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Kira Goldner<\/span><\/a> is a <\/span>Shibulal Family Career Development Assistant Professor<\/span><\/a> in the Faculty of Computing & Data Sciences at Boston University with a secondary appointment in Computer Science. With students and collaborators, she pursues research is in the area of mechanism design for social good.<\/span><\/p>\n Prior to joining BU, Goldner completed her Bachelor of Arts at Oberlin College where she majored in Mathematics. Following her graduation, Goldner found that she was deeply interested in theoretical computer science and algorithms and went on to attend the University of Washington where she earned a Masters and PhD in Computer Science and Engineering.\u00a0<\/span><\/p>\n Goldner was drawn to the challenge presented by strategic interactions with algorithms, specifically mechanism design and the goal of revenue maximization as mathematically, this is one of the hardest challenges. Her dissertation was titled \u2018 Mechanism Design for a Complex World: Rethinking Standard Assumptions\u2019. She was also an NSF Mathematical Sciences Postdoctoral Research Fellow and a Data Science Institute Postdoctoral Fellow at Columbia University hosted by Tim Roughgarden.<\/span><\/p>\n However, after listening to a talk by Cynthia Dwork about differential privacy and fairness in machine learning Goldner\u2019s interests changed.<\/span><\/p>\n \u201cIt sort of clicked – why am I doing revenue maximization when I could be doing something for society,\u201d Goldner shares. \u201cI still wanted to be doing the same fascinating math, but for society instead. So that became my goal: to use the same tools, but to help society.\u201d<\/span><\/p>\n For Goldner, her main professional interests are participating in the community of people who are also interested in this intersection of incentives and algorithms, the EconCS community, as well as forming a community for individuals who are interested in mechanism design for social good.<\/span><\/p>\n At the moment, Goldner is working on expanding theory aimed toward social impact.\u00a0<\/span><\/p>\n \u201cFoundational theory has a lot of assumptions in order to get to the most elegant solutions,\u201d Goldner clarifies. \u201cBut that\u2019s not always so realistic in practice. In order to make the theory apply to the world we live in, we need to expand the theory to assumptions that make sense.\u201d<\/span><\/p>\n One model that Goldner is particularly interested in is called the interdependent values model – which was part of the 2020 Nobel Prize for Economics. To explain this theory, Goldner uses the example of the house-buying process.<\/span><\/p>\n \u201cIt basically encapsulates the fact that when we\u2019re interested in buying a house, we\u2019re not actually sure how much we\u2019re willing to pay for the house because we don\u2019t have all the information about the house,\u201d Goldner says. \u201cWe don’t know how good the foundation is, how good the pipes in the bathroom are, or how good the roofing is, but maybe some other people know that information. So, our valuation depends on that information that other people have.\u201d<\/span><\/p>\n Most prior theory assumes that once the individual pieces of information are learned, it is already publicly known how each individual uses that information to form their valuation. However, while this may be true in some situations, it is not always realistic in every scenario. Goldner is investigating this with coauthors Alon Eden and Shuran Zheng.<\/span><\/p>\n \u201cThe thing is, you don’t <\/span>actually<\/span><\/i> know how I combine information to form a valuation of how much I’m willing to pay for the house,\u201d Goldner explains. \u201cIn settings where this is private, to know how much I’m willing to pay for the house, you would need to ask me how I came up with the valuation. Dealing with this private information and eliciting this private data – which is all very complex private information, requires a whole different approach and it’s very complicated.\u201d<\/span><\/p>\n However, Golder asserts that individuals interested in data science should not be deterred by their lack of background knowledge or data science\u2019s perceived complications. This is a view that she carries into the classroom when teaching.<\/span><\/p>\n \u201cI don’t think it should matter the background that people have,\u201d Goldner states. \u201cI think the most important thing is people\u2019s willingness to learn and the ability to teach oneself – if somebody is willing to come and learn no matter what it takes, then that\u2019s what’s important.\u201d<\/span><\/p>\n For those considering entering the data science and computing field but are unsure of where they stand, Goldner understands. When she first transitioned into computer science, Goldner felt that her database of knowledge was not on par with her peers and had to teach herself extra material in order to catch up.\u00a0<\/span><\/p>\n \u201cData science is exactly the area that says: it doesn’t matter what your background is so far, and it doesn\u2019t matter where you\u2019re going with it,\u201d Goldner says. \u201cIt doesn’t matter what your before and after path is and how they match up with everyone else, they don\u2019t have to be the same. This is where you come to learn the skills in between. This is where people match up in the middle.\u201d<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" Read about Kira Goldner, a new assistant professor in CDS with research in connecting theory to social impact.<\/p>\n","protected":false},"author":1690,"featured_media":1327,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,14],"tags":[31,22,44],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/posts\/2036"}],"collection":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/users\/1690"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/comments?post=2036"}],"version-history":[{"count":7,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/posts\/2036\/revisions"}],"predecessor-version":[{"id":8592,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/posts\/2036\/revisions\/8592"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/media\/1327"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/media?parent=2036"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/categories?post=2036"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/tags?post=2036"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}