Peace Data Standard: A Practical and Theoretical Framework for Using Technology to Examine Intergroup Interactions

Abstract

The current paper presents a theoretical framework for standardizing Peace Data as a means of understanding the conditions under which people’s technology use results in positive engagement and peace. Thus, the main point of our paper is that Big Data can be conceptualized in terms of its value to peace. We define peace as a set of positive, prosocial behaviors that maximize mutually beneficial positive outcomes resulting from interactions with others. To accomplish this goal, we present hypothetical and real-world, data driven examples that illustrate our thinking in this domain and present guidelines for how to identify, collect, utilize, and evaluate Peace Data generated during mediated interactions and further suggest that Peace Data has four primary components: group identity information, behavior data, longitudinal data, and metadata. This paper concludes with a call for participation in a Peace Data association and suggested for guidelines for how scholars and practitioners can identify Peace Data in their own domains. Ethical considerations and suggestions for future research are also discussed.

Neighborhood Violence Impacts Disease Control and Surveillance: Case Study of Cali, Colombia from 2014 to 2016

“…While we do not suggest that increased homicide rates themselves drive increased mosquito-borne disease rates, the correlation shown here underscores the need for integrated vector control; environmental health; and a community approach to holistically improve public health. New data shows peace-generation may be incentivized using a system similar to carbon credits [ 117 ]. Furthermore, the NGO Cure Violence believes that violence can be treated as an infectious disease using a Health Violence Cure Model which is being implemented in over 60 communities in twenty-five U.S. cities and five continents [ 26 ] with success rates up to 70% [ 118 ].…”

Does Intercultural Contact Increase Anti-Racist Behavior on Social Network Sites?

“…In the few last years, the empirical attention on online intergroup contact has increased, as well as online contexts or platforms that facilitate contacts between different cultures or groups (i.e., Peace Data; Guadagno et al 2018). Online intergroup contact (White et al 2015) has been defined as "computer-mediated contact involving an engagement of Self in intergroup relations" (White and Abu-Rayya 2012, p. 598).…”

Commentary: Principles, Approaches and Challenges of Applying Big Data in Safety Psychology Research

“…Nevertheless, the paper provides input to wonder why we should limit our scope to the safety domain and not including other ones into the big data of psychology discourse. Examples of big data applications are identifiable in numerous areas of psychology, such as organizational (Guzzo et al, 2015;Tonidandel et al, 2016), educational (aka learning analytics; Watson and Christensen, 2017;Maldonado-Mahauad et al, 2018;Viberg et al, 2018;Elia et al, 2019;Shorfuzzaman et al, 2019), marketing (Hopp and Vargo, 2017;Matz and Netzer, 2017;Erceg et al, 2018;Ibrahim and Wang, 2019), personality (Bleidorn et al, 2017;Boyd and Pennebaker, 2017;Gerlach et al, 2018;Hinds and Joinson, 2019), emotion (aka affective computing; D'Mello et al, 2018; Chatterjee et al, 2019; Gruda and Hasan, 2019), psycholinguistics (Ridgeway et al, 2017;Johns, 2019;Luo et al, 2019), clinical (Anestis et al, 2016;Russ et al, 2018), cognitive (Medina and Fischer-Baum, 2017;Bhatia and Walasek, 2019), community (O'Brien, 2016), group (Guadagno et al, 2018), music (Greenberg and Rentfrow, 2017), political (Ma-Kellams et al, 2018), and positive psychology (Luhmann, 2017;Yaden et al, 2018). Additionally, the representation of BDSP as being the intersection of safety science, data science, and psychology, seems to equally fit other psychology branches.…”