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IPS169 Gaby U.
            of indicators, indices, composite indicators, scoreboards (ecc.), they are key
            instruments to quantify, qualify and compare complex processes, structures
            and situations in order to assess the performance of nations and human well-
            being. As such, they are essential means of collective political action.
                The connection between statistics and politics materialises the essential
            feature of ‘governing by knowing’ in 21  century evidence-based decision-
                                                    st
            making. Data and factual evidence ‘stand in for’ abstract concepts and realities
            to make them measurable. Hence, quantification and categorisation through
            indicators and scoreboards define meaning and are neither merely technical
            nor normatively neutral: they create reality, impact on behaviour, and define
            and  change  paradigms,  ideas,  and  relationships  between  actors.  The
            normativity  of  measuring  defines  social  reality  that  is  subject  to  state
            regulation and policy-making (Bhuta, Malito, and Umbach 2018).
                In this understanding, data and statistics are an essential parts of evidence-
            based  policy-making  and  have  fundamental  ‘knowledge  and  governance
            effects’ within the political process: systemic conditions alter (participation and
            network  governance  develop);  ‘data  cultures’  emerge  (new  avalanche  of
            indicators); new forms of knowledge become relevant and accepted (‘post-
            metrological trends’); and statistics turn into advocacy and policy tools that
            perform new qualitative functions in politics.
                From such multiple impact also stem the instrumental limits of statistics
            and factual evidence as policy tools. Central questions in this context centre
            on the ‘rhetoric-reality gap’ and the ‘means-ends dilemma’ of the embedment
            of  political  interests  in  measurable  scales.  Difficulties  of  common
            understandings; the life-cycle of paradigms as well as the resulting ‘ecology of
            indicators’  and  ‘data  cultures’  are  to  be  scrutinised  thoroughly  as  is  the
            criticism  on  the  one-size-fits-all  character  and  the  politicisation  of  data  in
            politics.
                The metamorphosis of data evidence into policy tools finally also affects the
            genuine  work  of  data  providers.  The  use  of  data  in  EBPM  is  subject  to  the
            principles of legitimacy, transparency and accountability, but also of preference
            building and negotiation. Data therefore become subject to public discourse,
            scrutiny and contestation that target the narratives and power structures that
            emerge  from  and  result  in  their  production  and  use.  The  use  of  data
            consequently  fosters  participatory  structures,  co-creation  and  epistemic
            community building around data communities that perceive their evidence as
            opportunity  structure  for  the  normative  framing  of  policy  content.  These
            developments have immediate impact on political institutions and their capacity
            to select, evaluate and process data, which is directly influenced by difficulties
            to develop common understandings of complex social phenomena and by the
            inevitable  trend  towards  oversimplification  of  such  complexity.  In  this  way,
            statistics become part of the knowledge and evidence production process itself

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