Why model?

By Steven Lade

Steven Lade
Steven Lade (biography)

What do you think about mathematical modelling of ‘wicked’ or complex problems? Formal modelling, such as mathematical modelling or computational modelling, is sometimes seen as reductionist, prescriptive and misleading. Whether it actually is depends on why and how modelling is used.

Here I explore four main reasons for modelling, drawing on the work of Brugnach et al. (2008):

  • Prediction
  • Understanding
  • Exploration
  • Communication.

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Linking collective impact to the characteristics of open living systems

Community member post by Lewis Atkinson

Lewis Atkinson (biography)

How can communities most effectively achieve collective impact, moving from fragmented action and results to collective action and deep, durable systems change? In particular, what can those seeking to understand the characteristics required for collective impact learn from the characteristics of open living systems?

In this blog post I link five characteristics for collective impact, based on Cabaj and Weaver (2016) with 12 characteristics of open living systems drawn from Haines (2018, building on the work of Ludwig von Bertalanffy). Continue reading

Ten things to know about how to influence policy with research

Community member post by Helen Tilley, Louise Shaxson, John Young, and Louise Ball

Helen Tilley (biography)

How can research influence public policy so that it is based on the best-available evidence? What different ways of working are required of researchers? Here are 10 things researchers from the UK’s Overseas Development Institute have found helpful.

1. Know what you want to influence

Being clear about the policy issue, theme or process you want to change is the first step to effective policy influencing. Are you looking to influence legislation, or a change in government policy? You might want to encourage greater investment in a certain programme or approach, or a change in practice. You might want to influence perceptions or attitudes, or the language people use around an issue. Continue reading

Incommensurability, plain difference and communication in interdisciplinary research

Community member post by Vincenzo Politi

Vincenzo Politi (biography)

Where does the term incommensurability come from? What is its relevance to interdisciplinarity? Is it more than plain difference? Does incommensurability need to be reconceptualized for interdisciplinarity?

Incommensurability: its origins and relevance to interdisciplinarity

‘Incommensurability’ is a term that philosophers of science have borrowed from mathematics. Two mathematical magnitudes are said to be incommensurable if their ratio cannot be expressed by a number which is an integer. For example, the radius and the circumference of a circle are incommensurable because their ratio is expressed by the irrational number π. Continue reading

Improving transdisciplinary arts-science partnerships

Community member post by Tania Leimbach and Keith Armstrong

Tania Leimbach (biography)

Collaborations with scientists have become a major focal point for artists, with many scientists now appreciating the value of building working relationships with artists and projects often going far beyond illustration of scientific concepts to instead forge new collaborative frontiers. What is needed to better “enable” and “situate” arts–science partnerships and support mutual learning?

Our research looked at the facilitation of arts–science partnerships through the investigation of two unique collaborative projects, developed at two geographically distinct sites, initiated by artist Keith Armstrong. One was enacted with an independent arts organisation in regional Australia and the other at a university art gallery in Sydney, Australia. Continue reading

Practical tips to foster research uptake

Community member post by Emily Hayter and Verity Warne

Emily Hayter (biography)

How can researchers and policy makers work together to foster more systematic uptake of research in policy making?

In a series of workshops at the European Commission Joint Research Centre’s Evidence and Policy Summer School on migration and demography, participants identified some of the most critical stages where scientists and policymakers interact: problem definition, research process, and communication of results. We then built up a bank of practical ideas and suggestions for each stage. Continue reading