The results are in: observations are not improving teaching and learning. Pertinently, the Gates Foundation’s recently completed effort to improve student outcomes through enhancing the teacher evaluation process failed to achieve substantive improvement. The way observations are currently designed serve as an obstacle to teacher risk-taking. Teachers fear negative evaluations when their pedagogy is rated, and they lack faith in being supported by supervisors because a trusting relationship between them and their observer has not been built. Trust-Based Observations: Maximizing Teaching and Learning Growth is a schema changing evaluation model that understands people perform at their best when they feel safe and supported. It begins with twelve, 20 minute observations per week followed by collegial conversations driven by reflective questions, sharing observed teaching strengths, and the building of safe and trusting relationships with teachers. Add the elimination of rating pedagogical skills and replace it with rating mindset, and teachers trust. When teachers fully embrace risk-taking and innovation, it leads to remarkable teaching transformations and improved student learning.

Modeling as used in social science and in particular in de­mography, is a complicated process. Modeling population dynamics has traditionally been the central branch of mathematical biology, and counts more than 210 years of history, notwithstanding the recent expansion of this sci­ence's scope. The first principle of population dynamics is widely regarded as the exponential law of Malthus, as modeled by the Malthusian growth model. The early period was dominated by de­mographic studies such as the work of Benjamin Gompertz and Pierre François Verhulst in the early 19th century, who refined and adjusted the Malthusian demographic model. In this volume, dedicated to the 250th anniversary of Thomas R. Malthus, we publish seve­ral modern analyses that illustrate the honored place the Malthus's work occupies in the science of demographic modeling. Editors: Maxime Seveleu-Dubrovnik and William R. Nelson