Everyday human reasoning breaks down as the scale of time and space at play increases. Complex systems thinking gives us a new set of tools to better understand the chains of consequences involved, and make better decisions.
Examples from Agent-Based Modeling of Environmental Forcings on Mobility Agent-based modeling – in which system-level outcomes emerge from interactions among individuals and their environment – can provide unique insights in the study of livelihoods decision-making and adaptation responses to climate hazards and shocks. However, finding empirical support for the underlying behavioral assumptions in ABM can be a challenge. Data on decision-making is typically expensive to collect, or in some cases simply not possible – it can be hard to report on things (such as sea level rise, or other compound floods) that one hasn’t experienced yet. In this talk I present results and work in progress on a stakeholder-engaged approach to modeling environmental forcings on migration (applications to Bangladesh and Senegal), with a focus on data gaps in adaptation modeling and the frontier of opportunities (expert elicitation, through participatory methods and high-frequency data collecti
The neutral model of stone procurement developed by Brantingham (2003, 2006) provides a formal means to investigate the formation of lithic discard patterning under changing forager mobility conditions. This study modifies Brantingham's (2006) Lévy walk model to examine the influence of discard probability on the spatial distribution of raw material abundance. The model outcome shows that forager movement and tool discard probability have similar effects on the simulated patterns of raw material transport, so it is difficult - if not impossible - to differentiate the respective influence of the two factors from distance to source distributions alone. This finding of equifinality complicates the task of interpretating hominin mobility from archaeological distance to source data, particularly in settings such as the Middle-Upper Paleolithic transition, which is marked by an important reorganization in hominin lithic technology that may have affected stone tool discard probability.
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Qatari Deep Tech Startup ADGS Creates First of Its Kind Tool to Battle COVID-19
DOHA, Qatar, Jan. 14, 2021 /PRNewswire/ A Qatar-based Deep Technology startup, ADGS, is creating cutting edge research and development in behavioral data science that will provide a first of its kind tool in the fight against COVID-19. ADGS was founded with the mission to develop algorithms for computers to ethically reproduce human behavior. Using this technology, ADGS has developed a product that offers a major advancement in preventing the spreading of COVID-19. ADGS technologies address big societal challenges and will likely shape the way we solve some of the most pressing global problems, now and for the future, says CEO, Christophe Billiottet. These technologies have the power to create their own markets and disrupt existing industries.