14,438 research outputs found
Workflow at NSF
This project focuses on improving workflow at the National Science Foundation. The process used to review submitted proposals currently has multiple opportunities for enhancement. Through the methods of interviewing and observation we identified tasks in the process that could be more easily done. We worked to automate these tasks through the use of Microsoft software, specifically Microsoft SharePoint and InfoPath 2007. These products allowed us to make improvements in the review process, specifically the part that deals with the set up of panels. We were able to automate certain tasks and centralize most essential data in one repository. At the end of this project we presented the National Science Foundation with a working system that made the management of panels easier
Center-commissioned external review of International Water Management Institute: Consolidated report, 19-29 May 2003
Agricultural research / Research institutes / Research policy / Research priorities / Planning / Monitoring / Evaluation / Financial resources / Gender
Advanced Graduate Certificate in Professional Science Administration
The certificate in Professional Science Administration consists of the 12 credits: 9 credits of âplusâ coursework from the existing Professional Science Masterâs track in Biology with an addition 3-credit elective chosen by advisement. The full PSM Masterâs track has received approvals from both the SUNY program review office, and the NYSED, and recruitment of students for Fall 2010 has begun
Knowledge aggregation in people recommender systems : matching skills to tasks
People recommender systems (PRS) are a special type of RS. They are often adopted to identify people capable of performing a task. Recommending people poses several challenges not exhibited in traditional RS. Elements such as availability, overload, unresponsiveness, and bad recommendations can have adverse effects. This thesis explores how peopleâs preferences can be elicited for single-event matchmaking under uncertainty and how to align them with appropriate tasks. Different methodologies are introduced to profile people, each based on the nature of the information from which it was obtained. These methodologies are developed into three use cases to illustrate the challenges of PRS and the steps taken to address them. Each one emphasizes the priorities of the matching process and the constraints under which these recommendations are made. First, multi-criteria profiles are derived completely from heterogeneous sources in an implicit manner characterizing users from multiple perspectives and multi-dimensional points-of-view without influence from the user. The profiles are introduced to the conference reviewer assignment problem. Attention is given to distribute people across items in order reduce potential overloading of a person, and neglect or rejection of a task. Second, peopleâs areas of interest are inferred from their resumes and expressed in terms of their uncertainty avoiding explicit elicitation from an individual or outsider. The profile is applied to a personnel selection problem where emphasis is placed on the preferences of the candidate leading to an asymmetric matching process. Third, profiles are created by integrating implicit information and explicitly stated attributes. A model is developed to classify citizens according to their lifestyles which maintains the original information in the data set throughout the cluster formation. These use cases serve as pilot tests for generalization to real-life implementations. Areas for future application are discussed from new perspectives.Els sistemes de recomanaciĂł de persones (PRS) sĂłn un tipus especial de sistemes recomanadors (RS). Sovint sâutilitzen per identificar persones per a realitzar una tasca. La recomanaciĂł de persones comporta diversos reptes no exposats en la RS tradicional. Elements com la disponibilitat, la sobrecĂ rrega, la falta de resposta i les recomanacions incorrectes poden tenir efectes adversos. En aquesta tesi s'explora com es poden obtenir les preferències dels usuaris per a la definiciĂł d'assignacions sota incertesa i com aquestes assignacions es poden alinear amb tasques definides. S'introdueixen diferents metodologies per definir el perfil dâusuaris, cadascun en funciĂł de la naturalesa de la informaciĂł necessĂ ria. Aquestes metodologies es desenvolupen i sâapliquen en tres casos dâĂşs per il¡lustrar els reptes dels PRS i els passos realitzats per abordar-los. Cadascun destaca les prioritats del procĂŠs, lâencaix de les recomanacions i les seves limitacions. En el primer cas, els perfils es deriven de variables heterogènies de manera implĂcita per tal de caracteritzar als usuaris des de mĂşltiples perspectives i punts de vista multidimensionals sense la influència explĂcita de lâusuari. Això sâaplica al problema d'assignaciĂł dâavaluadors per a articles de conferències. Es presta especial atenciĂł al fet de distribuir els avaluadors entre articles per tal de reduir la sobrecĂ rrega potencial d'una persona i el neguit o el rebuig a la tasca. En el segon cas, les Ă rees dâinterès per a caracteritzar les persones es dedueixen dels seus currĂculums i sâexpressen en termes dâincertesa evitant que els interessos es demanin explĂcitament a les persones. El sistema s'aplica a un problema de selecciĂł de personal on es posa èmfasi en les preferències del candidat que condueixen a un procĂŠs dâencaix asimètric. En el tercer cas, els perfils dels usuaris es defineixen integrant informaciĂł implĂcita i atributs indicats explĂcitament. Es desenvolupa un model per classificar els ciutadans segons els seus estils de vida que mantĂŠ la informaciĂł original del conjunt de dades del clĂşster al que ell pertany. Finalment, sâanalitzen aquests casos com a proves pilot per generalitzar implementacions en futurs casos reals. Es discuteixen les Ă rees d'aplicaciĂł futures i noves perspectives.Postprint (published version
Open Peer Review by a Selected-Papers Network
A selected-papers (SP) network is a network in which researchers who read, write, and review articles subscribe to each other based on common interests. Instead of reviewing a manuscript in secret for the Editor of a journal, each reviewer simply publishes his review (typically of a paper he wishes to recommend) to his SP network subscribers. Once the SP network reviewers complete their review decisions, the authors can invite any journal editor they want to consider these reviews and initial audience size, and make a publication decision. Since all impact assessment, reviews, and revisions are complete, this decision process should be short. I show how the SP network can provide a new way of measuring impact, catalyze the emergence of new subfields, and accelerate discovery in existing fields, by providing each reader a fine-grained filter for high-impact. I present a three phase plan for building a basic SP network, and making it an effective peer review platform that can be used by journals, conferences, users of repositories such as arXiv, and users of search engines such as PubMed. I show how the SP network can greatly improve review and dissemination of research articles in areas that are not well-supported by existing journals. Finally, I illustrate how the SP network concept can work well with existing publication services such as journals, conferences, arXiv, PubMed, and online citation management sites
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