xxxv sunbelt conference connect with spru … · • science and technology policy! ... innovation...

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The Emergence of Molecular Biology in the Diagnosis of Cervical Cancer: A Network Perspective Rotolo Daniele (SPRU, University of Sussex, [email protected], www.danielerotolo.com, @danielerotolo), Michael M. Hopkins (SPRU, University of Sussex), Ismael Rafols (INGENIO, Universitat Politecnica de Valencia), Stuart Hogarth (Dept. of Social Science, Health and Medicine, King's College London) Tie formation (dyad) How do different institutional groups of actors shape technological emergence through inter-organisational networks? How does the role of institutional groups in inter-organisational networks evolve over the emergence process? Research questions Brokerage roles (triad) Co-authorship network log 2 number of publications Research and Higher Education (RHE) Universities, university hospitals, medical centres (involved in teaching activities), colleges and schools, research centres/institutes co-authorship Industry (IND) Pharmaceutical and biotechnology firms, consultants, laboratories (when independent from other organisations) Governmental (GOV) Nat./pub. agencies/bureaus, health boards, nat. institutes, registries, nat. labs, pub. dept., councils, nat. programmes/initiatives, ministries, regional centres, international organisations supported by governments Non-governmental (NGO) Societies, associations, other non-profit organisations, charities, foundations Hospitals and Care (HC) Medical centres, clinics, infirmaries, cancer centres, medical groups/associates, healthcare providers Other (OT) Organisations not in the previous categories 4,721 publications from 1980 to 2011 – MEDLINE/PubMed data matched with Scopus (Rotolo & Leydesdorff, 2015) Query based on MeSH (Medical Subject Headings): descriptors (uterine cervical neoplasms, uterine cervical dysplasia, cervical intraepithelial neoplasia) and qualifier (diagnosis) 3,072 affiliations (harmonisation of 9,806 variations of affiliation names) Science and Technology Policy Emerging technologies as technology capable of changing the the status quo (e.g. Rotolo et al. 2015RP, Small et al. 2014RP) (Evolutionary) Economics Technological trajectories/paradigms (e.g. Dosi 1982RP), lock-in and path dependence (e.g. David 1985AER) Science and Technology Studies (STS) Socio-technical regimes, visions, expectations and directionality of technological developments (e.g. Geels 2002RP, Stirling and Scoones 2009ES) The role of inter-organisational networks Inter-organisational relationships as enabling actors to engage with the ‘problematisations’ of an emerging technology (Blume 1992) Innovation is “commonly found in the interstices between firms, universities, research laboratories, suppliers, and customer” (Powell 1990: 118) Ties provide actors with access to knowledge and resources, whereas the configurations of these relationships may affect power distribution (e.g. Brass 1992) Conceptual framework Data Findings Ties with HC in the early phase of emergence are important for most groups, especially for RHE, IND All institutional groups form predominantly inter- group ties, except RHE All groups perform the full variety of (‘intra’ and ‘between’ groups) brokering roles to some extent The predominant forms of brokering roles played by different institutional groups are relatively stable during the emergence process, although the intensity of brokerage activity varies over time NGOs and IND actors play a similar role as liaison-type brokers Funded by Project: RES-360-25-0076 RHE GOV HC IND NGO Cervical cancer: one of the most common cancers among women – about 528,000 new cases and 266,000 deaths each year (WHO 2012) Human Papilloma Virus (HPV) as its association with cervical cancer The emergence of diagnosis: Pap vs. HPV test Year Number of publications 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 0 50 100 150 200 250 300 350 400 pathology diagnosis radiotherapy prevention & control surgery virology epidemiology therapy drug therapy genetics 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 RHENGO RHEIND RHEHC RHEGOV RHERHE Number of ties 0 500 1000 1500 2000 2500 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Proportion of ties 0 20 40 60 80 100 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 GOVNGO GOVIND GOVHC GOVRHE GOVGOV Number of ties 0 100 200 300 400 500 600 700 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Proportion of ties 0 20 40 60 80 100 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 HCNGO HCIND HCGOV HCRHE HCHC Number of ties 0 200 400 600 800 1000 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Proportion of ties 0 20 40 60 80 100 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 INDNGO INDHC INDGOV INDRHE INDIND Number of ties 0 50 100 150 200 250 300 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Proportion of ties 0 20 40 60 80 100 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 NGOIND NGOHC NGOGOV NGORHE NGONGO Number of ties 0 50 100 150 200 250 300 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Proportion of ties 0 20 40 60 80 100 The disease Year (end of the time window) Probability to broker 1996 1998 2000 2002 2004 2006 2008 2010 0.0 0.2 0.4 0.6 0.8 1.0 Coordinator Gatekeeper Itinerant Broker Liaison Year (end of the time window) Probability to broker 1996 1998 2000 2002 2004 2006 2008 2010 0.0 0.2 0.4 0.6 0.8 1.0 Coordinator Gatekeeper Itinerant Broker Liaison Year (end of the time window) Probability to broker 1996 1998 2000 2002 2004 2006 2008 2010 0.0 0.2 0.4 0.6 0.8 1.0 Coordinator Gatekeeper Itinerant Broker Liaison Year (end of the time window) Probability to broker 1996 1998 2000 2002 2004 2006 2008 2010 0.0 0.2 0.4 0.6 0.8 1.0 Coordinator Gatekeeper Itinerant Broker Liaison Year (end of the time window) Probability to broker 1996 1998 2000 2002 2004 2006 2008 2010 0.0 0.2 0.4 0.6 0.8 1.0 Coordinator Gatekeeper Itinerant Broker Liaison XXXV SUNBELT Conference Brighton (UK), 23-29 June 2015

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Page 1: XXXV SUNBELT Conference Connect with SPRU … · • Science and Technology Policy! ... Innovation is “commonly found in the ... SPRU 50th Anniversary 2016 Keep in touch for updates,

The Emergence of Molecular Biology in the Diagnosis of Cervical Cancer: A Network Perspective !

Rotolo Daniele (SPRU, University of Sussex, [email protected], www.danielerotolo.com, @danielerotolo),!Michael M. Hopkins (SPRU, University of Sussex), Ismael Rafols (INGENIO, Universitat Politecnica de Valencia),!

Stuart Hogarth (Dept. of Social Science, Health and Medicine, King's College London)!

Tie formation (dyad)!

•  How do different institutional groups of actors shape technological emergence through inter-organisational networks? !

•  How does the role of institutional groups in inter-organisational networks evolve over the emergence process?!

Research questions!

Brokerage roles (triad)!

Co-

auth

orsh

ip n

etw

ork!

log2 number of !publications!

Research and Higher Education (RHE) !Universities, university hospitals, medical centres (involved in teaching activities), colleges and schools, research centres/institutes!

co-authorship!

Industry (IND) !Pharmaceutical and biotechnology firms, consultants, laboratories (when independent from other organisations) !

Governmental (GOV) !Nat./pub. agencies/bureaus, health boards, nat. institutes, registries, nat. labs, pub. dept., councils, nat. programmes/initiatives, ministries, regional centres, international organisations supported by governments !

Non-governmental (NGO) !Societies, associations, other non-profit organisations, charities, foundations !

Hospitals and Care (HC) !Medical centres, clinics, infirmaries, cancer centres, medical groups/associates, healthcare providers !

Other (OT) !Organisations not in the previous categories !

•  4,721 publications from 1980 to 2011 –MEDLINE/PubMed data matched with Scopus (Rotolo & Leydesdorff, 2015)!

•  Query based on MeSH (Medical Subject Headings): descriptors (uterine cervical neoplasms, uterine cervical dysplasia, cervical intraepithelial neoplasia) and !qualifier (diagnosis)!

•  3,072 affiliations (harmonisation of 9,806 variations of affiliation names)!

•  Science and Technology Policy!Emerging technologies as technology capable of changing the the status quo (e.g. Rotolo et al. 2015RP, Small et al. 2014RP)!

•  (Evolutionary) Economics !Technological trajectories/paradigms (e.g. Dosi 1982RP), lock-in and path dependence (e.g. David 1985AER) !

•  Science and Technology Studies (STS) Socio-technical regimes, visions, expectations and directionality of technological developments (e.g. Geels 2002RP, Stirling and Scoones 2009ES)!

•  The role of inter-organisational networks!Inter-organisational relationships as enabling actors to engage with the ‘problematisations’ of an emerging technology (Blume 1992)!!Innovation is “commonly found in the interstices between firms, universities, research laboratories, suppliers, and customer” (Powell 1990: 118) !!Ties provide actors with access to knowledge and resources, whereas the configurations of these relationships may affect power distribution (e.g. Brass 1992)!

Conceptual framework!

Data!

Findings!•  Ties with HC in the early phase of emergence are

important for most groups, especially for RHE, IND!

•  All institutional groups form predominantly inter-group ties, except RHE!

•  All groups perform the full variety of (‘intra’ and ‘between’ groups) brokering roles to some extent!

•  The predominant forms of brokering roles played by different institutional groups are relatively stable during the emergence process, although the intensity of brokerage activity varies over time!

•  NGOs and IND actors play a similar role as !liaison-type brokers!

Funded by

Connect with SPRUwww.sussex.ac.uk/spru

@SPRU

For general enquiries E [email protected] +44 (0)1273 873398

To receive regular updates on SPRU news and events, subscribe via [email protected]

SPRU 50th Anniversary 2016Keep in touch for updates, with an ambitious programme of events and activities planned. As part of our preparations, we are keen to hear from SPRU alumni so do get in touch.

SPRUUniversity of Sussex Jubilee Building, FalmerBrighton, BN1 9SLUnited Kingdom

Project: RES-360-25-0076

RHE!

GOV!

HC!

IND!

NGO!

•  Cervical cancer: one of the most common cancers among women – about 528,000 new cases and 266,000 deaths each year (WHO 2012)!

•  Human Papilloma Virus (HPV) as its association with cervical cancer!!

•  The emergence of diagnosis: !Pap vs. HPV test!

Year

Num

ber o

f pub

licat

ions

1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010

050

100

150

200

250

300

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400

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pathologydiagnosisradiotherapyprevention & controlsurgeryvirologyepidemiologytherapydrug therapygenetics

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

RHE−NGORHE−INDRHE−HCRHE−GOVRHE−RHE

Year (end of the time window)

Num

ber o

f tie

s

0

500

1000

1500

2000

2500

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

Year (end of the time window)

Prop

ortio

n of

ties

0

20

40

60

80

100

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

GOV−NGOGOV−INDGOV−HCGOV−RHEGOV−GOV

Year (end of the time window)

Num

ber o

f tie

s

0

100

200

300

400

500

600

700

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

Year (end of the time window)

Prop

ortio

n of

ties

0

20

40

60

80

100

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

HC−NGOHC−INDHC−GOVHC−RHEHC−HC

Year (end of the time window)

Num

ber o

f tie

s

0

200

400

600

800

1000

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

Year (end of the time window)

Prop

ortio

n of

ties

0

20

40

60

80

100

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

IND−NGOIND−HCIND−GOVIND−RHEIND−IND

Year (end of the time window)

Num

ber o

f tie

s

0

50

100

150

200

250

300

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

Year (end of the time window)

Prop

ortio

n of

ties

0

20

40

60

80

100

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

NGO−INDNGO−HCNGO−GOVNGO−RHENGO−NGO

Num

ber o

f tie

s

0

50

100

150

200

250

300

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

Prop

ortio

n of

ties

0

20

40

60

80

100

The disease!

●●

● ●●

●●

●●

● ● ●●

Year (end of the time window)

Prob

abilit

y to

bro

ker

1996 1998 2000 2002 2004 2006 2008 2010

0.0

0.2

0.4

0.6

0.8

1.0

● CoordinatorGatekeeperItinerant BrokerLiaison

●● ●

●●

Year (end of the time window)

Prob

abilit

y to

bro

ker

1996 1998 2000 2002 2004 2006 2008 2010

0.0

0.2

0.4

0.6

0.8

1.0

● CoordinatorGatekeeperItinerant BrokerLiaison

● ● ●

●●

● ● ●

Year (end of the time window)

Prob

abilit

y to

bro

ker

1996 1998 2000 2002 2004 2006 2008 2010

0.0

0.2

0.4

0.6

0.8

1.0

● CoordinatorGatekeeperItinerant BrokerLiaison

Year (end of the time window)

Prob

abilit

y to

bro

ker

1996 1998 2000 2002 2004 2006 2008 2010

0.0

0.2

0.4

0.6

0.8

1.0

● CoordinatorGatekeeperItinerant BrokerLiaison

●●

Year (end of the time window)

Prob

abilit

y to

bro

ker

1996 1998 2000 2002 2004 2006 2008 2010

0.0

0.2

0.4

0.6

0.8

1.0

● CoordinatorGatekeeperItinerant BrokerLiaison

XXXV SUNBELT Conference!Brighton (UK), 23-29 June 2015!