California and Israel are prone to both droughts and earthquakes. Yet the two types of disasters have very different attributes. While earthquakes are sudden, deadly and threaten mainly urban centers, droughts are slowly evolving, often multi-year, affect mainly farming and natural ecosystems with very little effects on the urban fabric. In this talk, I discuss the extent to which Israel is resilient to these two diametrically opposed types of disasters.
Through the implementation of a wide set of policy tools, most recently large-scale seawater desalination, Israel has largely decoupled itself from the effects of droughts (with the exception of the Jordan River basin). Israel has also invested much effort in immediate responses to earthquakes. However, little has been done in Israel with regard to the retrofitting of older buildings – the buildings most likely to be affected by earthquakes. Thus, the most effective measure to reduce casualties has lagged behind, as well as the preparation for the day after. Thus, the overall picture is that the highest risks are not addressed, while lesser risks are better addressed.
I explain these results from two perspectives – the first is the frequency of events and the second is the institutional structures in place. These explanations are hypothesized to be pertinent also in other settings.
Eran Feitelson is a professor at the Department of Geography of the Hebrew University of Jerusalem. He is the founder and first head of the Advanced School for Environmental Studies, a previous head of the Federmann School of Public Policy and Government and previous chair of the Department of Geography. He has published extensively in the fields of water policy, trans-boundary water, transport policy, land use planning, environmental policies and more recently earthquake preparedness. In addition to his academic work Eran Feitelson has participated in several national planning teams and has been a member of various national committees. He also serves for the second time as chair of the Israeli National Parks and Nature Reserves Commission.
This presentation focuses on the utility of big data sources to provide unique real time information on common and not-so-common infectious diseases. We will examine how the age of ‘digital epidemiology’ allows us to track disease spread and provides information pertinent to assessing clinical parameters such as the severity of infections using search and social media. We will also assess how both information and ‘misinformation’ feeds into public perceptions and resulting actions in the face of an infectious disease outbreak.
Eyal Oren is Associate Professor of Epidemiology at San Diego State University, with training as an infectious disease, spatial and social epidemiologist. He has extensive experience in epidemiological and clinical research, working on the effective adoption of interventions in the community as well as in developing evidence-based strategies and practices from secondary data analyses and novel data sources. He is particularly interested in using crowd-sourced and participatory data to enhance population health research. He holds a PhD and MS in epidemiology from the University of Washington.
Dr. Pryde will talk informally about how both the Department at SDSU, and the discipline of Geography in general, have changed since he arrived on Campus in 1969. He will also look at attractive future scenarios for the discipline. Dr. Pryde always saves time for a robust question and answer period.
Dr. Philip Pryde is a Professor Emeritus at SDSU, where he taught courses in environmental policy for 32 years. His specialties were water resources, energy resources, land use planning, and environmental impact analysis.
Establishing environmental flow targets is a priority for numerous programs in California. Although methods vary based on the ecological endpoint of management concern (e.g. fish, macroinvertebrates, habitat), stream type, and preferences of the implementing agency, each effort aims to determine flow conditions necessary to protect ecological integrity in light of competing water uses. Unfortunately, lack of coordination among programs and efforts leads to inefficiencies, difficulty in comparing approaches, inability to share outputs, and creates potential for competing recommendations.
A statewide technical workgroup has convened to develop a framework for organizing environmental flow analyses across California and provide consistent science-based recommendations for applying appropriate methods to inform setting and managing of environmental flows. The California Environmental Flows Framework (CEFF) is a step-wise approach that promotes consistency and coordination in establishing, maintaining, and monitoring in-stream flow requirements for California. The overall goal of this effort is to support various regulatory and management agencies in developing and implementing local, regional, and statewide in-stream flow targets to protect aquatic life beneficial uses. Southern California case studies will be highlighted to illustrate urban water use challenges, and optimizing flows for ecological and human uses.
Kris Taniguchi-Quan is a scientist at Southern California Coastal Water Research Project (SCCWRP).
Movement is the driving force behind the form and function of many ecological and human systems. Identification and analysis of patterns of movement that may relate to the behavior or interactions of individuals is a fundamental first step in understanding these systems. Ubiquitous collection of geo-enriched tracking data necessitates new approaches for the analysis and sense-making of large and multidimensional arrays of information about movement of individuals, goods, vehicles and other mobile agents in space and time. To take advantage of the evolution in our data, effective representations and analytical approaches are necessary to reveal and communicate important patterns in spatiotemporal data sets and inform us about the processes involved in social and ecological systems. This study presents a data science framework and attendant methods for analysis, modeling, and mapping movement as a multidimensional process that involves space, time, context, and scale.
Somayeh serves as Assistant Professor of Spatial Data Science in the Department of Geography at the University of California, Santa Barbara. She received her PhD in Geography with a specialization in Geographic Information Science (GIScience) from the University of Zurich, Switzerland in October 2011. She holds a MS degree in GIS Engineering and a BS degree in Geomatics Engineering from the KNT University of Technology, Iran. Somayeh’s research focuses on developing data analytics, knowledge discovery, modeling, and visualization techniques to study movement. Her research applies spatial data science and computational approaches to advance the knowledge and understanding of how movement patterns are formed in dynamic natural and human systems. She has published in a number of high-ranked international journals such as Methods in Ecology and Evolution, International Journal of Geographic Information Science, Philosophical Transactions of the Royal Society B,