Education, Licensure and Certification (2)
Ph.D.: Political Science, University of Rochester 2012
B.S.: Chemistry and Political Science, University of Wisconsin–Madison 2004
Dr. Jeremy Kedziora is an award-winning researcher and scientist with 17 years of experience developing new methods in machine learning, Bayesian inference, and game theory. Previously, Kedziora was a director of data science and analytics at Northwestern Mutual, where he managed the development of cybersecurity machine learning and at Giant Oak where he focused on natural language processing.
Kedziora also served for nine years at the Central Intelligence Agency as a chief methodologist where he led applied R&D efforts in data science and modeling. He holds a Ph.D. in Political Science from the University of Rochester and teaches at Milwaukee School of Engineering, where he is the PieperPower Endowed Chair for Artificial Intelligence.
Areas of Expertise (5)
Directors Award, Central Intelligence Agency
2011, 2014, 2017
Cutting Edge Innovation Award, Central Intelligence Agency
Paper of the Year, Central Intelligence Agency
Exceptional Performance Awards (15), Central Intelligence Agency
Political Science Department Distinguished Teaching Award, University of Rochester
Theory and Statistical Research Laboratory Best Paper Prize, University of Rochester
W. Allen Wallis Institute of Political Economy PEPR Grant, University of Rochester
Charles E. Lanni Research Fellowship, University of Rochester
William H. Riker Fellowship, University of Rochester
- American Political Science Association
- International Studies Association
- Midwest Political Science Association
- Peace Science Society
- Society for Political Methodology
Media Appearances (2)
MSOE names Dr. Jeremy Kedziora as Endowed Chair in Artificial Intelligence
MSOE News online
Jeremy Kedziora, Ph.D. has been named the PieperPower Endowed Chair in Artificial Intelligence at Milwaukee School of Engineering. “Artificial intelligence and machine learning are part of everyday life at home and work. Businesses and industries—from manufacturing to health care and everything in between—are using them to solve problems, improve efficiencies and invent new products,” said Dr. John Walz, MSOE president. “We are excited to welcome Dr. Jeremy Kedziora as MSOE’s first PieperPower Endowed Chair in Artificial Intelligence. With MSOE as an educational leader in this space, it is imperative that our students are prepared to develop and advance AI and machine learning technologies while at the same time implementing them in a responsible and ethical manner.” The PieperPower Endowed Chair in Artificial Intelligence was made possible through a $2.5 million gift from Pieper Electric Inc. and the PPC Foundation Inc. This new role at MSOE further positions the university at the forefront of artificial intelligence education and next generation technologies. Kedziora will hold a full-time faculty position in the Electrical Engineering and Computer Science Department at MSOE and will pursue research advancing the interaction of artificial intelligence with humans and its potential impact.
Beyond Google: New Approaches to Indexing the Open and Deep Web
Giant Oak Insights online
On Thursday, May 14 Giant Oak and #NatSecGirlSquad presented the webinar "Beyond Google: New Approaches to Indexing the Open and Deep Web" with speaker Dr. Jeremy Kedziora, Giant Oak Director of Science. During this session, Dr Kedziora discussed the basics of indexing the web as well as the differences between traditional search engines and customizable machine-learning tools, such as GOST®. The full recording is available below.
Selected Publications (2)
Systematic review on effects of bioenergy from edible versus inedible feedstocks on food securitynpj Science of Food
Ahmed, Selena, Teresa Warne, Erin Smith, Hannah Goemann, Greta Linse, Mark Greenwood, Jeremy Kedziora et al.
2021 Achieving food security is a critical challenge of the Anthropocene that may conflict with environmental and societal goals such as increased energy access. The "fuel versus food" debate coupled with climate mitigation efforts has given rise to next-generation biofuels. Findings of this systematic review indicate just over half of the studies (56% of 224 publications) reported a negative impact of bioenergy production on food security. However, no relationship was found between bioenergy feedstocks that are edible versus inedible and food security (P value = 0.15). A strong relationship was found between bioenergy and type of food security parameter (P value < 0.001), sociodemographic index of study location (P value = 0.001), spatial scale (P value < 0.001), and temporal scale (P value = 0.017). Programs and policies focused on bioenergy and climate mitigation should monitor multiple food security parameters at various scales over the long term toward achieving diverse sustainability goals.
Organizing for violenceUniversity of Rochester
2013 This dissertation consists of three essays that analyze the emergence of the state and how the logic of its organization shapes its major pursuit: war. In the first essay, I develop a theory of state formation in which a sovereign must delegate policy implementation to local barons, aware that doing so empowers those barons to act against him. I find that militarily weak sovereigns construct federations by relying on barons whose policy preferences mirror their own while militarily strong sovereigns construct centralized states by relying on barons whose policy preferences are far from their own. My second essay analyzes how rulers formulate war aims given the need to bargain with subjects over wartime resource allocation. I find that the relationship between the effect of military victory on the future course of the war and the effect of military victory on diplomacy emerges as the central factor influencing both subject resolve and ruler war aims. This logic suggests a number of important substantive results, for example, that democracies extract more resources during capital intensive wars while autocracies extract more resources during labor intensive wars, and that material inequality limits war aims. In the final essay I leverage the importance of bargaining between ruler and subject in wartime resource allocation to advance a Bayesian methodology for measuring the uncertainty facing states involved in disputes over the war-fighting capabilities of their opponents. I then analyze the probability of a militarized interstate dispute escalating to war and find that it increases greatly in the presence of uncertainty over capabilities/resolve.