No abstract

The Multimessenger Diversity Network (MDN), formed in 2018, extends the basic principle of multimessenger astronomy -that working collaboratively with different approaches enhances understanding and enables previously impossible discoveries -to equity, diversity, and inclusion (EDI) in science research collaborations. With support from the National Science Foundation INCLUDES program, the MDN focuses on increasing EDI by sharing knowledge, experiences, training, and resources among representatives from multimessenger science collaborations. Representatives to the MDN become engagement leads in their collaboration, extending the reach of the community of practice. An overview of the MDN structure, lessons learned, and how to join are presented.

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In response to survival challenges, small farms in the United States undertake decisions to minimize downside risk or maximize gross revenue. Using primary survey data of small farms in Tennessee, we examined farmers’ strategic decisions on specialization or other forms of diversification and estimated the impacts of these decisions on farm financial performance. We found that farmer’s age, farmland holdings, use of a smartphone in farm-related activities, and off-farm work significantly influenced these strategic decisions. Our multinomial endogenous switching regression estimates suggested that small farms could attain significantly higher performance, around 45% higher gross farm income and a 30% higher return on assets, by adding alternative on-farm enterprises.

The Multimessenger Diversity Network (MDN), formed in 2018, extends the basic principle of multimessenger astronomy -that working collaboratively with different approaches enhances understanding and enables previously impossible discoveries -to equity, diversity, and inclusion (EDI) in science research collaborations. With support from the National Science Foundation INCLUDES program, the MDN focuses on increasing EDI by sharing knowledge, experiences, training, and resources among representatives from multimessenger science collaborations. Representatives to the MDN become engagement leads in their collaboration, extending the reach of the community of practice. An overview of the MDN structure, lessons learned, and how to join are presented.