GAPP applauds the leadership of Donn Grenda, chair of our Identification & Information Resources Working Group. The IIR Working Group is developing a GIS-based predictive modeling tool to help inform energy companies about the location of cultural resources early in their planning process.

Donn at Lake Geneva

Donn Grenda is the President of Statistical Research, Inc., a cultural resource management firm with offices throughout the western United States. Dr. Grenda specializes in historical archaeology, California prehistory, hunter-gatherer studies, and archaeological method and theory. He was appointed by the Governor of California to the California State Historical Resources Commission (2005-2013) and served as chairperson from 2006-2008 and vice-chair in 2013. During his time on the Commission, he was instrumental in accelerating the digital conversion process for the California Historical Resources Information System (CHRIS). Under contract from the Southern California Gas Company, Dr. Grenda oversaw the digital conversion process for a number of southern California Information Centers. This experience led to his involvement in the IIR Working Group for GAPP. Dr. Grenda also serves on the board of directors for several nonprofits. He holds a B.A. in Economics and Anthropology from the University of Redlands, an M.A. in Anthropology from the College of William and Mary, and a Ph.D. in Anthropology from the University of Arizona.

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Statistical Research, Inc. (SRI) offers diverse services in archaeology, anthropology, history, and historic architecture. SRI specializes in applied research, with a focus on practical solutions to cultural resource management issues, balancing economic development with mandates to preserve the past. Our clients include the private and public sectors. We serve developers, planners, architectural firms, public agencies, and federal land managers. SRI has gained an international reputation for rethinking cultural compliance and achieving solutions that use better science to achieve faster, less expensive, and more reliable results.