Young Scholars Interdisciplinary Forum
The Young Scholars Interdisciplinary Forum (YSIF) is open to current Fox School faculty and PhD students for seed funding grants to undertake novel interdisciplinary research projects. The traditional YSIF seed funding grants in the amount of $500 to $5,000, with an annual amount of $50,000, will be available for proposal submission groups seeking small or medium outside funding grants. These seed funding grants are available to encourage and support early stages of interdisciplinary collaborative research. Funding amounts are based on the particular needs of the research, as well as the proposal group’s plans for seeking additional funding sources, both from within Temple University and from outside sources. Future plans for conference presentations or submissions to specific journals will also be considered.
Proposal submissions from teams who will be seeking medium to large grants from external funding sources (from funders such as Knight Foundation, NSF, DOE) will be eligible for large YSIF seed-funding grants in the amounts of $5,000 to $10,000.
Consistent with the purpose of the school-wide interdisciplinary forum for Young Scholars, the seed funding aims to facilitate interdisciplinary collaborative research projects that span several disciplines within and outside the Fox School. Please note, not all proposal submissions are eligible to participate in the Young Scholars Forum.
All applications should be sent by email to the Fox School’s Office of Research (FoxResearch@temple.edu). At least one member of the research team must be able to present the proposal during the announced Young Scholars Interdisciplinary Forum.
Please note: A student or faculty member may submit more than one proposal for different research projects, but no student or faculty member is permitted to present twice during the forum.
Criteria for Submission
Each proposal submission should explain how the project builds on the applicants’ previous research work, seeks to extend their research into new directions, and intends to enhance professional development.
Each proposal group should submit a formal budget for the proposed research project, including a funding request from the Young Scholars forum, and a description of where funds will be allocated. In addition, applicants should note their plans for seeking additional funding sources, both from within Temple University and from outside sources, and include future plans for conference presentations or submissions to specific journals.
Each proposal submission must include the following:
- A research project title
- Names and affiliations of all authors
- An abstract
- Proposal of at least one page in length, which includes the above information
- A budget for the requested seed funding, with specific plans for seeking additional funding
- Specification to which faculty member the awarded funds should be transferred
- A CV for each of the authors
FOX Research Seed Funding Program
The Fox School of Business Office of Research and Doctoral Programs is accepting proposals for the Spring 2017 seed-funding program. The program is designed to infuse applied research projects with the necessary funding to establish proof-of-concept for a scalable enterprise, complete a pilot study, or overcome a developmental hurdle or a technical challenge. The Office of Research expects the Seed Funding Program to establish complementary and interdisciplinary partnerships with faculty that will result in the development of future externally-funded research programs. These projects must make use of large data sets and involve the collaboration between data science and technology. Projects that are funded will receive support for individual projects in the range of $5,000 to $20,000, with the goal of yearly funding under this program to reach upwards of $50,000.
Sponsored Funding Opportunities (NSF, Other Federal Agencies, Foundations)
The Office of Research, Doctoral Programs, and Strategic Initiatives curates a database of funding opportunities available to scholars across several areas of business research. The following list of resources can lead you to funding opportunities from the public and private sectors.
1) American Hotel and Lodging Educational Foundation: The Foundation provides resources for research projects that ensure continued growth and opportunities for the industry and employees, which in turn benefit our guests. Unsolicited applications are accepted three times a year—March 15, June 15, and September 15—from individuals or organizations wishing to conduct research in the lodging industry.
2) Cisco Systems: Cisco Research Centers: The Cisco Research Center (CRC) connects university researchers with Cisco. The CRC supports gift awards to universities based on research proposals from faculty and helps graduate students to identify internships and full-time employment opportunities. Applications will be reviewed on a rolling basis.
3) Equipment Leasing & Finance Foundation: The Equipment Leasing & Finance Foundation is pleased to be able to make statistical data available to approved researchers to help further research within the equipment finance industry. The Foundation is able to provide access to two different statistical databases, each capturing thousands of data points on equipment finance transactions and benchmarking activity such as profitability, business volume, and much more. Application deadlines are the 1st of each month.
4) Family Firm Institute: The Family Firm Institute offers several award opportunities. To learn more about each opportunity, click the links below:
Best Unpublished Research Paper
Best Doctoral Dissertation Award
5) FINRA Investor Education Foundation General Grant Program: Through its grant program, the FINRA Investor Education Foundation funds research and educational projects that support its mission of providing underserved Americans with the knowledge, skills, and tools necessary for financial success throughout life. Applications are reviewed on a rolling basis.
6) Global Innovation Fund: The Global Innovation Fund invests in social innovations that aim to improve the lives and opportunities of millions of people in the developing world. Through our grants and risk capital, we support breakthrough solutions to global development challenges from social enterprises, for-profit firms, non-profit organizations, international organizations, researchers, and government agencies. Applications are reviewed on a rolling basis.
Pivot’s Community of Science is a web-based comprehensive database of global funding sources. Temple University subscribes to this service and with your Temple University ID you have access to this powerful search engine and the resources to help you find research sponsors.
Grants.gov is the portal to the United States government listing of potential funding opportunities. You can search by agency or keywords.
The National Science Foundation (NSF)
The National Science Foundation (NSF) often funds research relevant to the fields of business and administration. For more information on these programs, please explore the funding opportunities listed below.
If you require more information about NSF funding, or any of its grant-funding programs, please contact Joseph Ryan, Senior Associate Director of Research and Administration.
While notions of volume, velocity, and variety are commonly ascribed to big data problems, other key issues include data quality and provenance. Data-driven solutions must carefully ascribe quality and provenance to results in a manner that is helpful to the users of the results. For example, in some cases, such as in education research, data quality may aggregate to test or measurement instrument quality, where a composite of variables may be used to describe one or more constructs.
In addition to approaches such as search, query processing, and analysis, visualization techniques will also become critical across many stages of big data use–to obtain an initial assessment of data as well as through subsequent stages of scientific discovery. Research on visualization techniques and models will be necessary for serving not only the experts, who are collecting the data, but also those who are users of the data, including “cross-over” scientists who may be working with big data and analytics for the first time, and those using the data for teaching at the undergraduate and graduate levels. The BIGDATA program seeks novel approaches related to all of these areas of study.
Before preparing a proposal in response to this BIGDATA solicitation, applicants are strongly urged to consult other related programs and solicitations and review the respective NSF program officers listed in them should those solicitations be more appropriate. In particular, applicants interested in deployable cyberinfrastructure pilots that would support a broader research community should see the Campus Cyberinfrastructure – Data, Networking, and Innovation Program (CC*DNI) program. Applicants should also consider the Computational and Data Enabled Science and Engineering (CDS&E) program for work not specifically addressing big data issues, and the Exploiting Parallelism and Scalability (XPS) program for work focused on scaling of software.
Cyberspace has transformed the daily lives of people for the better. The rush to adopt cyberspace, however, has exposed its fragility and vulnerabilities: corporations, agencies, national infrastructure and individuals have been victims of cyber-attacks. In December 2011, the National Science and Technology Council (NSTC) with the cooperation of NSF issued a broad, coordinated federal strategic plan for cybersecurity research and development to “change the game,” minimize the misuses of cyber technology, bolster education and training in cybersecurity, establish a science of cybersecurity, and transition promising cybersecurity research into practice. This challenge requires a dedicated approach to research, development, and education that leverages the disciplines of mathematics and statistics, the social sciences, and engineering together with the computing, communications and information sciences.
The Secure and Trustworthy Cyberspace (SaTC) program welcomes proposals that address Cybersecurity from a Trustworthy Computing Systems (TWC) perspective and/or a Social, Behavioral and Economic Sciences (SBE) perspective (see “Perspectives”). In addition, we welcome proposals that integrate research addressing both of these perspectives as well as proposals focusing entirely on Cybersecurity Education (see below). Proposals may be submitted in one of the following three categories:
Computer & Information Science & Engineering
The complexities of brain and behavior pose fundamental questions in many areas of science and engineering, drawing intense interest across a broad spectrum of disciplinary perspectives while eluding explanation by any one of them. Rapid advances within and across disciplines are leading to an increasingly interconnected fabric of theories, models, empirical methods and findings, and educational approaches, opening new opportunities to understand complex aspects of neural and cognitive systems through integrative multidisciplinary approaches.
This program calls for innovative, integrative, boundary-crossing proposals that can best capture those opportunities. NSF seeks proposals that are bold, risky, and transcend the perspectives and approaches typical of single-discipline research efforts. This cross-directorate program is one element of NSF’s broader effort directed at Understanding the Brain, a multi-year activity that includes NSF’s participation in the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative (http://www.nsf.gov/brain/). NSF envisions a connected portfolio of transformative, integrative projects that create synergistic links across investigators and communities, yielding novel ways of tackling the challenges of understanding the brain in action and in context.
In this second phase of the program, Integrative Strategies for Understanding Neural and Cognitive Systems is open to proposals to advance the foundations of one or more of the integrative research themes described below. Two of the themes are continued from FY15: Neuroengineering and Brain-Inspired Concepts and Designs, and Individuality and Variation. Two additional themes for FY16 are Cognitive and Neural Processes in Realistic, Complex Environments; and Data-Intensive Neuroscience and Cognitive Science. Within each theme, advances in theory and methods, technological innovations, educational approaches, research infrastructure, and workforce development are all of significant interest. Proposals must be consistent with the missions of the participating directorates. High-risk, high-payoff approaches are expected. Proposals must directly address risks and how they will be managed, potentially transformative payoffs, and the relationship between the risks and rewards at stake.
The program will consider two classes of proposals. INTEGRATIVE FOUNDATIONS awards (CISE, EHR, ENG, SBE) will support projects that develop foundational advances that are deeply connected to a broad scope of important research questions in neural and cognitive systems, and have significant potential for transformative advances in one or more of the integrative thematic areas. CORE+ SUPPLEMENTS (CISE, EHR, ENG) will provide additional support to new or existing projects in the participating directorates, to enable additional activities that will connect those projects to significant new integrative opportunities in neural and cognitive systems.
Cyberspace has transformed the daily lives of people for the better. The rush to adopt cyberspace, however, has exposed its fragility and vulnerabilities: corporations, agencies, national infrastructure and individuals have been victims of cyber-attacks. In December 2011, the National Science and Technology Council (NSTC) with the cooperation of NSF issued a broad, coordinated Federal strategic plan for cybersecurity research and development to “change the game,” minimize the misuses of cyber technology, bolster education and training in cybersecurity, establish a science of cybersecurity, and transition promising cybersecurity research into practice. This challenge requires a dedicated approach to research, development, and education that leverages the disciplines of mathematics and statistics, the social sciences, and engineering together with the computing, communications and information sciences.
The Secure and Trustworthy Cyberspace (SaTC) program welcomes proposals that address cybersecurity from:
- a Trustworthy Computing Systems (TWC) perspective and/or a Social, Behavioral and Economic Sciences (SBE) perspective;
- the Secure, Trustworthy, Assured and Resilient Semiconductors and Systems (STARSS) perspective; or
- the Transition to Practice (TTP) perspective.
Information and Intelligent Systems (IIS)
In a world abundant with computers and blanketed by networks, computing plays a central role in how humans work, learn and live, and provides new modes of communication that transcend traditional geographical and cultural boundaries. As a result, computing technologies and human lives and societies constantly co-evolve, transforming each other in the process. Cyber-Human Systems (CHS) research explores potentially transformative and disruptive ideas, novel theories and technological innovations in computer and information science that accelerate both the creation and our understanding of the complex and increasingly coupled relationships between humans and computing with the broad goal of advancing human capabilities: perceptual and cognitive, physical and virtual, social and societal.
Advancement can take many forms. CHS research addresses diverse computing platforms, including traditional computers, handheld and mobile devices, robots and wearables, and potentially even person-embedded sensors and computers. It develops systems that interact with users through varied and possibly multiple modalities such as innovative computer displays, haptic, audio and brain-machine interfaces, and new interaction techniques that until implemented could only be imagined as science fiction. Proposed projects may work at scales ranging from an individual device with a single user, to networked information systems supporting collaborating groups, to socially intelligent computing, to large, evolving, heterogeneous socio-technical systems supported by pervasive networking, and to systems that merge physical and virtual for both places and people.
CHS research applies knowledge of computing and communications together with theoretical and practical understanding of behavioral, social and design sciences to better develop diverse kinds of systems, such as:
- systems that amplify individual human capabilities through a device or environment that empowers them to improve their performance, achieve their goals, improve well-being and enhance creative expression while assuring that the computer is no longer a distraction or an obstacle.
- systems that enrich the abilities, lives and self-sufficiency of people with disabilities, including people with temporary or situational disabilities.
- systems that enhance virtual collaborations, to enable and improve scientific, engineering and education production and innovation.
- systems that augment people and computers’ ability to work together, to distribute and assimilate information and knowledge as required, to solve previously intractable problems, to do things collectively that neither could do separately.
- systems that use computing to advance society’s cohesiveness, innovativeness, security and sustainability.
In addition, CHS research seeks to improve our fundamental understanding of human-computer symbiosis and computer-mediated human communication, collaboration and competition. It explores how computing leads to new ways of perceiving the self, groups, communities and society, and how humans, in various roles and domains, perceive computing artifacts as they design and use them. It extends the reach of computing to new communities and extends understanding of the newly-created communities made possible by computing. It considers individual and organizational impacts and the wider social implications of ubiquitous computing and communication: not only the value of advances but also critiques of it.
Through partnerships and engagements across diverse and emerging disciplines, CHS research brings novel technology, new perspectives and new models of inquiry, practice and scholarship to computing research and education. While diverse in approach, cyber-human systems research is grounded in theory and rooted in empirical methods to produce broadly applicable and transferable results that advance the knowledge and practice of human-centered computing.
Full NSF Funding Guidelines
Technological advances have resulted in accelerating increases in size, diversity, and complexity of data in virtually all aspects of human endeavor. Our ability to gather data of all types greatly outstrips our cognitive capacity to use it, while scientific, technical, and societal advances are increasingly dependent on new insights, theories, and tools to exploit data effectively for timely delivery of relevant and accurate information and for knowledge discovery. The Information Integration and Informatics (III) program supports research to realize the full transformative potential of data, information and knowledge in this increasingly digital and interconnected world.
III funded projects may address data of unprecedented scale, complexity, and rate of acquisition, as well as issues of heterogeneity and complexity with innovative approaches and deep insights. Projects may support the diverse functionalities and processing needs for data, information and knowledge from disparate and uncoordinated sources, or cope with the changing landscape of computing platforms at scales ranging from small mobile devices to potentially global-scale cloud and networked computing resources. Successful proposals should demonstrate effectiveness in dimensions such as scalability, interactivity, or scientific, technological or societal impact.
III funded projects should address contemporary applications of societal importance through advances in information integration and informatics. Projects may deal with one or more facets of the full knowledge lifecycle, which include acquisition, storage and preservation, use and re-use of data, information, and knowledge for decision-making and action. Ultimately, the deep scientific insights and advanced technologies resulting from III-funded projects will transform the functions and uses of data, information and knowledge in society.
The Robust Intelligence (RI) program encompasses all aspects of the computational understanding and modeling of intelligence in complex, realistic contexts. In contrast to systems that use limited reasoning strategies or address problems in narrow unchanging contexts, robust intelligence may be characterized by flexibility, resourcefulness, creativity, real-time responsiveness and long-term reflection, use of a variety of modeling or reasoning approaches, ability to learn and adapt performance at a level of intelligence seen in humans and animals, and awareness of and competence in larger natural, built, and social contexts. The RI program advances and integrates the research traditions of artificial intelligence, computer vision, human language research, robotics, machine learning, computational neuroscience, cognitive science, and related areas.
Researchers across all areas of RI are addressing progressively richer environments, larger-scale data and more diverse computing platforms, and more sophisticated computational and statistical approaches, looking to nature in many cases to model cognitive and computational processes. Interactions across traditional disciplines are also of increasing importance. For example, speech and dialogue research seeks to understand the cognitive psychological underpinnings of conversation that contribute to the robustness of human speech perception and intention understanding. Computer vision is exploring approaches developed in language processing to represent the semantic information in images and video in ways useful for mining, navigation, and robotic interaction, and working with ideas developed in computer graphics and physics-based modeling to understand and depict collections of images. Language and vision can be used together in a complementary way to enhance understanding, for instance, of an image with use of text that discusses or describes it. A cognitive architecture may bridge sophisticated planning and problem solving modules with perception and action modules, perhaps accounting for certain human or animal behaviors and the ways in which they are learned and applied in new contexts. Multi-agent systems may need to tackle planning and learning as well as coordination in novel environments. Robotic systems need to understand and interact with humans in unfamiliar, unstructured, and dynamic environments. Computational understanding of neurons, networks, and the brain increasingly draws on computer vision, robotics, and machine learning, and provides insights into the neural coding, representations, and learning underlying intelligent behavior in nature.
These examples are meant to convey the general goals of RI, not to limit its scope. The program supports projects that will advance the frontiers of all RI research areas, as well as those that integrate different aspects of these fields.
Full NSF Funding Guidelines
A virtual organization is a group of individuals whose members and resources may be dispersed geographically, but who function as a coherent unit through the use of cyberinfrastructure. Virtual organizations are increasingly central to the science and engineering projects funded by the National Science Foundation. Focused investments in sociotechnical analyses of virtual organizations are necessary to harness their full potential and the promise they offer for discovery and learning.
The Virtual Organizations as Sociotechnical Systems (VOSS) program supports fundamental scientific research, particularly advances in social, organizational and design science understanding, directed at advancing the understanding of how to develop virtual organizations and under what conditions virtual organizations can enable and enhance scientific, engineering, and education production and innovation. Levels of analysis may include (but are not limited to) individuals, groups, organizations, and institutional arrangements. Disciplinary perspectives may include (but are not limited to) anthropology, complexity sciences, computer and information sciences, decision and management sciences, economics, engineering, organization theory, organizational behavior, social and industrial psychology, public administration, political science and sociology. Research methods may span a broad variety of qualitative and quantitative methods, including (but not limited to): ethnographies, surveys, simulation studies, experiments, comparative case studies, and network analyses.
VOSS funded research must be grounded in theory and rooted in empirical methods. It must produce broadly applicable and transferable results that augment knowledge and practice of virtual organizations as a modality. VOSS does not support proposals that aim to implement or evaluate individual virtual organizations.
Full NSF Funding Guidelines