Draw Your Own Visualization

The purpose of this activity is to learn about visualizations by designing and drawing one. Students draw a visualization based either on their interests and ideas about the world or based on actual GLOBE data. They are asked to justify the design choices they make and to interpret the visualizations of their peers. Intended outcomes are that students learn to identify and communicate important patterns in a dataset by drawing a visualization, and begin to interpret those patterns. Students select and specify colors, units, and ranges of values to communicate data effectively in a visualization. Educational levels: Middle school

Robust Draws in Balanced Knockout Tournaments

Balanced knockout tournaments are ubiquitous in sports competitions and are also used in decision-making and elections. The traditional computational question, that asks to compute a draw (optimal draw) that maximizes the winning probability for a distinguished player, has received a lot of attention. Previous works consider the problem where the pairwise winning probabilities are known precisely, while we study how robust is the winning probability with respect to small errors in the pairwise winning probabilities. First, we present several illuminating examples to establish: (a)~there exist deterministic tournaments (where the pairwise winning probabilities are~0 or~1) where one optimal draw is much more robust than the other; and (b)~in general, there exist tournaments with slightly suboptimal draws that are more robust than all the optimal draws. The above examples motivate the study of the computational problem of robust draws that guarantee a specified winning probability. Second, we present a polynomial-time algorithm for approximating the robustness of a draw for sufficiently small errors in pairwise winning probabilities, and obtain that the stated computational problem is NP-complete. We also show that two natural cases of deterministic tournaments where the optimal draw could be computed in polynomial time also admit polynomial-time algorithms to compute robust optimal draws

Draw your aggression

У статті розглядаються основні правила складання та структура аналітичного звіту практичного психолога навчального закладу за поточний навчальний рік. Автор звертає увагу на особливості аналітичного звіту, які необхідно враховувати під час його складання, на причини , що можуть стати на заваді виконанню запланованої роботи, надає приблизну схему звітуВ статье рассматриваются основные правила составления и структура аналитического отчета психолога учебного заведения за текущий учебный год. Автор обращает внимание на особенности аналитического отчета, которые необходимо учитывать при его составлении, на причины, которые могут помешать выполнению запланированной работы, предоставляет примерную схему отчетаThe article deals with the main rules of compilation and structure of the analytical report of the practical psychologist of the educational institution for the current academic year. The author draws attention to the peculiarities of the analytical report, which must be taken into account during its compilation, for reasons that may hinder the performance of the planned work, provides an approximate chart of the repor

The empirics of economic geography: How to draw policy implications?

Using both reduced-form and structural approaches, the spectrum of policy recommendations that can be drawn from empirical economic geography is pretty large. Reduced-form approaches allow the researchers to consider many variables that impact on regional disparities, as long as they are careful about interpretation and endogeneity issues. Structural approaches have the opposite advantages. Less issues can be simultaneously addressed, but one can be more precise in terms of which intuitions are considered and the underlying mechanisms and effects at work. Many regional policy issues remain unanswered, opening some interesting future lines of research.agglomeration economies; regional policy; structural estimation; instrumental variables