V. Kann Rasmussen Foundation—Cultural Resilience and Global Leadership under the Conditions of Environmental Breakdown
The urgency of dealing with unsustainable consumption, the climate crisis, and their consequential impacts to our natural systems are the overall themes for the V. Kann Rasmussen Foundation. The complexity surrounding the impacts of climate change and scaling of our collective mitigation efforts are primary concerns. The Foundation favors projects that consider all life equally important, use a systems approach to address root causes and achieve change, take stock of and tell the truth about the scale, complexity, and urgency of dealing with environmental problems, are based on original thinking, creative ideas, and experimentation, alter power dynamics related to decision-making and influence, and have international significance and perspective, even if they are locally based. The V. Kann Rasmussen Foundation works primarily on international-level issues.
As part of data.org’s commitment to building the field of data science for social impact, they have launched a $10 million data.org Inclusive Growth and Recovery Challenge. The challenge will seek to elicit proposals for scalable and sustainable data science solutions from and for every part of the world.
In response to the crises of 2020, the foundation is dedicating its next funding cycle exclusively to research that seeks to improve our understanding of these extraordinary times. The severe consequences of the Covid19-pandemic, including its economic disruptions, and the recent mass protests to combat systemic racial inequality in policing and other institutions have reaffirmed the importance of social science research examining economic, political, racial, ethnic, generational, and social inequalities relevant to public policy and social change.
The TD Ready Challenge is an annual North American initiative, which supports organizations developing innovative solutions for a changing world. Recipients must be organizations that have impactful and measurable solutions focused on helping to open doors for a more inclusive and sustainable tomorrow.
The Retirement Income Institute’s (“Institute”) mission is to create a bridge from ideas, research, and evidence to action related to protected lifetime income — by retirement savers, the Alliance for Lifetime Income’s member companies, employer plan sponsors, financial professionals, and other key participants in the U.S.’s retirement ecosystem.
The Foundation supports scholars and institutions interested in challenging the current approach, providing alternative visions for U.S. foreign policy, and engaging in research that can bridge the gap between ideas and policy. The Foundation is especially interested in foreign policy research projects from political science, international relations, history, or economics. However, proposals from all fields will be considered on their merits.
The Russell Sage Foundation offers small grants to support high quality research in behavioral economics and to encourage young investigators (Ph.D. students and recent graduates) to enter this developing field.
This call for research seeks to fund innovative approaches to both predicting as well as detecting situations in which the theft of sensitive data, threats to the integrity of data, or the attempt
In summary, it is invited that research proposals be submitted in the following areas:
- Studies comparing the pros/cons of LTE-Advanced/LTE-Advanced Pro, 5G NR and 802.11ax/ay.
- Studies of the pros/cons of LTE-M, NB-IoT, V2X in 3GPP Rel-14, IoT support in 5G NR in 3GPP Rel-15, LWPA technologies (e.g. LoRa, Sigfox, etc.) and 802.11p/DSRC.
- Enhancements for Wi-Fi evolution to improve “determinism”
- Support for combined access nodes that can support combinations of technologies
- Support for aggregation techniques such as MP-TCP, Multi-Link QUIC, LWA and LWIP
CISCO Research Center - Legal Implications for IoT, Machine Learning and Artificial Intelligence Systems
This request for proposals invites researchers to investigate legal and policy issues in the quickly developing world of machine learning, artificial intelligence, machine-to-machine interactions, and the rapidly expanding world of data creation, transfer, collection and analysis from Internet of Things.