{"title":"将跨学科视为交互:或者作为一个跨学科团队开发一个机器学习工具来解决基于性别的在线暴力和仇恨言论","authors":"Cheshta Arora, Tarunima Prabhakar","doi":"10.46298/jimis.8915","DOIUrl":null,"url":null,"abstract":"The paper reflects on the working of an interdisciplinary team consisting of researchers and activists from the field of computer science and social sciences involved in developing a user-facing, browser plug-in to detect and moderate instances of online gender-based violence, hate speech and harassment in Hindi, Indian English, and Tamil. There have been multiple calls within the field of Human-Computer Interaction (HCI) to include qualitative methods in one’s research design. These calls, while attuned to the importance of qualitative methods for HCI, ignore the intercurrent nature of different research methods, disciplines and practices. The paper borrows the concept of intercurrence from Orren & Skowronek (1996) and reorients it to explicate the practice of interdisciplinary research. It argues that intercurrence i.e. (in between, an occurrence within an occurrence) is a useful image to perceive interdisciplinarity wherein we argue that at any given point, an interdisciplinary team navigates multiple, yet simultaneously occurring temporal dimensions of differently disciplined bodies. An awareness of these multiple temporalities adds another dimension to thinking about conflicts and possibilities emerging from interdisciplinary practices and reorients interdisciplinary research towards unexpected outcomes.","PeriodicalId":477165,"journal":{"name":"Journal of interdisciplinary methodologies and issues in science","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"To think of interdisciplinarity as intercurrence: Or, working as an interdisciplinary team to develop an ML tool to tackle online gender-based violence and hate speech\",\"authors\":\"Cheshta Arora, Tarunima Prabhakar\",\"doi\":\"10.46298/jimis.8915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper reflects on the working of an interdisciplinary team consisting of researchers and activists from the field of computer science and social sciences involved in developing a user-facing, browser plug-in to detect and moderate instances of online gender-based violence, hate speech and harassment in Hindi, Indian English, and Tamil. There have been multiple calls within the field of Human-Computer Interaction (HCI) to include qualitative methods in one’s research design. These calls, while attuned to the importance of qualitative methods for HCI, ignore the intercurrent nature of different research methods, disciplines and practices. The paper borrows the concept of intercurrence from Orren & Skowronek (1996) and reorients it to explicate the practice of interdisciplinary research. It argues that intercurrence i.e. (in between, an occurrence within an occurrence) is a useful image to perceive interdisciplinarity wherein we argue that at any given point, an interdisciplinary team navigates multiple, yet simultaneously occurring temporal dimensions of differently disciplined bodies. An awareness of these multiple temporalities adds another dimension to thinking about conflicts and possibilities emerging from interdisciplinary practices and reorients interdisciplinary research towards unexpected outcomes.\",\"PeriodicalId\":477165,\"journal\":{\"name\":\"Journal of interdisciplinary methodologies and issues in science\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of interdisciplinary methodologies and issues in science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46298/jimis.8915\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of interdisciplinary methodologies and issues in science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46298/jimis.8915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To think of interdisciplinarity as intercurrence: Or, working as an interdisciplinary team to develop an ML tool to tackle online gender-based violence and hate speech
The paper reflects on the working of an interdisciplinary team consisting of researchers and activists from the field of computer science and social sciences involved in developing a user-facing, browser plug-in to detect and moderate instances of online gender-based violence, hate speech and harassment in Hindi, Indian English, and Tamil. There have been multiple calls within the field of Human-Computer Interaction (HCI) to include qualitative methods in one’s research design. These calls, while attuned to the importance of qualitative methods for HCI, ignore the intercurrent nature of different research methods, disciplines and practices. The paper borrows the concept of intercurrence from Orren & Skowronek (1996) and reorients it to explicate the practice of interdisciplinary research. It argues that intercurrence i.e. (in between, an occurrence within an occurrence) is a useful image to perceive interdisciplinarity wherein we argue that at any given point, an interdisciplinary team navigates multiple, yet simultaneously occurring temporal dimensions of differently disciplined bodies. An awareness of these multiple temporalities adds another dimension to thinking about conflicts and possibilities emerging from interdisciplinary practices and reorients interdisciplinary research towards unexpected outcomes.