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86  J. BATES

              Sandra Braman (2006) alludes to these developments in her concep-
            tualisation of the “Informational State”. In her work, she observes the
            development of a deepening form of “informational power” beginning in
            the 1970s and 1980s. She argues that while analyses of power have tended
            to categorise the concept into instrumental, structural and symbolic forms
            of power, processes of information intensification in recent decades have
            brought a further type—“informational power”—to the core of contem-
            porary power relations. This “informational” form of power, she argues,
            interacts with other forms of power by “manipulating” their “informational
            bases” (p. 26). She illustrates a number of examples of this developing
            “informational base” for instrumental, structural and symbolic forms of
            power with reference to Smart Weapons, internet surveillance, personalised
            web-services, social profiling and manipulation of public opinion. Braman
            further argues that the processing and distribution of information are also
            often key factors in “the transformation of power from potential to actual”
            (p. 27).
              It is important that this informational form of power is addressed as we
            try and navigate through the complex and uncertain terrain of the con-
            temporary era. It is clear that data analytics will contribute to how societies
            respond to the significant challenges we face in the twenty first century, but
            also that many of these data-related practices generate deep uncertainties of
            their own. The different interests that are empowered and disempowered
            by how data are generated, processed and used will be heavily influenced
            by the wider dynamics of political economy and culture. It is therefore
            important to integrate an understanding of datafication into our analysis of
            the broader processes of change. In order to ‘make real’ some of these
            issues, the rest of the chapter will now turn to examining such develop-
            ments in relation to climate risk markets.


                             THE CLIMATE RISK MARKET
            Similar to climate science, financial markets have long been data-
            dependent. Streams of data are crunched by algorithms and models, and
            feed into human and automated decision-making processes which have
            significant impact throughout society. Weather derivatives are a type of
            climate risk product traded in the global financial markets. These financial
            products cover businesses for “moderate departures” from expected
            weather conditions, as opposed to traditional indemnity insurance, which
            covers for significant departures (e.g., extreme events) and catastrophic loss
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