#ESSPublishes: Rethinking #Neoliberalism: Resisting the Disciplinary Regmine co-edited by Prof Pavlovskaya


ESS Professor Marianna Pavlovskaya (@mpavlov) co-edited a new book entitled “Rethinking Neoliberalism: Resisting the Disciplinary Regime”.

Neoliberalism remains a flashpoint for political contestation around the world. For decades now, neoliberalism has been in the process of becoming a globally ascendant default logic that prioritizes using economic rationality for all major decisions, in all sectors of society, at the collective level of state policymaking as well as the personal level of individual choice-making. Donald Trump’s recent presidential victory has been interpreted both as a repudiation and as a validation of neoliberalism’s hegemony.

Rethinking Neoliberalism brings together theorists, social scientists, and public policy scholars to address neoliberalism as a governing ethic for our times. The chapters interrogate various dimensions of debates about neoliberalism while offering engaging empirical examples of neoliberalism’s effects on social and urban policy in the USA, Europe, Russia, and elsewhere. Themes discussed include:

  • Relationship between neoliberalism, the state, and civil society
  • Neoliberalism and social policy to discipline citizens
  • Urban policy and how neoliberalism reshapes urban governance
  • What it will take politically to get beyond neoliberalism.

Prof Pavlovskaya has a MA in geography from Moscow State University and a PhD in geography from Clark University. Her major fields include urban geography, feminist geography, and critical GIS (Geographic Information Science). Her current research examines neoliberalism and the production of economic difference in post-Soviet Russia, the role of the census, statistics, and geo-spatial data in constitution of the social body, the relationship between gender, class, and work-related migration, and the emergence of the solidarity economy in the United States. Her work appeared in the Annals of the American Association of Geographers, Geoforum, Europe-Asia Studies, Environment and Planning ACartographica, Urban Geography, and many edited volumes. She worked on international research projects with colleagues from Norway, Uganda, and Russia.

 

Additional GIS classes available for the Fall!

Lehman College Graduate-level courses for Fall 2017, appropriate for EES doctoral students: 

GEP 606: Raster Analysis (3 credits, 4 hours)

Focusing on the structure and the various ways in which raster data can created, modified, and analyzed using a Geographic Information System (GIS). Topics include surface analysis, multi-criteria/multi-objective evaluation, and map algebra. The course combines lectures with weekly laboratory exercises designed to apply the concepts from the lectures and to develop students’ expertise with GIS processing software.  Prerequisite: GEP 505 (an intro-level GIS course) or instructor’s permission.  Meets Mondays, from 6:00 – 9:30 PM, Prof. Machado

 

GEP 605 Environmental Analysis and Modeling with GISc (4 credits, 6 hours)

Use of Geographic Information Systems for conducting research and spatial analyses in the natural and social sciences. The advanced use of computer mapping and spatial analysis technologies for studying the physical and human components of the Earth environment.   This course will enable intermediate GIS users to expand their knowledge of current methodologies, and to prepare them to conduct more complex and meaningful analyses involving modeling and simulation.  The course will explore in depth the topic of Environmental Modeling and Spatial Analysis with GISc, and will give students the opportunity to design and develop a major GIS project.  Through a series of lectures, GIS laboratory work, and the design of a GIS project, students will learn more advanced GIS spatial techniques and their applications to environmental analysis and management, urban planning, risk and hazard assessment, and other arenas of public policy and decision-making.  Prerequisite: GEP 505 (an intro-level GISc course) or instructor’s permission.  Hybrid on-line, meets 6 or 7 Wednesdays, from 6:00 – 9:30 PM, Prof. Maantay

 

GEP 675 Data Acquisition and Integration Methods for GISc Analysis (3 credits, 4 hours)

The techniques and science behind field methods commonly used for the acquisition and creation of geo-spatial data. Various techniques for data capture as well as processing and analyzing the data within a geographic information system (GIS). Labs will focus on the hardware and software needed for data creation, the integration of this information into a coherent GIS, and basic concepts of analysis including point-pattern analysis. Students will use GPS devices, mobile GIS, workstation GIS, as well as data from other sources including satellite and airborne remotely sensed data.  Meets Thursdays, from 6:00 – 9:30 PM, Prof. Gorokhovich

 

New course offering: Scholarly Communication with Public Audiences

U ED 75100 — Scholarly Communication with Public Audiences, M 630 – 830, 3 Credits [36891].

Public scholarship translates research findings, policy analyses and theoretical perspectives into terms understandable to non-experts while maintaining content integrity.  This course will explore abounding opportunities and obligations for public scholarship while helping to improve  students’ ability to participate in multiple contexts including popularly-directed books, articles, op-eds and columns, print and broadcast interviews and press comments, expert testimony, and social media. Course work will emphasize student projects and workshop-style peer review.

Contact  Christine Saieh, APO for more information
Urban Education, Room 4202.04

Phone: 212-817-8282

http://www.gc.cuny.edu/Page-Elements/Academics-Research-Centers-Initiatives/Doctoral-Programs/Urban-Education

#EESPublishes: Dr. Karimi’s dissertation on urban heat island impact on human health available on @CUNYWorks!

Maryam Karimi‘s dissertation entitled “Impact of Urbanization on Temperature Variation in Big Cities: Measuring Health Risk While Targeting Vulnerable Population” is available on CUNY academic works!  Congratulations Dr. Karimi!   Dr. Karimi is continuing her work at the Columbia University Mailman School of Public Health as a Postdoctoral Research Fellow.  Her research focuses on understanding the structure of cities and temperature variations caused by surface changes in urban areas. She is working on developing models to predict environmental risk and social vulnerability. In addition, she is focused on the identification of environmental risk and social vulnerability associated with UHI and air pollution. She will be developing an air quality social and environmental vulnerability impact index to help identify population and neighborhoods that are at higher risks of vulnerability based on their socioeconomic status, living condition and neighborhood.

Abstract: Densely populated cities are experiencing Urban Heat Island (UHI) effects and localized hotspots. Cities, such as New York can form heat islands all year round. This is primarily due to land surface modifications, radiative trapping in urban canyons and lack of cooling through evapotranspiration caused by displaced trees and vegetation. UHI refers to an increase in air and surface temperature in cities compared to surrounding suburban and rural areas. Large scale environmental forcing can cause subdivisions of UHI throughout a city. The combined of environmental forcing effects lead to the formation of hot pockets within the cities at micro-scale. The adverse effect of UHI in highly dense populated cities ends in a higher number of emergency hospital admissions and heat-related illnesses. Studying UHI phenomenon and temperature variations within cities becomes even more important when global Earth temperature is on the rise. To better understand UHI within Manhattan Island in New York, an exploratory study was done using a three-month field campaign to measure high resolution (3m above the ground) spatial and temporal temperature variations within Manhattan’s urban setting. A street-level air temperature and humidity dataset with high resolution spatial and temporal components were created for the island of Manhattan, suitable for use by the urban health and modeling communities. It consists of a set of pedestrian measurements over the course of two summers converted into anomaly maps, and a set of ten light-post mounted installations measuring air temperature, relative humidity, and illumination at three-minute intervals over three months. These high time resolution temperature measurements and three months of the ‘model weather analysis data’ output of temperature and relative humidity were used to predict temperature variability from weather forecasts. This study shows that regression of weather variables can predict the amplitude of spatial and temporal variation in temperature within a city for different days. The amplitude of spatial variations was dependent on temperature and low-level lapse rate. Temporal variations were dependent on temperature, low level and mid-level lapse rates. This study puts the attention toward high resolution near surface air temperature analysis and offers a new look at surface thermal properties to find the impact effect of weather model data on air surface temperature. The application of this study is most suitable for forecast modelers who are looking to study the impact of weather and micro-scale climate on surface air temperature using weather variables. To further complete this study by looking at the impact of UHI on human health; a quantitative study was completed analyzing satellite imagery of the five boroughs of New York City (NYC). The influence of different surface types on mitigating UHI effect is investigated by looking at consistent physical properties of the urban system through a framework to highlight environmental and social vulnerabilities. The factors of interest include people, the environment, building and infrastructure. The satellite study revealed that increased levels of urbanization, with no methods of heat mitigation, resulted in higher average temperatures. Results show, neighborhoods of Manhattan, Queens and the Bronx are at the greatest risk of vulnerability and should be targeted for policy changes, implementation of green infrastructures and vegetation coverage to counteract the heating effects. Neighborhoods which need to be prioritized for urban planning due to high environmental risk in NYC include Harlem, Upper Manhattan, East Harlem, Elmhurst, Jamaica, Ridgewood, Bedford, University height and Woodlawn.

#EESpublishes: Check out Dr. Stephanie DeVries dissertation on nitrogen pollution!

Stephanie DeVries dissertation is available on CUNY academic works!  Congratulations Dr. DeVries!

Following a comprehensive review of the occurrence and impacts of antibiotics and related pharmaceutical compounds on the terrestrial N-cycle, three experiments were performed to explore the topic of biogeochemistry as a source or a sink for N-pollution. The first of these experiments addresses the question of whether environmentally relevant concentrations of antibiotics (µg·kg-1) have a significant effect on denitrification or N2O production, a question that has not been well addressed in previous studies. Having determined that there is a significant shift, the second study aims to comprehensively follow changes to soil N pools and N2O flux alongside biogeochemical reaction rates under different soil moisture conditions. The final chapter of this research, Chapter 5, looks to biogeochemistry as a solution for some of the water quality issues associated with excess N by quantifying the rate at which sand columns inoculated with lake sediment biodegrade undesirable taste/odor compounds and toxins produced by cyanobacterial algae that proliferate in nitrogen-rich waters.

The results of this work show that the balance between soil as a source or a sink of N pollutants can be significantly disturbed by sources beyond the obvious, i.e. antibiotics. It further shows that biogeochemical activity can serve as an effective treatment for secondary N-pollution. Additional research is encouraged to test the effects of additional antibiotics and by extending the incubation period to longer time periods. In particular, there also exists a need to examine the short and long-term effects of antibiotics on soil microbial community structure. While the present work shows that endemic bacteria can degrade nuisance compounds in N-polluted waters, the efficacy of this activity may also be affected by long-term antibiotic exposure in sediment. Genetic tools including GeoChip, will help to better constrain changes that are relevant to all aspects of these findings.

 

 

 

#EESpublishes: @GC_CUNY @CityCollegeNY Alumna Dr @mar_karimi & Prof #RezaKhanbilvardi on Surface T Variations in Urban Settings

Dr. Karimi and Dr. Khanbilvardi coauthored a paper entitled Predicting surface temperature variation in urban settings using real-time weather forecasts in Urban Climate.  Highlight include:

•Three months of field campaign data were collected to understand the inverse effect of UHI in Manhattan
•Measuring spatial and temporal temperature variation within urban setting of Manhattan
•Predicting temperature variability from weather forecast
•The lapse rates being the common dependent for both spatial and temporal variations Within Manhattan

Abstract: Densely populated cities experience adverse effects of Urban Heat Island (UHI) including higher numbers of emergency hospital admissions and heat related illnesses. Studying UHI effects and temperature variations has become even more important as global temperatures continue to rise. To better understand UHIs within New York City, an exploratory study was done using a field campaign to measure high resolution spatial and temporal temperature variations within Manhattan’s urban setting. These time correlated temperature measurements along with weather model data of temperature and relative humidity were used to predict temperature variability using weather forecasts. The amplitude of spatial variations was most dependent on temperature (r = 0.400) and low level lapse rate (r = − 0.258) while temporal variations were most dependent on temperature (r = 0.398), low level lapse rates (r = − 0.361), and mid-level lapse rate (r = − 0.320). Regression of weather variables can be used to predict the amplitude of spatial and temporal variation in temperature within a city for each day. This study directs attention towards high resolution near-surface air temperature analysis and offers a new look at surface thermal properties. The application of the resulting data and modeling is most suitable for forecasting microscale variability in urban settings.

Check out @GC_CUNY Prof @dlindo_atichati’s research cruise w/ @csinews women #undergrads!

 

Three of EES Professor Lindo Atochati’s CSI undergraduate students are participating on a marine research expedition in the Caribbean that he organized with his collaborators from NOAA and NASA.

That research project is important to understand the non-linear motions of seawater and nutrients near the shelf break, and at the same time is critical to manage two marine protected areas in the US Caribbean.

One of the students is doing outreach and writing an impressive real time blog entitled Ocean Expedition to the Virgin Islands, Undergraduate Women rocking science!

Check out the blog for updates and pictures:  https://morales63lm.wixsite.com/usvi

#EESpublishes: Prof #GillianStewart of @GC_CUNY @QC_News on Fe specie variability in #mesopelagic zone at #OceanStationPAPA

Professor Gillian Stewart of EES and Queens College coauthored a paper entitled, “Temporal variability of dissolved iron species in the mesopelagic zone at Ocean Station PAPA” in the Journal of Marine Science.

Highlights include:

• A dissolved Fe enhancement in the mesopelagic zone of the NE Pacific was observed.
• The anomaly was also evident in Fe(II) distribution with depth.
• Aerosol deposition from Siberian forest fires is the likely cause of the anomalies.
• Dissolved Fe at the surface was at background levels.
• There was no evidence of a phytoplankton bloom.

EES Student Spotlight: John Zayac

John Zayac is a Level II PhD student in the Earth and Environmental Sciences Program.  A native to California, John earned his B.S. in Earth Science from the University of California, Santa Cruz and his M.S. in Geological Sciences from the University of California, Santa Barbara.  He relocated to New York City three years ago and is currently living in Brooklyn.

John’s dissertation research seeks to characterize the mechanisms that cause volcanic systems to go critical, triggering an explosive eruption.  In October of 2016, he conducted a field research campaign in Nicaragua focusing on large, prehistoric eruptions of Volcán Cosigüina.  The most recent eruption of Cosigüina, in 1835, was six times larger than the 1980 Mount St. Helens eruption.  The eruption was well documented and dispersed ash across Central America, potentially as far away as Colombia and Jamaica.  Locally, the eruption was devastating, sending hot, dense clouds of ash and debris called pyroclastic flows down its slopes.

Using fine-scaled stratigraphy, John is applying a combination of field and analytical methods to study the state of the magma reservoir immediately prior to and during past eruptions in order to determine the potential eruption triggers.  The identification and understanding of eruption triggers is important to monitoring volcanic systems and to assessing the hazards associated with them.

There were three major factors that led to John’s decision to pursue his PhD at the Graduate Center.  First was the opportunity to tackle this Cosigüina project with his advisor, Professor Marc-Antoine Longpré.  Second, was the multidisciplinary nature of the Earth and Environmental Science Program.  The program encompasses a wide range of disciplines, including human geography, urban environmental science, and classical geology making it a good home for intellectually curious students.  The flexibility of the curriculum has also allowed John to take advantage of several amazing opportunities, such as attending a weeklong workshop on instrumentation at UCLA and participating in a three-week NSF Chief Scientist training cruise from Honolulu to San Diego aboard the R/V Sikuliaq in December of 2016.  The link to the greater CUNY system was the third major factor in his decision.  Prior to moving to New York, John worked as a community college geology professor in Los Angeles, California.  When choosing a university in which to pursue his PhD, John wanted to ensure that he would continue to have the opportunity to teach and mentor undergraduates in a diverse, public institution.

After graduation, John intends to seek out a faculty position at a public college or university where he can continue to combine his passion for delivering quality, undergraduate STEM education with his unending curiosity about explosive volcanic systems. 

Get your nomination in for the @cunydsc elections by 3/1!

The nominations ballot for 2017-2018 is now open from February 1- March 1.
You can see the list of all positions up for nomination, their descriptions and duties, as well as eligibility requirements, at http://cunydsc.org/elections/ .

You can nominate other registered students and/or yourself!

Any student enrolled may also make a nomination February 1- March 1 via email to ccsa@cunydsc.org. This is especially important for those who are enrolled this spring but weren’t enrolled in the fall, as well as new students. After students are contacted about their nominations in March, the elections ballot will be open April 1- May 1.

Further updates and details will be sent out shortly. If you have any questions, please contact the Co-Chair for Student Affairs, Cecilia Salvi, at ccsa@cunydsc.org.