Skip to content

Category: annotations

Quinn and Bederson – 2011 – Human computation: A survey and taxonomy of a growing field.

Summary: This paper proposes a standard definition and classification system for human computation based on a systematic literature review of computer science papers published by ACM.

Synthesis: Interesting approach that could be helpful to extension of T/R/H framework. See sections: Consider new dimension pairs and Invent new values for dimensions

Petersen & Büscher – 2018 – Intersecting Intelligence

Summary: Largely critical book chapter that strikes a need to re-frame humanitarian big data as a complex, socially contextualized artifact. Outlines the promise and peril of gathering collective intelligence (situational awareness), surveillance, and assessing big data from the perspective of the refugee crisis in Europe.

Synthesis: The chapter cites several works that bolster my research agenda of “Information is Humanitarian Aid.” Also addresses some finer points on threat surveillance that stems from how classifications and categories are framed. This issue also gets at post-colonial interpretations of people, places, and events. (See: Winner, Do Artifacts Have Politics? / Bowker and Star, Sorting things out: Classification and its consequences. / Irani, Post-Colonial Computing). The chapter doesn’t engage at all with temporal aspects of big data in crisis context.

Kittur, et al – 2013 – The future of crowd work

Summary: Classic CSCW paper that proposed a new framework to address crowd work management challenges. Kittur et al’s model incorporates 12 focus areas within 3 primary topic areas:

Crowd work processes: Workflow, task assignment, hierarchy, realtime crowd work, synchronous collaboration. quality control

Crowd computation: Crowds guiding AI, AIs guiding crowds, crowdsourcing platforms

Crowd worker future: Job design, reputation/credentials, motivation/rewards

Synthesis: I’m especially interested in the concept of synchronous collaboration as a way to explore sociotemporality in distributed work teams in real time. While largely unexplored in the paper, the approach supports both structured and unstructured collaborative projects in a temporal context which could be a helpful frame for my digital humanitarian time study.

A related concern for my work is on the quality of crowd work — both in terms of output and the crowd process, itself. This process improvement idea has some interesting design implications for improving temporal qualities of SBTF data:

• How is the volunteer thinking about time?
• Where does temporality enter into the data collection workflow?
• What metadata do they rely on?
• What is their temporal sensemaking approach?