Two Blind Mice: It Is Time for Greater Collaboration between Engineers and Social Scientists around the RDD &amp; D of Industrial Technologies

Jones, Christopher R.; Jones, Allan R.

doi:10.3390/c2020016

Cited by 8 publications

(6 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Notwithstanding tensions between these communities, we show there could be value in the unification of the technologies from a public perception angle. More generally, our findings speak also to the need for greater collaboration between social scientists and the engineering community around the research, development and deployment of new technologies (Jones and Jones, 2016). We show here how social scientific theories (e.g., framing) can shed light on how information about emerging technologies like CCS and CDU are conveyed to a public audience and the implications this has for public support for their deployment in a number of countries.…”

Section: Discussionmentioning

confidence: 56%

Framing effects on public support for carbon capture and storage

2019

View full text Add to dashboard Cite

Carbon Capture and Storage (CCS) involves trapping carbon dioxide (CO 2) from power generation and heavy industrial processes and directing it into long-term geological storage (e.g., in depleted oil fields or saline aquifers). In doing so, CCS could facilitate global carbon abatement efforts. Yet, it remains controversial with high-profile public opposition to particular CCS developments. For instrumental, normative and substantive reasons, it is increasingly recognised that public acceptance of CCS as a vital precondition for its commercial-scale rollout. While much is known about factors influencing public support for CCS, relatively few cross-national studies have so far been undertaken. Here, we present findings from a large-scale international experimental study of public perceptions of CCS, to examine how individual, geographical and informational factors influence support for CCS. In particular, we compare the lens through which CCS is seenas a 'techno-fix' climate change solution, as reusing a waste product (through Carbon Dioxide Utilisation [CDU]), or as part of a systemic approach to climate change mitigation. Pairing CCS with CDU led to higher support for CCS, although information frames interacted with national and individual-level factors. Depending on which CCS lens is chosen, different groups will be more or less likely to support CCS implementation. As with other issues, targeting CCS information to audience values is likely to be more effective than untargeted communication. Our findings also show mentioning (modest) costs of deploying CCS can lead to lower support. Discussing CCS costs should be done in the context of costs of broader energy system transformation and of not mitigating climate change so that the public can deliberate over the relative risks and benefits of CCS and alternatives in the context of broader sustainability pathways.

show abstract

Section: Discussionmentioning

confidence: 56%

Framing effects on public support for carbon capture and storage

2019

View full text Add to dashboard Cite

show abstract

“…We suggest that the most likely route to ensuring relevance and impact in Parliament is by working with staff within diverse parliamentary sites. Through ongoing engagement that is open to different ways of thinking and producing knowledge (Jones and Jones, 2016) academics can become attuned to the knowledge requirements of Parliament, ensuring they produce materials useful for parliamentary actors and academia alike. Of course, this is a two-way street, where legislators and parliamentary staff would benefit from more exposure to research priorities and literacy.…”

Section: Discussionmentioning

confidence: 99%

A recipe for impact? Exploring knowledge requirements in the UK Parliament and beyond

Geddes

Dommett

Prosser

2018

Evidence and Policy

View full text Add to dashboard Cite

In the context of ongoing debates around academic engagements with policymakers, this article discusses how academics can successfully engage with the often overlooked institution of Parliament. We argue that the UK Parliament is not a homogeneous organisation but has differing knowledge requirements for different parliamentary sites. While there are common barriers that need to be overcome by researchers, there is no universal recipe that will ensure successful research impact. We argue that there are different forms of engagement likely to lead to influence, and that co-production is the most important way by which academics can engage with Parliament.

show abstract

“…When engineering and social science are discussed in an interdisciplinary context, the focus usually is on the value the latter can bring to the former. Good engineering ideas have sometimes foundered on simple failures to appropriately understand and engage with those within society meant to utilize the technology [4]. Such failures could have been avoided if engineers and social scientists had collaborated at an early stage.…”

Section: Introductionmentioning

confidence: 99%

Re-Establishing a Lost Connection: Multi-Value Logic in Causal Data Analysis in Social Science Disciplines

2023

View full text Add to dashboard Cite

The main purpose of logic optimization lies in architecting integrated switching circuits. It is thus a topic well covered in electrical engineering. Some subfields of the social sciences have also employed algorithms for logic optimization since the mid-1980s to infer about cause-effect relations. Most notably, political scientists and sociologists have developed Qualitative Comparative Analysis (QCA), a configurational comparative method (CCM) that relies on the well-known Quine-McCluskey algorithm. However, while electrical engineering has progressed considerably since the advent of logic optimization in the 1950s, these advancements have not been monitored by social scientists. Nor have social scientists sought to establish interdisciplinary collaboration. The objective of our article is twofold. First, and more generally, we seek to build a bridge between electrical engineering and configurational causal inference. Secondly, and more specifically, we present Combinational Regularity Analysis (CORA), a new CCM that has been inspired by electrical engineering. In particular, we introduce one of CORA's algorithms for optimizing highly unspecified multi-value logic functions with multiple outputs. The availability of such algorithms in CORA pushes the boundaries of configurational causal inference and attests to the extent to which configurational comparative methodology could benefit from more interdisciplinary collaboration with electrical engineering.

show abstract

Two Blind Mice: It Is Time for Greater Collaboration between Engineers and Social Scientists around the RDD & D of Industrial Technologies

Cited by 8 publications

References 24 publications

Framing effects on public support for carbon capture and storage

Framing effects on public support for carbon capture and storage

A recipe for impact? Exploring knowledge requirements in the UK Parliament and beyond

Re-Establishing a Lost Connection: Multi-Value Logic in Causal Data Analysis in Social Science Disciplines

Contact Info

Product

Resources

About