David Budtz Pedersen Professor MSO & Head of Research

Humanomics Research Centre

Aalborg University Copenhagen

With contributions from

Rolf Hvidtfeldt, Jonas Grønvad & Andreas Brøgger

20 JUNE 2017 European Commission

Develop and implement a participatory taxonomy for

mapping research impact in SSH (2016-2019)

Supported by The Obel Family Foundation. Co-sponsored by Aalborg University.

Informed by literature review of impact indicators and frameworks + focus groups + biographic analysis

Data collection 2017-2018

Research Impact Case Studies (based on annotations)

Learning outcome: How does SSH research make an impact upon society and through which pathways?

Birger Larsen Professor

Marianne Lykke Professor

David Budtz Pedersen Professor (mso)

Rolf Hvidtfeldt Postdoc

Jonas Grønvad PhD Candidate

Mikael Vetner Head of Department

Team

• From linear model to non-linear (co-creation, engagement, awareness, user-driven innovation, etc.).

• Knowledge production and knowledge exchange takes place along a continuum focusing on processes rather than products.

• Openness, accessibility and awareness are keys to success of knowledge uptake

• Broader societal impact becomes obligatory component of research evaluation (EU, SIAMPI, IMPACT-EVT, REF, NSF, SEP etc.)

Connective impact

Diverse impact pathways 3700 unique pathways in 6679 REF impact case studies

Grant et al. 2016

Measuring connective impact

Logic model for promoting research

Resources,

inputs and

planning

Research and

engagement

Outputs Outcomes Impact

• Planning your engagement with stakeholders

• Demonstrating and promoting the extent your engagement

Research process

Group or

individual level

On-going real-time

research activities

Resources and

input

Dissemination

activities

‘Raw relations’

Interactions

Dissemination

Communication

Engagement

Networks

Appearance

Products and

processes

(direct and indirect)

Impact

‘Changes’ we can

see (demonstrate,

measure, capture)

beyond academia

(in society,

economy,

environment),

which happen

because of

research (caused

by, contributed to,

attributable to).

Assessment

Meta-analysis

Review

Evaluation

Reward

Best practices

‘Impact Profile’

Reward & incentive

Toolkits

Extended peer

review

PRACTICE CONNECTIVITY NARRATIVES LEARNING

Research process

Group or

individual level

On-going real-time

research activities

Resources and

input

Impact

‘Changes’ we can

see (demonstrate,

measure, capture)

beyond academia

(in society,

economy,

environment),

which happen

because of our

studies (caused by,

contributed to,

attributable to).

Assessment

Meta-analysis

Review

Evaluation

Reward

Best practices

‘Impact Profile’

Reward & incentive

Toolkits

Extended peer

review

PRACTICE CONNECTIVITY NARRATIVES LEARNING

Research process

Group or

individual level

On-going real-time

research activities

Resources and

input

Dissemination

activities

‘Raw relations’

Interactions

Dissemination

Communication

Engagement

Networks

Appearance

Products and

processes

(direct and indirect)

Impact

‘Changes’ we can

see (demonstrate,

measure, capture)

beyond academia

(in society,

economy,

environment),

which happen

because of our

studies (caused by,

contributed to,

attributable to).

Assessment

Meta-analysis

Review

Evaluation

Reward

Best practices

‘Impact Profile’

Reward & incentive

Toolkits

Extended peer

review

PRACTICE CONNECTIVITY

NARRATIVES LEARNING

Research design Annotated data Capturing impact by

cases Synthetizing and

assessing

Mapping policy impact

What we think we know

Providers of evidence in certain professions will have a greater chance of being embedded. Politicians may want specialists on polling and communications embedded. Policy-makers may want economics and legal experts embedded, not only because of need but also because they often have legal and economics expertise themselves. Similarly, scientists in policy roles may like to keep the labs close. (Saner 2015: 4)

Research process

Group or

individual level

On-going real-time

research activities

Resources and

input

Dissemination

activities

‘Raw relations’

Interactions

Dissemination

Communication

Engagement

Networks

Appearance

Products and

processes

(direct and indirect)

Impact

‘Changes’ we can

see (demonstrate,

measure, capture)

beyond academia

(in society,

economy,

environment),

which happen

because of our

studies (caused by,

contributed to,

attributable to).

Assessment

Meta-analysis

Review

Evaluation

Reward

Best practices

‘Impact Profile’

Reward & incentive

Toolkits

Extended peer

review

PRACTICE CONNECTIVITY

NARRATIVES LEARNING

Research design Annotated data Capturing impact by

cases Synthetizing and

assessing

ReAct Impact Taxonomy

GREY LIT

GREEN PAPERS

WHITE PAPERS

POLICY DOCS

LAW TEXTS

ADVICE

FORMAL

INFORMAL

PUBLIC

PRIVATE

NGO

UNION

INTEREST GROUP

COMPREHENSIVE IMPACT TAXONOMY

CATEGORIES MOST DIRECTLY RELATED TO POLICY INFLUENCE

PRESENTATIONS

MEETINGS

POP PAPERS

INFORMAL DISCUSSIONS PEER REVIEWED PDFs

BOOKS

ANALYSES

DEBATES

MEDIA APPEARENCES FORMAL ADVICE

NO SIMPLE OR LINEAR ROUTE TO POLICY IMPACT

RELEVANT DECISION MAKER

Sphere of Science Communication From: Lewenstein, Bruce V. (2011). Experimenting with Engagement. Commentary on "Taking Our Own Medicine: On an

Experiment in Science Communication."Science And Engineering Ethics, 17(4), 817-821.

Concluding

Participatory impact taxonomy is developed by involving staff and end-

users in definition of field-specific impact categories

Build an open source data registration tool by applying ReAct impact

taxonomy to VIVO ontology

Solving the data issue: descriptive data on many issues related to science

are not systematically collected (though observable): creates uncertainty

Connective impact (“raw relations” ) key driver for qualitative case studies

(mix method approach)

Thank you for the attention

David Budtz Pedersen (davidp@hum.aau.dk)

Jonas Grønvad (jonas@groenvad.dk)

Rolf Hvidtfeldt (rolfh@hum.aau.dk)

Twitter: @HumanomicsMap

Website: www.react.aau.dk

Supported by