Browsing Institute for Data, Systems, and Society by Title
Now showing items 1-20 of 71
-
Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions
(Entropy, 2021-06-24)A critical question relevant to the increasing importance of crowd-sourced-based finance is how to optimize collective information processing and decision-making. Here, we investigate an often under-studied aspect of the ... -
Adaptive social networks promote the wisdom of crowds
(Proceedings of the National Academy of Sciences, 2020-05-11)Social networks continuously change as new ties are created and existing ones fade. It is widely acknowledged that our social embedding has a substantial impact on what information we receive and how we form beliefs and ... -
An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection
(Scientific Reports, 2020-01-08)Bees play a key role in pollination of crops and in diverse ecosystems. There have been multiple reports in recent years illustrating bee population declines worldwide. The search for more accurate forecast models can aid ... -
Are You Your Friends’ Friend? Poor Perception of Friendship Ties Limits the Ability to Promote Behavioral Change
(PLOS ONE, 2016-03-22)Persuasion is at the core of norm creation, emergence of collective action, and solutions to ‘tragedy of the commons’ problems. In this paper, we show that the directionality of friendship ties affect the extent to which ... -
Assessing data intrusion threats—Response
(Science, 2015-04-10) -
Association between COVID-19 outcomes and mask mandates, adherence, and attitudes
(PLoS ONE, 2021-06-23)We extend previous studies on the impact of masks on COVID-19 outcomes by investigating an unprecedented breadth and depth of health outcomes, geographical resolutions, types of mask mandates, early versus later waves and ... -
Bayesian collective learning emerges from heuristic social learning
(Cognition, 2021-07)Researchers across cognitive science, economics, and evolutionary biology have studied the ubiquitous phe- nomenon of social learning—the use of information about other people’s decisions to make your own. Decision- making ... -
Can an Emoji a Day Keep the Doctor Away? An Explorative Mixed- Methods Feasibility Study to Develop a Self-Help App for Youth With Mental Health Problems
(Frontiers in Psychiatry, 2019-08-23)Today’s smartphones allow for a wide range of “big data” measurement, for example, ecological momentary assessment (EMA), whereby behaviours are repeatedly assessed within a person’s natural environment. With this type of ... -
Can an Emoji a Day Keep the Doctor Away? An Explorative Mixed-Methods Feasibility Study to Develop a Self-Help App for Youth With Mental Health Problems
(Frontiers in Psychiatry, 2019-08-23) -
Comment to U.S Copyright Office on Data Provenance and Copyright
(U.S. Copyright Office, 2023-11-01)Scholars have paid much attention to the copying of raw data to train and develop machine learning models. Many have argued that such use of raw data, derived either directly from the internet or from a dataset, is protected ... -
Computational social science: Obstacles and opportunities
(Science, 2020-08-28) -
Contextual centrality: going beyond network structure
(Scientific Reports, 2020-06-10)Centrality is a fundamental network property that ranks nodes by their structural importance. However, the network structure alone may not predict successful diffusion in many applications, such as viral marketing and ... -
Contextualizing Human Psychology
(Technology, Mind, and Behavior, 2020-08-29)The study of psychology has been handicapped by the difficulty of measuring how individual traits affect interactions with the surrounding social structures and how this interaction affects both individual life outcomes ... -
COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour
(Journal of the Royal Society Interface, 2021-03-31)Countries and cities around the world have resorted to unprecedented mobility restrictions to combat COVID-19 transmission. Here we exploit a natural experiment whereby Colombian cities implemented varied lockdown policies ... -
Digital trade coin: towards a more stable digital currency
(Royal Society Open Science, 2018-07-18)We study the evolution of ideas related to creation of asset-backed currencies over the last 200 years and argue that recent developments related to distributed ledger technologies and blockchains give asset-backed currencies ... -
Diversity of Idea Flows and Economic Growth
(Journal of Social Computing, 2020-09)What role does access to diverse ideas play in economic growth? New forms of geo-located communications and economic data allow measurement of human interaction patterns and prediction of economic outcomes for individuals, ... -
Driver behavior profiling: An investigation with different smartphone sensors and machine learning
(PLOS ONE, 2017-04-10)Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated ... -
Economic outcomes predicted by diversity in cities
(EPJ Data Science, 2020-06-24)Much recent work has illuminated the growth, innovation, and prosperity of entire cities, but there is relatively less evidence concerning the growth and prosperity of individual neighborhoods. In this paper we show that ... -
Ethical machines: The human-centric use of artificial intelligence
(iScience, 2021-03-19)