  
transforming	
  it	
  into	
  
life-­‐affirming	
  acCon	
  
may	
  turn	
  out	
  to	
  be	
  the	
  
most	
  advanced	
  and	
  
meaningful	
  spiritual	
  
pracCce	
  of	
  our	
  Cme.	
  
	
  
h8p://globalpublicmedia.com/how_do_you_like_the_collapse_so_far

13-­‐10-­‐15	
  

18	
  
18	
  
Knowledge	
  mobilizaCon	
  	
  
as	
  a	
  support	
  for	
  decision	
  making	
  
Other	
  
Factors	
  Experience	
  
Judgement	
  
	
  
	
  
EmoCons	
  
Resources	
  

ConCngency	
  

PragmaCcs	
  

Evidence	
  

Values	
  

Habits	
  

Pressure	
  
TradiCons	
  
Groups	
   Lobbyists	
  

	
  

13-­‐10-­‐15	
  

Philip	
  Davies,	
  Is	
  Evidence-­‐Based	
  Government	
  Possible?	
  
Jerry	
  Lee	
  Lecture	
  2004,	
  Washington,	
  DC
19	
  
The crucial role of !
Plain Language!
•  The problems are complex!
•  Solutions require multiple
sources of knowledge!
•  Specialized language creates
barriers to accessing needed
people!
13-­‐10-­‐15	
  

20	
  
 Core	
  of	
  Value	
  CreaCon	
  is	
  
ConversaCon	
  

13-­‐10-­‐15	
  

21	
  
Layman’s	
  Language	
  

New	
  Yorker:	
  Dana	
  Fradon	
  1975

13-­‐10-­‐15	
  

22	
  
4	
  Common	
  Obstacles	
  to	
  Research	
  Use:	
  
1.  The	
  research	
  quesCon	
  is	
  not	
  perCnent	
  to	
  pracCce.	
  
2.  The	
  research	
  is	
  not	
  Cmely.	
  
3.  The	
  research	
  is	
  not	
  communicated	
  in	
  ways	
  relevant	
  to	
  
users.	
  
4.  Management	
  pressures	
  trump	
  the	
  use	
  of	
  research-­‐
based	
  evidence	
  in	
  decision-­‐making.	
  
	
  

	
  Source:	
  Allen,	
  P.	
  et	
  al	
  2007.	
  	
  “Commissioning	
  research	
  that	
  is	
  used:	
  the	
  experience	
  of	
  the	
  NHS	
  Service	
  Delivery	
  
and	
  OrganizaCon	
  Research	
  Development	
  Programme.”	
  	
  Evidence	
  &	
  Policy,	
  3(1):	
  119-­‐134,	
  as	
  summarized	
  in	
  
CHSRF’s	
  Insight	
  and	
  Ac5on,	
  Issue	
  13,	
  June	
  2007.	
  

13-­‐10-­‐15	
  

23	
  
23	
  
We	
  need	
  to	
  be	
  creaCve:	
  
	
  

In	
  order	
  to	
  create	
  the	
  “ideal”	
  future,	
  you	
  need	
  a	
  lot	
  of	
  
ideas	
  from	
  which	
  to	
  choose	
  otherwise	
  the	
  future	
  tends	
  
to	
  look	
  like	
  a	
  linear	
  extension	
  of	
  what	
  already	
  exists.	
  
	
  
Or	
  
	
  
If	
  you	
  want	
  to	
  know	
  what	
  the	
  future	
  is,	
  	
  
be	
  part	
  of	
  its	
  development.	
  (Peter	
  Drucker)	
  

13-­‐10-­‐15	
  

24	
  
Plain	
  Language	
  Summaries	
  

h8p://researchimpact.wordpress.com/	
  

13-­‐10-­‐15	
  

25	
  
25	
  
Cochrane	
  CollaboraCon	
  
h8p://www.cochrane.org	
  

13-­‐10-­‐15	
  

26	
  
26	
  
GranCng	
  Councils	
  

13-­‐10-­‐15	
  

27	
  
27	
  
How to continue !
the conversation?!
•  Linking Plain Language and
Knowledge Mobilization
Efforts!
•  Canadian Knowledge
Mobilization Forum!
•  Communities of Practice!
13-­‐10-­‐15	
  

28	
  
Canadian	
  Knowledge	
  MobilizaCon	
  Forum	
  

h8p://www.knowledgemobilizaCon.net/forum	
  
	
  
Dates	
  set	
  for	
  2014	
  –	
  June	
  9	
  &	
  10	
  in	
  Saskatoon	
  
Venues	
  selected	
  unCl	
  2020	
  
13-­‐10-­‐15	
  

29	
  
29	
  
Knowledge	
  Transfer	
  and	
  Exchange	
  
Community	
  of	
  PracCce	
  

13-­‐10-­‐15	
  

30	
  
30	
  
Contact	
  informaCon	
  
	
  	
  	
  	
  	
  	
  (613)	
  552-­‐2725	
  
	
  	
  	
  	
  	
  	
  peter@knowledgemobilizaCon.net	
  
	
  
	
  www.knowledgemobilizaCon.net	
  
	
  
	
  @peterlevesque	
  
	
  
	
  Fairmont	
  Chateau	
  Laurier	
  
	
  1	
  Rideau	
  Street,	
  Suite	
  700	
  
	
  O8awa,	
  ON,	
  K1N	
  8S7	
  
	
  	
  
	
  
	
  	
  

13-­‐10-­‐15	
  

31	
  

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Plain2013 peter levesque ikmb

  • 1. What is the Role of Plain Language ! in Knowledge Mobilization?! Peter Norman Levesque! President ! Institute for Knowledge Mobilization!   13-­‐10-­‐15   1  
  • 2. Our Conversation Today! •  •  •  •  13-­‐10-­‐15   What is Knowledge Mobilization?! Why is it important?! The crucial role of Plain Language.! How to continue the conversation?! 2  
  • 3. What is ! Knowledge Mobilization?! •  A shift in thinking! •  research production & dissemination to knowledge sharing, meaningmaking and greater use! •  A recognition that knowing ≠ doing ! •  A focus on complex systems! 13-­‐10-­‐15   3  
  • 4. What is ! Knowledge Mobilization?! •  A term wrapped up in Jargon! •  90 different terms used! •  A system under construction! •  A promise of improvement with a short track record! 13-­‐10-­‐15   4  
  • 5. Growth  of  the  Research  System   h8p://jrp.icaap.org/index.php/jrp/arCcle/viewArCcle/128/106   2000   13-­‐10-­‐15   1945   5 5  
  • 6. 6   This  growth  shiKs  pa8erns  of  sharing   13-­‐10-­‐15   Passive  push     (unCl  1970s+)     Push  harder     (1990s+)     Partner  &  pull   (2000+)     •  DisseminaCon  via   tradiConal  journals,   conferences   •  Focus  on   implementaCon,  e.g.   performance  feedback   •  Linkage  &  exchange,  e.g.   joint  producCon   6  
  • 7. 7   Lots  of  smart  people  trying  to  improve  the   use  of  research  to  solve  difficult  problems   13-­‐10-­‐15   7  
  • 8. Growing  recogniCon  that  success  will  mean   working  together  in  more  complex  ways   8   13-­‐10-­‐15   8  
  • 9. Knowledge  MobilizaCon  is   •  Making  what  we  know  READY  to  be  put   into  SERVICE  and  ACTION  to  create  new   VALUE  and  BENEFITS.     •  MulCple  methods  for  mulCple  purposes   and  audiences   •  Includes  –  management,  transfer,   exchange,  translaCon,  implementaCon   13-­‐10-­‐15   9  
  • 10. Knowledge  MobilizaCon  is  Value  CreaCon   Programs   Policies   PrioriCes   Processes   PracCce   InnovaCon     Suppor=ng   Infrastructure       IniCaCves   Value  Crea=on   Now  What:     Decisions,     DirecCons,  AcCons       So  What:     Meaning,     Analysis,  InterpretaCon   Products   PerspecCves   Procedures   PossibiliCes   People  Skills   Incen=ves  to     Share  between   Levels     What:  Data,  InformaCon,  DescripCon,  Stories     MULTIPLE  INPUTS  FROM  RESEARCH,  PRACTICE,  EXPERIENCE,  CULTURE   13-­‐10-­‐15     10  
  • 11. Why is Knowledge ! Mobilization Important?! •  •  •  •  13-­‐10-­‐15   Growth of everything! Good decisions are hard! Lives are held in the balance! Tragedy of wasted resources! 11  
  • 12. Do  we  have   data  overload   or  filter  failure?   13-­‐10-­‐15   12  
  • 13. Access   New  Yorker:  John  Caldwell  2000 13-­‐10-­‐15   13  
  • 14. Drowning  in  communicaCon?   •  Never  in  human  history  have  we  hunted  for  so  much   data,  informaCon  and  knowledge.   •  Never  in  human  history  have  we  gathered  so  much  that   is  useful  but  not  used.   •  Growing  feeling  of  being  overfed  with  data?   •  Data  becomes  informaCon  when  it  is  informaCve.   •  InformaCon  becomes  knowledge  when  we  use  &  learn.   13-­‐10-­‐15   14  
  • 15. Why  now?   •  ProducCon   –  Every  day,  we  create  2.5  quinCllion  bytes  of  data  —   so  much  that  90%  of  the  data  in  the  world  today   has  been  created  in  the  last  two  years  alone.     –  This  data  comes  from  everywhere:  sensors  used  to   gather  climate  informaCon,  posts  to  social  media   sites,  digital  pictures  and  videos,  purchase   transacCon  records,  and  cell  phone  GPS  signals  to   name  a  few.     –  This  data  is  big  data.     h8p://www-­‐01.ibm.com/soKware/data/bigdata/   13-­‐10-­‐15   15  
  • 16. Over  –  ConsumpCon?     Email:  144  billion  email  per  day  worldwide.  (2012)   Websites:  624  million  (2012)   Users:  2.4  billion  (2012)   Mobile:  6.7  billion  mobile  subscripCons  (2012)   Twi8er:  175  million  tweets  daily  average  (2012)   Facebook:  1  billion  users  (2012)   Google:  1.2  trillion  searches  on  Google  (2012)   YouTube:  4  billion  hours/month  of  video  watched   (2012)   –  Youth:  spend  less  Cme  watching  TV  (60%)  and   more  Cme  online  (600%)   –  –  –  –  –  –  –  –  13-­‐10-­‐15   16  
  • 17. Impact   New  Yorker:  Sam  Gross  1991 13-­‐10-­‐15   17  
  • 18. Richard  Heinberg  Quote    Taking  in  traumaCc   informaCon  and   transforming  it  into   life-­‐affirming  acCon   may  turn  out  to  be  the   most  advanced  and   meaningful  spiritual   pracCce  of  our  Cme.     h8p://globalpublicmedia.com/how_do_you_like_the_collapse_so_far 13-­‐10-­‐15   18   18  
  • 19. Knowledge  mobilizaCon     as  a  support  for  decision  making   Other   Factors  Experience   Judgement       EmoCons   Resources   ConCngency   PragmaCcs   Evidence   Values   Habits   Pressure   TradiCons   Groups   Lobbyists     13-­‐10-­‐15   Philip  Davies,  Is  Evidence-­‐Based  Government  Possible?   Jerry  Lee  Lecture  2004,  Washington,  DC 19  
  • 20. The crucial role of ! Plain Language! •  The problems are complex! •  Solutions require multiple sources of knowledge! •  Specialized language creates barriers to accessing needed people! 13-­‐10-­‐15   20  
  • 21.  Core  of  Value  CreaCon  is   ConversaCon   13-­‐10-­‐15   21  
  • 22. Layman’s  Language   New  Yorker:  Dana  Fradon  1975 13-­‐10-­‐15   22  
  • 23. 4  Common  Obstacles  to  Research  Use:   1.  The  research  quesCon  is  not  perCnent  to  pracCce.   2.  The  research  is  not  Cmely.   3.  The  research  is  not  communicated  in  ways  relevant  to   users.   4.  Management  pressures  trump  the  use  of  research-­‐ based  evidence  in  decision-­‐making.      Source:  Allen,  P.  et  al  2007.    “Commissioning  research  that  is  used:  the  experience  of  the  NHS  Service  Delivery   and  OrganizaCon  Research  Development  Programme.”    Evidence  &  Policy,  3(1):  119-­‐134,  as  summarized  in   CHSRF’s  Insight  and  Ac5on,  Issue  13,  June  2007.   13-­‐10-­‐15   23   23  
  • 24. We  need  to  be  creaCve:     In  order  to  create  the  “ideal”  future,  you  need  a  lot  of   ideas  from  which  to  choose  otherwise  the  future  tends   to  look  like  a  linear  extension  of  what  already  exists.     Or     If  you  want  to  know  what  the  future  is,     be  part  of  its  development.  (Peter  Drucker)   13-­‐10-­‐15   24  
  • 25. Plain  Language  Summaries   h8p://researchimpact.wordpress.com/   13-­‐10-­‐15   25   25  
  • 26. Cochrane  CollaboraCon   h8p://www.cochrane.org   13-­‐10-­‐15   26   26  
  • 28. How to continue ! the conversation?! •  Linking Plain Language and Knowledge Mobilization Efforts! •  Canadian Knowledge Mobilization Forum! •  Communities of Practice! 13-­‐10-­‐15   28  
  • 29. Canadian  Knowledge  MobilizaCon  Forum   h8p://www.knowledgemobilizaCon.net/forum     Dates  set  for  2014  –  June  9  &  10  in  Saskatoon   Venues  selected  unCl  2020   13-­‐10-­‐15   29   29  
  • 30. Knowledge  Transfer  and  Exchange   Community  of  PracCce   13-­‐10-­‐15   30   30  
  • 31. Contact  informaCon              (613)  552-­‐2725              peter@knowledgemobilizaCon.net      www.knowledgemobilizaCon.net      @peterlevesque      Fairmont  Chateau  Laurier    1  Rideau  Street,  Suite  700    O8awa,  ON,  K1N  8S7             13-­‐10-­‐15   31