十大赌博正规老平台 Welcomes Second Data Scientist with Expertise in Remote Sensing & 人工智能

迈克尔·埃文斯博士.D.，加入Kumar Mainali博士.D.他在保护创新中心工作 

安纳波利斯, 医学博士-今日, 十大赌博正规老平台 announced the addition of a data scientist with expertise in remote sensing and artificial intelligence to the organization’s 环保创新中心 (CIC). 高级数据科学家迈克尔•埃文斯博士.D., joins Data Science Lead/Senior Data Scientist Kumar Mainali, Ph.D.他于2019年开始在中投工作. Both positions are funded by a grant from the Grayce B. 克尔基金公司. Dr. 埃文斯 will develop new ways to use data and technology to improve conservation decision-making.

Dr. 埃文斯拥有博士学位.D. in natural resource management from the University of 连接icut and previously worked as the senior conservation data scientist at Defenders of 野生动物. 在那里, 他使用了空间, remote sensing and administrative data to develop tools and approaches to better conserve imperiled species and improve federal conservation policy. 他最近发表了一篇论文，Novel data show expert wildlife agencies are important to endangered species protection，“并与他人合著了另外两篇文章，”Coproduce conservation technology with decision-makers and practitioners to increase its impact， "和"Pumas Puma concolor as ecological brokers: a review of their biotic relationships.”

Dr. Mainali的 最近发表在《十大赌博平台排行榜》杂志上 proposes a new method for analyzing co-occurrence and similarity, that represents  a major methodological development in the field of ecology. This new method offers improvements for analysis of similarities between populations or in geospatial patterns, 哪一个有望改善对生物多样性的分析, 景观生态学与环境科学.

This new approach will be applied in an ambitious biodiversity mapping project that Dr. Mainali和Dr. 埃文斯 will shape at 十大赌博正规老平台 using sophisticated machine learning and artificial intelligence to model future distribution of species. The initiative will examine habitat ranges of thousands of species and assess how changes in both climate and land use will impact the distribution of the native animal and plant species of our region.使用这些数据洞察, we can create a dynamic understanding of the landscape that captures both species and people, to ensure that conservation and restoration efforts successfully protect tomorrow’s forests, 湿地及生境.

“The academic endeavor of a static species distribution modeling at coarse spatial resolution is not going to be good enough to tackle the challenges of biodiversity conservation in a rapidly changing world. We aim to build a set of machine learning models and AI systems to guide us in our conservation efforts at parcel level to protect the parcels today that will matter most to species in the future,博士说。. Mainali.

在一起,博士. Mainali和Dr. 埃文斯 will map biodiversity hotspots of species aggregation and community change resulting from climate change. “Dr. 埃文斯拥有一套独特的技能, 生态学方面的专业知识和洞察力, 统计学和机器学习. 与博士合作. 埃文斯 is going to add to our biodiversity mapping effort,博士说。. Mainali. The project will also offer important insights into how major regional conservation and restoration efforts, 比如修复切萨皮克湾, can leverage this information to support native biodiversity in a changing climate.

“I’ve been an admirer of the Conservancy’s work for a while, having previously collaborated with the CIC on several projects combining deep-learning approaches and remote sensing data,”医生说。. 埃文斯. “The organization’s data-driven approach to conservation and focus on place-based impacts are unique and invigorating. I couldn’t be happier to join this team and see what the deliberate use of data and technology can achieve for conservation.”

“我们很兴奋地欢迎Dr. 迈克尔•埃文斯, our second expert in machine learning and artificial intelligence,” said 十大赌博正规老平台 Executive Vice President Mark Conway. “机器学习, AI and deep learning are crucial to our partnership efforts to protect 30% of the Chesapeake Bay watershed by 2030.”

“Dr. 迈克尔•埃文斯 brings to the 环保创新中心 a wealth of knowledge and experience related to data science, 深度学习和精确保护,” said 十大赌博正规老平台 Vice President of Technology Susan Minnemeyer. “现在, 船上有两名数据科学家, our growing data science team will generate data to empower better conservation strategies for the Chesapeake Bay watershed and beyond, developing tools and insights to better understand human impact on our environment and to create a more resilient future.”

The CIC was established in 2013 to use cutting-edge technology to empower data-driven conservation and restoration. Just as the use of technology changed the corporate world and made it more efficient, technology is doing the same for the conservation movement. 通过当地, 国家和国际伙伴关系, the CIC makes this data accessible for restoration professionals to practice precision conservation, 用更少的资源产生更大的影响.