Community at the Courts: Social and Community Interactions at Public Basketball Courts

Based on over 60 informal interviews conducted at two public basketball courts, this study utilizes grounded theory to trace class- and race-based differences in the social interactions occurring at both parks. By comparing social interactions between a white, middle class basketball court, and a black, lower class basketball court, I argue that social engagement is not be declining for all segments of society as some theorists suggest. Moreover, I argue that the relationships forged at the basketball court in a predominantly black, working-class neighborhood prove to be more meaningful and have deeper benefits than those forged at a basketball court in a white, middle-class neighborhood. I show that public places serve as a source of social status for participants of pick-up basketball and that social status stemming from pick-up basketball varies in importance based on the socioeconomic status of the participants. Further, I contend that public places in low-income neighborhoods can serve as a vehicle for establishing social networks in the surrounding community, affirming and maintaining status, and realizing personal fulfillment

Expansion of the crop ontology by adding cassava trait ontology

Poster presented at CGIAR Generation Challenge Programme, General Research Meeting. Hyderabad (India), 21-25 Sep 201

Registering and uploading datasets in the generation CP central registry

Poster presented at Generation Challenge Programme 2009 Annual Research Meeting. Bamako (Mali), 20-23 Sep 200

Development of GCP Ontology for sharing crop information

Poster presented at 3rd International Biocuration Conference. Berlin (Germany), 17 Apr 200

Ontology-driven International Maize Information System (IMIS) for Phenotypic and Genotypic Data Exchange

The Consultative Group on International Agricultural Research (CGIAR; http://www.cgiar.org/) centres have developed the International Crop Information System (ICIS; http://www.icis.cgiar.org) for the management and integration of global information on genetic resources, and germplasm improvement for any crop. The Maize breeding programs at CIMMYT (http://beta.cimmyt.org/) have different software tools to manage phenotypic, genotypic, and environmental information for their experiments generated worldwide. These tools have the capacity of collecting information in the field, wet lab, and store it into different relational databases. The IMIS (http://imis.cimmyt.org/confluence/display/IMIS/Crop+Finder) is an implementation of the ICIS, which is a computerized database system for general, integrated management and utilization of genealogy, nomenclature, genetic, phenotypic and characterization data for maize. Data exchange within and between databases as well as retrieving information are often hampered by the variability of terms used to describe comparable objects. To overcome this problem, the Crop Ontology (CO) database (http://cropontology.org/) is developed. It provides controlled vocabulary sets for several economically important plant species and facilitates biocurators working in genebanks of plant genetic resources (PGR) and crop breeding data curation and annotation. The maize trait ontology is developed as one of subclasses of CO trait ontology providing standardized trait descriptions, scales and scale values implemented into the IMIS. This ontology-driven IMIS will allow researchers who wish to exploit comparative phenotypic and genotypic information of maize to elucidate functional aspects of each trait

Scanning and data extraction from crop collecting mission documents

Poster presented at TDWG 2009, Montpellier (France). 9 - 13 Nov 2009