{"nodes":[{"node":{"nid":"73261","title":"Genetic Data after Bankruptcy: Policy Lessons From 23andMe","campus":"Online event, Washington, D.C.","locations":"ASU Barrett \u0026amp; O\u0026#039;Connor Washington Center","college_unit":"Consortium for Science, Policy \u0026amp; Outcomes","department":"","field_cost_value":"Free","event_price_level":"Free","asu_events_price_desc":"Free","body_summary":"\u003Cp\u003EWhen 23andMe, a pioneer in direct-to-consumer genetic testing, filed for bankruptcy in March 2025\u003C\/p\u003E","full_body":"\u003Cp\u003EWhen 23andMe, a pioneer in direct-to-consumer genetic testing, filed for bankruptcy in March 2025, consumers, state and federal regulators, and policymakers were caught flatfooted over the fate of the sensitive genetic data of some 15 million Americans. As growing volumes of genetic\u2014and increasingly full genomic\u2014data are collected and stored by private firms, this episode underscores the likelihood that similar scenarios will recur across the biotechnology, health data, and digital health sectors. In this program, the speaker\u2014an expert in bankruptcy law, regulatory enforcement, and data-related policy issues, with prior experience leading investigations into cybersecurity, privacy, and consumer protection violations\u2014explains how data assets are treated under existing insolvency frameworks. He also assesses the current landscape of state protections and emerging federal policy responses governing genetic and health data collected by consumer testing companies. Our discussion will examine the governance gaps and consumer-protection challenges that arise when genetic databases are treated as transferable assets during financial distress and will explore policy options of relevance to both state and federal policymakers seeking to better align bankruptcy law, data protection regimes, and innovation incentives.\u003C\/p\u003E","phone":"","contactname":"Consortium for Science, Policy \u0026amp; Outcomes","email":"cspo@asu.edu","delta":"0","alias":"https:\/\/asuevents.asu.edu\/event\/genetic-data-after-bankruptcy-policy-lessons-23andme?id=0","ticketing_rsvp_txt":"Register","ticketing_rsvp_txt2":"","ticketing_rsvp_url":"https:\/\/cspo.org\/event\/ntsp041426\/","ticketing_rsvp_url2":"","website":"","image_url":"https:\/\/asuevents.asu.edu\/sites\/g\/files\/litvpz3506\/files\/2026-02\/Rethinking-Science-Policy-Speaker-Series-Flyer-2%20%281%29_0.png","image_alt":"","image_title":"","start_date":"Apr 14 2026 - 6:00am","end_date":"Apr 14 2026 - 7:30am","time_description":"","very_start_date":"2026-04-14T06:00:00Z","very_end_date":"2026-04-14T07:30:00Z","event_types":"Seminar, Webinar","interests":"Bioscience|Science","audiences":"For current ASU students|For staff|For faculty|For international students|For the community","event_units":"Consortium for Science, Policy \u0026amp; Outcomes","event_topics":"Free|Open to the public|Science","download":"","event_map_url":"https:\/\/maps.app.goo.gl\/iBGtHu6REdCswqA49","event_map_title":"","event_video":"","location_term":"Online event, Washington, D.C.","venue_address":"1800 I Street NW","venue_city":"Washington","venue_state":"D.C.","venue_zip":"20006","alias-indexed":"https:\/\/asuevents.asu.edu\/event\/genetic-data-after-bankruptcy-policy-lessons-23andme?id=0","sport_tag":"","game_type":"","subtitle":"Policy Lessons From 23andMe","season":"","athletic_conference":"","tv_network":"","radio_station":"","wear_color":"","game_theme":"","history":"","history_text":"","related_stories":"","related_stories_text":"","game_notes":"","game_notes_text":"","recap_link":"","recap_link_text":"","live_stats":"","live_stats_text":"","game_time_tba":"No","sda_all_day":"No","opponent_logo":"","related_videos":"","related_videos_text":""}},{"node":{"nid":"73266","title":"Influence Mapper: A Large Language Model-based Tool to Examine Sponsor Influence in Health Research","campus":"Online event, Washington, D.C.","locations":"ASU Barrett \u0026amp; O\u0026#039;Connor Washington Center","college_unit":"Consortium for Science, Policy \u0026amp; Outcomes","department":"","field_cost_value":"Free","event_price_level":"Free","asu_events_price_desc":"Free","body_summary":"\u003Cp\u003EHow can federal agencies and policymakers assess the ways in which financial sponsorship shapes t\u003C\/p\u003E","full_body":"\u003Cp\u003EHow can federal agencies and policymakers assess the ways in which financial sponsorship shapes the evidence base used to inform regulation, treatment coverage, and public health decision-making? As scientific output grows at an exponential scale, existing oversight tools such as disclosure notices struggle to keep pace with the volume and complexity of potential conflicts of interest in health research. This talk introduces InfluenceMapper\u003Cspan\u003E, a large language model (LLM)\u2013based tool designed to extract, structure, and analyze disclosure information from scientific publications at scale. The presentation describes the development of the tool and presents empirical findings regarding patterns of sponsorship bias across areas of health research. It also examines how such tools can support agency missions related to research integrity, evidence evaluation, and public trust. The talk concludes by reflecting on the broader opportunities and challenges posed by the use of LLMs and artificial intelligence in science and public policy, including issues of transparency, validation, governance, and responsible deployment to strengthen evidence oversight.\u003C\/span\u003E\u003C\/p\u003E","phone":"","contactname":"Consortium for Science, Policy \u0026amp; Outcomes","email":"cspo@asu.edu","delta":"0","alias":"https:\/\/asuevents.asu.edu\/event\/influence-mapper-large-language-model-based-tool-examine-sponsor-influence-health-research?id=0","ticketing_rsvp_txt":"Register","ticketing_rsvp_txt2":"","ticketing_rsvp_url":"https:\/\/cspo.org\/event\/ntsp051326\/","ticketing_rsvp_url2":"","website":"","image_url":"https:\/\/asuevents.asu.edu\/sites\/g\/files\/litvpz3506\/files\/2026-02\/Rethinking-Science-Policy-Speaker-Series-Flyer-2%20%281%29_1.png","image_alt":"","image_title":"","start_date":"May 13 2026 - 6:00am","end_date":"May 13 2026 - 7:30am","time_description":"","very_start_date":"2026-05-13T06:00:00Z","very_end_date":"2026-05-13T07:30:00Z","event_types":"Seminar, Webinar","interests":"Science","audiences":"For current ASU students|For staff|For faculty|For international students|For the community","event_units":"Consortium for Science, Policy \u0026amp; Outcomes","event_topics":"Free|Open to the public|Science","download":"","event_map_url":"https:\/\/maps.app.goo.gl\/iBGtHu6REdCswqA49","event_map_title":"","event_video":"","location_term":"Online event, Washington, D.C.","venue_address":"1800 I Street NW","venue_city":"Washington","venue_state":"D.C.","venue_zip":"20006","alias-indexed":"https:\/\/asuevents.asu.edu\/event\/influence-mapper-large-language-model-based-tool-examine-sponsor-influence-health-research?id=0","sport_tag":"","game_type":"","subtitle":"A Large Language Model-based Tool to Examine Sponsor Influence in Health Research","season":"","athletic_conference":"","tv_network":"","radio_station":"","wear_color":"","game_theme":"","history":"","history_text":"","related_stories":"","related_stories_text":"","game_notes":"","game_notes_text":"","recap_link":"","recap_link_text":"","live_stats":"","live_stats_text":"","game_time_tba":"No","sda_all_day":"No","opponent_logo":"","related_videos":"","related_videos_text":""}}]}